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[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.]

Waterloo team develops adaptive anti-idling regenerative power system for service vehicles

June 19, 2017

A team at the University of Waterloo in Canada has developed a novel adaptive auxiliary battery-powered anti-idling system for service vehicles (e.g. delivery trucks or public buses); the energy storage system in the regenerative auxiliary power system (RAPS) is able to electrify the vehicle auxiliary systems.

Service vehicles generally have pre-determined routes, making it feasible to use a model predictive control strategy to improve fuel economy. However, the team noted, the mass/load of such service vehicles is time-varying during a drive cycle. The researchers developed an adaptive model predictive controller to account for this variation. A vehicle can save up to 7% fuel by using anti-idling system and the adaptive model predictive controller, compared to a prescient model predictive controller. A paper on their work is published in the journal Energy.

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Transdev, Delphi partner on autonomous transportation; testing 1st open-road, driverless on-demand mobility service in EU

June 08, 2017

Transdev, a leading global provider of mobility services, and Delphi Automotive PLC have entered into a commercial partnership to develop a global, fully automated, mobility-on-demand (AMoD) transport system. The system will utilize Transdev Universal Routing Engine (URE) and Delphi’s previously announced automated driving platform—the Centralized Sensing, Localization and Planning (CSLP) platform which Delphi is developing in partnership with Mobileye. (Earlier post.)

Transdev and Delphi will start collaborating on pilot programs in Paris-Saclay and Rouen (Normandy) France, as the first EU driverless, on-demand mobility service on an open road.

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International team uncovers mechanisms of VW, Fiat software defeat device code

May 24, 2017

An international team of researchers has uncovered the mechanisms of two families of software defeat devices for diesel engines: one used by the Volkswagen Group to pass emissions tests in the US and Europe, and a second found in Fiat Chrysler Automobiles. To carry out the analysis, the team developed new static analysis firmware forensics techniques necessary automatically to identify defeat devices and confirm their function.

After testing some 900 firmware images, the researchers were able to detect a potential defeat device in more than 400 firmware images spanning eight years. Both the Volkswagen and Fiat vehicles use the EDC17 diesel ECU manufactured by Bosch, the researchers noted. Using a combination of manual reverse engineering of binary firmware images and insights obtained from manufacturer technical documentation traded in the performance tuner community, the researchers identified the defeat devices used, how the devices inferred when the vehicle was under test, and how that inference was used to change engine behavior. “Notably,” the team wrote in a paper presented at the 38th IEEE Symposium on Security and Privacy this week, “we find strong evidence that both defeat devices were created by Bosch and then enabled by Volkswagen and Fiat for their respective vehicles.

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BMW Group, Intel and Mobileye bringing Delphi in as partner in autonomous driving platform work

May 16, 2017

The BMW Group, Intel and Mobileye will bring Delphi onboard as a development partner and system integrator for the autonomous driving platform currently under development. The common platform is intended to address level 3 to level 5 automated driving and will be made available to multiple car vendors and other industries who could benefit from autonomous machines and deep machine learning. (Earlier post.)

The four partners intend to jointly deploy a cooperation model to deliver and scale the developed solutions to the broader OEM automotive industry and potentially other industries.

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NVIDIA and Toyota collaborate to accelerate market introduction of autonomous cars; new Volta GPU architecture

May 10, 2017

NVIDIA is collaborating with Toyota to deliver artificial intelligence hardware and software technologies that will enhance the capabilities of autonomous driving systems planned for market introduction within the next few years.

Toyota will use the NVIDIA DRIVE PX AI car computer platform (earlier post) to power advanced autonomous driving systems planned for market introduction. Engineering teams from the two companies are already developing software on NVIDIA’s platform that will enhance the capabilities of Toyota vehicles, enabling them to better understand the massive volume of data generated by sensors on the car, and to handle the broad spectrum of autonomous driving situations.

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Waymo adding 500 more Chrysler Pacifica Hybrid Minivans to self-driving program; early rider program

April 25, 2017

Waymo (formerly the Google self-driving car project) will add an additional 500 Chrysler Pacifica Hybrid minivans (earlier post) to expand its self-driving program. FCA previously delivered 100 minivans, modified for self-driving, to Waymo during the second half of 2016. (Earlier post.) Production of the additional 500 minivans will ramp up beginning next month. Waymo will then outfit these vehicles with its self-driving technology.

Waymo also is inviting members of the public to use its fleet of self-driving vehicles for everyday travel. Waymo’s early rider program will give selected Phoenix residents the opportunity to experience the self-driving Chrysler Pacifica Hybrid minivans for the first time at no charge.

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Clemson research developing integrated modeling and control systems to reduce particulates from GDI engines

April 21, 2017

Simona Onori, an assistant professor at Clemson University, has received a $500,000 Faculty Early Career Development Program (CAREER) award from the National Science Foundation to advance her work to develop integrated modeling and control for aftertreatment systems to reduce fine-particle emissions from gasoline direct injection (GDI) engines.

GDI engines now account for about 60% of the US market, and their use worldwide is forecast to grow. GDI engines have better fuel economy and lower carbon-dioxide emissions than more conventional port fuel injection engines; however, the technology results in higher fine-particle emissions. The research Onori and her team are doing focuses on gasoline particulate filters (GPF). While the dynamics of diesel engine particulate filters (DPF) are well understood, particulates produced in GDI engines have substantially different characteristics.

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Dongfeng Motor to use Visteon SmartCore cockpit domain controller; third SmartCore win

China’s second largest vehicle manufacturer, Dongfeng Motor, has selected Visteon’s SmartCore cockpit domain controller technology (earlier post) for a future domestic Chinese light vehicle program. This will be Visteon’s first SmartCore application in China, the company’s largest market and the world’s biggest automotive market.

With the average number of ECUs in high-end vehicles more than doubling over the past decade, it is essential to more efficiently manage the increasing cost and complexity of in-vehicle electronics. (Earlier post.) SmartCore combines previously separate instrument clusters, head-up displays (HUD) and advanced driver assistance system (ADAS) domains on a one-chip, multi-domain controller featuring a single integrated human-machine interface (HMI)..

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Renesas introduces “autonomy” open platform for ADAS and automated driving

April 11, 2017

Renesas Electronics Corporation launched Renesas “autonomy”, a new advanced driving assistance systems (ADAS) and automated driving platform. As the first product under the new autonomy platform, Renesas released the R-Car V3M high-performance image recognition system-on-chip (SoC) optimized primarily for use in smart camera applications, as well as surround view systems or even LiDARs.

The new R-Car V3M SoC complies with the ISO 26262 functional safety standard, delivers low-power hardware acceleration for vision processing, and is equipped with a built-in image signal processor (ISP), freeing up board space and reducing system manufacturers’ system costs. Renesas is exhibiting its first Renesas autonomy demonstrator, developed based on the new R-Car V3M SoC, at DevCon Japan in Tokyo.

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Continental developing Road Condition Observer for active safety

April 04, 2017

Continental is developing a new system called Road Condition Observer that uses vehicle sensors and cloud data to classify a road surface as dry, wet, covered with snow or icy and to assess the grip of the road surface.

This knowledge, in turn, allows the vehicle to adjust the functions of advanced driver assistance systems to the actual road conditions, said Bernd Hartmann, Head of the Enhanced ADAS (Advanced Driver Assistance Systems) & Tire Interactions project group within the Advanced Engineering department of Continental’s Chassis & Safety division.

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Bosch and Daimler partner to develop Level 4, 5 autonomous driving systems

Bosch and Daimler are collaborating to advance the development of fully automated and driverless driving. The two companies have entered into a development agreement to bring fully automated (SAE Level 4) and driverless (SAE Level 5) driving to urban roads by the beginning of the next decade. The objective is to develop software and algorithms for an autonomous driving system.

The prime objective of the project is to achieve the production-ready development of a driving system which will allow cars to drive fully autonomously in the city. The idea behind it is that the vehicle should come to the driver rather than the other way round. Within a specified area of town, customers will be able to order an automated shared car via their smartphone. The vehicle will then make its way autonomously to the user and the onward journey can commence.

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IBM patents cognitive system to manage self-driving vehicles

March 31, 2017

IBM scientists have been granted a patent around a machine learning system that can dynamically shift control of an autonomous vehicle between a human driver and a vehicle control processor in the event of a potential emergency, providing a safety measure that can contribute to accident prevention.

IBM researchers developed the patented system using their understanding of biological cognition and behavior generation in the brain. Their background as computational neuroscientists led the inventors to devise a cognitive model and technique that employs sensors and artificial intelligence to dynamically determine potential safety concerns and control whether self-driving vehicles are operated autonomously or by relinquishing control to a human driver.

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NASA’s hybrid computer enables Raven’s autonomous docking capability

March 22, 2017

A hybrid computing system developed at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, is the enabling technology behind an ambitious experiment testing a relative navigation and autonomous docking capability known as Raven.

Developed by the Satellite Servicing Projects Division (SSPD) the carry-on luggage-sized module was launched 19 February aboard SpaceX’s Dragon spacecraft, along with other experiments deployed outside the International Space Station on an experiment pallet. Raven is testing and maturing visible, infrared and LiDAR sensors and machine-vision algorithms; the module will bring NASA one step closer to realizing a groundbreaking autopilot capability that can be applied to many NASA missions for decades to come.

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Elektrobit adds four new software modules to EB robinos framework for developing automated driving systems

March 21, 2017

Elektrobit (EB), a leading developer of embedded and connected technology solutions for the automotive industry, introduced four new modules for its EB robinos product line: EB robinos Grid Fusion, EB robinos Path Planning, EB robinos Positioning and EB robinos Safety Management. These modules enable automakers and automotive suppliers to add functionalities for Highly Automated Driving (HAD) applications including automated parking, highway driving and lane keeping.

Announced in 2016, EB robinos is a hardware-agnostic framework that enables carmakers and automotive suppliers to develop and bring to market increasingly automated driving features and manage the complexity of advanced in-car systems. It defines an application-layer architecture for advanced driver assistance systems (ADAS) up to SAE level 5 automated driving.

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Silicon Mobility introduces new software library and app for optimizing EV, HEV efficiency, battery range and charging speed

March 13, 2017

France-based Silicon Mobility, a provider of semiconductor control solutions for electric motors, battery and energy management systems of hybrid and electric vehicles, introduced a software library (OLEA LIB) and an application (OLEA APP) optimized for its OLEA chips to increase the energy efficiency, the battery range and the charging speed for hybrid and electric vehicles.

OLEA is Silicon Mobility’s family of standard products for automotive applications. OLEA embeds Silicon Mobility’s technologies: AMEC, hardware flexible interface for real-time data processing and deterministic control of actuators and sensors and SILant, functional safety acceleration unit for detecting, containing, correcting and protecting against system faults.

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Intel to acquire Mobileye for $15.3 billion; targeting autonomous driving

Intel Corporation announced a definitive agreement under which Intel would acquire Mobileye, a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver assistance systems and autonomous driving. A subsidiary of Intel will commence a tender offer to acquire all of the issued and outstanding ordinary shares of Mobileye for $63.54 per share in cash, representing an equity value of approximately $15.3 billion and an enterprise value of $14.7 billion.

The combination is expected to accelerate innovation for the automotive industry and position Intel as a leading technology provider in the fast-growing market for highly and fully autonomous vehicles.

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Eaton introduces eVaptive electronic fuel tank venting system; reduced cost, complexity

March 02, 2017

Power management company Eaton introduced its new eVaptive electronically controlled fuel tank vapor venting system that can be optimized for any vehicle platform, eliminating the need for automakers to design unique venting systems for different vehicles.

The eVaptive system uses software to control the transmission of fuel vapors to a charcoal canister while keeping liquid fuel confined to the fuel tank. For any given fuel tank application, the system can be optimized for all driving situations as well as stationary and refueling modes. The hardware is a “one-size-fits-all” unit that can be programmed to fit any vehicle platform.

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Volkswagen names Infineon first partner under TRANSFORM 2025+ strategy

March 01, 2017

Germany-based semiconductor supplier Infineon is Volkswagen’s first partner under its TRANSFORM 2025+ strategy (earlier post). Under the new partnership, Volkswagen will further intensify its direct dialogue with Infineon in order to define the requirements for future semiconductor solutions and thus pursue new joint development approaches.

A modern automobile is equipped with as many as 100 networked electronic control units (ECUs) and thousands of electronic components. Powerful ECUs ensure outstanding driving comfort and safety. They operate and regulate everything from the air conditioning system to the interior and exterior lighting systems, the adaptive cruise control radar and a whole range of driver assistance systems. Thus, a significant part of all vehicle innovations is based on electronic systems.

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Honda forming new R&D operation for “new value” areas: robotics, mobility systems and energy management

February 28, 2017

Honda R&D Co., Ltd., the R&D subsidiary of Honda Motor Co., Ltd., plans to create “R&D Center X,” a new research and development operation within the company, which will assume responsibility for “new value” areas that include robotics technology, mobility system and energy management, etc. The official establishment of R&D Center X will take place in April.

Honda has decided that evolving digital technologies such as artificial intelligence and “big data” offer potential for value creation in a wider range of fields beyond its current field of businesses. To address this opportunity, Honda R&D Center X will take a “non-traditional” approach to assume responsibility for the research and development in “new value” areas.

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ARPA-E awards SwRI-led team up to $2.9M for connected and automated vehicle technology; NEXTCAR program

February 14, 2017

A team led by Southwest Research Institute (SwRI) has been awarded up to $2.9 million in funding to develop connected and automated vehicle (CAV) technologies aimed at improving fuel economy by more than 20%. The project is part of ARPA-E’s Next-Generation Energy Technologies for Connected and Autonomous On-Road Vehicles (NEXTCAR) program. (Earlier post.)s

The three-year project, “Model Predictive Control for Energy-Efficient Maneuvering of Connected and Automated Vehicles,” calls for the team to develop optimal control algorithms that leverage vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and other vehicle-to- everything (V2X) technologies to simultaneously optimize the vehicle’s route, speed profile, and power flows from the hybrid system.

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OpenSynergy developing automotive safety hypervisor for ARM Cortex-R52

January 28, 2017

OpenSynergy, a developer of embedded automotive software for in-car cockpit solutions, is developing the industry’s first software hypervisor for the ARM Cortex-R52 processor, ARM’s most advanced real-time safety processor. The hypervisor turns any chip based on the Cortex-R52 into several virtual machines capable of simultaneously executing separate software tasks.

The hypervisor technology enables several real-time operating systems and AUTOSAR systems at different ASIL levels to run in parallel on the Cortex-R52.

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NTU and NXP Semiconductors launch Singapore’s first Smart Mobility consortium; testing V2X on NTU campus

January 19, 2017

Nanyang Technological University, Singapore (NTU Singapore) and NXP Semiconductors have launched Singapore’s first Smart Mobility Consortium to focus on testing and developing smart mobility technologies. The technologies will be tested on the NTU campus, which serves as a living test bed, bringing together 12 industry partners to form the NTU-NXP Smart Mobility Consortium.

The 12 companies bring together their different expertise from the V2X (vehicle-to-everything) communications innovation ecosystem, such as wireless communication design, data analytics and network security. The industry partners include Panasonic, software multinational Red Hat, automotive system manufacturers Schaeffler and Denso, as well as ST Kinetics, the land systems and speciality vehicles arm of ST Engineering.

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UCR team’s new evolutionary-algorithm-based EMS for PHEVs can deliver >30% fuel savings than conventional controls

January 11, 2017

Engineers at the University of California, Riverside (UCR) have developed a new online energy management system (EMS) based on an evolutionary algorithm for plug-in hybrid vehicles (PHEVs) that they say can improve PHEV fuel efficiency by more than 30%. A paper describing the research was recently accepted for publication in the journal IEEE Transactions on Intelligent Transportation Systems.

PHEVs, which combine an internal combustion engine (ICE) with an electric motor and a large rechargeable battery, offer advantages over conventional hybrids because they can be charged using grid electricity, which reduces their need for fuel. However, improving the efficiency of current PHEVs is limited by shortfalls in their energy management systems (EMS), which control the power split between engine and battery when they switch from all-electric mode to hybrid mode.

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Next-gen Audi A8 to feature MIB2+, series debut of zFAS domain controller, Mobileye image recognition with deep learning; Traffic Jam Pilot

January 05, 2017

Audi’s next-generation A8, premiering this year, will feature the first implementation of the MIB2+ (Modular Infotainment Platform). The key element in this new implementation of the MIB is NVIDIA’s Tegra K1 processor (earlier post), which makes new functions possible and has the computing power needed to support several high-resolution displays—including the second-generation Audi virtual cockpit. Onboard and online information will merge, making the car part of the cloud to a greater degree than ever.

The A8 also marks the series debut of the the central driver assistance controller (zFAS), which also features the K1; in the future, the X1 processor (earlier post) will be applied in this domain controller. The zFAS, developed in collaboration with TTTech, Mobileye, NVIDIA and Delphi, also integrates a Mobileye image processing chip. (Earlier post.)

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Renesas Electronics and TTTech deliver highly automated driving platform

Renesas Electronics and TTTech Computertechnik AG, a global leader in robust networking and safety controls, have developed a highly automated driving platform (HADP). The new HADP is a prototype electronic control unit (ECU) for mass production vehicles with integrated software and tools, which demonstrates how to use Renesas and TTTech technologies combined in a true automotive environment for autonomous driving. The HADP accelerates the path to mass production for Tier 1s and OEMs.

The newly released HADP is the first outcome of the collaboration between TTTech and Renesas announced in January 2016 (earlier post), and is an extended version of the HAD solution kit released in October 2016. It is based on dual R-Car H3 system-on-chips (SoCs) (earlier post) and the RH850/P1H-C microcontroller (MCU).

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Audi & NVIDIA partner to deliver fully automated driving with AI starting in 2020; piloted Q7 w/ neural network CES demo

Audi announced a partnership with NVIDIA to use artificial intelligence in delivering highly automated vehicles starting in 2020. Deep learning technology will enable skilled handling of real-road complexities, delivering safer automated vehicles earlier. The first phase of this expanded collaboration between the nearly decade-long partners focuses on NVIDIA DRIVE PX, which uses trained AI neural networks to understand the surrounding environment, and to determine a safe path forward. (Earlier post.)

Audi and NVIDIA have combined their engineering and visual computing technologies in the past on Audi innovations such as Audi MMI navigation and the Audi virtual cockpit. Later this year Audi will introduce the next-generation Audi A8 featuring Traffic Jam Pilot—the world’s first Level 3 automated vehicle (as defined by SAE International) equipped with a first-generation central driver assistance domain controller (zFAS) that integrates NVIDIA computing hardware and software. (Earlier post.)

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BMW, Intel, Mobileye: 40 autonomous BMWs to be on road by 2H 2017; standards-based open platform for autonomy

BMW Group, Intel and Mobileye announced that a fleet of approximately 40 autonomous BMW vehicles will be on the roads by the second half of 2017, demonstrating the significant advancements made by the three companies towards fully autonomous driving. Revealing this at a podium discussion held during a joint press conference at CES, the companies further explained that the BMW 7 Series will employ advanced Intel and Mobileye technologies during global trials starting in the US and Europe.

In July 2016, BMW Group, Intel and Mobileye announced a collaboration to bring solutions for highly and fully automated driving into series production by 2021. The three said they would create a standards-based open platform—from door locks to the datacenter—for the next generation of cars. (Earlier post.) The companies have since developed a scalable architecture that can be adopted by other automotive developers and carmakers to pursue state of the art designs and create differentiated brands. The offerings scale from individual key integrated modules to a complete end-to-end solution providing a wide range of differentiated consumer experiences.

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Panasonic Automotive and IBM partner to develop cognitive vehicle infotainment system with Watson

January 04, 2017

At CES 2017, Panasonic Automotive Systems Company of America introduced the Panasonic Cognitive Infotainment platform designed to provide OEMs and fleet providers a set of cognitive vehicle solutions combining Panasonic’s infotainment expertise with IBM’s Watson and cloud technologies.

The platform leverages Watson cognitive capabilities, including deep natural language processing and understanding, to answer questions and provide recommendations as well as directions while en route. The platform also introduces e-commerce capabilities for convenient in-vehicle purchases to make the most of a driver's time, as well as possible future cognitive driving solutions that monitor the vehicle condition for safer driving.

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Qualcomm introducing Drive Data platform for sensor fusion

Qualcomm is introducing the Qualcomm Drive Data Platform to collect and analyze intelligently information from a vehicle’s sensors. Cars will be able to determine their location up to lane-level accuracy, to monitor and to learn driving patterns, to perceive their surroundings, and to share this reliable and accurate data with the rest of the world.

These capabilities will be key for many connected car applications, from shared mobility and fleet management to 3D high-definition mapping and automated driving. Qualcomm Drive Data platform is built on three pillars: heterogeneous connectivity; precise positioning; and on-device machine learning, all integrated into the Qualcomm Snapdragon solution.

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Qualcomm Automotive Solutions to power next-gen infotainment for Volkswagen vehicles; Snapdragon 820A Processor, Snapdragon X12 & X5 LTE modems

At CES 2017, Qualcomm Technologies, Inc. (QTI), a subsidiary of Qualcomm Incorporated, announced the integration of Qualcomm Technologies chipsets in the next-generation of Volkswagen AG vehicles. These chipsets include the Qualcomm Snapdragon 820A processor (earlier post) for advanced infotainment systems, as well as the Snapdragon X12 and X5 LTE modems, for connected car and telematics systems.

Volkswagen AG vehicles featuring the Snapdragon 820A processor are expected to be available in 2019, while vehicles utilizing Snapdragon X12 and X5 LTE modems are expected to be available in 2018.

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Ford and Toyota establish SmartDeviceLink Consortium to accelerate industry-driven standard for in-vehicle apps

Ford Motor Company and Toyota Motor Company are forming SmartDeviceLink Consortium (SDL), a nonprofit organization working to manage an open-source software platform with the goal of giving consumers more choice in how they connect and control their smartphone apps on the road.

Mazda Motor Corporation, PSA Group, Fuji Heavy Industries Ltd. (FHI) and Suzuki Motor Corporation are the first automaker members of the consortium. Elektrobit, Luxoft, and Xevo join as the first supplier members. Harman and QNX have signed Letters of Intent to join.

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Visteon awarded second SmartCore domain controller program with a European automaker; debuting on global vehicle platform in 2020

January 03, 2017

Visteon Corporation, a leading cockpit electronics supplier, has secured a second major customer vehicle program for its cockpit domain controller technology, SmartCore. (Earlier post.) Visteon is the only supplier offering an automotive-grade, integrated domain controller approach that can independently operate the infotainment system, instrument cluster and potentially other features on one System on Chip (SoC).

Visteon is scheduled to launch the first SmartCore-based solution in 2018, for a European vehicle manufacturer. This second SmartCore business win, also with a European automaker, offers instrument cluster and infotainment features and expands the platform to high-end applications with industry-first 3-D display and augmented reality head-up display capabilities.

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FCA and Google collaborate on a Uconnect system concept powered by Android OS

January 02, 2017

FCA is collaborating with Google on next-generation connected car systems enabled by the power of an open platform and the ecosystem of the Android open-source operating system. At CES 2017 this week, FCA and Google will demonstrate a seamless integration of the Uconnect 8.4-inch connected vehicle system with Android inside a Chrysler 300 sedan.

CES attendees will be able to get one-on-one demonstrations of the Uconnect system powered by the latest version of Android, 7.0 Nougat, which includes core infotainment features such as radio and comfort controls. (This is quite different than Android Auto, which basically uses an Android smartphone to broadcast the Android interface onto the supporting car’s touchscreen.)

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Lucid Motors chooses Mobileye as partner for autonomous vehicle technology

December 30, 2016

Luxury EV developer Lucid Motors and Mobileye N.V. announced a collaboration to enable autonomous driving capability on Lucid vehicles. Lucid will launch its first car, the Lucid Air (earlier post), with a complete sensor set for autonomous driving from day one, including camera, radar and lidar sensors.

Lucid chose Mobileye to provide the primary compute platform, full 8-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localization capability, and reinforcement learning algorithms for Driving Policy. These technologies will enable a full Advanced Driver Assistance System (ADAS) suite at launch, and then enable a logical and safe transition to autonomous driving functionality through over-the-air software updates.

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Automotive Grade Linux releases latest version of open infotainment platform

December 28, 2016

Automotive Grade Linux (AGL) has released the latest version of its infotainment platform. Developed through a joint effort by dozens of member companies, the AGL Unified Code Base (UCB) 3.0 is an open-source infotainment platform positioned as a de facto industry standard.

The goal of the UCB infotainment platform is to provide 70-80% of the starting point for a production project. This enables automakers and suppliers to focus their resources on customizing the other 20-30% to meet their unique product needs. As part of UCB 3.0, AGL is also releasing a software development kit (SDK) that enables rapid application development on the AGL platform. The AGL UCB 3.0 is suited for deploying navigation, communications, safety, security and connectivity. It includes several key features:

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Ford introducing next-gen Fusion Hybrid autonomous development vehicle at CES and NAIAS in January

Ford Motor Company is introducing its next-generation Fusion Hybrid autonomous development vehicle; the car will first appear at CES 2017 and the North American International Auto Show in January. The new vehicle uses the current Ford autonomous vehicle platform, but ups the processing power with new computer hardware.

Electrical controls are closer to production-ready, and adjustments to the sensor technology, including placement, allow the car to better see what’s around it. New LiDAR sensors have a sleeker design and more targeted field of vision, which enables the car to now use just two sensors rather than four, while still getting just as much data.

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U of Waterloo Autonomoose autonomous vehicle on the road in Canada

December 23, 2016

Researchers from the University of Waterloo Center for Automotive Research (WatCAR) in Canada are modifying a Lincoln MKZ Hybrid to autonomous drive-by-wire operation. The research platform, dubbed “Autonomoose” is equipped with a full suite of radar, sonar, lidar, inertial and vision sensors; NVIDIA DRIVE PX 2 AI platform (earlier post) to run a complete autonomous driving system, integrating sensor fusion, path planning, and motion control software; and a custom autonomy software stack being developed at Waterloo as part of the research.

Recently, the Autonomoose autonomously drove a crew of Ontario Ministry of Transportation officials to the podium of a launch event to introduce the first car approved to hit the roads under the province’s automated vehicle pilot program.

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Visteon’s Silicon Valley Technical Center to lead development of AI for autonomous vehicles

December 13, 2016

Visteon Corporation’s new technical center in Silicon Valley will lead the company’s development of artificial intelligence for autonomous vehicles. Visteon’s autonomous vehicle program will apply machine learning technology for accurately detecting and classifying objects in a vehicle’s path and planning the vehicle’s movements, resulting in fully trained driving control systems.

The recently opened facility in Santa Clara, California, will work closely with global Visteon tech centers to develop excellence in artificial intelligence software, advanced driver awareness systems (ADAS) and deep machine learning. These efforts will support Visteon’s approach to autonomous driving, which encompasses three key elements:

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Hyundai Motor accelerating development of its connected car operating system

December 09, 2016

Hyundai Motor is accelerating development of its advanced ccOS (connected car Operating System), the core platform technology for its future connected cars. The software will optimize the high-speed transmission and reception of data within the vehicle to support increasingly complex features that will lead the connected car market.

Hyundai outlined the development of ccOS in November, and has established an Infotainment Software Development Team in its Namyang Research and Development Center dedicated solely to developing ccOS technologies. In November, Hyundai said that ccOS would incorporate open source software including an open In-vehicle Infotainment (IVI) platform of the GENIVI Alliance.

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Delphi & Mobileye to showcase Centralized Sensing Localization and Planning (CSLP) autonomous driving system in public demo at CES 2017

November 30, 2016

Delphi Automotive PLC and Mobileye will showcase their Centralized Sensing Localization and Planning (CSLP) automated driving system—which will be ready for production by 2019—on a 6.3-mile urban and highway combined public route in Las Vegas for CES 2017. (Earlier post.)

The partners said that CSLP is the first turnkey, fully integrated automated driving solution with an industry-leading perception system and computing platform. (Intel will provide the system-on-a-chip (SOC) for the systems.) The Las Vegas drive will tackle everyday driving challenges such as highway merges, congested city streets with pedestrians and cyclists and a tunnel.

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Hyliion developing hybrid system for semi-trailers

November 27, 2016

Hyliion, a start-up founded by a group of graduate students at Carnegie Mellon, has developed an add-on hybrid system for semi-trailers. Combining regenerative braking and power boost for the trailer to reduce on-the-road fuel consumption, the system also functions as an auxiliary power unit to reduce engine-on idling. Their patent application describing the basics of the system was published earlier this month,

The Hyliion System—comprising motor, battery and control electronics—can power a truck cab for 20 hours, out-performing an industry standard, idle-free all-electric APU. Overall fuel savings are upwards of 30%, according the company.

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Volkswagen’s 10-year evolution of Park Assist; heading toward trained parking and higher levels of autonomy

November 26, 2016

Volkswagen first introduced a parking assistance system based on ultrasonic sensors in the early 1990s. However, it was the “Park Assist” Gen 1 system presented in the Touran in 2007 that marked a foundational point in the commercial development of the technology. After it was activated, Park Assist was able to detect parallel parking spaces on the left and right sides of the road as the car passed them using special, side-oriented ultrasonic sensors, enabling semi-automatic parking for the first time.

Volkswagen engineers have continued to enhance the functionality, leading to the release of Gen 3 Park Assist in 2014, with a clear roadmap to the deployment of higher levels of autonomy, including trained parking: fully automated parking with a one-off training process. At a recent visit to Volkswagen’s Ehra proving ground (Prüfgelände Ehra), Green Car Congress had the opportunity to see a prototype of trained parking in action.

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nuTonomy to test its self-driving cars on specific public roads in Boston

November 21, 2016

nuTonomy, developer of software for self-driving cars, has signed a Memorandum of Understanding (MOU) with the City of Boston and the Massachusetts Department of Transportation that authorizes nuTonomy to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston.

nuTonomy will begin testing its self-driving Renault Zoe electric vehicle before the end of the year in the Raymond L. Flynn Marine Park in the Seaport section of the city. nuTonomy outfits its vehicles with a software system which has been integrated with high-performance sensing and computing components to enable safe operation without a driver. The company’s autonomous and robotics technology system grew out of research conducted in MIT labs run by nuTonomy co-founders Karl Iagnemma and Emilio Frazzoli.

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Hyundai introduces new autonomous IONIQ concept at AutoMobility LA

November 16, 2016

Hyundai Motor Company introduced the Autonomous IONIQ concept during its press conference at AutoMobility LA (Los Angeles Auto Show). With a design resembling the rest of the IONIQ lineup (earlier post), the vehicle is one of the few self-driving cars in development to have a LiDAR system hidden in its front bumper instead of installed on the roof, enabling it to look like any other car on the road and not a high school science project.

Hyundai’s goal for the autonomous IONIQ concept was to keep the self-driving systems as simple as possible. This was accomplished by using the production car’s Smart Cruise Control’s forward-facing radar, Lane Keep Assist cameras and integrated them with LiDAR technology.

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Intel to invest more than $250M over next two years in autonomous driving; “Data is the new oil”

November 15, 2016

In a keynote address at the AutoMobility LA conference, Intel CEO Brian Krzanich announced that Intel Capital is targeting more than $250 million of additional new investments over the next two years to make fully autonomous driving a reality. This is the first time Intel is keynoting at an automotive conference, signifying how critical the automotive market has become for the company.

These investments will drive the development of technologies that push the boundaries on next-generation connectivity, communication, context awareness, deep learning, security, safety and more. Drilling down into the areas that will be fueled by the fresh investments, Krzanich highlighted technologies that will drive global Internet of Things (IoT) innovation in transportation; areas where technology can directly mitigate risks while improving safety, mobility, and efficiency at a reduced cost; and companies that harness the value of the data to improve reliability of automated driving systems.

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Rolls-Royce and VTT Technical Research Centre partner to develop remote and autonomous ships

November 14, 2016

Rolls-Royce and VTT Technical Research Centre of Finland Ltd have formed a strategic partnership to design, to test and to validate the first generation of remote and autonomous ships. The new partnership will combine and integrate the two companies’ unique expertise to make such vessels a commercial reality. (Earlier post.)

Rolls-Royce is pioneering the development of remote-controlled and autonomous ships and believes a remote-controlled ship will be in commercial use by the end of the decade. The company is applying technology, skills and experience from across its businesses to this development.

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Renesas Electronics delivers 2nd-gen ADAS view solution kit for surround view, electronic mirrors and driver monitoring for autonomous driving

November 08, 2016

Renesas Electronics Corporation has introduced a new all-in-one Advanced Driver Assistance Systems (ADAS) view solution kit. Expanding the success of the first-generation ADAS surround view kit that was launched in October 2015, Renesas’ second-generation ADAS view solution kit with up to eight cameras realizes next-generation electronic mirrors, driver monitoring and surround view systems at the same time.

It has become a standard in autonomous driving and ADAS applications to enable sensor fusion combining and processing the collected information from automotive cameras and radars for vehicles to recognize their surroundings. 360-degree surround view is expected to become an essential feature available in all vehicle segments. Additionally, mirrors will be replaced by cameras, and driver monitoring features will be required for autonomous driving and to increase safety.

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NXP and DAF Trucks commit to set new benchmark in truck platooning: 30x faster than human reaction time

NXP Semiconductors N.V. and DAF Trucks announced plans to empower truck platoons to react 30 times faster than humans in 2017, enabling a reduced distance between platooning trucks. Achieving this goal would mark a significant milestone in the introduction of platooning to fleet operators who expect considerable efficiency and safety gains while maintaining a maximum level of data security.

In Munich, NXP and its partners are showcasing the progress of secure intelligent transport systems in advance of this year’s electronica show. The demonstrations include platooning live on Munich roads, traffic signal and vehicle synchronization, and technology that protects vulnerable road users based on secure vehicle-to-everything technology (V2X). Platooning promises to increase fuel efficiency up to 10%, improve road safety and reduce exhaust emissions.

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Toshiba advances deep learning with extremely low-power neuromorphic processor; supporting IoT edge devices

November 07, 2016

Toshiba has developed what it calls Time Domain Neural Network (TDNN)—a neural network using a time-domain analog and digital mixed signal processing technique—based on a new, extremely low-power consumption neuromorphic semiconductor circuit to perform processing for Deep Learning. (The acronym TDNN (time-delay neural network) is also used broadly to describe feed-forward neural networks, first described in a 1989 paper (Waibel et al.).

Deep learning—as could be applied, for example, in autonomous driving—requires massive numbers of calculations, typically executed on high performance processors that consume a lot of power. However, bringing the power of deep learning to IoT edge devices such as sensors and smart phones requires highly energy-efficient ICs that can perform the large number of required operations while consuming extremely little energy.

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Infineon introduces new switch family supporting trend towards decentralized intelligent vehicle power net

November 04, 2016

Infineon Technologies AG is supporting the trend towards decentralized, intelligent and cost-effective vehicle power net architectures. Infineon now launched Power PROFET, a new ultra-low ohmic smart high-side switch family. These protected switches offer the lowest on-resistance and the highest energy capability on the market. They enable the replacement of electromechanical relays and fuses in power distribution and junction boxes up to 40A DC.

At the system level, Power PROFET switches enable a more accurate system sizing. Also, they simplify significantly the wire harness architecture by reducing the lengths of many wires or removing them completely.

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BlackBerry signs agreement with Ford for expanded use of BlackBerry’s QNX and security software

November 02, 2016

BlackBerry Limited has signed an agreement with Ford Motor Company for expanded use of BlackBerry’s QNX and security software. The deal signifies an acceleration in BlackBerry’s pivot from hardware to software in support of the automaker’s goal of providing connected vehicles and mobility to its customers.

As part of this agreement, BlackBerry will dedicate a team to work with Ford on expanding the use of BlackBerry’s QNX Neutrino Operating System, Certicom security technology, QNX hypervisor and QNX audio processing software. The terms of the deal are confidential.

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Qualcomm to acquire NXP for ~$38B; semiconductor engine for connected world

October 27, 2016

Qualcomm Incorporated will acquire NXP Semiconductors with an equity offer worth some $38 billion; including debt, the deal is worth roughly $47 billion. The boards of directors of both companies unanimously approved the definitive agreement.

NXP is a leader in high-performance, mixed-signal semiconductor electronics, with innovative products and solutions and leadership positions in automotive, broad-based microcontrollers, secure identification, network processing and RF power. As a leading semiconductor solutions supplier to the automotive industry, NXP also has leading positions in automotive infotainment, networking and safety systems, with solutions designed into 14 of the top 15 infotainment customers in 2016. NXP has a broad customer base, serving more than 25,000 customers through its direct sales channel and global network of distribution channel partners.

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Intel introducing new processor series dedicated for automotive applications

October 26, 2016

Intel is developing a new processor series dedicated for automotive applications. The A3900 series will enable a complete software-defined cockpit solution that incudes in-vehicle infotainment (IVI), digital instrument clusters and advanced driver assistance systems (ADAS)—all in a single, compact and cost-effective SoC.

Intel announced the new automotive processor family along with its introduction of the new Intel Atom processor E3900 series for the Internet of Things (IoT). The A3900 series will allow car makers to offer new levels of determinism for real-time decision-making required in next-generation cars. It is currently sampling with customers and will be available in Q1 2017.

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Infineon launches next gen AURIX hexa-core microcontroller for automotive applications; 3x more performance than current

October 24, 2016

Infineon Technologies AG launched the next generation of its AURIX microcontroller family. The TC3xx microcontrollers offer the highest level of integration on the market and real-time performance that is three times higher than that available today.

With a high-performing hexa-core architecture and advanced features for connectivity, security and embedded safety, the AURIX family TC3xx is suited for a wide field of automotive applications. In addition to engine management and transmission control, powertrain applications include new systems in electrical and hybrid drives. Specifically hybrid domain control, inverter control, battery management, and DC-DC converters will benefit from the new architecture.

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Tesla putting hardware for full autonomy in all models; temporary loss of some Gen1 Autopilot functions

October 20, 2016

Tesla announced that effective immediately, new Tesla vehicles—including Model 3—will have the hardware needed to support full autonomous driving.

The required software for full autonomous driving is still under development and will need validation and regulatory approval. In fact, Teslas with the new hardware will temporarily lack certain features currently available on Teslas with first-generation Autopilot hardware, including some standard safety features such as automatic emergency braking, collision warning, lane holding and active cruise control.

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Infineon and Argus demonstrate cyber security solution for connected and automated cars; central gateway protection

October 19, 2016

At the VDI Kongress in Baden-Baden this week, Infineon Technologies AG and cyber security company Argus will demonstrate an integrated cyber security solution for connected and autonomous vehicles. The system is based on an Infineon AURIX multicore microcontroller with the Intrusion Detection and Prevention System (IDPS) and remote cloud platform from Argus. At the heart of a vehicle’s central gateway, the cyber security solution protects the vehicle’s internal network from remote cyber-attacks.

The central gateway is crucial in the automotive security architecture. It interconnects all electronic control units (ECU) of in-vehicle domains, such as those used in the powertrain, driver assistance, chassis, as well as body and convenience control. The central gateway routes and controls the complete data communication between the ECUs. In addition, it is the central access point for software updates over the air (SOTA) and for diagnostics processes and maintenance updates via the On-Board Diagnostics (OBD) port.

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Renesas Electronics delivers highly automated driving solution kit to accelerate development of autonomous vehicles

Renesas Electronics Corporation announced a highly automated driving (HAD) solution kit that delivers high computing performance targeted at automotive functional safety to reduce development time of electronic control units (ECUs).

The HAD solution kit is based on two Renesas R-Car H3 Starter Kit Premier and the automotive control RH850/P1H-C microcontroller (MCU), and is compliant with both ISO 26262 ASIL-B functionality safety standard and ISO 26262 ASIL-D standard. Each ASIL (Automotive Safety Integrity Level) stipulates requirements under the ISO 26262 functional safety standard and safety measures for avoiding unacceptable residual risk. There are four safety levels, A to D, with ASIL-D being the strictest.

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NASA to test in-flight folding spanwise adaptive wing (SAW) to enhance aircraft efficiency; advanced actuators

October 18, 2016

NASA is developing and validating a system that will allow part of an aircraft’s wing to fold in flight to increase efficiency through wing adaptation.

Engineers at NASA’s Armstrong Flight Research Center in California, Langley Research Center in Virginia, and Glenn Research Center in Ohio, are working on the Spanwise Adaptive Wing concept, or SAW. The concept would permit the outboard portions of the wings to move to the optimal position during operation. This could increase efficiency by reducing drag and increasing lift and performance.

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DENSO & Toshiba partner on Deep Neural Network-IP for image recognition systems for ADAS & automated driving

October 17, 2016

DENSO Corporation and Toshiba Corporation have reached a basic agreement jointly to develop an artificial intelligence technology called Deep Neural Network-Intellectual Property (DNN-IP), which will be used in image recognition systems which have been independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies.

The partners expect DNN, an algorithm modeled after the neural networks of the human brain, to perform recognition processing as accurately as, or even better, the human brain.

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Autonomous vehicle tech company Nauto enters strategic relationships with 3 automakers, including BMW and Toyota, and Allianz

October 08, 2016

Autonomous vehicle technology company Nauto has entered into strategic agreements with three major auto companies, including BMW i Ventures and Toyota Research Institute, as well as with Allianz Ventures, part of the leading global financial service provider and insurance company Allianz Group.

These companies have invested in Nauto and are working with the company on autonomous vehicle development using the Nauto cloud-based data learning platform. Nauto’s deep-learning technology also runs on retrofit devices that can be mounted in any vehicle.

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DENSO invests in deep learning and vision processing startup THINCI; vision processing and deep learning for automotive

October 06, 2016

DENSO International America, Inc. has entered into an investment agreement with THINCI Inc., a deep-learning, vision processing startup developing innovative machine learning technology that enables the application of deep learning and vision processing in the automotive industry.

With this investment, DENSO is looking to accelerate the final development and integration of THINCI’s silicon and software technology into electronic systems that help enable driver assistance and autonomous driving, improve the efficiency of thermal systems, and optimize the productivity of the vehicle’s powertrain.

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OmniVision introduces OV491 and OV495 companion chips for automotive image processing applications

September 19, 2016

OmniVision Technologies, Inc., a developer of advanced digital imaging solutions, is introducing the OV491 and OV495, two new companion chips that deliver performance and advanced features in combination with OmniVision’s portfolio of automotive RAW image sensors.

The OV491 is a compact image signal processor (ISP) companion chip specified to enable best-in-class image quality in surround view system architectures. The OV495 contains the same ISP features but is also equipped with electronic distortion and perspective correction, making it suited for rear video mirror and camera monitor system (CMS) applications. The OV491 and OV495 are both compatible with OmniVision’s OV2775, OV10650, and OV10640 automotive image sensors.

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Silicon Mobility introduces OLEA T222 for hybrid and electric powertrain control

France-based semiconductor fabless company Silicon Mobility has introduced OLEA T222, its new solution dedicated for hybrid and electric powertrain control. OLEA T222 is a new member of the OLEA family, the first automotive microcontrollers with embedded, robust and secured programmable logic.

Silicon Mobility says that OLEA T222’s flexibility, hard-real time parallel processing and safe architecture makes it suited to control all flavors of hybridization—micro-, mild- or full-, including Integrated Belt Starter Generator (i-BSG); Crankshaft Motor driven Generator (CMG); Gearbox Motor driven Generator (GMG); in-wheel Motor or in-axle Motor; DC/DC converter; as well as full electric powertrains.

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Cypress sampling new Traveo MCU solutions for secure, high-speed networking for automotive body electronics

Cypress Semiconductor Corp. is sampling new devices in its single-power-supply Traveo automotive microcontroller (MCU) family that provide secure, high-speed networking for body electronics applications.

The new S6J342xxx series supports the Controller Area Network Flexible Data-rate (CAN FD) standard for high-speed, in-vehicle networking, enabling large amounts of data to be exchanged between each CAN node. The MCUs address the critical need to secure data on in-vehicle networks with enhanced Secure Hardware Extension (eSHE) support, preventing unauthorized connections to electronic control units (ECUs).

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Renesas to acquire Intersil for ~$3.2B; looking to lead in automotive, industrial, IoT system solutions

September 14, 2016

Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, and Intersil Corporation, a leading provider of innovative power management and precision analog solutions, signed a definitive agreement for Renesas to acquire Intersil for US$22.50 per share in cash, representing an aggregate equity value of approximately US$3.2 billion. The transaction has been unanimously approved by the boards of directors of both companies. Closing of the transaction is expected in the first half of 2017, following approval by Intersil shareholders and the relevant governmental authorities.

Together, Renesas’ and Intersil’s deep expertise across a number of technologies and end markets will enable the combined company to become a complete solution provider of embedded systems to customers. By combining Renesas’ market-proven microcontroller (MCU) and system-on-chip (SoC) products and technologies and Intersil’s leading power management and precision analog capability, Renesas will be well positioned to address some of the most exciting opportunities in key areas such as automotive, industrial, cloud computing, healthcare, and the Internet of Things (IoT).

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NVIDIA unveils single-processor configuration of DRIVE PX 2 for AutoCruise functions; Baidu deploying

September 13, 2016

NVIDIA unveiled a single-processor configuration of the NVIDIA DRIVE PX 2 AI computing platform (earlier post) that automakers can use to power automated and autonomous vehicles for driving and mapping.

The new computing platform for AutoCruise functions—which include highway automated driving and HD mapping—consumes just 10 watts of power and enables vehicles to use deep neural networks to process data from multiple cameras and sensors. It will be deployed by China’s Baidu as the in-vehicle car computer for its self-driving cloud-to-car system.

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Tesla leans on radar for Autopilot in Version 8 software

September 12, 2016

With the release of Version 8 of its software, Tesla has made many updates to its Autopilot function. The most significant change however, is its new heavy reliance on the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite, but originally was only meant to be a supplementary sensor to the primary camera and image processing system.

Now, however, Tesla is using more advanced signal processing to use the radar as a primary control sensor without requiring the camera to confirm visual image recognition. The changes come in the wake of the fatal crash (earlier post) in which Autopilot apparently did not detect the white side of the trailer against a brightly lit sky; nor did the driver. As a result, no brake was applied. In the aftermath of that incident, Tesla CEO Elon Musk tweeted that the company was “Working on using existing Tesla radar by itself (decoupled from camera) w temporal smoothing to create a coarse point cloud, like lidar”. (Earlier post.)

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DENSO looks to increase holding in FUJITSU TEN, making it a group company

September 10, 2016

Auto parts supplier DENSO Corporation, Fujitsu Limited, and Toyota Motor Corporation have reached a basic agreement to start consideration of changing the capital structure of automotive electronics manufacturer FUJITSU TEN, in which the three companies have stakes. DENSO is part of the Toyota Group.

In the automotive field, the interface between the driver and vehicle is becoming increasingly important due to remarkable technological innovations. Against this backdrop, DENSO has agreed with Fujitsu and Toyota to review specific changes to make FUJITSU TEN a group company of DENSO and to enhance cooperation between the two companies in developing in-vehicle ECUs, millimeter-wave radar (earlier post), advanced driver assistance / automated driving technologies, and basic electronic technologies, among others.

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NSF awards $4.6M to improve human control of automated cars, drones

September 08, 2016

NSF has awarded (Award Nº 1545126) $4.6 million to a team led by UC Berkeley exploring human cyber-physical systems (h-CPS)—systems that operate in concert with human operators—with the aim of improving the interaction between humans, computers and the physical world. The research outcome of the project, called Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems, or VeHICaL, will have applications in emerging technologies such as semi-autonomous cars and autonomous aerial vehicles (drones).

The award was part of a total of $13 million NSF awarded to three five-year “Frontier” projects to advance cyber-physical systems (CPS). The other two projects are tackling monitoring and mitigating noise pollution in cities and quickly identifying and overcoming problems in manufacturing environments.

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Volvo Cars and Autoliv to create joint venture for next-gen autonomous driving software

September 06, 2016

Volvo Cars and Autoliv have signed a letter of intent to set up a new jointly-owned company to develop next-generation autonomous driving software. The planned new company will have its headquarters in Gothenburg, Sweden, and an initial workforce taken from both companies of around 200, increasing to over 600 in the medium term. The company is expected to start operations in the beginning of 2017.

The new company, which has yet to be named, will develop advanced driver assistance systems (ADAS) and autonomous drive (AD) systems for use in Volvo cars and for sale exclusively by Autoliv to all car makers globally, with revenues shared by both companies.

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Renesas Electronics and TSMC announce 28nm MCU collaboration for next-generation green and autonomous vehicles

September 02, 2016

Renesas Electronics Corporation and TSMC are collaborating on 28nm (nanometer) embedded flash (eFlash) process technology for manufacturing microcontrollers (MCUs) targeted at next-generation green and autonomous vehicles. The automotive MCUs employing this new 28nm process technology are slated for sample shipment and mass production in 2017 and 2020, respectively.

More specifically, Renesas’ reliable and fast Metal-Oxide-Nitride-Oxide-Silicon (MONOS) eFlash technology will combine with TSMC’s high-performance, low-power 28nm high-K metal gate process technology to produce automotive MCUs for a broader range of applications such as autonomous vehicle sensor control; coordinated control among electronic control units (ECUs); fuel-efficient engine control for green vehicles; and highly efficient motor inverter control for electric vehicles.

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Baidu and NVIDIA team up on cloud-to-car platform for self-driving cars; HD maps, Level 3 control, automated parking

September 01, 2016

At the Baidu World Conference in Beijing, Baidu CEO Robin Li together with NVIDIA CEO Jen-Hsun Huang announced a partnership to use artificial intelligence (AI) in the creation of a cloud-to-car autonomous car platform for local Chinese and global car makers.

NVIDIA and Baidu have a long history of working together on AI. The latest addition to their partnership will combine Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control and automated parking.

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ORNL team presents solution for coordinating connected and automated vehicles at merging roadways; reduced fuel consumption and travel time

August 29, 2016

A team of researchers at Oak Ridge National Laboratory (ORNL) has developed an optimization framework and an analytical closed-form solution that addresses the problem of optimally coordinating connected and automated vehicles (CAVs) at merging roadways to achieve smooth traffic flow without stop-and-go driving.

They validated the effectiveness of the efficiency of their proposed solution through a simulation, showing that coordination of vehicles can significantly reduce both fuel consumption and travel time. A paper on the work is published in IEEE Transactions On Intelligent Transportation Systems.

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NVIDIA dives into Parker mobile processor for next generation of autonomous vehicles

August 23, 2016

Speaking at the Hot Chips conference in Cupertino, California, NVIDIA revealed the architecture and underlying technology of its new Parker processor, which is suited for automotive applications such as self-driving cars and digital cockpits. Hot Chips, a symposium on high performance chips, is sponsored by the IEEE Technical Committee on Microprocessors and Microcomputers in cooperation with ACM SIGARCH.

NVIDIA mentioned Parker at CES 2016 earlier this year, when it introduced the NVIDIA DRIVE PX 2 platform (earlier post). That platform uses two Parker processors and two Pascal architecture-based GPUs to power deep learning applications.

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Mobileye and Delphi to partner on SAE Level 4/5 automated driving solution for 2019

Mobileye and Delphi Automotive PLC are partnering to develop a complete SAE Level 4/5 automated driving solution. The program will result in an end-to-end production-intent fully automated vehicle solution, with the level of performance and functional safety required for rapid integration into diverse vehicle platforms for a range of customers worldwide.

The partners’ “Central Sensing Localization and Planning” (CSLP) platform will be demonstrated in combined urban and highway driving at the 2017 Consumer Electronics Show in Las Vegas and production ready for 2019.

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ABI Research: highly automated driving to spark adoption of centralized advanced driver assistance systems

August 17, 2016

As vehicles become highly independent and begin to drive and react to traffic on their own, autonomous systems will aggregate and process data from a variety of on-board sensors and connected infrastructure. This will force the industry to hit a hard reset on advanced driver assistance systems (ADAS) architectures, currently dominated by distributed processing and smart sensors.

Automotive OEMs will need to adopt new platforms based on powerful, centralized processors and high-speed low latency networking (e.g., Audi zFAS, earlier post). ABI Research forecasts 13 million vehicles with centralized ADAS platforms will ship in 2025.

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KBA approves Volkswagen’s fix for 1.2-liter EA189 TDI diesel engine

August 14, 2016

Germany’s Federal Motor Transport Authority (KBA) has approved the technical emissions-control solution—a software update—for vehicles with the 1.2-liter EA189 TDI diesel engine. The KBA approval applies to 460,000 vehicles of affected Group brands, including the Volkswagen Polo and SEAT Ibiza models.

The software update can now be promptly carried out on the first vehicles of the second affected engine-size category. The owners of these models are being successively informed and can then make an early appointment with an authorised workshop to have the update done.

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Toyota Research Institute invests $22M in research on AI, robotics and autonomous driving at University of Michigan

August 10, 2016

Toyota Research Institute (TRI) (earlier post) is making a $22-million investment in research focused on artificial intelligence, robotics and autonomous driving at the University of Michigan (U-M). TRI- CEO Gill Pratt made the announcement in an address to the U-M faculty.

Under the agreement, TRI will provide an initial $22 million over four years for research collaborations with the U-M faculty in the areas of enhanced driving safety, partner robotics and indoor mobility, autonomous driving and student learning and diversity.

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Panasonic acquires German software company OpenSynergy; virtualization for integrated cockpit solutions

August 09, 2016

Panasonic Corporation has acquired all the outstanding shares of the German software company OpenSynergy GmbH, making it a subsidiary. OpenSynergy specializes in embedded automotive software for cockpit solutions; it products enable the convergence of instrument clusters, head units, advanced driver assistance systems, and car connectivity systems.

A current cockpit system is controlled by different systems: one handles multimedia functions such as navigation and audio; another for driver support functions such as warning signals on head-up display. To integrate such different functions going forward, and to provide a better and intuitively easier driving support, system integration needs to be achieved from the operating system level, Panasonic said.

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Fujitsu develops technology to enable high-speed deep learning

Fujitsu Laboratories Ltd. has developed software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parallelization technology. This newly developed technology was implemented in the Caffe deep learning framework, where, in a test measuring learning time using AlexNet on 64 GPU-equipped computers, it achieved a learning speed that is 27 times faster than a single GPU.

Compared with before this technology was applied, it achieved learning speed improvements of 46% for 16 GPUs and 71% for 64 GPUs (according to internal comparisons). Using this technology, the time required for deep learning R&D can be shortened, such as in the development of unique neural network models for the autonomous control of robots, automobiles, and so forth, or for healthcare and finance, such as with pathology classification or stock price forecasting, enabling the development of higher-quality models.

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Oxbotica launches Selenium mobile autonomy software

July 23, 2016

Oxbotica, a spin-out from Oxford University’s Mobile Robotics Group, launched its new Selenium mobile autonomy software solution with a purpose-built concept vehicle named Geni.

Selenium can work in pedestrianized environments as well as roads and motorways, and is not reliant on GPS to operate—i.e., it can easily transition between indoor and outdoor settings, over ground or underground. The system has been developed to be “vehicle agnostic”—it can be applied to cars, self-driving pods (e.g. for campuses and airports), and warehouse truck fleets.

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TTTech using VectorCAST platform for development of Audi zFAS to ISO 26262 ASIL-D compliance; domain controller for piloted driving

July 15, 2016

TTTech Computertechnik AG (TTTech) has selected Vector Software’s VectorCAST software test automation platform for use within TTTech’s development of Audi’s zFAS (zentrales Fahrerassistenzsteuergerät)—the domain controller for Audi piloted driving systems. (Earlier post.) VectorCAST provides TTTech with the tools necessary to ensure ISO 26262 compliance up to ASIL D level on all microcontrollers used in zFAS.

Under the guidance of Audi AG, TTTech developed the zFAS electronic control unit (ECU) that integrates various functionalities of advanced driver assistance systems (ADAS). The ECU uses numerous technology components from TTTech for various automotive assistance functions, such as piloted parking or autonomous driving.

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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.

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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.

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