4D lidar chip holds promise of mass scale autonomous vehicles

The Aeries frequency modulated continuous wave (FMCW) lidar-on-chip sensing system provides high range performance and low cost to take autonomous driving to mass scale, claims Aeva.

The Aeries system integrates key elements of a lidar sensor into a miniaturised photonics chip, says Aeva. The company claims that its 4D lidar-on-chip significantly reduces the size and power of the device while achieving full range performance of over 300m for low reflective objects and the ability to measure instant velocity for every point; this is a first for the autonomous vehicle industry, says Aeva. The lidar-on-chip will cost less than $500 at scale, compared with $10,000s for today’s lidar sensors.

“One of the biggest roadblocks to bringing autonomous vehicles to the mainstream has been the lack of a high-performance and low-cost LiDAR that can scale to millions of units per year,” said Soroush Salehian, Aeva’s co-founder. “From the beginning we’ve believed that the only way to truly address this problem was to build a unique LiDAR-on-chip sensing system that can be manufactured at silicon scale.”

A distinguishing approach by Aeva is for the Aeries sensing system to measure the instant velocity of every point on objects beyond 300m. Aeva’s lidar is also free from interference from other sensors or sunlight and it operates at only a fraction of the optical power typically required to achieve long range performance. These factors contribute to increasing the factor of safety and scalability for autonomous driving.

Aeva also differs from other FMCW approaches by being able to provide multiple millions of points per second for each beam, resulting in high fidelity data that has been unprecedented until today, claims the company.

Co-founder, Mina Rezk, explains: “A key differentiator of our approach is breaking the dependency between maximum range and points density, which has been a barrier for time-of-flight and FMCW lidars . . . Our 4D lidar integrates multiple beams on a chip, each . . .capable of measuring more than two million points per second at distances beyond 300m.”

Porsche SE, a majority voting shareholder of the Volkswagen Group, has recently invested in Aeva, expanding the existing partnership between Aeva and Audi’s self-driving unit (Audi is part of the Volkswagen Group). Aeva points out that this is Porsche’s only investment in lidar technology to date.

Alex Hitzinger, senior vice president of Autonomous Driving at VW Group and CEO of VW Autonomy, said: “Together we are looking into using Aeva’s 4D lidar for our VW ID Buzz AV, which is scheduled to launch in 2022/23.”

Aeries meets the final production requirements for autonomous driving robo-taxis and large volume ADAS customers and will be available for use in development vehicles in the first half of 2020.

Aeva will unveil Aeries at CES 2020 (7 to 10 January) at the Las Vegas Convention Center (Booth 7525, Tech East, North Hall).

http://www.Aeva.com

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Partners to develop AI hardware and software for autonomous vehicles

Videantis, which provides automotive deep learning, computer vision and video coding solutions, has announced that it will partner with the Fraunhofer Institute for Integrated Circuits IIS, Infineon and other leading companies and universities to develop an artificial intelligence (AI) ASIC and software development tools specifically for intelligent autonomous vehicles.

The Videantis AI multi-core processor platform and tool flow has been selected for the KI-Flex autonomous driving chip project.

Autonomous driving relies on fast and reliable processing and merging of data from several lidar, camera and radar sensors in the vehicle. This data can provide an accurate picture of the traffic conditions and environment to allow the vehicle to make intelligent decisions when driving. The process of intelligently analysing these volumes of sensor data requires high-performance, efficient, and versatile compute solutions.

Videantis, Fraunhofer IIS and partners working on the KI-Flex project to develop a powerful system-on-a-chip and associated software development tools will use the AI multi-core processor to run the algorithms used for sensor signal processing and sensor data fusion to enable the vehicle’s exact position and environment to be understood. The chip will integrate the next-generation videantis processors and technology to run these demanding artificial intelligence algorithms in real-time and with low power consumption. This chip will also be supported by an automated tool flow from Videantis, which automatically distributes and maps AI workloads onto the parallel architecture.

Under the KI-Flex program, Videantis will integrate its multi-core processor into a software-programmable and reconfigurable chip that processes the sensor data using AI-based methods for autonomous driving.

The project, which runs until August 2022, is funded by the German Federal Ministry of Education and Research (BMBF). Fraunhofer IIS leads the project consortium, which comprises Ibeo Automotive Systems, Infineon Technologies, Videantis, Technical University of Munich (Chair of Robotics, Artificial Intelligence and Real-time Systems), Fraunhofer Institute for Open Communication Systems FOKUS, Daimler Center for Automotive IT Innovations (DCAITI, Technical University of Berlin) and FAU Erlangen-Nürnberg (Chair of Computer Science 3: Computer Architecture).

Videantis is headquartered in Hannover, Germany. It provides deep learning, computer vision and video processor IP for flexible computer vision, imaging and multi-standard hardware/software video coding for automotive, mobile, consumer, and embedded markets. Based on a unified processor platform approach that is licensed to chip manufacturers, Videantis provides tailored solutions to meet the specific needs of its customers. Core competencies are deep camera and video application with SoC design and system architecture expertise. Target applications are advanced driver assistance systems (ADAS) and autonomous driving, mobile phones, augmented reality / virtual reality (AR/VR), IoT, gesture interfacing, computational photography, in-car infotainment, and over-the-top (OTT) TV.

http://www.videantis.com

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SYSGO and STMicroelectronics demonstrate secure telematics

Real-time operating system (RTOS) for certifiable embedded systems company, SYSGO has jointly developed the Automotive Secure Gateway, based on STMicroelectronics’ Telemaco3P SoC.

The Telemaco3P SoC is an automotive processor for secure telematics and connectivity, which is combined with SYSGO`s PikeOS hypervisor-based RTOS, which brings avionics-grade safety and security to the automotive market, says the company.

The Telemaco3P platform ensures a secure connection between the vehicle and the cloud. Its asymmetric multi-core architecture is built upon powerful application processors as well as an independent controlled area network (CAN) control sub-system with optimised power management. Its ISO 26262 silicon design, embedded hardware security module and automotive-grade qualification up to +105 degrees C ambient temperature enable it to be used in a range of secure telematics applications supporting high-throughput wireless connectivity and over-the-air (OTA) firmware upgrades.

PikeOS extends the concept of secure telematics by encapsulating all communications channels and all applications in individual partitions, using a positive-security concept. This means that individual partitions cannot communicate with each other unless explicitly allowed and configured by the developer. The strict separation on the kernel level ensures that any malfunction or malicious attack will not impact the software running in partitions other than the one originally affected. PikeOS is currently the only RTOS/hypervisor certified to Common Criteria (EAL 3+). It has been used in a range of critical safety and security applications in the avionics, railway, and automotive industries.

The Automotive Secure Gateway implements a comprehensive security concept including a virtualised firewall, an intrusion detection system (IDS), fast and secure boot capabilities and a secure OTA update process. It supports secure cloud communications via LTE, as well as secured Wi-Fi, Bluetooth, Ethernet and CAN connectivity within the car.

At CES 2020, ST and SYSGO will demonstrate how the Automotive Secure Gateway can detect and effectively mitigate OTA attacks. Demos will take place at CES 2020 in Las Vegas, Nevada, USA, in the Automotive Grade Linux showcase in the Smart City exhibition (Westgate Booth 1815) and in SYSGO’s hospitality suite in the Westgate Hotel (floor 18, suite 1830).

https://www.st.com

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C-V2X/DSRC chipset is certified for US deployment

Israeli company, Autotalks has announced that its second generation vehicle to everything (V2X) chipsets are Federal Information Processing Standard (FIPS) -certified for secure C-V2X or DSRC (dedicated short range communications) deployment in the US.

Autotalks’ V2X chipsets achieved FIPS 140-2 security level 3 certification from the US National Institute of Standards and Technology (NIST). Its Craton2 and Secton embedded hardware security module (eHSM) is the first V2X HSM to achieve this certification.

FIPS 140-2 is a US government computer security standard that is used to approve cryptographic modules. The US Department of Transportation recommends level 3 certification for V2X HSM in order to prevent the theft of security credentials.

“This makes Autotalks chipsets the only truly secure C-V2X/DSRC chipsets which are ready for deployment in the US,” said Yaniv Sulkes, Autotalks’ vice president of business development and marketing in North America and Europe. “[The chipset] allows automakers to deploy Autotalks’ secure V2X chipset using either V2X technology, with the option to later change to another technology, thus eliminating risk of wrong technology selection.”

Autotalks’ chipset isolates V2X from the non-safety domains, to provide domain separation and security, scalability, and cost-optimisations of telematic control unit (TCU) deployments. The embedded HSM exceeds the secure storage size defined by US DOT V2X NPRM, assures access to secure assets only by authorised processes and includes crypto-agility for future-proof cyber defence.

Autotalks is a V2X chipset provider, and says it helps reduce collisions on roadways and improve mobility with its automotive qualified chipsets. The chipsets offer secure, global V2X communications designed for autonomous vehicles. The technology complements the information coming from other sensors, specifically in non-line-of-sight scenarios, rough weather, or poor lighting conditions. It significantly improves overall road safety, effectively coordinating vehicles, self-driving cars, motorcyclists and pedestrians.

http://www.auto-talks.com

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