[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.]
Beijing Foton launches “China Internet Super Truck Global Innovation Alliance”; Auman Energy Super Truck
June 23, 2016
Chinese truck and utility vehicle manufacturer Beijing Foton has launched the China Internet Super Truck Global Innovation Alliance and showcased the Auman EST (Energy Super Truck) at an event in Athens, Greece.
The Internet super truck project is a collaboration that brings together Foton Motor Group, Cummins, and Daimler AG and aims at building Internet-driven super trucks that are green, efficient, safe, and intelligent through the integration of global resources, the effective use of new energies, the establishment of vehicle networks, and the implementation of intelligent truck-loading technology.
Avoiding Obstacles Safely at High Speed: An Optimal Control Approach for Driving Heavy Autonomous Ground Vehicles Close to their Dynamic Limits
June 22, 2016
by Paul N. Blumberg, PhD
No one who follows automotive news and technology trends can be unaware of the intense research and experimentation taking place related to vehicles that drive themselves, i.e., “Autonomous Vehicles.” Among other potential benefits, these vehicles offer the promise of increased safety on the nation’s roadways and personal mobility to those who are not able or do not wish to drive themselves.
The Society of Automotive Engineers has already developed Standard J3016 which describes six different levels of “driving automation” increasing from Level 0 - No Automation, to Level 5 - Full Automation. At Level 0, a human driver performs all driving tasks, even if assisted by warning or other momentary intervention systems. At Level 5, a system comprising sensors, actuators and control algorithms performs all driving tasks such as steering, braking, acceleration and monitoring the vehicle and roadway under all modes of driving. At Level 5, a human driver is no longer necessary.
Lux Research: Toyota, Daimler, Honda leading auto OEMs for self-driving cars; innovative business models key
June 21, 2016
Although every major automotive company has announced plans for a car with self-driving capabilities, only five carmakers—Daimler, Honda, Hyundai, Toyota and Volvo—earn a positive take in Lux Research’s analysis of OEMs’ autonomous vehicle efforts.
In an emerging scenario of few significant technical differentiations and near-ubiquitous systems capabilities, Lux Research evaluated 12 carmakers and offered a “positive” rating based on three key criteria: demonstrated capability, investment and partnerships.
NVIDIA deep learning software platform gets trio of big updates
June 20, 2016
NVIDIA announced three major updates for its deep learning software platform. NVIDIA DIGITS 4 introduces a new object detection workflow, enabling data scientists to train deep neural networks to find faces, pedestrians, traffic signs, vehicles and other objects in a sea of images. This workflow enables advanced deep learning solutions—such as tracking objects from satellite imagery, security and surveillance, advanced driver assistance systems and medical diagnostic screening.
When training a deep neural network, researchers must repeatedly tune various parameters to get high accuracy out of a trained model. DIGITS 4 can automatically train neural networks across a range of tuning parameters, significantly reducing the time required to arrive at the most accurate solution.
VW Group strategy calls for >30 new BEVs by 2025 with annual EV sales of 2-3M units; mobility services
June 16, 2016
Volkswagen Group CEO Matthias Müller presented the company’s new new strategic plan—TOGETHER - Strategy 2025—in Wolfsburg. With regard to vehicles and drivetrains, the new strategy places special emphasis on e-mobility.
The Group is planning a broad-based initiative in this area: it intends to launch more than 30 purely battery-powered electric vehicles (BEVs) over the next ten years. The Company estimates that such vehicles could then account for around a quarter of the global passenger car market. The Volkswagen Group forecasts that its own BEV sales will be between two and three million units in 2025, equivalent to some 20 to 25 percent of the total unit sales expected at that time.
Local Motors debuts first self-driving vehicle using IBM Watson Internet of Things for Automotive
Local Motors, creator of the first 3D-printed cars (earlier post), introduced the first self-driving vehicle to integrate the advanced cognitive computing capabilities of IBM Watson. The vehicle, dubbed “Olli,” will be used on public roads locally in Washington DC, and late in 2016 in Miami-Dade County, Florida and Las Vegas, Nevada.
Olli was unveiled during the grand opening of a new Local Motors facility in National Harbor, MD and transported Local Motors CEO and co-founder John B. Rogers, Jr. along with vehicle designer Edgar Sarmiento from the Local Motors co-creation community into the new facility. The electric vehicle, which can carry up to 12 people, is equipped with IBM Watson Internet of Things (IoT) for Automotive to improve the passenger experience and allow natural interaction with the vehicle.
Renesas Electronics develops two-port on-chip SRAM for improved video processing for autonomous vehicles
Renesas Electronics has developed a new two-port on-chip Static Random Access Memory (SRAM) for use in system-on-chips (SoCs) for in-vehicle infotainment systems. The new on-chip SRAM will be used as video processing buffer memory in high-performance SoCs that will play an important role in making the autonomous-driving vehicles of the future safer and more reliable.
The new SRAM is optimized for parallel processing of video data and will enable advanced video data processing such as obstacle recognition utilizing real-time processing of high-resolution vehicle camera videos and augmented reality (AR) display on the windshield.
BMW Group introduces MINI and Rolls Royce centenary concepts; individual mobility based on megatrends and projections
To mark its centenary year in 2016, the BMW Group is looking further ahead than usual with a series of Vision Vehicles designed to anticipate and respond to future mobility needs. At its Munich Centenary Event on 7 March, the automaker introduced the BMW VISION NEXT 100. (Earlier post.)
BMW now has introduced two more Vision concepts: the MINI VISION NEXT 100 and the Rolls-Royce VISION NEXT 100. A fourth Vision Vehicle, by BMW Motorrad, will make its premiere on 16 October in Los Angeles, completing the BMW Group’s brand quartet of far-forward looking concepts.
Savari launches next-gen V2X solutions to accelerate adoption of safety apps in connected and self-driving cars
June 14, 2016
Savari Inc. announced its next generation of MobiWAVE On-Board Units (OBUs), StreetWAVE Road-Side Units (RSUs) and V2X middleware. These new solutions add to Savari’s experience in V2X communication technology and target automotive manufacturers, tier one suppliers and governments.
V2X communication technology is widely recognized throughout the industry as a ready-to-deploy option to bring advanced situational awareness to the driver through V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure) and V2P (vehicle-to-pedestrian) safety applications. V2X systems can operate independently or complement other connected vehicle technologies, and they offer the benefit of working in a non-line-of-sight environment with a 0.6 mi./1 km range. Savari’s V2X solutions are roadway proven, amassing more than 15 million miles and four hundred thousand hours of public safety pilot testing with the US Department of Transportation (DOT).
Bosch introducing Home zone park assist in 2019; trainable autonomous parking
June 07, 2016
Bosch’s newest autonomous parking technology, Home zone park assist, will make its North American market debut by 2019. With Home zone park assist, drivers will conveniently control the parking process by smartphone, even from outside the vehicle. The technology will guide the car, autonomously if needed, to parking spaces up to 100 meters away, where it then maneuvers the car into the space.
Home zone park assist is a partially automated function that still requires some monitoring by the driver. It was designed for repeated parking maneuvers—for example, at home or into an assigned parking garage space. The unique aspect about the technology is that Home zone park assist learns and saves individual driving maneuvers. Once it does so, it will perform them independently; all the driver has to do is press a button.
Valeo to offer new low-cost solid-state LiDAR; co-developed with LeddarTech; mass production in 2018
June 01, 2016
Tier 1 supplier Valeo is adding a new low-cost solid-state LiDAR, developed together with LeddarTech, a specialist in advanced detection and ranging solutions, to its portfolio for driving and parking assistance. The new sensor will be ready for mass production in 2018.
The Solid-state LiDAR will have no mechanical moving parts and will be the least expensive LiDAR sensor on the market, Valeo said. With a proprietary receiver ASIC with 16 discrete detection segments, the sensor will provide best in class sensing performance being able to detect pedestrians, bicycles, motorcycles or cars which are only partly in the same lane.
New Georgia Tech MPPI technique controls autonomous vehicles at edge of handling limits
May 24, 2016
Researchers from Georgia Tech’s Daniel Guggenheim School of Aerospace Engineering (AE) and the School of Interactive Computing (IC) have developed a new control technique for autonomous vehicles that can help keep a driverless vehicle under control as it maneuvers at the edge of its handling limits.
The Georgia Tech method—model predictive path integral control (MPPI) using covariance variable importance sampling—was developed specifically to address the non-linear dynamics involved in controlling a vehicle near its friction limits. The approach could help make self-driving cars of the future safer under hazardous road conditions. A paper covering this research was presented at the recent International Conference on Robotics and Automation (ICRA) in Stockholm, 16-21 May.
UMTRI: US driver preference for automation about the same as last year; most prefer retaining control
Despite greater coverage of driverless technology advancements the past couple of years, most Americans still prefer to drive themselves—at least partially, according to a new report by Brandon Schoettle and Michael Sivak of the U-M Transportation Research Institute (UMTRI). The new report is a follow-on to their study last year of motorists’ preferences for vehicle automation, including their overall concern about riding in self-driving cars.
Sivak and Schoettle found that 45.8% prefer to retain full control while driving, while 38.7% prefer a partially self-driving vehicle with occasional control by the driver. Just under 16% (15.5%) would rather ride in a completely self-driving vehicle.
Acura reveals Gen2 autonomous driving development vehicle
May 18, 2016
Acura revealed its second-generation autonomous driving development vehicle in California, a modified version of the RLX Sport Hybrid SH-AWD luxury performance sedan.
The RLX has been fitted with a new suite of radar, LiDAR, camera and GPS sensors, complemented by higher performance CPUs and GPUs, and improved cabling, heat management and circuitry. These enhancements have been combined with new, more intelligent software algorithms to support more complex testing scenarios.
Volkswagen takes stake in German Research Center for Artificial Intelligence (DFKI); autonomous driving and the digital factory
May 14, 2016
Volkswagen is taking a stake in the German Research Center for Artificial Intelligence (DFKI), the world’s largest non-profit scientific institution specializing in artificial intelligence (AI). By acquiring participating in DFKI, the Volkswagen Group is reinforcing its research activities in the field of future-oriented digital technologies.
In addition to research in artificial intelligence, DFKI specializes in the fields of robotics, Industry 4.0 and driver assistance systems. In a joint project, Volkswagen and DFKI have started further to develop the software framework ROCK (Robotics Construction Kit) to allow direct, close cooperation between human beings and robots. The system was presented in a near-production scenario at the Volkswagen AG IT Symposium 2016.
Audi A7 piloted driving concept “Jack” now driving more naturally
May 13, 2016
Audi’s latest version of its piloted driving research car, the Audi A7 concept “Jack,” has not only learned how to autonomously perform all of its driving maneuvers on the expressway, it has also learned how to show consideration for other road users. Jack exhibits a driving style that is adaptive to the given situation, safe and especially interactive, Audi says.
“Jack”—the internal nickname for the Audi A7 piloted driving concept technology platform now passes trucks with a slightly wider lateral gap. It also signals upcoming lane changes by activating the turn signal and moving closer to the lane marking first—just as human drivers would do to indicate their intentions.
Ford invests $182.2 million in cloud-based software development company Pivotal
May 05, 2016
Ford is investing $182.2 million in Pivotal, a cloud-based software platform company with which it already has partnered (earlier post) on FordPass (earlier post), to further enhance its software development capabilities. The investment was part of Pivotal’s $253-million Series C financing round; the round was led by new investor Ford, in conjunction with Microsoft and all previous investors GE, EMC and VMware. The deal is expected to close in May 2016, subject to customary conditions, including receipt of required regulatory approval.
Ford intends for the $182.2-million investment in Pivotal to help drive Ford’s transition to both an auto and a mobility company.
Google Self-Driving Car Project and FCA to integrate self-driving technology into 2017 Chrysler Pacifica Hybrid minivan
May 03, 2016
The Google Self-Driving Car Project and FCA announced will collaborate to integrate Google’s self-driving technology into all-new 2017 Chrysler Pacifica Hybrid minivans (earlier post) to expand Google’s existing self-driving test program. This marks the first time that Google has worked directly with an automaker to integrate its self-driving system, including its sensors and software, into a passenger vehicle.
Engineering responsibilities will be shared based on each company’s respective expertise. FCA will initially design and engineer around 100 vehicles uniquely built for Google’s self-driving technology. Google will integrate the suite of sensors and computers that the vehicles will rely on to navigate roads autonomously.
LeEco showcases autonomous EV concept LeSEE at Auto China 2016
April 28, 2016
China-based internet company LeEco unveiled its LeSEE electric car concept this week at Auto China 2016—The 14th Beijing International Automobile Exhibition. (Earlier post.) The LeSEE electric concept features an advanced autopilot and driver assistance systems, intelligent inductive charging and car sharing capabilities.
To increase driver safety and awareness, the front-end of the car features technology that detects pedestrians and vehicles while displaying information about the location of the potential hazards in a projection panel in the dashboard.
SwRI to showcase Ranger precision localization technology for automated driving; non-GPS system with 2cm precision
April 27, 2016
Southwest Research Institute (SwRI) will showcase its award-winning Ranger precision localization solution at the AUVSI XPONENTIAL 2016 conference and trade show in New Orleans 2-5 May.
Ranger is a patented approach to vehicle localization that enables precise navigation for automated vehicles using commercially available hardware in combination with SwRI algorithms. The latest Ranger kit can be used for automated driving, valet parking in garages and structures, freight distribution, and docking of buses and large trucks.
Self-driving mining truck stable at 90 km/h; clothoid-based model predictive control
April 15, 2016
A prototype self-driving truck under development by Scania and Swedish research universities has tested successfully at speeds of up to 90 km/h (56 mph). According to the research lead at KTH Royal Institute of Technology, the successful tests are aimed at implementing self-driving Scania trucks in mining operations within a year or two.
KTH, Scania, Linköping University, Saab and Autoliv and collaborating in a government-funded project called iQMatic, which is aimed at to develop a fully self-driving truck for difficult environments such as mines. With much greater mass and built-in inertia than passenger cars, such trucks present a greater challenge for autonomous driving.
European Transport Ministers sign Amsterdam Declaration on steps for development and harmonization of connected, autonomous driving in Europe
On 14 April, the transport ministers of all 28 EU member states signed the Amsterdam Declaration, laying down agreements on the steps necessary for the development of connected, autonomous driving technology in the EU. The signatories pledge to draw up rules and regulations that will allow autonomous vehicles to be used on the roads.
A lack of good cooperation between EU member states could give rise to a jumble of different rules, thereby preventing the large-scale availability of this new technology. Agreements also need to be made on issues such as liability, privacy, data security and the effects of self-driving vehicles on traffic and the road network.
GM sees connectivity, autonomy and transport-as-service fundamentally changing automotive industry
April 14, 2016
Three emerging and converging factors—connectivity, autonomy and transport-as-a-service—will fundamentally change the automotive industry over the next few decades, according to Mike Abelson, GM’s VP of Strategy and Global Portfolio Planning.
These three factors, said Abelson in a panel talk at the 2016 SAE World Congress in Detroit, are changing how the vehicle interacts with the environment; how the user interacts with the vehicle; and the entire business structure around it.
Velodyne LiDAR introduces 32-channel ULTRA Puck VLP-32A high definition real-time 3D LiDAR
April 13, 2016
Velodyne LiDAR introduced the ULTRA Puck VLP-32A, combining best-in-class 32-channel performance with a small form factor and the high reliability, at the the 2016 SAE World Congress in Detroit. The ULTRA Puck VLP-32A is the company’s most advanced LiDAR sensor to date, delivering high performance at a cost-effective price point of around $500 at automotive-scale production.
The ULTRA Puck doubles the range and resolution (via number of laser channels) of its predecessor to 200 meters and 32 channels, providing enhanced resolution to identify objects easily. The 32 channels in the ULTRA Puck are deployed over a vertical field of view of 28° and are configured in a unique pattern to provide improved resolution in the horizon to be even more useful for automotive applications. By contrast, the earlier unit used equidistant, 2˚ spacing of the channels.
RAND: Autonomous vehicles cannot be test-driven enough miles to demonstrate their safety; alternative testing methods needed
Autonomous vehicles would have to be driven hundreds of millions of miles and, under some scenarios, hundreds of billions of miles to create enough data to clearly demonstrate their safety, according to a new report from RAND, a non-profit research organization.
Under even the most-aggressive test driving assumptions, it would take existing fleets of autonomous vehicles tens and even hundreds of years to log sufficient miles to adequately assess the safety of the vehicles when compared to human-driven vehicles, according to the analysis.
Ford tests Fusion Hybrid autonomous research vehicles driving in complete darkness
April 11, 2016
As part of its LiDAR sensor development, Ford has tested Fusion Hybrid autonomous research vehicles in complete darkness without headlights on desert roads, demonstrating the capability to perform beyond the limits of human drivers.
Driving in pitch black at Ford Arizona Proving Ground marks the next step on the company’s efforts to delivering fully autonomous vehicles. The development shows that even without cameras, which rely on light, Ford’s LiDAR (units from Velodyne), working with the car’s virtual driver software, is robust enough to steer flawlessly around winding roads. While it’s ideal to have all three modes of sensors—radar, cameras and LiDAR—the latter can function independently on roads without stoplights.
Toyota Research Institute establishes 3rd US facility; AI, materials science and robotics research at U-M
April 08, 2016
Toyota will establish its third Toyota Research Institute (TRI) facility in the US. The new facility will be located in Ann Arbor, near the University of Michigan (U-M) campus where it will fund research in artificial intelligence, robotics and materials science. Joining the TRI facility established last January in Palo Alto working with Stanford (TRI-PAL), and in Cambridge working with MIT (TRI-CAM), TRI-ANN is scheduled to open in June.
Although the focus of each of the three strategically located facilities will be broad, each will feature a different core discipline. TRI-ANN will focus primarily on fully autonomous (chauffeured) driving. TRI-PAL will work on what may be termed “guardian angel” driving, where the driver is always engaged but the vehicle assists as needed. TRI-CAM will dedicate a large portion of its work to simulation and deep learning.
DENSO invests in semiconductor laser technology startup TriLumina; speeding up LiDAR adoption for ADAS, autonomous driving
DENSO International America, Inc. has invested in TriLumina Corp., a semiconductor laser technology company that focuses on providing light sources for LiDAR and interior illumination products. DENSO is looking to speed up the adoption of LiDAR and driver monitoring technologies in advanced driver assistance systems (ADAS) and in autonomous vehicles. This strategic investment will enable TriLumina to gain broader access to the automotive market. The laser technology company also received an investment last year from Caterpillar Ventures.
TriLumina has developed eye-safe semiconductor lasers that are among the most versatile laser illuminator solutions available in the market. TriLumina is hoping to accelerate the automotive industry’s adoption of semi-autonomous and autonomous vehicles by providing lasers for 100% solid-state LiDAR products and advanced driver monitoring systems (DMS).
Volvo Cars plans to launch large-scale autonomous driving experiment in China; 100 cars on public roads
April 07, 2016
Volvo Cars plans to launch a large-scale autonomous driving experiment in China in which local drivers will test autonomous driving (AD) cars on public roads in everyday driving conditions. Volvo expects the experiment to involve up to 100 cars; in coming months, the automaker will begin negotiations with interested cities in China to see which is able to provide the necessary permissions, regulations and infrastructure to allow the experiment to go ahead.
Volvo believes the introduction of AD technology promises to reduce car accidents as well as free up congested roads, reduce pollution and allow drivers to use their time in their cars more valuably.
EB software and Mapscape digital maps support WEpods autonomous electric shuttles
April 06, 2016
Elektrobit (EB), a leading developer of embedded technology solutions for the automotive industry, and Netherlands-based digital map provider Mapscape, are contributing to WEpods—completely autonomous electric shuttle buses that will use public roads.
EB and Mapscape together provide an enhanced electronic horizon solution for assisting in motion prediction and path planning of the autonomous shuttle bus. Mapscape provides an NDS (Navigation Data Standard) map database with comprehensive road geometry data that provides more detailed information for objects and pinpoint locations than standard map information.
NVIDIA DRIVE PX 2 platform to power world’s first robotic motor sports competition
At CES 2016 in January, NVIDIA introduced NVIDIA DRIVE PX 2—its new generation high-performance computing platform for in-vehicle artificial intelligence applied to the complexities inherent in autonomous driving. (Earlier post.) This week, at NVIDIA’s GPU Technology Conference, the company announced that the DRIVE PX 2 platform will be used in the cars that will compete in the Roborace Championship, the first global autonomous motor sports competition.
DRIVE PX 2—which delivers processing power equivalent to 150 MacBook Pros—uses two next-generation Tegra processors plus two next-generation discrete GPUs, based on the Pascal architecture (earlier post), to deliver up to 24 trillion deep learning operations per second. Deep learning operations are specialized instructions that accelerate the math used in deep learning network inference. That’s more than 10 times the computational horsepower than NVIDIA’s previous-generation DRIVE PX.
2017 Ford Fusion offers adaptive cruise control with automatic stop-and-go technology
April 05, 2016
The 2017 Ford Features offers a new stop-and-go technology—piggybacking on the existing adaptive cruise control feature—which automatically accelerates and brakes for the driver while maintaining a safe distance from the vehicle ahead.
Using dedicated steering wheel buttons, adaptive cruise control with stop-and-go allows drivers to set cruise control speed and following distance from the vehicle ahead. The semi-autonomous technology can automatically adjust the set speed for comfortable travel—much like a human driver would—bringing the car to a full stop when traffic halts.
Hyundai Motor Group outlines roadmap for connected car development
Hyundai Motor Group has outlined its roadmap for connected car development. The Group will collaborate with leading global IT and networking companies to develop its “Hyper-connected and Intelligent Car” concept.
The roadmap outlines four main service fields that will help develop smarter, more intelligent cars that can receive and utilize data faster than before. The mid- to long- term development focus includes a range of key features, including: smart remote maintenance services; autonomous driving; Smart Traffic; and a connected Mobility Hub that provides security and data management for all elements of the connected car.
Six automated truck platoons to compete in European Truck Platooning Challenge
March 25, 2016
At the end of this month, six automated truck platoons—representing 6 different truck OEMs and their partners—will leave several European cities of origin and drive along public roads, targeting arrival at the APM Terminals, Maasvlakte II, Rotterdam on 6 April. This European Truck Platooning Challenge represents large-scale testing of cross-border automated truck-platooning; its aim is to bring platooning one step closer to implementation.
Truck Platooning involves trucks driving a short distance apart using automated driving technology; platooning offers benefits in terms of fuel consumption and CO2 emissions, safety and the flow of traffic. The Truck Platooning Challenge will demonstrate that a second vehicle is technically capable of automatically following the combination ahead using wireless communications, radar and cameras.
ABI Research: 6 transformative paradigms driving toward smart, sustainable automotive transportation
ABI Research has defined six transformative paradigms for the automotive industry over the next 25 years: the software-defined car; sensors and big data; the connected car; cooperative mobility and the IoT; electrification; and car sharing/driverless cars. While the first three phases are already underway, the latter three will start to drive the market forward within the next 10 years, according to the market research firm.
Car manufacturers are currently revamping vehicles’ electronics and networking architecture to ensure every sub-system is connected and software-defined. Moving toward the next decade, the automotive industry will achieve cooperative mobility. Cars will communicate with not only each other but also infrastructures and environments. Electrification will then change the way consumers power their vehicles. And, lastly, car sharing and driverless cars will likely lead to market consolidation.
CMU study shows autonomous vehicle algorithms can have considerable effect on fuel economy; need for new approaches in testing
March 24, 2016
Autonomous vehicle driving behavior can have a considerable effect on fuel economy. Researchers in the College of Engineering at Carnegie Mellon University have determined that fuel efficiency for self-driving cars—within the bounds of current fuel economy testing—could improve by up to 10% under efficiency-focused control strategies when following another vehicle.
However, the study also showed that autonomous vehicle (AV) technology following algorithms designed without considering efficiency can degrade fuel economy by up to 3%. In a paper published in the journal Transportation Research Part C: Emerging Technologies, Assistant Professor of Civil & Environmental Engineering Constantine Samaras and Ph.D. student Avi Chaim Mersky suggest the need for a new near-term approach in fuel economy testing to account for connected and autonomous vehicles.
Daimler demonstrates autonomous truck platooning; Highway Pilot Connect delivers ~7% lower fuel consumption
March 22, 2016
Daimler Trucks demonstrated the new Highway Pilot Connect system for autonomous truck platooning on the A52 autobahn near Düsseldorf. Three WiFi-connected, autonomously driving trucks operated on the autobahn with authorization for public traffic in a platoon formation.
Such a combination can reduce fuel consumption by up to 7% and the road space requirement on motorways by almost half, while improving traffic safety at the same time, Daimler said. Based on the Daimler Trucks Highway Pilot system for autonomously driving heavy trucks (earlier post), the three trucks link up to form an aerodynamically optimized, fully automated platoon.
Toyota and Lexus making automated braking standard on nearly every model and trim level by end of 2017; 4 years ahead of NHTSA/IIHS target
March 21, 2016
Toyota will begin to include the and Lexus Safety System+ and Toyota Safety Sense packages, anchored by automatic emergency braking (AEB), on almost every new vehicle by the end of 2017—four years before the National Highway Traffic Safety Administration (NHTSA) and Insurance Institute for Highway Safety (IIHS) 2022 target. (Earlier post.) Jim Lentz, CEO of Toyota Motor North America. made the announcement at the New York Auto Show.
Already available as a low-cost option on a broad range of Lexus and Toyota vehicles, Lexus Safety System+ and Toyota Safety Sense are designed to help address three key areas of driver assistance: preventing or mitigating frontal collisions – including pedestrians; helping keep drivers within their lane; and enhancing road safety during nighttime driving. Technologies include Toyota’s Pre-Collision System, Lane Departure Alert, and Automatic High Beams.
20 automakers commit to make automatic emergency braking standard on new vehicles no later than 2022; faster than regulatory process
March 17, 2016
The US Department of Transportation’s National Highway Traffic Safety Administration (NHTSA) and the Insurance Institute for Highway Safety (IIHS) announced the commitment by 20 automakers representing more than 99% of the US. auto market to make automatic emergency braking (AEB) a standard feature on virtually all new cars in the US no later than NHTSA’s 2022 reporting year, which begins 1 Sept 2022.
Automakers making the commitment are Audi; BMW; FCA US LLC; Ford; General Motors; Honda; Hyundai; Jaguar Land Rover; Kia; Maserati; Mazda; Mercedes-Benz; Mitsubishi Motors; Nissan; Porsche; Subaru; Tesla Motors; Toyota; Volkswagen; and Volvo Car USA. The unprecedented commitment means that this important safety technology will be available to more consumers more quickly than would be possible through the regulatory process.
BMW rolls out new strategy, focusing on further advances in e-mobility and automated driving; Project i 2.0
March 16, 2016
BMW has revealed initial details of its new strategy, “Strategy NUMBER ONE > NEXT”. The BMW Group sees digitalization as an opportunity to make mobile life simpler, safer and more convenient, thereby capturing new customer groups. In the coming years, the Group will focus on broadening its technological expertise, expanding the scope of digital connectivity between people, vehicles and services and actively strengthening sustainable mobility.
BMW’s technology focus will therefore be on consistently achieving further advances in the fields of electric mobility and automated driving. Under the banner of BMW iNEXT, the BMW Group will bring new forms of automated driving and digital connectivity together with a new generation of electric mobility, lightweight construction and interior design. BMW said that it would usher in the next decade with a new BMW i model.
GM to acquire Cruise Automation to accelerate autonomous vehicle development
March 11, 2016
General Motors is acquiring three-year-old start-up Cruise Automation to add Cruise’s deep software talent and rapid development capability to further accelerate GM’s development of autonomous vehicle technology. Fortune reported from an unidentified source “close to the situation” that the deal is valued at “north of $1 billion.”
The acquisition of Cruise is GM’s latest step toward its goal of redefining the future of personal mobility. Since the beginning of the year, GM has entered into a strategic alliance with ride-sharing company Lyft (earlier post); formed Maven, its personal mobility brand for car-sharing fleets in many US cities (earlier post), and established a separate unit for autonomous vehicle development (earlier post).
2nd Audi Autonomous Driving Cup
March 10, 2016
Audi Electronic Venture GmbH (AEV), a fully owned Audi subsidiary, is holding the second Audi Autonomous Driving Cup from 22-24 March 2016. Eight university teams will take part in the competition at the Audi museum mobile in Ingolstadt. The 1:8 scale automated-drive Audi Q5 models will face a challenging circuit, with prize money of €10,000 awaiting the winners.
Taking basic software supplied by Audi as the starting point, the teams have created their own software architecture to process the sensor data, interpret situations correctly and control the car accordingly. The aim is that the electric-drive model car should negotiate the circuit automatically as fast as possible, with a minimum of faults.
Mercedes-Benz launches new E-Class; new engines, PHEV, driver assistance systems; DRIVE PILOT
March 09, 2016
Mercedes-Benz has launched the new tenth-generation E-Class, introduced at the North American International Auto Show (NAIAS) this January. (Earlier post.) The new generation features technology innovations in a number of areas, including driver assistance and powertrains, with new efficient engines and a plug-in hybrid version.
Initially, the E 200 d models of the new E-Class will be available with an all-new four-cylinder OM 654 diesel engine (earlier post), while the E 200 will be powered by a four-cylinder gasoline engine and the E 350 d by a six-cylinder diesel.
BMW Group developing self-driving robots for supply logistics; recycled BMW i3 batteries for power
March 06, 2016
BMW is developing and testing a self-driving robot at the BMW Group’s Innovation Park in Wackersdorf. This center is the logistics hub for material management and just-in-sequence supply to BMW Group sites in ten different countries. Wackersdorf is also home to the cockpit production for several plants.
The self-driving robot maneuvers underneath roller containers with parts, picks them up and moves them through the logistics hall. Flanked by radio transmitters and equipped with a digital map, it drives independently to the destination of the goods.
Continental acquires Hi-Res 3D Flash LIDAR business from ASC; highly or fully automated driving
March 03, 2016
International automotive supplier Continental has acquired the Hi-Res 3D Flash LIDAR business from Advanced Scientific Concepts, Inc. (ASC) based in Santa Barbara, California. The technology will further enhance the company’s Advanced Driver Assistance Systems (ADAS) product portfolio with a future-orientated solution to add to the group of surrounding sensors needed to achieve highly and fully automated driving.
The Hi-Res 3D Flash LIDAR sensor technology provides both real-time machine vision as well as environmental mapping functions. This technology will help to enable a significantly more detailed and accurate field of vision around the entire vehicle, independent of day or night time and robust in adverse weather conditions.
Nissan’s Intelligent Mobility vision builds on electrification, autonomous drive and vehicle intelligence
March 01, 2016
Nissan outlined its Intelligent Mobility vision at the Geneva International Motor Show. Created to guide the Nissan product evolution, Intelligent Mobility will anchor company decisions around how cars are powered, how cars are driven, and how cars integrate into society, all while staying focused on creating more enjoyable driving experiences.
At the core of Nissan Intelligent Mobility are three areas of innovation: Nissan Intelligent Driving, spearheaded by Nissan’s autonomous drive technology, Piloted Drive; Nissan Intelligent Power, spearheaded by electric vehicles (EV); and Nissan Intelligent Integration—new links between vehicles and society.
J.D. Power study finds ACEN technology woes affecting vehicle reliability for consumers
February 26, 2016
Problems with technology continue to affect vehicle reliability for consumers, according to the J.D. Power 2016 US Vehicle Dependability Study (VDS). The number of problems with infotainment, navigation and in-vehicle communication systems—collectively known as audio, communication, entertainment and navigation or ACEN—has increased and now accounts for 20% of all customer-reported problems in the study.
ACEN is now the most problematic area on most vehicles and is the cause of the industry’s 3% year-over-year decline in vehicle dependability. Key findings of the study included:
Volvo introducing Pilot Assist II semi-autonomous drive tech as standard on MY2017 XC90
Among a wide range of updates for model year 2017, Volvo Cars will introduce its latest semi-autonomous drive technology, Pilot Assist II, as standard on the XC90 in selected markets.
Introduced first in the new S90 premium sedan, Pilot Assist II adds steering assistance to Adaptive Cruise Control functionality. When the semi-autonomous Pilot Assist system is activated, acceleration, braking and steering are assisted in order to help the driver comfortably follow the traffic flow within the current lane in well-marked highway conditions.
Study finds autonomous vehicles may plausibly nearly double, or nearly halve, road transport GHGs depending on the scenario
A study by a team from the University of Leeds (UK), University of Washington (USA) and Oak Ridge National Laboratory has found that vehicle automation might plausibly reduce road transport GHG emissions and energy use by nearly half—or nearly double them—depending on the scenario.
The researchers also found that many potential energy-reduction benefits may be realized through partial automation, while the major energy/emission downside risks appear more likely at full automation. In a paper describing the study published in the journal Transportation Research Part A, the authors also presented implications for policymakers and identify priority areas for further research.
New algorithm improves speed and accuracy of pedestrian detection; cascade detection + deep learning
February 08, 2016
Researchers at the University of California, San Diego have developed a pedestrian detection system that performs in near real-time (2-4 frames per second) and with higher accuracy (close to half the error) compared to existing systems. The technology, which incorporates deep learning models, could be used in “smart” vehicles, robotics and image and video search systems.
The new pedestrian detection algorithm developed by Nuno Vasconcelos, electrical engineering professor at the UC San Diego Jacobs School of Engineering, and his team combines a traditional computer vision classification architecture—cascade detection—with deep learning models.
Renesas Electronics and TTTech collaborate on new ADAS-ECU development platform with high computing performance and advanced functional safety
Renesas Electronics Corporation and TTTech Computertechnik AG, a global leader in robust networking and safety controls, have agreed to collaborate on the development of a new automotive platform solution aimed at providing a future-proof, high-performance advanced electronic control unit (ECU) development platform for advanced driver assistance systems (ADAS) and automated driving functionality.
The automotive platform solution will integrate Renesas’ automotive control microcontroller (MCU), the RH850/P1x, and high-performance R-Car system-on-chips (SoCs) with TTTech’s TTIntegration, a software platform, to enable highly complex automotive solutions including highly automated driving. Additionally to the physical integration, the development platform achieves parallel, multi-vendor development and integration of individual software components.
Renesas camera video processing circuit block with low latency, high performance, and low power consumption for SOC for autonomous driving
At the International Solid-State Circuits Conference (ISSCC) held in San Francisco earlier this month, Renesas Electronics announced the development of a new video processing circuit block for use in automotive computing system-on-chips (SoCs) that will support autonomous vehicles.
The newly developed video processing circuit block will realize automotive computing systems integrating vehicle information systems and driving safety support systems by enabling massive video processing without imposing any additional load on the CPU and GPU, with real-time performance, low power consumption, and low delay. Renesas intends to incorporate the new video processing circuit block into its future automotive computing SoCs to contribute to a safer and more convenient driving experience.
Jaguar Land Rover in two UK projects worth ~$16M to advance connected and autonomous vehicle technology
February 01, 2016
Jaguar Land Rover is participating in two new projects in the UK worth a combined £11 million (US$15.7 million) to advance connected and autonomous vehicle technology. The £5.5-million (US$7.9-million) UK-CITE (UK Connected Intelligent Transport Environment) project will create the first test route capable of testing both vehicle-to-vehicle and vehicle-to-infrastructure systems on public roads in the UK.
The three year £5.5-million MOVE-UK project, which is led by Bosch, is intended to help future autonomous vehicles drive naturally—more like human drivers rather than like robots. The project will also help develop future insurance policies for automated vehicles
GM creates dedicated team to drive autonomous and advanced technology vehicle development
January 29, 2016
Effective 1 February, GM is creating a combined, dedicated Autonomous and Technology Vehicle Development Team. This team is tasked with accelerating the company’s technical capabilities and create the future direction of GM vehicle programs in the autonomous and “technologically advanced” vehicle space.
Doug Parks, currently vice president, Global Product Programs, is now Vice President, Autonomous Technology and Vehicle Execution. He will lead the team responsible for creating and executing autonomously driven vehicles in addition to advanced technology vehicle programs.
New QNX software platform enables ADAS and automated driving
January 23, 2016
QNX Software Systems Limited, a subsidiary of BlackBerry Limited, earlier this month introduced the QNX Platform for ADAS (advanced driver assistance systems), expanding its portfolio of automotive software products. The QNX Platform for ADAS is scheduled for general release in Q2 2016.
Designed for scalability, the platform will enable automotive companies to build a full range of automated driving systems, from informational ADAS modules that provide a 360° surround view of the vehicle, to sensor fusion systems that combine data from multiple sources such as cameras and radar, to high-performance processors that make control decisions in fully autonomous vehicles.
Bosch beginning autonomous driving testing in Japan; 3rd engineering location after Germany and the US
January 22, 2016
Bosch has begun on-road testing of autonomous driving in Japan, its third location for the development work after Germany and the US. Bosch’s initial goal is the development of the highway pilot, which will allow cars to drive autonomously on freeways and freeway-like roads starting in 2020.
Worldwide, nearly 2,500 Bosch engineers are working to develop driver assistance systems and automated driving further. Like their colleagues in Germany and the US, the team in Japan is already conducting tests with automated test vehicles on public roads. The test drives are being conducted on expressways around the cities of Tohoku and Tomei in the Tochigi and Kanagawa prefectures, as well as on the two Bosch proving grounds in Shiobara and Memanbetsu.
Obama Administration proposes $4B to accelerate development and adoption of autonomous vehicles; policy update
January 15, 2016
US Transportation Secretary Anthony Foxx announced a proposed 10-year, nearly $4-billion investment to accelerate the development and adoption of safe vehicle automation through real-world pilot projects. Secretary Foxx made the announcement at the North American International Auto Show in Detroit.
The pilot programs, funded via the President’s FY17 budget proposal, would test connected vehicle systems in designated corridors throughout the country, and work with industry leaders to ensure a common multistate framework for connected and autonomous vehicles.
Ricardo white paper outlines needed developments to realize autonomous driving
January 14, 2016
Engineering firm Ricardo has published a white paper—Key Enablers for the Fully Autonomous Vehicle—highlighting the technologies and development processes that are needed to develop commercially feasible self-driving cars that meet consumer expectations while also achieving compliance with likely future transport regulations.
According to the Boston Consulting Group, the projected size of the global autonomous vehicle market in 2025 will be $36 billion for partially autonomous vehicles (levels 1–3) and $6 billion for fully autonomous vehicles (level 4). This includes both passenger and commercial vehicle uses. The realization of fully autonomous vehicles will require further evolution in software, sensors, integration and efficient system testing beyond what is in place for current advanced driver assistance systems.
IBM study finds consumers very interested in alternative ownership models for cars, self-enabling vehicles
January 12, 2016
Consumers expect to use cars differently—showing particular interest in self-enabling vehicles—though they don’t necessarily want to own one in the traditional sense, according to the results of IBM’s automotive consumer study, presented at the North American International Auto Show (NAIAS) in Detroit. This presents opportunities for automakers to apply analytics and cognitive capabilities to develop new vehicle options.
“A New Relationship – People and Cars,” developed by the IBM Institute for Business Value (IBV), reports that consumers also show a high level of interest in self-enabling vehicles, or cars that can learn, heal, drive and socialize. These capabilities include autonomous, self-driving cars, vehicles that can be fixed without human intervention and the implementation of cognitive computing to learn and assimilate to the driver’s behaviors, the vehicle itself and the surrounding environment.
Ford, U Michigan collaborating on enablers for autonomous driving in the snow; high-resolution 3D mapping
Typical autonomous vehicle sensors are useless on snow-covered roads, but researchers at the University of Michigan and Ford are collaborating on a solution. In Michigan and on U-M’s 32-acre Mcity simulated urban environment, they have conducted what they believe are the industry’s first tests of autonomous vehicles in wintry conditions.
Fully autonomous driving can’t rely on GPS, which is accurate only to several yards—not enough to localize or identify the position of the vehicle. It is essential for an autonomous vehicle to know its precise location, not just within a city or on a road, but in its actual driving lane—a variation of a few inches makes a big difference.
HARMAN introduces range of connected vehicle technologies and Microsoft partnership at CES
January 11, 2016
HARMAN International Industries made a number of connected vehicle technology announcements during CES 2016 last week, including a connected car computing platform, demonstrated in the Rinspeed Σtos concept car; an advanced navigation system with live data fusion; an open cloud-based software delivery system; and a new partnership with Microsoft. The company also introduced the first pupil-based driver monitoring system.
Connected car computing platform. HARMAN’s Life-Enhancing Intelligent Vehicle Solution (LIVS) integrates previously discreet or separate connectivity and operational domains under a new, holistic automotive computing platform. HARMAN says that LIVS is the industry’s most complete end-to-end system to provide drivers intelligent, adaptable and personal solutions in the car. HARMAN demonstrated LIVS applied in the latest Rinspeed concept car—Σtos—at CES 2016.
Virginia Tech report finds national crash rate for conventional vehicles higher than crash rate of self-driving cars
January 09, 2016
A new report, “Automated Vehicle Crash Rate Comparison Using Naturalistic Data,” performed by the Virginia Tech Transportation Institute and commissioned by Google, shows that the crash rates for self-driving cars are lower than the national crash rate of conventional cars.
Results show that when data is adjusted for unreported crashes and take into account accident severity, the national crash rate for conventional vehicles is higher than the crash rate of self-driving cars.
Toshiba introduces new automotive Ethernet-AVB bridge; working with Qualcomm on advanced connected car systems
January 08, 2016
AT CES 2016, Toshiba America Electronic Components, Inc. (TAEC) introduced an automotive-grade Ethernet bridge solution for in-vehicle infotainment (IVI) and other automotive applications. The TC9560XBG supports standards such as IEEE 802.1AS and IEEE 802.1Qav, generally referred to as Ethernet-AVB (Audio Video Bridging). The Ethernet-AVB standard enables stable, reliable multimedia transmissions, making it suitable for IVI and telematics. (Earlier post.)
TAEC also announced it is working with Qualcomm Technologies to bring to the automotive market advanced connected car platforms powered by Qualcomm Snapdragon 820A and Snapdragon 602A processors, and telematics solutions powered by the Qualcomm Snapdragon X12 LTE modem. (Earlier post.)
Renault-Nissan to launch more than 10 vehicles with autonomous drive technology over the next four years
January 07, 2016
The Renault-Nissan Alliance will launch more than 10 vehicles with autonomous drive technology in the next four years in the United States, Europe, Japan and China. The technology will be installed on mainstream, mass-market cars at affordable prices.
The year 2016 will mark the debut of vehicles with “single-lane control,” a feature that allows cars to drive autonomously on highways, including in heavy, stop-and-go traffic. In 2018, Renault-Nissan will launch vehicles with “multiple-lane control,” which can autonomously negotiate hazards and change lanes during highway driving. And 2020 will see the launch of “intersection autonomy,” which can navigate city intersections and heavy urban traffic without driver intervention.
Audi to use Gen 2 zFAS controller in production e-tron quattro; piloted driving; moving to domain-controlled architecture
The production version of Audi’s e-tron quattro battery-electric SUV (earlier post) will be equipped with the second-generation of Audi’s central driver assistance controller the zFAS (earlier post), according to Ricky Hudi, Executive Vice President Electronic Development, Audi AG. The vehicle will be capable of driving fully autonomously, he said at CES 2016.
zFAS is the domain controller for Audi piloted driving systems. The information supplied by all sensors—including the signals from the 3D cameras, the laser scanner and the radar and ultrasonic sensors—is permanently fed into and processed by this module. With its tremendous computing power, the zFAS will be capable of continuously comparing the data from the vehicle sensor systems with the model of the road space and its surroundings.
Qualcomm introduces Snapdragon 820A SoC infotainment and connectivity processors for automotive; expanding automotive investment
Qualcomm subsidiary Qualcomm Technologies, Inc., introduced its latest Qualcomm Snapdragon automotive processors, the Snapdragon 820 Automotive family, offering a scalable next-generation infotainment, graphics and multimedia platform with machine intelligence and a version with integrated LTE-Advanced connectivity.
The new processors expand Qualcomm’s automotive technology portfolio, adding to a collection of integrated solutions in the areas of telematics and connectivity, as well as high definition graphics and multimedia for rich infotainment systems, machine intelligence and sensor fusion for advanced driver assistance systems (ADAS), GNSS location technologies, V2X (Vehicle to Vehicle/Infrastructure/Pedestrian) communications for improved safety and driver convenience, and wireless charging for electric vehicles.
Thomson Reuters report finds established auto industry companies, not Silicon Valley, leading development of autonomous driving tech
Established automotive industry companies—not Silicon Valley—are leading the development of autonomous driving technology, according to a new report from the Intellectual Property and Science business of Thomson Reuters. The report, which analyzes global patent activity in the field of self-driving automobiles over the last five years, identifies the global leaders in the development of the technologies and also makes predictions about the future of driverless cars.
According to the report—2016 State of Self-Driving Automotive Innovation—there were more than 22,000 new inventions related to self-driving automobiles between January 2010 and October 2015, with some clear leaders already emerging in the space.
Kia Motors introduces new DRIVE WISE sub-brand for advanced driver assistance and autonomous driving technologies
January 06, 2016
At CES 2016, Kia Motors launched a new sub-brand—DRIVE WISE—to encompass its future Advanced Driver Assistance Systems (ADAS). Kia recently announced plans to manufacture partially-autonomous cars by 2020, and aims to bring its first fully-autonomous vehicle to market by 2030. (Earlier post.)
A preliminary $2-billion investment by Kia by 2018 is intended to fast-track development of the new DRIVE WISE technologies. The state of Nevada recently granted Kia a special licence to test the new technologies on public roads. Kia’s battery-electric Soul EV is acting as the brand’s testbed for the development of next-generation DRIVE WISE technologies.
Toyota Research Institute CEO Pratt outlines initial AI/robotics mandates; trillion-mile reliability
Last November, Toyota Motor established a new company—Toyota Research Institute Inc. (TRI), an R&D enterprise with a focus on artificial intelligence and robotics—with an announced initial investment of $1 billion over the next five years. (Earlier post.) (The investment is in addition to the $50 million investment over the next five years with MIT and Stanford, each close by TRI’s new offices, to establish joint fundamental artificial intelligence research centers at each university.) At a press conference at CES 2016, TRI CEO and Toyota Executive Technical Advisor Dr. Gill Pratt laid out his new company’s near-term approach and challenges it seeks to address, as well as its much larger ambitions.
For the longer term, Toyota believes artificial intelligence and robotics offers the significant potential not only to support future industrial technologies but to create an entirely new mobility industry. Drawing an analogy to Toyota’s own history, Dr. Pratt noted that:
NVIDIA introduces DRIVE PX 2 platform for autonomous driving
At CES 2016, NVIDIA introduced NVIDIA DRIVE PX 2—a high-performance computing platform for in-vehicle artificial intelligence applied to the complexities inherent in autonomous driving. DRIVE PX 2 utilizes deep learning on NVIDIA’s most advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.
DRIVE PX 2—which delivers processing power equivalent to 150 MacBook Pros—uses two next-generation Tegra processors plus two next-generation discrete GPUs, based on the Pascal architecture, to deliver up to 24 trillion deep learning operations per second, which are specialized instructions that accelerate the math used in deep learning network inference. That’s more than 10 times the computational horsepower than the previous-generation DRIVE PX.
ARPA-E issues RFI on energy efficiency optimization for connected and automated vehicles; vehicle dynamic and powertrain control
January 05, 2016
The Advanced Research Projects Agency - Energy (ARPA-E) has issued a request for information (DE-FOA-0001473) seeking input from researchers and developers in a broad range of disciplines including automotive vehicle control, powertrain control and transportation analytics regarding the development of advanced energy efficiency optimization technologies for future connected and automated vehicles (CAVs).
ARPA-E is interested in new and emerging full vehicle and powertrain control technologies that can reduce the energy use associated with automotive transportation, beyond those technologies currently expected to be deployed in future vehicles. The focus of the RFI is on the potential improvement in the energy efficiency of each individual vehicle in the automotive fleet through the improvement of powertrain control and vehicle dynamic control, by utilizing emerging technologies and strategies in sensing, communications, information, control and automation.
Ford tripling autonomous vehicle development fleet; Gen 3 autonomous dev platform; new Velodyne LiDAR
Ford is tripling its fleet of fully autonomous Ford Fusion Hybrid test vehicles—making it the largest in the automotive industry, according to the company—and will use a new-generation sensor technology as the company further accelerates its autonomous vehicle development plans.
This year, Ford will add 20 Fusion Hybrid autonomous vehicles, bringing the company’s autonomous fleet to about 30 vehicles being tested on roads in California, Arizona and Michigan. The newest vehicles are on Ford’s third-generation autonomous vehicle development platform, built using Fusion Hybrid sedans, similar to the second-generation platform.
GM to invest $500M in Lyft; creating integrated network of on-demand autonomous vehicles
January 04, 2016
General Motors and rideshare company Lyft are entering a long-term strategic alliance to create an integrated network of on-demand autonomous vehicles in the US. GM will invest $500 million in Lyft to help the company continue the rapid growth of its successful ridesharing service. In addition, GM will hold a seat on the company’s board of directors.
The GM investment is part of a $1-billion funding round Lyft is closing. In addition to the GM money, Kingdom Holding Company invested $100 million making the total investment of Kingdom Holding and its affiliates approximately $250 million. Several new and existing Lyft investors were also in the round including Janus Capital Management, Rakuten, Didi Kuaidi and Alibaba. Following this latest round, Lyft is valued at $5.5 billion, post-money. Key elements of the GM and Lyft alliance include:
Toyota developing new cloud-based high-precision map generation system using data from production vehicles
December 22, 2015
To aid the safe implementation of automated driving, Toyota is developing a high-precision map generation system that will use data from on-board cameras and GPS devices installed in production vehicles. The new system will go on display at CES (Consumer Electronics Show) 2016 in Las Vegas next month.
Toyota’s new system uses camera-equipped production vehicles to gather road images and vehicle positional information. This information is sent to data centers, where it is automatically pieced together, corrected and updated to generate high precision road maps that cover a wide area.
2nd annual Bosch analysis of ADAS finds emergency braking and lane assist systems on the rise
December 21, 2015
An analysis of new car registration in Germany for 2014 reveals that driver assistance systems are playing an increasingly greater role when it comes to purchasing a car. The importance of lane assist and automatic emergency braking systems in particular has grown significantly, according to the analysis by Bosch—the company’s second annual assessment of adoption of the technology.
According to the evaluation, based on the 2014 registration statistics, one in five of the nearly three million newly registered passenger cars in Germany last year were equipped with such systems. By way of comparison, the evaluation for 2013 revealed that the two assistance systems featured in only one in ten new cars.
Ford to begin autonomous vehicle testing on California roads; Silicon Valley Lab accelerates Smart Mobility Plan
December 16, 2015
Fully autonomous Ford Fusion Hybrid sedans will begin testing on California streets next year, as Ford Research and Innovation Center Palo Alto continues growing.
Ford is officially enrolled in the California Autonomous Vehicle Tester Program to test autonomous vehicles on public roads. The testing is further advancement of Ford’s 10-year autonomous vehicle development program and a key element of Ford Smart Mobility, the plan to take the company to the next level in connectivity, mobility, autonomous vehicles, the customer experience, and data and analytics.
Mercedes adding semi-autonomous Active Lane Change Assist to new E-Class in spring
December 09, 2015
Mercedes-Benz will expand the new Driving Assistance package of the future E-Class for the market launch in spring with the semi-autonomous Active Lane Change Assist function. The radar- and camera-based assistance system supports the driver in changing lanes—for example, when passing on multi-lane roads. The system offers a significant further increase in comfort and can help to prevent collisions.
Active Lane Change Assist is a sub-function of DRIVE PILOT and thus a component of the Driving Assistance package from Mercedes-Benz, which will have its world premiere in the new E-Class next year. The new E-Class will be launched in Germany in spring 2016.
Swift Navigation raises $11M Series-A round for high-accuracy RTK GPS for autonomous vehicles
Swift Navigation, a startup building centimeter-accurate GPS technology for autonomous vehicles, raised an $11-million series-A round led by Lior Susan and Pierre Lamond of Eclipse, with participation from New Enterprise Associates and Promus Ventures.
By moving GPS positioning from custom hardware to a flexible software-based receiver, Swift Navigation delivers Real Time Kinematics (RTK) GPS that is 100 times more accurate than the GPS in a cell phone at a fraction of the price of the competition. With more than 1,200 customers for its first product, Piksi, the company has already experienced high demand for its low-cost, high-performance GPS receiver.
KPMG study finds autonomous vehicles & mobility services could add one trillion more vehicle miles traveled annually by 2050
November 26, 2015
Innovations in autonomous vehicles, connectivity, and mobility-on-demand will have a profound impact on consumers, particularly among younger and older people, according to a new study by KPMG. With these age groups set to embrace these technological and transformational changes, vehicle miles traveled (VMT) in the US will soar by approximately one trillion additional miles per year by 2050.
According to KPMG’s research, which consisted of consumer focus groups in Atlanta, Chicago and Denver, two generations will largely drive consumer demand in the future, the millennials and the “baby boomers plus”—ranging from 45 to 75 years. However, in every age group, participants showed significant attraction to mobility on demand for specific conditions or circumstances, including safety, weather, premium experience, and leisure time.
IHS Automotive sees Google leading technology, testing, software development for autonomous driving
November 13, 2015
The key to self-driving cars is software that can interpret all of a vehicles’ sensors and learn to mimic the driving skills and experiences of the very best drivers. Google is the current technology leader in this arena, according to a report from industry analysts IHS Automotive: “Google Self-Driving Car Strategy and Implications”. IHS estimates suggest Google has invested nearly $60 million so far in autonomous vehicle research and development, at a run rate of nearly $30 million per year.
Unlike traditional vehicle manufacturers, Google also has the ability to leverage adjacent technologies and learnings from its other projects and investments—including robotics, drones and related technologies that help automotive operations, such as neural networks, artificial intelligence (AI), machine learning and machine vision. This provides Google researchers additional expertise not available directly to traditional OEMs.
Ford first to test autonomous vehicle at U Michigan Mcity
Ford is the first automaker to test autonomous vehicles at Mcity—the full-scale simulated real-world urban environment at the University of Michigan. (Earlier post.) The 32-acre facility is part of the university’s Mobility Transformation Center.
Ford has been testing autonomous vehicles for more than 10 years and is now expanding testing on the diversity of roads and realistic neighborhoods of Mcity near the North Campus Research Complex to accelerate research of advanced sensing technologies.
Kespry and NVIDIA demonstrate deep learning for commercial autonomous drones; NVIDIA Jetson TX1
November 11, 2015
Kespry, a commercial drone system company, demonstrated a prototype drone that uses NVIDIA artificial intelligence technology to recognize objects. The Kespry prototype uses the newly introduced NVIDIA Jetson TX1 module for deep learning, which offers complex algorithms to make autonomous devices more intelligent. The prototype is based on the Kespry Drone System that is in use by customers in the materials, mining and construction industries.
The demo was conducted using the NVIDIA Jetson TX1 embedded module—unveiled yesterday at an NVIDIA event in San Francisco. Jetson TX1 is a credit-card sized module that will enable a new generation of smart, learning autonomous devices. With its 1 teraflops of performance, Jetson delivers exceptional performance for machine learning, computer vision, GPU computing, and graphics, while drawing very little power.
HARMAN contributes open source software to Open AVB Project for low-latency, real-time automotive Ethernet
November 03, 2015
HARMAN has made an open source software contribution to the Open AVB project to help drive the adoption of Ethernet AVB/TSN (Audio Video Bridging/Time Sensitive Networking) in automotive, consumer, pro audio/video and industrial markets. In AVB/TSN, the maximum latency is deterministic and thus supports low-latency applications from live A/V to machine control.
Legacy Ethernet uses “best effort delivery”—i.e., data traffic flow is indeterminate, and intervening traffic can delay a data stream. Because of this uncertainty on receiving a stream packet, the receivers in legacy systems typically employ large buffers so as not to underflow, which would result in an audible click on an audio stream or loss of critical control information in a control stream.
Nissan begins testing piloted driving on both city roads and highway
October 31, 2015
Nissan has begun testing its first prototype vehicle that demonstrates piloted drive on both highway and city/urban roads. Nissan’s “Intelligent Driving” comprises features that will be introduced in stages, all toward achieving Nissan’s “Zero Fatality” goal of eliminating virtually all fatalities stemming from traffic accidents.
For Stage One, Nissan will offer “Piloted Drive 1.0” by the end of 2016 in Japan. Piloted Drive 1.0 allows for autonomous driving under heavy highway traffic conditions. By 2018, the company hopes to implement a multiple lane piloted drive that can conduct lane changes on highways. By 2020, Nissan will introduce a new technology that allows vehicles to successfully manage city/urban roads—including intersections—autonomously. Autonomous driving under congested city conditions, with all the variables, is a much more difficult problem than on the highway.
UMTRI preliminary analysis of autonomous vehicle safety
October 30, 2015
Researchers at the University of Michigan Transportation Research Institute (UMTRI) have performed a preliminary analysis of the cumulative on-road safety record of self-driving vehicles for three of the ten companies that are currently approved for such vehicle testing in California (Google, Delphi, and Audi).
The analysis compared the safety record of these vehicles with the safety record of all conventional vehicles in the US for 2013 (adjusted for underreporting of crashes that do not involve a fatality). The study, by Brandon Schoettle and Michael Sivak, made four main findings:
Mitsubishi eX concept crossover highlights design and electric vehicle technology directions
October 29, 2015
Mitsubishi Motors Corporation (MMC) unveiled the Mitsubishi eX electric crossover concept at the Tokyo Motor Show. MMC intends the eX to showcase next-generation electric vehicle technologies, as well as a new take on the Dynamic Shield front design concept.
The next-generation EV system employs a 45 kWh battery pack together with compact 70 kW electric motors, one on each axle, for a combined output of 140 kW. With further weight reductions in the vehicle itself, the eX can deliver a cruising range of 400 km (249 miles).
Mercedes-Benz Vision Tokyo concept fuel cell hybrid leverages F 015 Luxury in Motion concept
October 28, 2015
Mercedes-Benz introduced a new advanced design concept at the Tokyo Motor Show: the Vision Tokyo. The concept is powered by a fuel cell electric drive system based on the F-CELL PLUG-IN HYBRID of the self-driving F 015 Luxury in Motion concept introduced at CES in January. (Earlier post.) The next combines the on-board generation of electricity with a particularly powerful and compact high-voltage battery that can be charged wirelessly via induction.
Pressure tanks made from CFRP store the hydrogen in the concept car. The electric hybrid system has a total range of 980 kilometers (609 miles), of which some 190 kilometers (118 miles) are courtesy of battery-powered driving and around 790 kilometers (491 miles) from the electricity produced in the fuel cell.
Nissan IDS Concept previews future of autonomous driving and EVs
At the Tokyo Motor Show, Nissan Motor unveiled a concept vehicle that embodies Nissan’s vision of the future of autonomous driving and EVs: the Nissan IDS Concept.
Nissan Intelligent Driving, Nissan’s concept of autonomous drive technology, integrates advanced vehicle control and safety technologies with artificial intelligence (AI) and represents what Nissan believes next-generation vehicles should be. “Nissan Intelligent Driving improves a driver’s ability to see, think and react. It compensates for human error, which causes more than 90 percent of all car accidents. As a result, time spent behind the wheel is safer, cleaner, more efficient and more fun,” said Nissan president and CEO Carlos Ghosn.
UMTRI researchers suggest autonomous vehicles should pass a licensing test
October 23, 2015
Michael Sivak and Brandon Schoettle of the University of Michigan Transportation Research Institute (UMTRI) are suggesting that self-driving vehicles should be required to pass a licensing test.
Most driver-licensing tests evaluate three aspects of driving readiness, they observed: visual performance; knowledge of rules and regulations related to driving and traffic in general; and driving-related psychomotor skills. The reasons for the need to test prospective drivers are that:
Marvell introduces 1st 1000BASE-T1 automotive Ethernet PHY transceiver; Gigabit Ethernet for connected cars
October 20, 2015
Marvell, a leading fabless semiconductor company, introduced the Marvell 88Q2112, the industry’s first 1000BASE-T1 automotive Ethernet physical layer (PHY) transceiver compliant with the draft IEEE 802.3bp 1000BASE-T1 standard—i.e., Gigabit Ethernet for cars. The 88Q2112 supports the industry’s highest in-vehicle connectivity bandwidth and is designed to meet the rigorous EMI requirements of an automotive system.
The 1000BASE-T1 standard allows high speed and bi-directional data traffic over light weight, low-cost, single pair cable harnesses. The Marvell 88Q2112 will sample to Marvell’s global customers starting in November 2015.
Navigant: Daimler, Audi, BMW, and General Motors currently leading development of autonomous vehicle market
October 15, 2015
In a new Leaderboard Report, Navigant Research ranks Daimler, Audi, BMW, and General Motors (GM) as leading the autonomous vehicle OEM market in terms of strategy and execution. The report examines the strategy and execution of 18 original equipment manufacturers (OEMs), including company profiles and rankings, to provide an objective assessment of these companies’ relative strengths and weaknesses in the developing autonomous vehicle market.
Although fully automated vehicles are expected to be about a decade away from production—depending upon the enactment of the enabling legislation—the incremental systems necessary as foundations for the technology are emerging today. Systems that can drive autonomously in simple situations such as on freeways and in traffic jams are now being offered in some 2016 model year vehicles. These vehicles have the capability to follow the vehicle in front and maintain a safe gap while staying in lane.
Tesla v7.0 software update boosts self-driving capabilities; Autopilot arrives
Beginning in October 2014, Tesla began equipping Model S vehicles with hardware to support the incremental introduction of self-driving technology: a forward radar; a forward-looking camera; 12 long-range ultrasonic sensors positioned to sense 16 feet around the car in every direction at all speeds; and a high-precision digitally-controlled electric assist braking system. (Earlier post.)
The company’s latest software release—Tesla Version 7.0—enables a range of new active safety and convenience features based on that hardware, designed to work in conjunction with the automated driving capabilities already offered in Model S: Lane Departure Warning; Blind Spot Warning; Intelligent Speed Assist; Traffic-Aware Cruise Control (TACC); Forward Collision Warning; and Automatic Emergency Braking.
Renesas Electronics America introduces new vehicle-level platform for development of autonomous and V2X driving
October 13, 2015
Renesas Electronics America has introduced a new, comprehensive, vehicle-level driving platform to accelerate the development of autonomous and connected driving systems.
Working in close collaboration with Harbrick, NewFoundry, Arada Systems, eTrans, and Cogent Embedded, Renesas developed a fleet of cars to operate as a modular and open laboratory for automotive customers. This strategy enables safe integrated solutions beyond silicon, while reducing design risk and accelerating time to market through pre-testing and integration.
Panasonic highlighted automated and connected vehicle technologies at ITS World Congress; anti-hacker security
October 11, 2015
Panasonic exhibited its portfolio of automated and connected vehicle technologies and Intelligent Transport Systems (ITS) big data solutions at ITS World Congress 2015, Bordeaux. Panasonic offers automotive and device solutions for pedestrians and cars, infrastructure solutions for homes, roads and more.
In the report “Analysis of the Advanced Driver Assistance Systems (ADAS) Market in Europe”, Frost & Sullivan Research Analyst Cathy Brown points out that “Driven by legislation and cost effective vehicles, the ADAS market in Europe is entering a new phase of applications integrating both safety and comfort.” According to Masahisa Shibata, President of Panasonic Automotive and Industrial Systems Europe, Panasonic’s global strategy focuses on three key business areas:
Jaguar Land Rover and EPSRC announce $17M autonomous vehicle research program; 5 projects selected
October 09, 2015
Jaguar Land Rover and the UK’s Engineering and Physical Sciences Research Council (EPSRC) are jointly funding an £11-million (US$17-million) research program to develop fully autonomous cars. The research will take place at ten UK universities and the Transport Research Laboratory.
As part of its strategic partnership with Jaguar Land Rover, EPSRC issued a joint call for research proposals that focussed on developing fully autonomous cars: “Towards Autonomy - Smart and Connected Control”. Five projects were selected and Jaguar Land Rover will be leading the collaboration with these successful research groups.
$90M UR:BAN research initiative presenting results on ADAS and traffic management for cities; intelligent vehicles
October 07, 2015
In Düsseldorf, the 31 partners—automobile and electronics manufacturers, suppliers, communication technology and software companies, research institutes and cities—involved in the UR:BAN research initiative (Urban Space: user-friendly assistance systems and network management) presented the results of four years of work in a two-day event.
UR:BAN’s goal is to develop advanced driver assistance and traffic management systems for cities, with a focus on the human element in all aspects of mobility and traffic. The project pursued its objectives in three main thematic target areas: Cognitive Assistance; Networked Traffic System; and Human Factors in Traffic.
Toyota testing new Highway Teammate automated driving vehicle; aiming for commercialization around 2020
October 06, 2015
Toyota has been testing a new automated driving platform, a modified Lexus GS called Highway Teammate, with the aim of launching related products by around 2020. In addition to demonstrating the capabilities of next-generation safety technologies, the vehicle represents Toyota’s view of the evolving driver-car relationship in the age of artificial intelligence.
Toyota believes that interactions between drivers and cars should mirror those between close friends who share a common purpose, sometimes watching over each other and sometimes helping each other out. Toyota refers to this approach as the Mobility Teammate Concept. Highway Teammate represents an important first effort to give form to this concept.
PSA prototype travels 580km from Paris to Bordeaux in autonomous mode
October 05, 2015
On 2 October, one of PSA Peugeot Citroën’s four autonomous vehicles drove itself 580 km (360 miles) on the highway from Paris to Bordeaux entirely in autonomous mode to take part in the Intelligent Transport Systems (ITS) World Congress, which runs until 9 October. The car autonomously adjusted its speed and changed lanes to overtake, taking into account other vehicles, speed limits and infrastructure.
In July 2015, the Group became the first carmaker to obtain the relevant authorizations to carry out open road tests in France using 4 autonomous prototypes, with 15 such models in 2016.
Cohda introduces new 360˚ radar for V2X connected vehicles
October 04, 2015
Cohda Wireless is introducing a low-cost, 360-degree radar for vehicles fitted with V2X connected car systems. The new V2X-Radar delivers a 360-degree sensor that can detect buildings, road signs and also older vehicles that are not equipped with V2X technology. Unlike current technologies, it is unaffected by rain, snow or fog, and can “see” around corners.
V2X-Radar takes advantage of current V2X systems that use IEEE 802.11-compliant wireless signals to share sensor information between vehicles and infrastructure. These radio signals bounce off many objects—walls, road signs and other vehicles—as they travel from transmitter to receiver. V2X-Radar can use these radio waves
Daimler Trucks testing the first series-production semi-autonomous truck on public roads
October 02, 2015
Daimler Trucks today demonstrated the first series-production truck to operate on an automated basis—automation level 2 (partially automated driving)—on the A8 public highway between Denkendorf and Stuttgart. The standard Mercedes-Benz Actros equipped with the Highway Pilot system is approved as a test vehicle in accordance with §19/6 StVZO (German road traffic type approval law).
The version of the Highway Pilot installed in the Actros allows semi-autonomous driving. Although the Highway Pilot is able to steer the truck by itself on motorways, the driver retains full responsibility; needs to monitor the traffic at all times; and must be able to intervene at any time. Daimler compares the Highway Pilot to the autopilot commonly used in aviation.