[Due to the increasing size of the archives, each topic page now contains only the prior 365 days of content. Access to older stories is now solely through the Monthly Archive pages or the site search function.]
The interdependency of autonomous electric vehicles and wireless charging
March 22, 2017
Conference presentations at the 4th International Electric Vehicle Expo this week in Jeju, South Korea, explored issues related to automated driving systems, electric vehicles and infrastructure. Specifically, two presentations from KAIST (Korea Advanced Institute of Science and Technology) and SAE International addressed the interdependence of standardization, autonomous electric vehicles and wireless charging.
“The issue with conductive charging is though there are plenty of standards, unfortunately many of these standards are simply not compatible. This incompatibility hurts not only the infrastructure, but also the commercialization of the electric vehicle as the customer does not accept not being able to go to a specific charging [spot],” said Dr. Uooyeol Yoon of KAIST.
Volvo CE unveils the next generation of its autonomous electric load carrier concept
Volvo Construction Equipment (CE) presented the HX2 autonomous, battery-electric, load carrier at CONEXPO/CON-AGG 2017. The second-generation concept machine is part of an electric site research project that aims to transform the quarry and aggregates industry, reducing carbon emissions by up to 95% and total cost of ownership by up to 25%.
Volvo CE showcased the first-generation of the prototype HX machine—HX1—at the company’s Xploration Forum in September last year. Since then, Volvo CE’s engineers have been further developing the machine.
NASA’s hybrid computer enables Raven’s autonomous docking capability
A hybrid computing system developed at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, is the enabling technology behind an ambitious experiment testing a relative navigation and autonomous docking capability known as Raven.
Developed by the Satellite Servicing Projects Division (SSPD) the carry-on luggage-sized module was launched 19 February aboard SpaceX’s Dragon spacecraft, along with other experiments deployed outside the International Space Station on an experiment pallet. Raven is testing and maturing visible, infrared and LiDAR sensors and machine-vision algorithms; the module will bring NASA one step closer to realizing a groundbreaking autopilot capability that can be applied to many NASA missions for decades to come.
Elektrobit adds four new software modules to EB robinos framework for developing automated driving systems
March 21, 2017
Elektrobit (EB), a leading developer of embedded and connected technology solutions for the automotive industry, introduced four new modules for its EB robinos product line: EB robinos Grid Fusion, EB robinos Path Planning, EB robinos Positioning and EB robinos Safety Management. These modules enable automakers and automotive suppliers to add functionalities for Highly Automated Driving (HAD) applications including automated parking, highway driving and lane keeping.
Announced in 2016, EB robinos is a hardware-agnostic framework that enables carmakers and automotive suppliers to develop and bring to market increasingly automated driving features and manage the complexity of advanced in-car systems. It defines an application-layer architecture for advanced driver assistance systems (ADAS) up to SAE level 5 automated driving.
Mitsubishi Electric develops technologies for automated mapping and extraction of transitions in mapping landscape for high-precision 3D maps
March 16, 2017
Mitsubishi Electric Corporation has developed two new technologies to support the creation and maintenance of high-precision 3D maps required for autonomous driving (earlier post): AI-based automated mapping; and the extraction of transitions in mapping landscapes.
The technologies are based on the company’s own Mobile Mapping System (MMS) (earlier post) for the creation of highly precise three-dimensional maps that provide static information of roads and surrounding objects. Both technologies will be exhibited for the first time at CeBIT 2017 in Hannover, Germany from 20-24 March 2017.
Volvo Trucks and PATH successfully demo partially automated on-highway truck platooning in California; CACC
March 14, 2017
Volvo Trucks and Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley recently completed a successful demonstration of partially automated truck platooning, made possible by Cooperative Adaptive Cruise Control technology (CACC).
Three Volvo VNL 670 model tractors hauled cargo containers at the Los Angeles Port complex and along Interstate 110, highlighting for public officials and other stakeholders the technology’s potential for improving highway safety, reducing greenhouse gas emissions, and increasing the capacity of transportation systems.
Intel to acquire Mobileye for $15.3 billion; targeting autonomous driving
March 13, 2017
Intel Corporation announced a definitive agreement under which Intel would acquire Mobileye, a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver assistance systems and autonomous driving. A subsidiary of Intel will commence a tender offer to acquire all of the issued and outstanding ordinary shares of Mobileye for $63.54 per share in cash, representing an equity value of approximately $15.3 billion and an enterprise value of $14.7 billion.
The combination is expected to accelerate innovation for the automotive industry and position Intel as a leading technology provider in the fast-growing market for highly and fully autonomous vehicles.
California DMV releases proposed rules for driverless autonomous vehicles; hearing on 25 April
The California Department of Motor Vehicles (DMV) released proposed regulations to establish a path for testing and future deployment of fully autonomous vehicles without drivers.
The proposed regulations address public safety concerns while recognizing the potential of autonomous technology to improve safety, enhance mobility and encourage innovation. The proposed regulations:
Recognize that the National Highway Traffic Safety Administration (NHTSA) is vested with the authority to develop Federal Motor Vehicle Safety Standards (FMVSS) and enforce compliance with safety and performance standards for motor vehicles. DMV is requiring certification to meeting these federal safety standards.
Establish a framework for testing without a driver.
Identify requirements that a manufacturer must meet in order to sell, lease, or otherwise make their vehicle available outside of a testing program.
Address other key topics related to autonomous vehicle deployment, including driver licensing and responsibility, vehicle registration, and advertising of autonomous vehicles.
To gather public input on the regulations, the department will hold a public hearing on Tuesday, 25 April 2017, in Sacramento.
These rules expand our existing autonomous vehicle testing program to include testing vehicles where no driver is present. This is the next step in eventually allowing driverless autonomous vehicles on California roadways.—DMV Director Jean Shiomoto
The DMV received substantial feedback from manufacturers, consumer advocates, local government, insurance companies, and other stakeholders after it released revised draft regulations for testing without a driver and the deployment of autonomous vehicles in September 2016.
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California has more manufacturers testing autonomous vehicles than any other state and today’s rules continue our leadership with this emerging technology. These rules protect public safety, promote innovation and lay out the path for future testing and deployment of driverless technology. This rulemaking is the next step in working with stakeholders to get this right.—California Transportation Agency Secretary Brian P. Kelly
Goodyear shows two concept tires targeting autonomous and shared vehicles; smart tires
March 12, 2017
The Goodyear Tire & Rubber Company showcased several new and emerging technologies in its latest concept tires at the Geneva International Motor Show. In the evolving mobility ecosystem, defined by the transition to driverless vehicles and shared mobility in urban centers, Goodyear aims to revolutionize the interaction between tires, vehicles and their surroundings.
The new concepts—an evolution of the the spherical-shaped Eagle 360 Urban (earlier post) and the IntelliGrip Urban smart tire—apply emerging technologies such as artificial intelligence and vehicle-to-everything (V2X) connectivity.
NIO to have autonomous vehicles in US market in 2020; partnering with Mobileye, NVIDIA and NXP
March 11, 2017
NIO, a next-generation car company, announced that will have autonomous electric vehicles in the US market in 2020. The company also unveiled “NIO EVE”—the embodiment of its vision for the future of autonomous cars.
NIO EVE constantly learns about its occupants and their preferences. At EVE’s heart lies NOMI, an artificial intelligence engine with an intuitive human interface, providing verbal and visual connections both within the vehicle and with the outside world. Nomi uses the vehicle’s active glass to provide an augmented vision for occupants and for new kinds of entertainment.
INRIX analysis identifies top 10 US cities for highly autonomous vehicles; prioritizing corridors for deployment
March 10, 2017
INRIX, a leading global connected car services and transportation analytics company, has created a scalable and customizable scoring system to prioritize corridors for the deployment of highly autonomous vehicles (HAVs). Leveraging aggregated INRIX trip data from millions of connected cars, parking availability and restrictions, and US Census demographic data, INRIX created a scalable and customizable scoring system to analyze and visualize priority corridors for HAV deployment.
INRIX looked at one year’s worth of travel—nearly 1.3 billion trips—in and around the top 50 US cities by population and reported the findings is a new study: INRIX Autonomous Vehicles City Study 2017.
Toyota i-TRIL Concept Car; targeting SMESTOs
March 09, 2017
Toyota unveiled its i-TRIL concept car—a vision of mobility in 2030—at the Geneva Motor Show. Developed by Toyota Motors Europe (TME) in collaboration with the company’s ED² design studio in Nice, the new i-TRIL Concept showcases numerous innovative aspects of Toyota’s research into ever better and more engaging environmentally-friendly mobility solutions.
Making its world debut at the 2017 Geneva motor show, and featuring Active Lean technology, the new i-TRIL concept represents a proposed viable alternative to A and B segment cars, other EV products, public transport and motorcycles.
Honda Motor Europe: 2/3 of European sales to feature electrified powertrains by 2025; “Electric Vision”
March 07, 2017
Speaking at the 2017 Geneva Motor Show, Honda Motor Europe’s President and COO, Katsushi Inoue outlined Honda’s commitment to an electric future in Europe, with a specific aim to have electrified powertrains in two-thirds of Honda cars sold in Europe by 2025.
Honda’s focus on electrification in Europe will initially be driven by a roll-out of hybrid technology across its automobile range. The first new hybrid model, which will feature Honda’s two-motor hybrid system, will go on sale in 2018.
Volkswagen Group introduces first Group autonomous driving concept: Sedric
At the Geneva Motor Show, the Volkswagen Group is introducing Sedric (self-driving car)—an SAE Level 5 autonomous battery-electric vehicle concept. Sedric is the first concept car from the Volkswagen Group (as opposed to being a concept car developed by one of the Group brands). It was conceived, developed and built at the Volkswagen Group Future Center in Potsdam in collaboration with Volkswagen Group Research in Wolfsburg. Sedric demonstrates how a new integrated mobility system could function in future.
The Volkswagen Group is using Sedric to highlight the major importance of fully automated driving in the future strategy of the company.
Volkswagen Group launches Future Center Europe: focus on future mobility concepts
March 04, 2017
The Volkswagen Group has taken an additional important step to implementing its digitalization strategy with the launch of the Future Center Europe, located in Potsdam, Germany.
Volkswagen says that it intends to link the automotive and digital worlds in a way that benefits customers, society and the economy—and to promote the Volkswagen Group to become the leading mobility provider by 2025. The Future Center’s functions therefore go beyond standard product development.
Renault and Heudiasyc create shared research facility for perception and localization systems for autonomous vehicles
March 03, 2017
Renault and Heudiasyc (Heuristics and Diagnostics for Complex Systems), a joint research unit formed by UTC (Université de Technologie de Campiègne) and the CNRS, have created SIVALab, a laboratory specializing in localization and perception systems for autonomous vehicles. SIVALab (a French acronym for Integrated Systems for Autonomous Vehicles Lab) is based in Compiègne, north of Paris, France.
This scientific and technological partnership has been set up for an initial, extendable period of four years. It is founded on an existing association that began more than 10 years ago and will use the Renault ZOE-based autonomous vehicle platforms developed by Heudiasyc. SIVALab is being created to provide a structure geared to long-term scientific developments and major programs.
Toyota Research Institute displays Gen 2 autonomous test vehicle; machine vision and machine learning
The Toyota Research Institute (TRI) displayed its 2.0 generation advanced safety research vehicle at the company’s Prius Challenge event in Sonoma California. (Earlier post.)The all-new test vehicle will be used to explore a full range of autonomous driving capabilities.
The new advanced safety research vehicle is the first autonomous testing platform developed entirely by TRI, and reflects the rapid progress of its autonomous driving program, said TRI CEO Gill Pratt. The system is computationally rich and perception-rich, focusing heavily on machine vision and machine learning. The layered and overlapping LiDAR, radar and camera sensor array reduce the need to depend too heavily on high-definition maps—especially for near-term systems which will be designed for use in areas where such maps don’t yet exist.
Volkswagen names Infineon first partner under TRANSFORM 2025+ strategy
March 01, 2017
Germany-based semiconductor supplier Infineon is Volkswagen’s first partner under its TRANSFORM 2025+ strategy (earlier post). Under the new partnership, Volkswagen will further intensify its direct dialogue with Infineon in order to define the requirements for future semiconductor solutions and thus pursue new joint development approaches.
A modern automobile is equipped with as many as 100 networked electronic control units (ECUs) and thousands of electronic components. Powerful ECUs ensure outstanding driving comfort and safety. They operate and regulate everything from the air conditioning system to the interior and exterior lighting systems, the adaptive cruise control radar and a whole range of driver assistance systems. Thus, a significant part of all vehicle innovations is based on electronic systems.
DS introducing DS 7 CROSSBACK at Geneva show; PHEV model, autonomous driving features
February 28, 2017
DS Automobiles, the recent brand addition to the PSA Group, will introduce the DS 7 CROSSBACK SUV at the upcoming Geneva Motor Show. Powered by a 300 hp,four-wheel drive E-TENSE system, a plug-in hybrid version will be available from spring 2019.
Alongside the E-TENSE plug-in hybrid, DS 7 CROSSBACK will ultimately be available with a choice of five internal combustion engines compliant with the Euro 6.2 standard: three gasoline power units (THP 225 S&S EAT8, THP 180 S&S EAT8, PureTech (twice voted engine of the year in 2015 and 2016) 130 S&S 6-speed manual) and two diesel units (BlueHDi 130 S&S—with a choice of 6-speed manual or EAT8—and the BlueHDi 180 EAT8).
Honda forming new R&D operation for “new value” areas: robotics, mobility systems and energy management
Honda R&D Co., Ltd., the R&D subsidiary of Honda Motor Co., Ltd., plans to create “R&D Center X,” a new research and development operation within the company, which will assume responsibility for “new value” areas that include robotics technology, mobility system and energy management, etc. The official establishment of R&D Center X will take place in April.
Honda has decided that evolving digital technologies such as artificial intelligence and “big data” offer potential for value creation in a wider range of fields beyond its current field of businesses. To address this opportunity, Honda R&D Center X will take a “non-traditional” approach to assume responsibility for the research and development in “new value” areas.
Volvo Cars’ new XC60 SUV to feature automatic steering assistance for collision avoidance
Volvo Cars announced that the new XC60 SUV—to be revealed at the Geneva Motor Show next week—will feature new advanced driver assistance features that will provide the driver with automatic steering assistance or support—when required—to help avoid potential collisions.
Volvo Cars updated City Safety has been updated in the XC60 to include steering support, which engages when automatic braking alone would not help avoid a potential collision. In such circumstances, the car will provide steering assistance to avoid the obstacle ahead. City Safety helps to avoid collisions with vehicles, pedestrians and large animals. Steering support is active between 50-100 km/h (31-62 mph).
Renault-Nissan Alliance and Transdev to develop driverless vehicle fleet system for future public and on-demand transportation
February 27, 2017
The Renault-Nissan Alliance and Transdev have agreed to explore the joint development of mobility services with fleets of electric driverless vehicles for public and on-demand transportation. The companies will collaborate to develop a comprehensive, modular transportation system to enable clients to book rides, and mobility operators to monitor and operate self-driving car fleets.
The research will initially include field tests in Paris-Saclay with Renault ZOEs, the leading electric vehicle in Europe, and Transdev’s on-demand dispatch, supervision and routing platform.
Qualcomm and TomTom partner on crowdsourcing high-definition mapping data for autonomous driving
Qualcomm Technologies is working with TomTom on using the Qualcomm Drive Data Platform for high-definition (HD) map crowdsourcing, to accelerate the future of autonomous driving. Qualcomm Drive Data Platform intelligently collects and analyzes data from different vehicle sensors, supporting smarter vehicles to determine their location, monitor and learn driving patterns, perceive their surroundings and share this perception with the rest of the world reliably and accurately.
TomTom’s HD Map, including RoadDNA, is a highly accurate, digital map-based product, which assists automated vehicles to precisely locate themselves on the road and help determine which way to maneuver, even when traveling at high speeds.
Peugeot unveils autonomous plug-in hybrid INSTINCT Concept; Samsung ARTIK Cloud for IoT; Sentiance for data analysis
In Spain, in conjunction with the annual Mobile World Congress in Barcelona, Peugeot unveiled its INSTINCT plug-in hybrid concept, a Shooting Brake which offers the option of fully autonomous driving. However, the driver remains fully in control at all times and is able to determine whether he or she has a hands-on or autonomous drive.
The PHEV powertrain offers 300 PS, and the car features both ‘Drive’ and ‘Autonomous’ modes, affording the driver the choice between an engaging drive and the convenience of a fully autonomous vehicle. Peugeot INSTINCT is programmed with four distinct driving settings. In ‘Drive’ mode, drivers can opt for ‘Drive Boost’ or ‘Drive Relax’, and in ‘Autonomous’ mode they have the option of ‘Autonomous Soft’ or ‘Autonomous Sharp’.
Qualcomm and LG bringing 5G and Cellular-V2X communications into vehicles
February 23, 2017
Qualcomm Incorporated, through its subsidiary, Qualcomm Technologies, Inc., and LG Electronics (LG) announced coordinated efforts to facilitate testing and adoption of 5G and Cellular-V2X (C-V2X) communications into vehicles. Qualcomm Technologies and LG expect to showcase these next-generation wireless technologies through trials during the first half of 2018. This work builds on the long-established relationship between Qualcomm Technologies and LG since the two delivered their first telematics system in 2004.
On the path to 5G, LG is developing advanced automotive connectivity solutions based on Qualcomm Technologies’ connected car platform, which features support for Gigabit LTE speeds using the Qualcomm Snapdragon X16 LTE modem (earlier post), and is complemented by the QCA65x4 Wi-Fi 802.11ac solution. The connected car platform also supports 802.11p/DSRC and C-V2X, based upon 3rd Generation Partnership Project (3GPP) Release 14 specifications. (Earlier post.)
New ultrafast camera for self-driving vehicles and drones
February 17, 2017
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed an ultrafast high-contrast camera that could help self-driving cars and drones see better in extreme road conditions and in bad weather.
Unlike typical optical cameras, which can be blinded by bright light and unable to make out details in the dark, NTU’s new smart camera can record the slightest movements and objects in real time. The new camera records the changes in light intensity between scenes at nanosecond intervals, much faster than conventional video, and it stores the images in a data format that is many times smaller as well.
ARPA-E awards SwRI-led team up to $2.9M for connected and automated vehicle technology; NEXTCAR program
February 14, 2017
A team led by Southwest Research Institute (SwRI) has been awarded up to $2.9 million in funding to develop connected and automated vehicle (CAV) technologies aimed at improving fuel economy by more than 20%. The project is part of ARPA-E’s Next-Generation Energy Technologies for Connected and Autonomous On-Road Vehicles (NEXTCAR) program. (Earlier post.)s
The three-year project, “Model Predictive Control for Energy-Efficient Maneuvering of Connected and Automated Vehicles,” calls for the team to develop optimal control algorithms that leverage vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and other vehicle-to- everything (V2X) technologies to simultaneously optimize the vehicle’s route, speed profile, and power flows from the hybrid system.
Volkswagen and Mobileye partner on autonomous driving; REM in VWs in 2018
Volkswagen and Mobileye will implement a new navigation standard for autonomous driving starting in 2018. Future Volkswagen models will use the camera-based map and localization technology Road Experience Management (REM) from Mobileye. (Earlier post.)
REM uses crowd-sourcing (data from many cars – the swarm) to generate real-time data for precise localization and acquisition of high-definition track data. Volkswagen cars, which are equipped with front cameras, will acquire lane markings and road information via optical sensor systems from Mobileye; this information flows in compressed format into a cloud. This fleet data is used for continuous improvement of high-definition navigation maps with highly precise localization capability.
Ford investing $1B in startup Argo AI to advance autonomous driving to SAE Level 4; potential for licensing
February 10, 2017
Ford is investing $1 billion over the next five years in Argo AI—an artificial intelligence software startup founded by former Google and Uber leaders—to to develop an SAE Level 4 virtual driver system for the automaker’s autonomous vehicle coming in 2021 (earlier post), and for potential license to other companies.
Argo AI is bringing together some of the most experienced roboticists and engineers working in autonomy from inside and outside of Ford. The team of experts in robotics and artificial intelligence is led by Argo AI founders Bryan Salesky, Argo AI CEO, and Peter Rander, Argo AI COO. Both are alumni of Carnegie Mellon National Robotics Engineering Center and former leaders on the self-driving car teams of Google and Uber, respectively.
LeddarTech selects IDT to develop new LeddarCore IC for mass-market solid-state LiDARs; ADAS and autonomous driving
LeddarTech Inc. and Integrated Device Technology, Inc. (IDT) have entered into a partnership agreement jointly to develop and supply the LeddarCore LCA2 integrated circuits. (Earlier post.) The LeddarCore is a receiver IC which is a key element within an automotive LiDAR system. This newest generation of LeddarCore IC enables solid-state implementations of high-performance, low-cost automotive LiDARs, which are required for the mass-market deployment of semi-autonomous and autonomous vehicles.
As part of the agreement, IDT, a developer of complete mixed-signal solutions for automotive, communications, computing, consumer, and industrial markets, will leverage its advanced expertise for component requirements analysis, architecture, design, development, characterization, qualification and transfer to manufacturing of the LCA2.
EPFL cooperative maneuvering control algorithm for integrating automated vehicles with legacy traffic; dynamic platooning
January 31, 2017
Researchers at École Polytechnique Fédérale de Lausanne (EPFL), as part of the AutoNet2030 project, have developed a cooperative maneuvering control algorithm allowing automated vehicles to operate in traffic alongside manually-driven vehicles. This is a key step in the shift towards autonomous driving expected to be achieved by 2030.
AutoNet2030, co-funded by the EU under the FP7 framework, sought to develop and test a co-operative automated driving technology based on a decentralized decision-making strategy which is enabled by mutual information sharing among nearby vehicles. The project, which wrapped up at the end of last year, aimed for a 2020-2030 deployment time horizon, taking into account the expected preceding introduction of co-operative communication systems and sensor-based lane-keeping/cruise-control technologies.
OpenSynergy developing automotive safety hypervisor for ARM Cortex-R52
January 28, 2017
OpenSynergy, a developer of embedded automotive software for in-car cockpit solutions, is developing the industry’s first software hypervisor for the ARM Cortex-R52 processor, ARM’s most advanced real-time safety processor. The hypervisor turns any chip based on the Cortex-R52 into several virtual machines capable of simultaneously executing separate software tasks.
The hypervisor technology enables several real-time operating systems and AUTOSAR systems at different ASIL levels to run in parallel on the Cortex-R52.
Study finds wide spread of times for resuming control from highly automated vehicle in non-critical scenarios; challenges for designers
January 26, 2017
Many recent human factors studies of takeover time in automated vehicles have looked at how long it takes a driver to resume control of the vehicle in critical situations in which the driver has a relatively short time span to respond to the takeover request (TOR). However, there has been little investigation into more frequent scenarios for control transitions—such as exiting from a highway.
Now, in a new open-access study published in the journal Human Factors, University of Southampton Alexander Eriksson and Neville Stanton report that under noncritical conditions, drivers needed 1.9 to 25.7 seconds to resume control in a highly automated vehicle. The large range reflects a variety of driver behavior and environmental conditions. The challenge for designers thus becomes accommodating the full range of response times rather than limiting design parameters to mean or median transition times in the switch to and from automated and manual driving modes, the authors suggested.
KPMG Survey: execs say connected car generates 10x revenue than a conventional vehicle; market share based on units “outdated”; BEVs #1 trend
January 24, 2017
Advancements such as connectivity, big data, autonomous vehicles and artificial intelligence are driving new economic models for automakers, and most see tremendous revenue potential and consumer value in leveraging driver and vehicle data to offer mobility services, according to the 2017 KPMG Global Automotive Executive Study.
The KPMG research, which polled nearly 1,000 executives with the world’s leading automotive companies, found that 76% say one connected car generates more revenue streams than 10 conventional cars. In fact, expectations for data-driven revenue are so great that 71% say measuring OEM market share based on units sold is outdated.
New high-resolution time-to-digital converter from ams offers better object detection and avoidance for LiDAR
ams AG, a leading provider of high performance sensor solutions and analog ICs, has launched a new version of its market-leading time-to-digital converter (TDC) offering improved speed and precision together with low power consumption. The new TDC-GPX2 also features standard low-voltage differential signaling (LVDS) and serial peripheral (SPI) interfaces, and a new, smaller 9mm x 9mm QFN64 package.
TDCs from ams, which can measure short time intervals with great precision, are widely used in light detection and ranging (LIDAR) and laser-ranging devices, in positron emission tomography (PET) medical scanners, and in automated test equipment (ATE). The introduction of the TDC-GPX2 means that these applications can benefit from increased resolution up to 10ps and a new high sampling rate of up to 70 Msamples/s.
Alstom invests €14M in electric autonomous shuttle company EasyMile
Rail transport giant Alstom is investing €14 million (US$15 million), and thus taking a minority stake, in EasyMile, a start-up developing the EZ10 electric driverless shuttle. The investment forms part of the start-up’s ongoing capital increase. In parallel, Alstom and EasyMile have signed a commercial partnership agreement aiming at joining their forces to provide integrated solutions for urban transportation. Alstom will be present at EasyMile’s board.
The EZ10 provides shared driverless transportation for the last mile. EasyMile electrical shuttles operate from a transport hub to a final destination within a precinct or confined area. EasyMile shuttles transport up to 12 passengers. Since April 2015, the EZ10 has been deployed in more than 50 sites in 14 countries in Asia, North-America, Middle-East and Europe. Paris is one of the latest cities to begin an EasyMile trial.
Volkswagen Truck & Bus launches two truck platooning projects; Scania in Singapore, MAN and Schenker in Germany
January 23, 2017
Volkswagen Truck & Bus companies have launched two truck platooning pilot projects: one, with Scania in Singapore (earlier post), the other with MAN and Schenker DB in Germany. Platooning is system in which several trucks drive in a convoy with the support of advanced driver assistance and control systems. They are linked by an “electronic drawbar”. The driver of the first vehicle sets the speed and the direction. Each platoon truck has a driver on board who is able to intervene in an emergency.
In Singapore, in the world’s largest pilot project of this kind, Scania will be developing and testing a comprehensive platooning solution. Truck platoons each composed of four trucks will cover a distance of 10 kilometers (6.2 miles) on public roads to transport containers between various port terminals. The driver of the first truck will set the speed and direction, with the following three vehicles driving autonomously. This project has been commissioned by the Singapore port authority and the ministry of transport.
During the first phase of the project, Scania will be trialing the technology at its own test facility in Södertälje, Sweden, where it will be customizing it to meet local conditions. After this has been completed, the second phase will involve testing in Singapore.
MAN and logistics specialist DB Schenker are also forging a platooning partnership. This marks the first platooning alliance between an automotive manufacturer and a logistics company. Its purpose is to test platooning under realistic conditions over an extended period of time to gain meaningful data. For this purpose, a truck platoon is to travel on the A9 motorway between Munich and Nuremberg from 2018. In the ensuing step, the platoon is to be used at DB Schenker’s facility in Nuremberg.
Given the growing volume of traffic on public roads, there is a strong need for improved traffic flows. The advantages of platooning are obvious: thanks to the small distance of only 10-15 meters between the trucks, fuel savings of up 10% can be achieved. This also results in a substantial reduction in CO2 emissions. A further advantage is the lower risk of accidents.
The pilot projects are key components of more efficient transportation of goods on the road. Platooning is beneficial for the environment, improves the flow of traffic and increases road safety. What we now need is the legislative framework allowing us to introduce platooning on public roads.—Andreas Renschler, Member of the Board of Management of Volkswagen AG and Chief Executive Officer of Volkswagen Truck & Bus GmbH
The use of platooning in Europe will be technically possible from around 2020. However, implementation is contingent upon the legislative framework being duly modified in EU countries.| Comments (0)
Scania leading full-scale autonomous truck platoon project in Singapore; 4-truck convoys
January 11, 2017
Scania will design the world’s first full-scale autonomous truck platooning operations, based on its own advanced technology. The platoon will traffic public roads while transporting containers between port terminals in Singapore. The aim is to organize convoys of four trucks—with the following three trucks behind the lead truck autonomously driven, as well as to fully automate the processes for precise docking and undocking of cargo.
The multi-year project is organized by the Ministry of Transport and the Port of Singapore Authority (PSA Corporation). Toyota is also participating in this project.
Nissan unveils Vmotion 2.0 concept signaling future design, zero-emission and autonomous directions
January 10, 2017
At the 2017 North American International Auto Show, Nissan unveiled Vmotion 2.0, a new concept vehicle that signals the company’s future sedan design direction and Intelligent Mobility technology—Nissan’s roadmap to achieve zero emissions and zero fatalities. Nissan Vmotion 2.0 features Nissan Intelligent Driving, one of three core elements of Nissan Intelligent Mobility. Nissan Intelligent Driving helps provide a safe and comfortable driving experience through technology such as ProPILOT, which is envisioned to ultimately allow the vehicle to drive in autonomous mode—not just on the highway and in heavy traffic conditions – but also on urban roads with intersections.
Nissan Vmotion 2.0 is the evolution of the “V-motion” front design signature seen on many current Nissan products, such as the Murano mid-size crossover and Maxima 4-door sports car. Vmotion 2.0 takes the design a step further by forming an intelligent three-dimensional shape to create the volume and architecture of the vehicle. In this concept, the V-motion grille becomes the main fuselage, allowing for extremely sharp yet expressive surface language, accented by crisp character lines that resonate throughout the body.
VW unveils fully autonomous, electric Microbus I.D. Buzz concept at Detroit; all-wheel drive, 270-mile range
January 09, 2017
Volkswagen is presenting a fully autonomous, electric Microbus concept at the North American International Auto Show in Detroit. Like the compact I.D. presented at the Paris Motor Show last year (earlier post), the I.D. Buzz is built off the Modular Electric Drive kit (MEB). With two-motor, all-wheel drive, a fully autonomous driving mode (“I.D. Pilot”) and a new generation of display elements and controls, the concept conceptually follows the new Volkswagen brand strategy.
The all-wheel drive system has a total output of 369 hp (275 kW) and an NEDC electric driving range of 600 kilometers (270 miles on a predicted US. driving cycle). One electric motor at the front axle and one at the rear each deliver a power output of 201 hp (150 kW), distributed between the two axles by an electric propshaft. The I.D. BUZZ shown in Detroit can accelerate from 0 to 60 mph in about 5 seconds, with a governed top speed of 99 mph.
Koito and Quanergy collaborate to design automotive headlight concept with built–in solid-state LiDAR
January 07, 2017
Koito Manufacturing Co., Ltd., the largest global maker of automotive headlights, and Quanergy Systems, Inc., a leading provider of LiDAR sensors and smart sensing solutions, are collaborating to design an automotive headlight concept with built-in Quanergy S3 solid state LiDAR sensors (earlier post). The Koito headlight with built-in sensors is on display at CES 2017.
The Koito headlights, which will be located on the corners of a vehicle, each incorporates two compact Quanergy S3 solid state LiDARs that perform sensing forward and to the side, and provide real-time long-range 3D views of the environment around the vehicle and the ability to recognize and track objects.
Nissan CEO announces LEAF with ProPilot autonomy; other autonomous and connected technologies & partnerships
January 06, 2017
In his 2017 Consumer Electronics Show (CES) keynote, Nissan chairman of the board and chief executive officer Carlos Ghosn made five key announcements of several technologies and partnerships as part of the Nissan Intelligent Mobility blueprint for transforming how cars are driven, powered, and integrated into wider society.
Among these is the plan to launch a new Nissan LEAF, with ProPILOT technology (earlier post), enabling autonomous drive functionality for single-lane highway driving. Nissan introduced ProPilot on the new Serena in Japan last year. Employing advanced image-processing technology, ProPILOT understands road and traffic situations and executes precise steering enabling the vehicle to perform naturally.
Honda introduces “Cooperative Mobility Ecosystem” at CES 2017; Honda Riding Assist, NeuV concept w/ AI emotion engine
Honda unveiled its Cooperative Mobility Ecosystem concept at CES 2017 in Las Vegas, connecting artificial intelligence, robotics and big data to transform the mobility experience of the future. Featuring a number of prototype and concept technology demonstrations at CES, the Honda concept envisions a future in which vehicles will communicate with each other and infrastructure to mitigate traffic congestion and eliminate traffic fatalities, while increasing the productivity of road users and delivering new types of in-vehicle entertainment experiences. Vehicles will create new value by autonomously providing services when not in use by their owners.
Honda also announced collaborations with Visa, DreamWorks Animation and start-ups through the Honda Developer Studio and Honda Xcelerator open innovation programs based out of Honda Silicon Valley Lab. Further, as part of its effort to accelerate open innovation, Honda has established a new URL for areas including AI, Big Data and Robotics. Interested companies and individuals can access the following URL: http://www.honda.co.jp/openinnovation/.
Next-gen Audi A8 to feature MIB2+, series debut of zFAS domain controller, Mobileye image recognition with deep learning; Traffic Jam Pilot
January 05, 2017
Audi’s next-generation A8, premiering this year, will feature the first implementation of the MIB2+ (Modular Infotainment Platform). The key element in this new implementation of the MIB is NVIDIA’s Tegra K1 processor (earlier post), which makes new functions possible and has the computing power needed to support several high-resolution displays—including the second-generation Audi virtual cockpit. Onboard and online information will merge, making the car part of the cloud to a greater degree than ever.
The A8 also marks the series debut of the the central driver assistance controller (zFAS), which also features the K1; in the future, the X1 processor (earlier post) will be applied in this domain controller. The zFAS, developed in collaboration with TTTech, Mobileye, NVIDIA and Delphi, also integrates a Mobileye image processing chip. (Earlier post.)
Renesas Electronics and TTTech deliver highly automated driving platform
Renesas Electronics and TTTech Computertechnik AG, a global leader in robust networking and safety controls, have developed a highly automated driving platform (HADP). The new HADP is a prototype electronic control unit (ECU) for mass production vehicles with integrated software and tools, which demonstrates how to use Renesas and TTTech technologies combined in a true automotive environment for autonomous driving. The HADP accelerates the path to mass production for Tier 1s and OEMs.
The newly released HADP is the first outcome of the collaboration between TTTech and Renesas announced in January 2016 (earlier post), and is an extended version of the HAD solution kit released in October 2016. It is based on dual R-Car H3 system-on-chips (SoCs) (earlier post) and the RH850/P1H-C microcontroller (MCU).
Audi & NVIDIA partner to deliver fully automated driving with AI starting in 2020; piloted Q7 w/ neural network CES demo
Audi announced a partnership with NVIDIA to use artificial intelligence in delivering highly automated vehicles starting in 2020. Deep learning technology will enable skilled handling of real-road complexities, delivering safer automated vehicles earlier. The first phase of this expanded collaboration between the nearly decade-long partners focuses on NVIDIA DRIVE PX, which uses trained AI neural networks to understand the surrounding environment, and to determine a safe path forward. (Earlier post.)
Audi and NVIDIA have combined their engineering and visual computing technologies in the past on Audi innovations such as Audi MMI navigation and the Audi virtual cockpit. Later this year Audi will introduce the next-generation Audi A8 featuring Traffic Jam Pilot—the world’s first Level 3 automated vehicle (as defined by SAE International) equipped with a first-generation central driver assistance domain controller (zFAS) that integrates NVIDIA computing hardware and software. (Earlier post.)
BMW, Intel, Mobileye: 40 autonomous BMWs to be on road by 2H 2017; standards-based open platform for autonomy
BMW Group, Intel and Mobileye announced that a fleet of approximately 40 autonomous BMW vehicles will be on the roads by the second half of 2017, demonstrating the significant advancements made by the three companies towards fully autonomous driving. Revealing this at a podium discussion held during a joint press conference at CES, the companies further explained that the BMW 7 Series will employ advanced Intel and Mobileye technologies during global trials starting in the US and Europe.
In July 2016, BMW Group, Intel and Mobileye announced a collaboration to bring solutions for highly and fully automated driving into series production by 2021. The three said they would create a standards-based open platform—from door locks to the datacenter—for the next generation of cars. (Earlier post.) The companies have since developed a scalable architecture that can be adopted by other automotive developers and carmakers to pursue state of the art designs and create differentiated brands. The offerings scale from individual key integrated modules to a complete end-to-end solution providing a wide range of differentiated consumer experiences.
Renesas Electronics unveils RH850/V1R-M automotive radar solution for ADAS and autonomous driving vehicles
January 04, 2017
Advanced semiconductor supplier Renesas Electronics Corporation introduced the RH850/V1R—its first product from the new RH850-based, 32-bit, automotive radar microcontroller (MCU) series—that will deliver the high performance and features required for enabling future advanced driver assistance systems (ADAS) and autonomous driving vehicles. The RH850/V1R-M includes a digital signal processor (DSP) and high speed serial interfaces and is specifically designed for middle- to long-range radars.
Vehicles are being equipped with a broad spectrum of sensors such as cameras, LiDAR and ultrasonic sensors to support expanded advanced driver assistance (ADAS) and emerging autonomous driving functionality. Radar sensors are needed for ADAS applications—including advanced emergency braking and adaptive cruise control—because, unlike other sensors, radar sensors are not negatively affected by external environmental limitations which includes adverse weather conditions, such as rain, fog or whether the sun is shining or not.
Qualcomm introducing Drive Data platform for sensor fusion
Qualcomm is introducing the Qualcomm Drive Data Platform to collect and analyze intelligently information from a vehicle’s sensors. Cars will be able to determine their location up to lane-level accuracy, to monitor and to learn driving patterns, to perceive their surroundings, and to share this reliable and accurate data with the rest of the world.
These capabilities will be key for many connected car applications, from shared mobility and fleet management to 3D high-definition mapping and automated driving. Qualcomm Drive Data platform is built on three pillars: heterogeneous connectivity; precise positioning; and on-device machine learning, all integrated into the Qualcomm Snapdragon solution.
FCA unveils Chrysler Portal concept: next-gen family transportation for Millenials; electric, semi-autonomous, connected, flexible
January 03, 2017
FCA US unveiled the Chrysler Portal concept, an all-electric, semi-autonomous (SAE Level 3) interpretation of the “fifth generation” of family transportation focused toward the millennial generation. (Earlier post.)
Millennials—the demographic cohort following Generation X, and defined as people born between 1982 – 2001—are tech-savvy, environmentally aware and cost-conscious. To balance those needs and to be an integral part of millennials’ lives, the Chrysler designed the Portal concept to maximize interior space with an impressive degree of flexibility between seating and cargo configurations; to enable users to include and expand their social media communities with seamless wireless integration between the vehicle and mobile devices; to take advantage of advances in battery-electric powertrains and the growth of a rapid recharging network; and to deliver these capabilities in a powerful, high-tech form.
Intel to acquire 15% of HD-mapping company HERE; collaborating on technology for autonomous vehicles and IoT
Intel will purchase a 15% ownership stake in HERE, a global provider of high-definition digital maps and location-based services, from HERE’s current indirect shareholders: Audi AG, BMW AG and Daimler AG. The three automakers acquired HERE from Nokia in 2015 (earlier post) with the goal of securing the long-term availability of HERE’s products and services as an open, independent and value-creating platform for cloud-based maps and other mobility services accessible to all customers from the automotive industry and other sectors. The three automakers hold an equal stake in HERE.
In conjunction with Intel’s acquisition of a stake in HERE, the two companies also signed an agreement to collaborate on the research and development of a highly scalable proof-of-concept architecture that supports real-time updates of high definition (HD) maps for highly and fully automated driving.
Volvo Cars and Autoliv announce the launch of Zenuity JV for AD and ADAS; first ADAS products in 2019
Volvo Cars, and Autoliv signed a final agreement to establish a new joint venture called Zenuity to develop software for autonomous driving (AD) and driver assistance systems (ADAS), based on the letter of intent announced during fall 2016. (Earlier post.)
Both Volvo Cars and Autoliv will license and transfer the intellectual property for their ADAS systems to the joint venture. From this base, the company will develop new ADAS products and AD technologies. The new company is expected to have its first driver assistance products available for sale by 2019 with autonomous driving technologies following shortly thereafter.
MIT CSAIL, Cornell study finds rides-sharing theoretically could cut taxi traffic in NYC by 75%
A new modeling study by a team from MIT CSAIL (Computer Science and Artificial Intelligence Laboratory) and Cornell suggests that using ride-sharing from companies like Uber and Lyft theoretically could reduce the number of taxis on the road in New York City by 75% without significantly impacting travel time. A paper on their work will be published this week in Proceedings of the National Academy of Sciences (PNAS).
Led by Professor Daniela Rus of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the researchers developed a dynamic ride-sharing algorithm that found that 3,000 four-passenger cars could serve 98% of taxi demand in New York City, with an average wait-time of only 2.7 minutes. The team also found that 95 percent of demand would be covered by just 2,000 ten-person vehicles, compared to the nearly 14,000 taxis that currently operate in New York City.
Texas Automated Vehicle Proving Ground Partnership forms; applying for national designation
January 02, 2017
Cities and regions across Texas are partnering with the Texas A&M Transportation Institute (TTI), the University of Texas at Austin’s Center for Transportation Research (CTR), and Southwest Research Institute (SwRI) to form the Texas Automated Vehicle (AV) Proving Ground Partnership.
The partnership builds upon the momentum of the US Department of Transportation (USDOT) Smart City Challenge, in which Austin was a finalist, and is a direct outcome of the Texas Mobility Summit held 1–2 December 2016. The summit, hosted by the Texas Department of Transportation (TxDOT) Texas Technology Task Force, brought together nine teams representing 10 cities and three research institutions to galvanize key leadership in developing innovative solutions to the state’s mobility challenges. The teams are committed to continuing the collaboration, beginning with leveraging their collective resources, expertise and opportunities to advance AV technology.
Lucid Motors chooses Mobileye as partner for autonomous vehicle technology
December 30, 2016
Luxury EV developer Lucid Motors and Mobileye N.V. announced a collaboration to enable autonomous driving capability on Lucid vehicles. Lucid will launch its first car, the Lucid Air (earlier post), with a complete sensor set for autonomous driving from day one, including camera, radar and lidar sensors.
Lucid chose Mobileye to provide the primary compute platform, full 8-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localization capability, and reinforcement learning algorithms for Driving Policy. These technologies will enable a full Advanced Driver Assistance System (ADAS) suite at launch, and then enable a logical and safe transition to autonomous driving functionality through over-the-air software updates.
Infiniti’s QX50 Concept to debut in Detroit; potential application for VC-Turbo variable compression ratio engine; autonomous drive support
Infiniti will stage the world premiere of the QX50 Concept mid-size premium SUV at the 2017 North American International Auto Show in Detroit; the concept showcases the brand’s vision for a next-generation mid-size premium SUV and also demonstrates a potential application for Infiniti’s production-ready VC-Turbo variable compression ratio engine (earlier post).
Infiniti’s QX50 Concept also previews the brand’s roll out of its autonomous drive support technologies. Central to the strategy for the development of all future autonomous drive support systems is that they should ensure the driver retains ultimate control over the vehicle—in keeping with Infiniti’s focus on driver engagement—while providing a proactive approach to safety.
Rinspeed Oasis autonomous electric concept first to be built on ZF Intelligent Rolling Chassis
At CES 2017 in Las Vegas next week, Rinspeed will unveil its Oasis autonomous electric concept vehicle. The two-seat runabout—somewhat reminiscent of a modern interpretation of famous Star Wars icon R2D2—can turn on its wheels with almost a zero radius due to a special steering angle, two in-wheel electric motors and torque vectoring, all developed by ZF on Lake Constance.
The “Intelligent Rolling Chassis” (IRC) from ZF offers a highly flexible platform for urban electric vehicles and features ZF’s all-electric drive based on the electric twist beam (eTB) rear axle. The aluminum electric motors at the rear axle are integrated with a single speed transmission that enables the Oasis to accelerate to 100 km/h in roughly nine seconds and, if needed, up to a speed of 150 km/h (93 mph).
HERE and Mobileye to partner on crowd-sourced HD mapping for automated driving
December 29, 2016
High-definition (HD) mapping company HERE and Mobileye, developer of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving, plan to enter a strategic partnership that links their respective autonomous driving technologies into an enhanced industry-leading offering for automakers.
Under the partnership, Mobileye’s Roadbook—a detailed, cloud-based map of localized drivable paths and visual landmarks constantly updated in real-time—will be integrated as a data layer in HERE HD Live Map, HERE’s real-time cloud service for partially, highly and fully automated vehicles. Roadbook information will provide an important additional layer of real-time contextual awareness by gathering landmark and roadway information to assist in making a vehicle more aware of—and better able to react to—its surroundings, as well as to allow for more accurate vehicle positioning on the road.
Volvo Cars adds Microsoft’s Skype for Business to 90 Series; looking ahead to autonomous cars
Volvo Cars will introduce Skype for Business, Microsoft’s collaborative productivity app, to its new 90 Series cars. Volvo Cars is the first carmaker to launch such an in-car productivity tool.
Skype for Business is actively used by millions of people at work around the globe. In Volvo’s 90 Series cars people will be able to view their upcoming meetings and participant details, and join meetings with one click via the large center display.
Ford introducing next-gen Fusion Hybrid autonomous development vehicle at CES and NAIAS in January
December 28, 2016
Ford Motor Company is introducing its next-generation Fusion Hybrid autonomous development vehicle; the car will first appear at CES 2017 and the North American International Auto Show in January. The new vehicle uses the current Ford autonomous vehicle platform, but ups the processing power with new computer hardware.
Electrical controls are closer to production-ready, and adjustments to the sensor technology, including placement, allow the car to better see what’s around it. New LiDAR sensors have a sleeker design and more targeted field of vision, which enables the car to now use just two sensors rather than four, while still getting just as much data.
TriLumina to demo 256-pixel 3D solid-state LiDAR and ADAS systems for autonomous driving at CES 2017
December 27, 2016
At CES 2017, TriLumina (earlier post)—a spin-out from Sandia National Laboratories—will demonstrate, in collaboration with LeddarTech (earlier post), an innovative 256-pixel, 3D LiDAR solution for autonomous driving applications powered by TriLumina’s breakthrough laser illumination module and LeddarTech’s LeddarCore ICs.
TriLumina has developed eye-safe, vertical-cavity surface-emitting lasers (VCSELs). The TriLumina illumination modules replace the expensive, bulky scanning LiDARs being used in current autonomous vehicle demonstration programs with high resolution and long-range sensing in a small, robust and cost-effective package.
U of Waterloo Autonomoose autonomous vehicle on the road in Canada
December 23, 2016
Researchers from the University of Waterloo Center for Automotive Research (WatCAR) in Canada are modifying a Lincoln MKZ Hybrid to autonomous drive-by-wire operation. The research platform, dubbed “Autonomoose” is equipped with a full suite of radar, sonar, lidar, inertial and vision sensors; NVIDIA DRIVE PX 2 AI platform (earlier post) to run a complete autonomous driving system, integrating sensor fusion, path planning, and motion control software; and a custom autonomy software stack being developed at Waterloo as part of the research.
Recently, the Autonomoose autonomously drove a crew of Ontario Ministry of Transportation officials to the podium of a launch event to introduce the first car approved to hit the roads under the province’s automated vehicle pilot program.
Honda R&D and Alphabet’s Waymo enter discussions on technical collaboration on full autonomous vehicles
December 22, 2016
Honda R&D Co., Ltd., the R&D subsidiary of Honda Motor Co., Ltd., is entering into formal discussions with Waymo, an independent company of Alphabet Inc. (earlier post), to integrate its self-driving technology with Honda vehicles. This technical collaboration between Honda researchers and Waymo’s self-driving technology team would allow both companies to learn about the integration of Waymo’s fully self-driving sensors, software and computing platform into Honda vehicles.As part of the discussion on technical collaboration, Honda could initially provide Waymo with vehicles modified to accommodate Waymo’s self-driving technology. These vehicles would join Waymo’s existing fleet, which are currently being tested in four US cities. (Waymo will also receive 100 Chrysler Pacifica PHEV minivans from FCA built uniquely to support self-driving operation. (Earlier post.) Waymo CEO John Krafcik will have one of the autonomous PHEV minivans onstage for his keynote at NAIAS in January.)
MIT systems analysis identifies optimal vehicle platooning strategies
December 21, 2016
MIT engineers have studied a simple vehicle-platooning scenario and determined the best ways to deploy vehicles in order to save fuel and minimize delays. Their analysis, presented this week at the International Workshop on the Algorithmic Foundations of Robotics (WAFR 2016), shows that relatively simple, straightforward schedules may be the optimal approach for saving fuel and minimizing delays for autonomous vehicle fleets. The findings may also apply to conventional long-distance trucking and even ride-sharing services.
Platooning for heavy-duty trucks is on the cusp of market introduction. Peloton plans to bring its first platooning system to market in 2017, and ARPA-E is funding research into platooning technology as part of its NEXTCAR project. (Earlier post.)
FCA delivers 100 uniquely built Chrysler Pacifica PHEVs to Waymo for autonomous driving test fleet
December 19, 2016
Waymo (formerly the Google self-driving car project, earlier post) and FCA announced that production of 100 Chrysler Pacifica Hybrid minivans (earlier post) uniquely built to enable fully self-driving operations has been completed.
The plug-in hybrid (PHEV) vehicles are currently being outfitted with Waymo’s fully self-driving technology, including a purpose-built computer and a suite of sensors, telematics and other systems, and will join Waymo’s self-driving test fleet in early 2017. Waymo and FCA also revealed today the first images of the fully self-driving Chrysler Pacifica Hybrid vehicle.
LeddarTech showcasing 2D and 3D solid-state LiDARs for mass-market autonomous driving deployments; Leddar Ecosystem
December 16, 2016
At CES 2017, LeddarTech will be showcasing 2D and 3D high-resolution LiDAR solutions for autonomous driving applications based on its next-generation LeddarCore ICs and developed with the collaboration of leading-edge suppliers and partners from the newly-established Leddar Ecosystem. (Earlier post.)
Presented publicly for the first time, these systems demonstrate the scalability of Leddar technology and its ability to meet the high levels of performance, resolution, and cost-effectiveness required by Tier-1 and OEMs for mass-market autonomous driving applications. These LiDAR systems’ production versions will offer resolutions of up to 512×64 on a field of view of 120×20 degrees, and detection ranges that exceed 200 m for pedestrians and over 300 m for vehicles.
BMW Group and IBM collaborate on research on future driver assistance systems; IBM Watson IoT
December 15, 2016
IBM and BMW Group researchers are collaborating to explore the role of Watson cognitive computing in personalizing the driving experience and creating more intuitive driver support systems for cars of the future. As part of an agreement between the two companies, the BMW Group will collocate a team of researchers at IBM’s global headquarters for Watson Internet of Things (IoT) in Munich, Germany and the companies will work together explore how to improve intelligent assistant functions for drivers.
IBM recently pledged to invest US$200 million to make its new Munich center one of the world’s most advanced facilities for collaborative innovation as part of a global investment of US$3 billion to bring Watson cognitive computing to the Internet of Things.
Uber launches self-driving pilot in San Francisco with Volvo Cars
December 14, 2016
Uber is expanding its self-driving pilot to San Francisco, California, using specially-converted self-driving Volvo XC90 premium SUVs. This marks the next phase in a deepening alliance between Volvo and Uber after the two companies signed an agreement in August 2016 to establish a jointly-owned project to build base vehicles that can be used to develop fully autonomous driverless cars. (Earlier post.) These cars were initially tested in Pittsburgh, Pennsylvania.
The latest cars to be used in San Francisco have been built by Volvo and sold to Uber, after which Uber’s own self-driving hardware and software package has been added, most visibly in the roof-mounted control apparatus. Volvo Cars and Uber are contributing a combined US$300 million to the project. Both Uber and Volvo will use the same base vehicle for the next stage of their own autonomous car strategies.
Visteon’s Silicon Valley Technical Center to lead development of AI for autonomous vehicles
December 13, 2016
Visteon Corporation’s new technical center in Silicon Valley will lead the company’s development of artificial intelligence for autonomous vehicles. Visteon’s autonomous vehicle program will apply machine learning technology for accurately detecting and classifying objects in a vehicle’s path and planning the vehicle’s movements, resulting in fully trained driving control systems.
The recently opened facility in Santa Clara, California, will work closely with global Visteon tech centers to develop excellence in artificial intelligence software, advanced driver awareness systems (ADAS) and deep machine learning. These efforts will support Visteon’s approach to autonomous driving, which encompasses three key elements:
Velodyne LiDAR announces new design for miniaturized, low-cost solid-state LiDAR sensors using GaN technology
Velodyne LiDAR announced a new design for a solid-state LiDAR sensor that can deliver a subsystem cost of less than US$50 when sold in high-volume manufacturing scale. The technology will impact the proliferation of LiDAR sensors in multiple industry sectors, including autonomous vehicles, ridesharing, 3D mapping, and drones.
LiDAR sensors that leverage this new design will be less expensive, easier to integrate due to their smaller size, and more reliable as a result of fewer moving parts. The technology can also be integrated in Velodyne LiDAR’s existing Puck form factors.
Hyundai Motor accelerating development of its connected car operating system
December 09, 2016
Hyundai Motor is accelerating development of its advanced ccOS (connected car Operating System), the core platform technology for its future connected cars. The software will optimize the high-speed transmission and reception of data within the vehicle to support increasingly complex features that will lead the connected car market.
Hyundai outlined the development of ccOS in November, and has established an Infotainment Software Development Team in its Namyang Research and Development Center dedicated solely to developing ccOS technologies. In November, Hyundai said that ccOS would incorporate open source software including an open In-vehicle Infotainment (IVI) platform of the GENIVI Alliance.
Daimler joining MIT CSAIL Alliance Program for AI work; cognitive vehicles
December 07, 2016
Daimler is becoming a new member of the MIT CSAIL Alliance Program. MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. With 1,000 members and more than 100 principal investigators coming from eight departments, CSAIL includes approximately 50 research groups organized into three focus areas: artificial intelligence, systems and theory.
Key CSAIL initiatives currently underway include tackling the challenges of big data, developing new models for wireless and mobile systems, securing computers and the cloud against cyber attacks, rethinking the field of artificial intelligence, and developing the next generation of robots. CSAIL Alliances is a gateway into the lab for organizations seeking a closer connection to the work, researchers and students of CSAIL.
Audi sponsors AI conference NIPS 2016, demonstrates how car develops intelligent parking strategies
Audi is a sponsor this year of the annual Conference and Workshop on Neural Information Processing Systems (NIPS) and is showcasing its expertise at the conference on artificial intelligence for the first time. Throughout this week, the automaker is showing, with the aid of a 1:8 scale model—the “Audi Q2 deep learning concept”—how a car develops intelligent parking strategies. On an area measuring 3 x 3 meters, the Q2 autonomously searches for and finds a suitable parking space in the form of a metal frame, and then parks itself there.
Self-learning systems are a key technology for piloted-driving cars, and Audi has already built up a body of know-how in machine learning. The company is the only automaker represented at NIPS 2016 with its own stand and a showcase. (Although engineers from Daimler are presenting a demonstration at NIPS 2016 on the detection of obstacles by an autonomous car.)
Honda to show EV concept with AI emotion engine from joint project with Softbank
December 06, 2016
At CES 2017, Honda will showcase what it calls a future technology path toward a redefined mobility experience. The exhibit will include the NeuV, a concept automated EV commuter vehicle equipped with artificial intelligence (AI) called the “emotion engine” that creates new possibilities for human interaction and new value for customers.
The emotion engine is the focus of a joint research project with Softbank Corporation that Honda announced in July 2016 to apply the AI technology in mobility products. (Earlier post.) The “emotion engine” is a set of AI technologies developed by cocoro SB Corp., which enable machines artificially to generate their own emotions.
Nissan introduces driverless towing system at Oppama Plant using modified LEAF
December 05, 2016
Nissan Motor has introduced Intelligent Vehicle Towing (IVT), a fully automated vehicle towing system, at its Oppama Plant. The IVT system uses a modified Nissan LEAF autonomously to tow trollies carrying finished vehicles between designated loading and unloading points at the plant.
Unlike conventional automatic guided vehicle systems for transporting parts, which often require the installation of rails or extensive use of magnetic tape, this system does not need any special infrastructure to operate. This new project, which utilizes mapping and communication technologies to link an intelligent and all-electric car to infrastructure, is a step towards the realization of Nissan Intelligent Integration, a component of Nissan’s Intelligent Mobility vision.
BMW Group expands BMW i Ventures role with new €500M fund; widened scope of investment, greater independence
December 01, 2016
The BMW Group is expanding the remit of its BMW i Ventures venture capital unit and creating a new fund of up to €500 million (US$531 million) over ten years to support it. The new fund will allow BMW i Ventures to make investments in a wider range of areas, such as autonomous driving and digitalization, and to secure continued access to the technologies of the future.
BMW i Ventures’ previous focus on mobility services and electro-mobility will be expanded to cover the BMW Group’s full innovation spectrum in all areas of Strategy Number ONE > NEXT, even those outside of the traditional automotive value chain. Future topics for exploration will focus on “Enabling Technology and Digital Vehicle Technology”, “Mobility and Digital Services”, “Customer Experience” and “Advanced Production Technology”.
ORNL study finds even low penetration of CAVs delivers significant fuel economy benefits, but increases travel time slightly
A new study by a team at Oak Ridge National Laboratory (ORNL) suggests that low penetration rates of connected and automated vehicles (CAVs) can deliver significant fuel consumption benefits, but that the total travel time increases slightly. The study, presented presented at the 9th ACM SIGSPATIAL on Computational Transportation Science, also found that benefits in travel time increase with higher penetration rates of CAVs.
The study—one of the first that captures the impact of different penetration rates of CAVs on fuel consumption and travel time—builds off of earlier work done by the team of Jackeline Rios-Torres and Andreas Malikopoulos to develop an optimization framework and an analytical closed-form solution that addresses the problem of optimally coordinating connected and automated vehicles (CAVs) at merging roadways to achieve smooth traffic flow without stop-and-go driving. (Earlier post.)
Delphi & Mobileye to showcase Centralized Sensing Localization and Planning (CSLP) autonomous driving system in public demo at CES 2017
November 30, 2016
Delphi Automotive PLC and Mobileye will showcase their Centralized Sensing Localization and Planning (CSLP) automated driving system—which will be ready for production by 2019—on a 6.3-mile urban and highway combined public route in Las Vegas for CES 2017. (Earlier post.)
The partners said that CSLP is the first turnkey, fully integrated automated driving solution with an industry-leading perception system and computing platform. (Intel will provide the system-on-a-chip (SOC) for the systems.) The Las Vegas drive will tackle everyday driving challenges such as highway merges, congested city streets with pedestrians and cyclists and a tunnel.
Department of Transportation seeking proposals for automated vehicle proving grounds pilot
November 28, 2016
The US Department of Transportation (DOT) is requesting proposals from applicants (DOT-OST-2016-0233) to form an initial network of multiple proving grounds focused on the advancement of autonomous vehicle technology. The proving grounds will develop and share best practices around the safe testing, demonstration and deployment of autonomous vehicle technology.
The selected proving grounds will be designated “USDOT Automated Vehicle Proving Grounds.” DOT anticipates that the designation will encourage new levels of public safety while contributing to a foundation able to transform personal and commercial mobility and provide new opportunities to disadvantaged people and communities.
Volkswagen’s 10-year evolution of Park Assist; heading toward trained parking and higher levels of autonomy
November 26, 2016
Volkswagen first introduced a parking assistance system based on ultrasonic sensors in the early 1990s. However, it was the “Park Assist” Gen 1 system presented in the Touran in 2007 that marked a foundational point in the commercial development of the technology. After it was activated, Park Assist was able to detect parallel parking spaces on the left and right sides of the road as the car passed them using special, side-oriented ultrasonic sensors, enabling semi-automatic parking for the first time.
Volkswagen engineers have continued to enhance the functionality, leading to the release of Gen 3 Park Assist in 2014, with a clear roadmap to the deployment of higher levels of autonomy, including trained parking: fully automated parking with a one-off training process. At a recent visit to Volkswagen’s Ehra proving ground (Prüfgelände Ehra), Green Car Congress had the opportunity to see a prototype of trained parking in action.
Juniper Research: taxi sector to lead self-driving market to >22M consumer vehicles on the road by 2025
November 23, 2016
New findings from Juniper Research project that the annual production of self-driving cars will reach 14.5 million in 2025, up significantly from only a few thousands in 2020, resulting in a global installed base of more than 22 million consumer vehicles by 2025.
The new research, Autonomous Vehicles & ADAS: Adoption, Regulation & Business Models 2016-2025, found that the market adoption of AV (Autonomous Vehicle) technology is set to accelerate over the next few years, driven by increasingly stringent vehicle safety specifications; environmental pressures; and rapid technological developments.
nuTonomy to test its self-driving cars on specific public roads in Boston
November 21, 2016
nuTonomy, developer of software for self-driving cars, has signed a Memorandum of Understanding (MOU) with the City of Boston and the Massachusetts Department of Transportation that authorizes nuTonomy to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston.
nuTonomy will begin testing its self-driving Renault Zoe electric vehicle before the end of the year in the Raymond L. Flynn Marine Park in the Seaport section of the city. nuTonomy outfits its vehicles with a software system which has been integrated with high-performance sensing and computing components to enable safe operation without a driver. The company’s autonomous and robotics technology system grew out of research conducted in MIT labs run by nuTonomy co-founders Karl Iagnemma and Emilio Frazzoli.
U-Michigan, China enter two new automated and connected vehicle partnerships
November 17, 2016
The University of Michigan is entering two separate agreements with Chinese institutions targeting automated and connected vehicles. Together with a third new agreement focused on clean water, the three agreements add up to more than $54 million to advance research in these key areas.
First, a $27-million research agreement with Shenzhen-based investment firm Frontt Capital Management will advance autonomous, connected vehicles and robotic technologies. This agreement puts in place measures that U-M and Frontt agreed to in a memorandum of understanding signed last month in China. It establishes a Joint Research Center for Intelligent Vehicles at U-M. It contributes toward construction of the recently approved Robotics Laboratory and a vehicle garage on U-M’s North Campus near Mcity, the simulated urban-suburban environment for testing connected and automated vehicles.
Hyundai introduces new autonomous IONIQ concept at AutoMobility LA
November 16, 2016
Hyundai Motor Company introduced the Autonomous IONIQ concept during its press conference at AutoMobility LA (Los Angeles Auto Show). With a design resembling the rest of the IONIQ lineup (earlier post), the vehicle is one of the few self-driving cars in development to have a LiDAR system hidden in its front bumper instead of installed on the roof, enabling it to look like any other car on the road and not a high school science project.
Hyundai’s goal for the autonomous IONIQ concept was to keep the self-driving systems as simple as possible. This was accomplished by using the production car’s Smart Cruise Control’s forward-facing radar, Lane Keep Assist cameras and integrated them with LiDAR technology.
Mitsubishi unveils new electric compact SUV concept; 400 km range
Mitsubishi Motors North America, Inc. (MMNA) introduced the Mitsubishi eX Concept, a compact SUV with a next-generation EV system, at the 2016 Los Angeles Auto Show. The concept car is a showcase of Mitsubishi’s electric vehicle (EV) technologies, a new iteration of the Dynamic Shield front design concept, autonomous driving capabilities, Artificial Intelligence (AI) as well as a range of other technologies.
The system is configured with a new drive battery that greatly improves energy density of previous batteries and front and rear compact high-output motors. Together with the reduction in weight and higher efficiency of the new EV system, a non-compromising reduction in the weight of the body has given the Mitsubishi eX Concept a cruising range of 400 km (248.5 miles).
U-M offers open-access automated cars to advance driverless research
New University of Michigan research vehicles will be open testbeds for academic and industry researchers rapidly to test self-driving and connected vehicle technologies at a world-class proving ground. These open connected and automated research vehicles (CAVs) are equipped with sensors including radar, LiDAR and cameras, among other features. They will be able to link to a robot operating system. An open development platform for connected vehicle communications will be added later.
The open CAVs are based at Mcity, U-M’s simulated urban and suburban environment for testing automated and connected vehicles. While a handful of other institutions may offer similar research vehicles, U-M says that it is the only one that also operates a high-tech, real-world testing facility.
Intel to invest more than $250M over next two years in autonomous driving; “Data is the new oil”
November 15, 2016
In a keynote address at the AutoMobility LA conference, Intel CEO Brian Krzanich announced that Intel Capital is targeting more than $250 million of additional new investments over the next two years to make fully autonomous driving a reality. This is the first time Intel is keynoting at an automotive conference, signifying how critical the automotive market has become for the company.
These investments will drive the development of technologies that push the boundaries on next-generation connectivity, communication, context awareness, deep learning, security, safety and more. Drilling down into the areas that will be fueled by the fresh investments, Krzanich highlighted technologies that will drive global Internet of Things (IoT) innovation in transportation; areas where technology can directly mitigate risks while improving safety, mobility, and efficiency at a reduced cost; and companies that harness the value of the data to improve reliability of automated driving systems.
Ford working with Bloomberg Aspen Initiative on Cities and Autonomous Vehicles
Bloomberg Philanthropies and the Aspen Institute recently launched the Bloomberg Aspen Initiative on Cities and Autonomous Vehicles, a new program for leading global mayors who will work together to prepare their cities for the emergence of autonomous vehicles.
The intention of the initiative is to galvanize experts and data to accelerate cities’ planning efforts, and to produce a set of principles and tools that participating cities, as well as cities around the world, can use to chart their own paths forward. The inaugural cities in the initiative include Austin, Texas; Buenos Aires, Argentina; Los Angeles, California; Paris, France; and Nashville, Tennessee. Five additional cities will be announced later this year. At AutoMobility LA, Ford CEO Mark Fields announced that his company is working with Bloomberg in this initiative.
Rolls-Royce and VTT Technical Research Centre partner to develop remote and autonomous ships
November 14, 2016
Rolls-Royce and VTT Technical Research Centre of Finland Ltd have formed a strategic partnership to design, to test and to validate the first generation of remote and autonomous ships. The new partnership will combine and integrate the two companies’ unique expertise to make such vessels a commercial reality. (Earlier post.)
Rolls-Royce is pioneering the development of remote-controlled and autonomous ships and believes a remote-controlled ship will be in commercial use by the end of the decade. The company is applying technology, skills and experience from across its businesses to this development.
Volkswagen unveils updated Golf; Millerized engines, semi-automated driving, digital cockpit and gesture control
November 10, 2016
Volkswagen presented a major update of the Golf in an event at the Autostadt in Wolfsburg. In addition to some design enhancements, the new Golf features new engines (including the Millerized 1.5L EA211 introduced at the Vienna Motor Symposium in April, earlier post), new assistance systems and a new generation of infotainment systems. As a world-first in the compact class, the top-of-the-range “Discover Pro” infotainment system can be operated by gesture control.
With its 9.2-inch screen it forms a conceptual and visual entity with the Active Info Display (digital instrument panel), which is also new to the Golf. (earlier post) The updated Golf is also one of the first compact cars to be available with semi-automated driving functions—the new Traffic Jam Assist function can guide the Golf at speeds of up to 60 km/h (37 mph) in strenuous stop-and-go traffic. It steers, brakes and accelerates the new Golf.
Renesas Electronics delivers 2nd-gen ADAS view solution kit for surround view, electronic mirrors and driver monitoring for autonomous driving
November 08, 2016
Renesas Electronics Corporation has introduced a new all-in-one Advanced Driver Assistance Systems (ADAS) view solution kit. Expanding the success of the first-generation ADAS surround view kit that was launched in October 2015, Renesas’ second-generation ADAS view solution kit with up to eight cameras realizes next-generation electronic mirrors, driver monitoring and surround view systems at the same time.
It has become a standard in autonomous driving and ADAS applications to enable sensor fusion combining and processing the collected information from automotive cameras and radars for vehicles to recognize their surroundings. 360-degree surround view is expected to become an essential feature available in all vehicle segments. Additionally, mirrors will be replaced by cameras, and driver monitoring features will be required for autonomous driving and to increase safety.
Groupe Renault announces strategic partnership with computer vision innovator Chronocam
Groupe Renault has entered into a strategic development agreement with Chronocam SA (earlier post), a developer of biologically-inspired vision sensors and computer vision solutions for automotive applications. This agreement will focus on further developing and applying Chronocam’s innovative approach to sensing and processing visual inputs to Renault’s Advanced Driver Assistance Systems (ADAS) and autonomous driving developments.
Renault previously announced an investment in Chronocam’s Series B round of funding, which raised $15 million for the Paris-based start-up and includes a group of international venture capital funds including: Intel Capital, Robert Bosch Venture Capital, iBionext, 360 Capital and CEA investissement.
NXP and DAF Trucks commit to set new benchmark in truck platooning: 30x faster than human reaction time
NXP Semiconductors N.V. and DAF Trucks announced plans to empower truck platoons to react 30 times faster than humans in 2017, enabling a reduced distance between platooning trucks. Achieving this goal would mark a significant milestone in the introduction of platooning to fleet operators who expect considerable efficiency and safety gains while maintaining a maximum level of data security.
In Munich, NXP and its partners are showcasing the progress of secure intelligent transport systems in advance of this year’s electronica show. The demonstrations include platooning live on Munich roads, traffic signal and vehicle synchronization, and technology that protects vulnerable road users based on secure vehicle-to-everything technology (V2X). Platooning promises to increase fuel efficiency up to 10%, improve road safety and reduce exhaust emissions.
Toshiba advances deep learning with extremely low-power neuromorphic processor; supporting IoT edge devices
November 07, 2016
Toshiba has developed what it calls Time Domain Neural Network (TDNN)—a neural network using a time-domain analog and digital mixed signal processing technique—based on a new, extremely low-power consumption neuromorphic semiconductor circuit to perform processing for Deep Learning. (The acronym TDNN (time-delay neural network) is also used broadly to describe feed-forward neural networks, first described in a 1989 paper (Waibel et al.).
Deep learning—as could be applied, for example, in autonomous driving—requires massive numbers of calculations, typically executed on high performance processors that consume a lot of power. However, bringing the power of deep learning to IoT edge devices such as sensors and smart phones requires highly energy-efficient ICs that can perform the large number of required operations while consuming extremely little energy.
New Telit autonomous navigation IoT module relies on internal sensors to deliver class-leading dead reckoning accuracy
November 06, 2016
Telit announced commercial availability of the SL869-3DR, a GNSS (global navigation satellite system) module for global use which leverages information from internal gyros, accelerometers and a barometric pressure sensor to perform dead reckoning (DR) navigation for application areas such as track & trace and in-vehicle systems.
The module delivers accurate position data either directly from its multi-constellation receiver or from a fully autonomous DR system, requiring no connections to external devices or components other than an antenna for satellite signal reception and power. The module allows integrators to design zero-installation, in-vehicle navigation and tracking devices for fleets and other commercial or consumer applications that operate simply perched on the dashboard, connected only to vehicle power.
Ford developing new ADAS technologies for stress-free parking, collision avoidance, wrong-way driving alerts
November 04, 2016
Ford Motor Company is expanding its portfolio of driver-assist technologies with a range of next-generation features designed to ease parking hassles, improve collision avoidance, detect objects in the road and prevent wrong-way driving.
Cross-traffic alert with braking technology in development at Ford is being designed to help reduce parking stress by detecting people and objects about to pass behind the vehicle, providing a warning to the driver and then automatically braking if the driver does not respond. Rear wide-view camera, on the in-car display, will offer an alternative wide-angle view of the rear of the vehicle. Enhanced active park assist will parallel or perpendicular park at the push of a button.
ARPA-E awards $32M to 10 new projects to improve connected and automated vehicle efficiency
November 03, 2016
The Energy Department’s Advanced Research Projects Agency-Energy (ARPA-E) announced up to $32 million in funding for 10 innovative projects as part of the Next-Generation Energy Technologies for Connected and Autonomous On-Road Vehicles (NEXTCAR) program. (Earlier post.) With a goal of reducing individual vehicle energy usage by 20%, NEXTCAR projects will take advantage of the increasingly complex and connected systems in today’s—and tomorrow’s—cars and trucks to improve their energy efficiency.
Connected and automated vehicle (CAV) technology utilizes on-board or cloud-based sensors, data and computational capabilities to help a vehicle better process and react to its surrounding environment. This knowledge could include the location of stop signs and intersections, the actions of nearby vehicles, the location of congested areas, and much more. Currently, CAV technologies predominantly improve upon vehicle safety and add driving convenience. NEXTCAR projects will leverage these rapidly evolving technologies to greatly reduce vehicle energy use.
BlackBerry signs agreement with Ford for expanded use of BlackBerry’s QNX and security software
November 02, 2016
BlackBerry Limited has signed an agreement with Ford Motor Company for expanded use of BlackBerry’s QNX and security software. The deal signifies an acceleration in BlackBerry’s pivot from hardware to software in support of the automaker’s goal of providing connected vehicles and mobility to its customers.
As part of this agreement, BlackBerry will dedicate a team to work with Ford on expanding the use of BlackBerry’s QNX Neutrino Operating System, Certicom security technology, QNX hypervisor and QNX audio processing software. The terms of the deal are confidential.
Test deployment of new on-demand hub & shuttle mobility system at U Michigan; connected & automated vehicles & big data
November 01, 2016
A test deployment of a new hub-and-shuttle urban mobility system will take place on the University of Michigan’s North Campus. Its creators say the proposed system could deliver riders to their destinations in as little as half the time of the existing bus system at a lower cost, eventually using a fleet of autonomous shared vehicles. The limited test deployment would likely mark the world’s first on-the-ground implementation of such a system.
Called Reinventing Public Urban Transportation and Mobility (RITMO), the proposed system combines aspects of Uber-style ridesharing, fixed-route buses and light rail into the hub-and-shuttle system. It would combine high-frequency buses serving the busiest transportation hubs with a fleet of about 50 on-demand shared shuttles to get riders to and from those hubs.
Chronocam raises $15M in Series B; high-performance bio-inspired vision technology for autos and other machines
October 27, 2016
France-based Chronocam SA, a developer of biologically-inspired vision sensors and computer vision solutions for automotive, IoT and other applications requiring vision processing, raised $15 million in Series B financing. The funding comes from lead investor Intel Capital, along with iBionext, Robert Bosch Venture Capital GmbH, 360 Capital, CEAi and Renault Group.
Chronocam will use the investment to accelerate product development and commercialize its computer vision sensing and processing technology. The funding will also allow the company to expand into key markets, including the US and Asia.