[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.]
$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.
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.
Renesas introducing R-Car W2R 5.9 GHz automotive wireless communication SoC for V2X communication
September 30, 2015
Renesas Electronics Corporation announced the R-Car W2R system-on-a-chip (SoC), the first member of the new Renesas R-Car Family of devices developed specifically for V2X applications. The new automotive wireless communication SoC is designed for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication in the 5.9-gigahertz (GHz) band.
Through the use of Renesas’ exclusive RF system design technology, the R-Car W2R is the first in the world to succeed in suppressing out-of-band transmission signal noise below the -65 dBm stipulated by the European Telecommunications Standards Institute (ETSI). This makes it possible for products that use the R-Car W2R to achieve the best noise characteristics in the world. This enables high-quality signals with little interference to be transmitted, making it possible to implement vehicle-to-everything (V2X) at a practical level in various kinds of ADAS systems for supporting safe driving.
DOE announces $70M for Innovation Institute on Smart Manufacturing; advanced sensors, controls, platforms, and modeling for manufacturing
September 18, 2015
The US Department of Energy announced up to $70 million in funding (DE-FOA-0001263) for the next Clean Energy Manufacturing Innovation Institute, which will be focused on smart manufacturing. With this investment, the DOE aims to support research and development advancements that can reduce the cost of deployment for technologies such as advanced sensors, controls, platforms, and modeling for manufacturing by as much as 50%. As part of President Obama’s National Network of Manufacturing Innovation (NNMI) institutes, the institute will also demonstrate these technologies in manufacturing processes with a goal to increase energy efficiency by at least 15% and improve energy productivity by at least 50%.
“Energy intensive industries, such as steelmaking, could see a 10 to 20 percent reduction in the cost of production, making products such as solar panels and chemical materials, such as plastics, as well as the cars and other products they go into, more affordable for American consumers,” said Energy Secretary Ernest Moniz. The goals of the Smart Manufacturing Institute are to:
10 automakers commit to making automatic emergency braking standard in US
September 11, 2015
Ten major vehicle manufacturers have committed to making automatic emergency braking (AEB) a standard feature on all new vehicles built, the US Department of Transportation, its National Highway Traffic Safety Administration (NHTSA) and the Insurance Institute for Highway Safety (IIHS) announced today.
The announcement, made at the dedication of IIHS’s newly expanded Vehicle Research Center, represents a major step toward making crash-prevention technologies more widely available to consumers. The 10 companies—Audi, BMW, Ford, General Motors, Mazda, Mercedes Benz, Tesla, Toyota, Volkswagen and Volvo—will work with IIHS and NHTSA in the coming months on the details of implementing their historic commitment, including the timeline for making AEB a standard feature. The Department and IIHS encourage all other light-vehicle and trucking manufacturers to bring automated vehicle technology to all vehicles on US roadways as soon as possible.
Land Rover researchers develop an innovative camera system for “Transparent Trailer”; Cargo Sense App
September 01, 2015
Land Rover is developing a “see-through” trailer concept that would completely remove the blind spot created when towing a caravan or trailer. This transparent view would allow the driver to clearly see vehicles coming up behind and help driver confidence by improving visibility while maneuvering.
The prototype Transparent Trailer system combines the video feed from the vehicle’s existing surround camera system—which includes the reversing camera and a camera on each wing mirror—with a video from a digital wireless camera that is placed on the rear of the trailer or caravan. The video feeds are then combined to create the live video images that make the trailer behind appear see-through. When the trailer is coupled to the towing car, the live video feed would automatically appear in the rear view mirror inside the vehicle.
ZF TRW wins two major OEM contracts for Gen 2 Safety Domain ECU; building block for automated driving
August 27, 2015
ZF TRW has won two major contracts with North American and European vehicle manufacturers for its second generation Safety Domain ECU (SDE 2)—a key building block and enabler of automated driving. The central controller will launch in Europe and the US starting in 2018. TRW introduced the SDE 2 at the Frankfurt IAA in 2013.
The SDE acts as a central integration hub, processing millions of bytes of data from environmental sensors of the vehicle’s state and surroundings. By interfacing with the steering, braking and drivetrain systems, a multitude of functions can be enabled while reducing the number of control units and simplifying the vehicle’s electronic architecture.
ZF TRW to supply next-gen S-Cam4 systems to European automaker in 2018; ADAS and automated driving; sensor fusion
July 02, 2015
ZF TRW announced the initial contracts for its next-generation camera system—the S-Cam4 family—with a major European manufacture, with deliveries to begin in 2018. This fully scalable family of cameras is designed to meet the increasingly stringent regulatory requirements for advanced driver assist system (DAS) technologies while supporting the evolution toward automated driving, said Peter Lake, ZF TRW executive vice president of sales and business development.
The S-Cam4 family includes a single lens, mono-camera version based on a standard housing and mechanical package designed to help meet test protocols such as EuroNCAP pedestrian triggered automatic emergency braking (AEB) and new potential requirements including a crossing bicycle AEB test. The camera family also includes a premium three-lens TriCam4 version to support advanced semi-automated driving functions.
Jaguar Land Rover’s Sixth Sense R&D: monitoring driver heart rate, respiration and brain activity to reduce accidents
June 23, 2015
Jaguar Land Rover revealed a set of new road safety technology research projects being developed to reduce the number of accidents caused by drivers who are stressed, distracted and not concentrating on the road ahead.
The Jaguar Land Rover “Sixth Sense” research projects utilizes advanced technology from sports, medicine and aerospace, to monitor the driver’s heart rate, respiration and levels of brain activity to identify driver stress, fatigue and lack of concentration. The UK-based team is also looking at innovations that would reduce the amount of time the driver’s eyes are off the road while driving, and how to communicate with the driver via pulses and vibrations through the accelerator pedal.
Jaguar Land Rover showcases remote-control and autonomous 180˚ turn technologies
June 16, 2015
Jaguar Land Rover is showcasing two of the prototype technologies that its UK-based research team are developing to deliver autonomous driving in the future: remote control via smartphone and autonomous multi-point turning.
A Remote Control Range Rover Sport research vehicle demonstrates how a driver could drive the vehicle from outside the car via a smartphone. The smartphone app includes control of steering, accelerator and brakes as well as changing from high and low range. This would allow the driver to walk alongside the car, at a maximum speed of 4 mph (6.4 km/h), to maneuver the car out of challenging situations safely, or even to negotiate difficult off-road terrain.
DARPA program integrates non-mechanical optical scanning tech on microchip; new class of low-cost, miniature LIDAR could support autonomous vehicle apps
May 30, 2015
DARPA’s Short-range Wide-field-of-view Extremely agile Electronically steered Photonic EmitteR (SWEEPER) program has successfully integrated breakthrough non-mechanical optical scanning technology onto a microchip. Freed from the traditional scanning architecture of gimbaled mounts, lenses and servos, SWEEPER technology has demonstrated that it can sweep a laser back and forth more than 100,000 times per second, 10,000 times faster than current state-of-the-art mechanical systems.
SWEEPER technology can also steer a laser precisely across a 51-degree arc, the widest field of view yet achieved by a chip-scale optical scanning system. These accomplishments could open the door to a new class of miniaturized, extremely low-cost, robust laser-scanning technologies for LIDAR and other uses. Applications can include autonomous vehicle technology.
Jaguar introduces Gen 2, aluminum-intensive XF; up to 60 mpg US with diesel Ingenium engine
April 02, 2015
Jaguar has unveiled the second-generation, all-new Jaguar XF at the New York International Auto Show. The coupé-like design uses Jaguar’s aluminum-intensive (75% aluminum) architecture (earlier post) to enable weight savings of up to 190 kg (419 lbs)—making the 163PS diesel model 80 kg (176 lbs) lighter than the nearest competitor—plus an increase in torsional stiffness of up to 28%. The architecture also delivers improvements in packaging and proportions.
The powertrain range will consist of: 163PS (161 hp, 120 kW) and 180PS (178 hp, 132 kW) 2.0-liter diesel manual and automatic; RWD, 240PS (237 hp, 177 kW) 2.0-liter gasoline automatic; RWD, 300PS (296 hp, 221 kW) 3.0-liter diesel automatic; RWD and AWD, 340PS (335 hp, 250 kW) and 380PS (375 hp, 279 kW) 3.0-liter gasoline automatic. With fuel economy as low as 60 mpg US (3.94 l/100 km) (104 g/km CO2) on the European combined cycle from the Ingenium diesel (earlier post), the all-new XF delivers an improvement of almost 20% compared to its predecessor.
Toyota and Lexus roll-out low-cost automated braking safety packages on RAV4 Hybrid and RX crossover
March 30, 2015
At separate press conferences Wednesday and Thursday at the New York Auto Show, Toyota will reveal the RAV4 Hybrid SUV, while Lexus unveils its all-new fourth-generation RX luxury crossover SUV. Both debuts will mark the arrival of new, multi-feature, integrated safety packages, each anchored by automated pre-collision braking and offered at a price below comparable systems across the auto industry.
Toyota Safety Sense (TSS) and Lexus Safety System+ (LSS+) are designed to support the driver’s awareness, decision making and vehicle operation over a wide range of speeds. Packaged together in an integrated system, their features help address three key areas of accident protection: preventing or mitigating rear collisions; keeping drivers within their lane; and enhancing road safety during night time driving. The systems are intended to address commonly occurring crash types according to traffic accident statistical analyses.
Delphi Automotive launching coast-to-coast automated drive
March 15, 2015
Delphi Automotive is launching a US coast-to-coast automated drive—the longest automated drive ever attempted in North America—to showcase its technology capabilities and to gather data and further advance the company’s active safety technology development in this rapidly growing segment of the auto industry. The coast-to-coast trip will launch near the Golden Gate Bridge in San Francisco on 22 March and will cover approximately 3,500 miles.
Recently demonstrated on the streets of Las Vegas at CES 2015, Delphi’s Audi SQ5 automated driving vehicle leverages a full suite of technologies and features to make this trip possible, including:
Mobileye unveils Gen4 system-on-chip EyeQ4; visual processing for ADAS and automated driving; design win for 2018
March 05, 2015
Mobileye N.V., a designer and developer of camera-based Advanced Driver Assistance Systems (ADAS) for the automotive industry, introduced its 4th-generation system-on-chip, the EyeQ4. Leveraging the company’s more than 15 years of expertise in designing computer-vision specific cores, the EyeQ4 consists of 14 computing cores out of which 10 are specialized vector accelerators with extremely high utilization for visual processing and understanding.
The first design win for EyeQ4 in series production has been secured for a global premium European car manufacturer for production to start in early 2018. The EyeQ4 would be part of a scalable camera system starting from monocular processing for collision avoidance applications, in compliance with EU NCAP, US NHSTA and other regulatory requirements, up to trifocal camera configuration supporting high-end customer functions including semi-autonomous driving. The EyeQ4 would support fusion with radars and scanning-beam lasers in the high-end customer functions.
Freescale introduces new vision microprocessor targeting autonomous driving
March 02, 2015
Freescale Semiconductor has introduced the S32V vision microprocessor—the first automotive vision system-on-chip (SoC) with the requisite reliability, safety and security measures to automate and ‘co-pilot’ a self-aware car, the company said.
Leveraging a number of automotive-grade technologies, the S32V moves beyond the current, convenience-centric “assist” paradigm and toward an era where cars can capture data, process it and share control with drivers in critical situations. This capability establishes a bridge from the current “assist” era toward the fully autonomous vehicles of tomorrow, Freescale suggested.
Siemens researching use of infrastructure radar sensor networks to support parking management
February 26, 2015
Siemens is researching the use of infrastructure sensor networks in an advanced parking management solution intended to counter the increasing parking space crisis in cities. The system, analogous to vehicle-based research underway by Ford Motor on the same problem (earlier post), will be used this spring for the first time in a pilot project in Berlin.
In the Siemens concept, networks of stationary sensors collect information about the parking situation in cities. The information is forwarded to the drivers in order to make it easier for them to find unoccupied parking spaces. In addition, the data is transmitted to a parking management center so that cities can intelligently manage their parking spaces.
Volvo Cars announces production-viable autonomous driving system; targeting limited pilot customer rollout by 2017
February 19, 2015
Volvo Cars has developed what it says is a unique, complete system solution that makes it possible to integrate self-driving cars into real traffic. Based on its analysis of potential technical faults, Volvo Cars designed a complete production-viable autonomous driving system. The key is a complex network of sensors, cloud-based positioning systems and intelligent braking and steering technologies.
Volvo Cars’ Autopilot system is designed to be reliable enough to allow the car to take over every aspect of driving in autonomous mode. The technology advances a crucial step beyond the automotive systems demonstrated so far since it includes fault-tolerant systems. With the Drive Me project entering its second year (earlier post), Volvo Cars is thus moving rapidly towards its goal of placing 100 self-driving cars in the hands of customers on selected roads around Gothenburg by 2017.
Ford targeting smart parking as element of Smart Mobility; vehicle sensors, connectivity and big data
February 18, 2015
At CES 2015 in January, Ford CEO Mark Fields announced “Ford Smart Mobility”—a plan to use innovation to take Ford to the next level in connectivity, mobility, autonomous vehicles, the customer experience and big data. (Earlier post.) Three of the initial projects announced as part of the plan address the ongoing problem of urban parking.
Although there are “dozens” of apps available that can help a driver find a parking space, said Dave McCreadie, Ford’s manager of electric vehicle infrastructure and smart grid technology and part of the cross-functional group working on the mobility projects, “the data behind the apps seems a bit thin.” Ford’s idea is to leverage the cloud, in-vehicle sensors, connectivity and advanced data analysis including probability algorithms to provide a much more comprehensive picture of available parking without incurring a cost in infrastructure build-out.
Infineon and Hella develop new compact, lower-cost 24 GHz blind spot radar sensor
February 05, 2015
Semiconductor manufacturer Infineon Technologies, together with the German automotive supplier Hella, has developed innovative radio-frequency components for a 24 GHz radar sensor which reliably monitors the blind spot in the car’s rear section (Blind Spot Detection).
The module saves space and costs through the integration of multiple, formerly separate components into one transceiver and features low power consumption at improved performance. Due to this efficiency increase, serial production of the driver assistance system is made possible for vehicles outside of the premium segment.
Jaguar Land Rover “Bike Sense” uses color, sound and vibration to help prevent accidents involving bicycles and motorbikes
January 21, 2015
|Jaguar Land Rover is developing a range of new technologies that would use colors, sounds and touch inside the car to alert drivers to potential hazards and prevent accidents involving bicycles and motorbikes. Click to enlarge.|
At its Advanced Research Center in the UK, Jaguar Land Rover is developing a range of new technologies it calls “Bike Sense” that uses colors, sounds and touch (vibration) inside the car to alert drivers to potential hazards and prevent accidents involving bicycles and motorbikes. Nearly 19,000 cyclists are killed or injured on UK roads every year.
Sensors on the car will detect when another road user is approaching and identify it as bicycle or motorbike. Bike Sense will then make the driver aware of the potential hazard before the driver sees it. Rather than using a generic warning icon or sound, which takes time for the driver’s brain to process, Bike Sense uses lights and sounds that the driver will instinctively associate with the potential danger.
New system uses monocular camera instead of expensive laser scanners for automated vehicle navigation with comparable performance
January 20, 2015
A doctoral candidate in computer science and engineering at the University of Michigan has developed a new software system that could reduce the high cost of laser scanners used in self-driving and automated cars by enabling the vehicles to navigate using a single monocular camera with the same level of accuracy as the laser scanners at a fraction of the cost. His paper detailing the system recently was named best student paper at the Conference on Intelligent Robots and Systems in Chicago.
Ryan Wolcott’s system builds on the navigation systems used in other self-driving cars that are currently in development, including Google’s vehicle. These use three-dimensional laser scanning technology to create a real-time map of their environment, then compare that real-time map to a pre-drawn map stored in the system. By making thousands of comparisons per second, they’re able to determine the vehicle's location within a few centimeters.
Honda introducing first predictive cruise control system in CR-V in Europe
January 09, 2015
Honda will introduce in Europe the first predictive cruise control system, which Honda calls Intelligent Adaptive Cruise Control (i-ACC), capable of foreseeing and automatically reacting to other vehicles cutting-in to the equipped vehicle’s lane.
Based on extensive real-world research of typical European driving styles, Honda’s Intelligent Adaptive Cruise Control (i-ACC) uses a camera and radar to sense the position of other vehicles on the road. It then applies an algorithm to predict the likelihood of vehicles in neighboring lanes cutting-in by evaluating relations between multiple vehicles, enabling the i-ACC-equipped vehicle to react quickly, safely and comfortably.
Ford announces Smart Mobility plan; 25 initial projects
January 06, 2015
At CES, Ford CEO Mark Fields announced “Ford Smart Mobility”—a plan to use innovation to take Ford to the next level in connectivity, mobility, autonomous vehicles, the customer experience and big data. The initial step is the creation of 25 mobility experiments across the globe designed to help change the way the world moves.
Smart Mobility builds upon Ford’s Blueprint for Mobility (earlier post). As outlined by Ford Motor Company Executive Chairman Bill Ford in his keynote at the 2012 Mobile World Congress in Barcelona, the Blueprint for Mobility defines the start of Ford’s thinking on what transportation will look like in 2025 and beyond, and the technologies, business models and partnerships needed to get there.
NVIDIA introduces DRIVE automotive computers at CES; teraflops of processing for autonomous driving and cockpit visualization
January 05, 2015
At CES in Las Vegas, NVIDIA introduced its DRIVE line of automotive computers, equipped with powerful capabilities for computer vision, deep learning and advanced cockpit visualization. NVIDIA will offer two car computers: NVIDIA DRIVE PX, for developing auto-pilot capabilities, and NVIDIA DRIVE CX, for creating the most advanced digital cockpit systems.
The NVIDIA DRIVE PX auto-pilot development platform provides the technical foundation for cars with completely new features that draw heavily on recent developments in computer vision and deep learning. DRIVE PX leverages the new NVIDIA Tegra X1 mobile super chip, which is built on NVIDIA’s latest Maxwell GPU architecture and delivers more than one teraflops of processing power, giving it more horsepower than the world’s fastest supercomputer of 15 years ago.
BMW to show 360-degree collision avoidance and fully-automated remote parking in multi-story garages at CES
December 15, 2014
|The driver has the i3 park itself in a multi-story garage using a smartwatch. Click to enlarge.|
BMW will demonstrate new driver assistance and automated control functions including 360-degree collision avoidance and fully-automated parking in multi-story parking garages at the upcoming Consumer Electronics Show (CES) 2015 in January.
The platform for 360-degree collision avoidance is secure position and environment recognition; the research vehicle is a BMW i3. Four advanced laser scanners record the environment and reliably identify impediments such as columns, for example in a multi-story parking garage. If the vehicle approaches a wall or a column too quickly, the system brakes automatically to prevent the threat of collision. The vehicle is brought to a standstill very precisely with centimeters to spare.
IBM Research and ASELSAN to collaborate on metal-air battery technology, focusing on EVs; mm-wave ICs
November 25, 2014
IBM Research and Turkish defense industry technology company ASELSAN (Askerî Elektronik Sanayii, Military Electronic Industries) have signed collaborative development agreements concerning research and development of metal-air battery technologies and millimeter wave integrated circuits. The companies will work together on these projects, and through these efforts ASELSAN will enhance its in-house research and development activities.
In 2009, IBM and its partners launched a multi-year research initiative specifically exploring rechargeable Li-air systems (one type of metal-air battery): “The Battery 500 Project”. (Earlier post.) The “500” stands for a target range of 500 miles/800 km per charge, which translates into a battery capacity of about 125 kWh at an average use of 250 Wh/mile for a standard family car.
BMW i Ventures makes strategic investment in smartphone driving analytics company Zendrive
The BMW Group’s venture capital company, BMW i Ventures, has made an investment in the startup Zendrive, a company that uses data and analytics gathered from smartphones rather than OBD to improve driving through driving analytics. Related BMW mobility services investments currently include JustPark, Chargepoint, Life360, Chargemaster, and MyCityWay. The Zendrive investment is the first in a series of investment announcements that will be made in the months ahead, said Ulrich Quay, Managing Director of BMW i Ventures, LLC.
Zendrive uses the sensors on a smartphone to measure a driver’s behaviors; Zendrive’s Driver-Centric Analytics process the data from the phone’s sensors into a Zendrive score that factors in cell phone use, speed, swerves, hard stops, fast accelerations, fatigue, as well as weather, trip duration, time of day, and more.
New Toshiba image-recognition processors for ADAS; night-time pedestrian detection and 3D reconstruction
November 14, 2014
Toshiba Corporation will expand its line-up of image-recognition processors for automotive applications with the launch of the TMPV760 series. Sample shipments of the first device, TMPV7608XBG, will start in January 2015, with mass production scheduled for December 2016 onwards.
With TMPV7608XBG, Toshiba is supporting the realization of next-generation Advanced Driver Assistance Systems (ADAS). Support for standard ADAS features includes AEB (Autonomous Emergency Braking); TSR (Traffic Sign Recognition); LDW (Lane Departure Warning) and LKA (Lane Keeping Assist); HBA (High Beam Assistance); FCW (Forward Collision Warning); plus new applications that include TLR (Traffic Light Recognition) and AEB pedestrian (during both day and night), which will become part of the Euro NCAP testing program in 2018.