[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.]
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.
Continental urea sensors for efficient SCR NOx aftertreatment in diesels; measuring level, quality and temperature
February 05, 2016
Continental has begun production of urea sensors for the first time to support more efficient exhaust-gas aftertreatment in diesel engines. The sensor measures the level, quality, and temperature of the aqueous urea solution in the “AdBlue” tank used in conjunction with selective catalytic reduction (SCR) for NOx reduction.
The sensor-aided denitrification supports fulfillment of the legal requirements and reinforces drivers’ trust that their car emits no more than the maximum permissible level of nitrogen oxides.
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.
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.
Ford, U Michigan collaborating on enablers for autonomous driving in the snow; high-resolution 3D mapping
January 12, 2016
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.
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.
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.
Ford tripling autonomous vehicle development fleet; Gen 3 autonomous dev platform; new Velodyne LiDAR
January 05, 2016
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.
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.
Audi’s production electric e-tron quattro may set a new standard for vehicle handling; advanced vehicle dynamics control
December 01, 2015
The production version of Audi’s battery electric e-tron quattro SUV (earlier post), due out in 2018, is an important vehicle for the brand, and especially for Audi of America, which is driving many of the requirements for the C-segment electric SUV. At the LA Auto Show, Audi of America President Scott Keogh said that the brand is targeting at least 25% of its US sales to be e-tron—i.e., plug-in hybrid or full electric—models by 2025. (Earlier post.)
He also observed, in a conversation on the eve of the LAAS, that if an automaker can launch a defining product, the game changes. Audi intends for the e-tron quattro to become such a defining product—an Audi electric SUV in the high-volume C-segment that is reasonably priced (in the luxury sector) and delivers longer range along with all the “known” benefits of electric drive: speedy acceleration, quiet, lower cost of fueling, and zero tailpipe emissions (as well as the high-value HOV sticker for some markets). But to make this a benchmark product, Audi intends to go further, leveraging the three-motor electric quattro powertrain through very advanced software controls to deliver a ride and handling experience not possible even in an all-wheel drive electric vehicle equipped with a torque vectoring differential mechanism (e.g., a Tesla).
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.
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.
Tesla v7.0 software update boosts self-driving capabilities; Autopilot arrives
October 15, 2015
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:
$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.