Both the TPS59632-Q1 and TPS59603-Q1 devices are AEC Q-100 qualified to support the automotive % To learn more about Intels innovations, go to newsroom.intel.com and intel.com. Mobileye said Geely will be using the technology, called SuperVision, in "high volume.". #mc_embed_signup form { padding: 0px !important; text-align: left !important; } Is EyeQ5 capable of decision making, too? It features 12 CPU cores with 24 threads based on RISC-V archictecture. re1206fre0723r7lyageo() EyeQ5 will feature eight CPU cores coupled with 18 cores of Mobileye's vision processors, according to the chip's block diagram . It also wins on power efficiency, he claimed. Mobileye announced that it plans to partner with auto maker Zeekr to roll out what the companies said would be the world's first Level 4 autonomous vehicle in China by 2024. To meet power consumption and performance targets, the EyeQ5 will be designed in advanced 10nm or below FinFET technology node and will feature eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation, innovative, and well-proven vision processors. The autonomous driving giant is also developing in-house lidar sensors to complement the radar systems it is also building in-house. functionalities. It converts DC from the high-voltage battery to multiphase (usually three-phase) A, Enabling New Levels of Performance and Safety in Magnetic Sensors with xMR, By Paul A. David, Executive Director, Chief Technologist, Sensor Innovation,. 1 Based on Mobileye EyeQ5 TOPS performance expectations vs. NVIDIA claimed Xavier platform DL Performance of 30 TOPS at 30W. You should not place undue reliance on these statements. It began sampling last year and is due to reach start of production by the middle of 2023. Mobileye said Ultra can process data from two sensor subsystemsone camera-only system, and the other combining radar and lidarand the vehicle's central computing system, high-definition map, and driving policy software. The EyeQ Ultra is the "crowning jewel" of its product line, Shashua said, likening it to an "autonomous-vehicle-on-a-chip.". Both EyeQ4 and EyeQ5 can support both goals specific vision processing, as well as master ECU, he added. 117 0 obj <>stream This optimized assignment ensures the EyeQ5 provides "super-computer" capabilities within a low-power envelope to enable price-efficient passive cooling. Autonomous driving requires an unprecedented level of focus on functional safety. It is equivalent to two EyeQ5 SoCs in terms of computing power but more importantly supports visualization and performs better under heavy artificial intelligence workloads. x[s]T STy-%Yo|QrRyFTq#9@sjSY+6&sxmnNtt|>M[.D],~('6R8?)q\yJ%3RU> v}V~{X_ vZ2;x|Xw=LGy]6qml*Zrk;ZGo[?+qQU a5R|_W{7ON5hGmM->Q McGregor reminded us that Intel was once the dominant supplier of microcontrollers to Ford Motors. Other names and brands may be claimed as the property of others. >@FxP_v5^U d(8 oeLg(7=f!7Koz9G=7^ _2i~p`\G>%RMG!+]>[a \&'jW./^#/$? (Credit: Mobileye, an Intel Company). According to Shapiro, Xavier, which is already in bring up now, will be in volume production in 2019. This approach enables the optimum balance of performance across different accelerators and general-purpose processors in an extremely efficient power-performance envelope. By 2005, Intel announced it would discontinue production of allits automotivemicrocontroller chips. The deal for the advanced driver assisted systems will begin in 2021, when Intel's EyeQ5 chip, which is designed for fully . STM32F100RDT6BTR. L2. China's Geely Auto Group will deploy Mobileye's "full stack," 360-degree camera-only ADAS solution to power Level 2+ electric vehicles, starting in 2021. The answer is that, while they are still in an early phase of the autonomous vehicle technology battle, neither company wants it said that their solution consumes too much power or is less capable than their rival. The chip is faster and less power-hungry than its predecessor, the EyeQ 4, meaning that it can be mounted behind a car's windshield to watch the road for dangers. The Ultra will be priced at less than $1,000 when it is widely available to auto makers, Mobileye said. (Mobileye) (1) - 1999 (Vision) (ADAS) - 2014 . Two New EyeQ SoCs for Next-Generation ADAS. Designed to make consumer AVs accessible, EyeQ Ultra fills a void in the automotive market as the EyeQ family of SoCs has done before it. It was the first city . // No product or component can be absolutely secure. At a mere 176 TOPS, the EyeQ Ultra is much more efficient than other AV solutions, delivering the necessary performance and price-point required for consumer-level AVs. Features include any-angle vehicle detection and lane detection. About STMicroelectronics ST is a global semiconductor leader delivering intelligent and energy-efficient products and solutions that power the electronics at the heart of everyday life. Home Interviews A peek inside Mobileyes EyeQ5 Part 2. www.electronicdesign.com is using a security service for protection against online attacks. Leveraging this same technology, Mobileyes EyeQ chip and algorithms have been trained to identify, tag and classify any road assets, as equipped vehicles passenger and fleet vehicles go on their regular route. You may unsubscribe at any time. The full sensor suite includes 13 cameras, 3 long-range LiDARs, 6 short-range LiDARs and 6 radars. First, Shapiro explained that comparing the two chips with two different rollout dates on two different process nodes (Xavier on 16nm vs. EyeQ5 on 7nm) isnt kosher. It is equivalent to two EyeQ5 SoCs in terms of computing power . This browser is out of date and not supported by st.com. Departments of transportations, road operators and road maintenance experts can: Assess, monitor & improve pavement quality with real-time data on road conditions, Expedite pavement operations with accurate localization of surface distress, Identify the roads that require immediate attention. Thanks! EyeQ is the brain behind everything Mobileye does - from driver-assistance to self-driving technologies. Pleaselog in to show your saved searches. EyeQ5SuperVision4ZeroConcept2 2EyeQ574360 2021 20209Al Habtoor GroupAHGUAE endobj %PDF-1.6 % Intel, which is trying to raise funds to build chip-making fabs and close the gap with TSMC and other rivals that ended Intel's chip-making leadership, said that it plans to retain a majority stake in the company after Mobileye's IPO sometime in 2022. Supervisor open drain or open collector channel sot-23-3. "It is not all about TOPS," Shashua said during a press conference at CES this month. But last year, Intel said it planned to spin out a portion of its autonomous driving unit, in a bet that the car chip business will become an increasingly important market for the chip vendor. The digital road maps are accessed via the cloud in real-time to provide up-to-date information that helps supplement a car's onboard sensors. Share Post. The root of trust is created based on a secure boot from an encrypted storage device. Rehabilitation Robots Market Trends ;h^%#D[A&(B5%u+.pC^-/,MiM5(X+0U9s/[&?S\BINc Mobileye began testing it last year it is expected to reach production by mid-2023. Vehicles worldwide are equipped with Mobileye driver-assist technology. The innovation of EyeQ helped make roadway safety technology more accessible, bringing features including forward-collision warning, lane departure warning and blind spot detection to millions of drivers around the world. Unveiled at CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency, making it the industry's leanest autonomous vehicle chip. However, the team will turn to FinFET 10nm or below for EyeQ5 chips. Mobileyes proven EyeQ architecture lays the foundation for EyeQ Ultra. First development hardware with the full suite of applications and SDK are expected by the second half of 2018. The EyeQ 6L is ideal for the front-facing camera systems in cars. New York City joins a number of . These accelerators are paired with additional CPU cores, ISPs and GPUs in a highly efficient solution capable of processing input from two sensing subsystems one camera-only system and the other radar and lidar combined as well as the vehicles central computing system, the high-definition map and driving policy software. NXP Packs All In-Car Wireless Connectivity into One Box, Integrated Power Loss Brake Features Lower Energy Consumption and Reduce Costs in Data-Center Fan Applications, By Chengyi Jin, Principal Systems Design Engineer. Mobileye (NYSE:MBLY) and STMicroelectronics (NYSE:STM) today announced that the two companies are co-developing the next (5th) generation of Mobileyes SoC, the EyeQ5, to act as the central computer performing sensor fusion for Fully Autonomous Driving (FAD) vehicles starting in 2020. First silicon for the EyeQ Ultra is expected in late 2023 with full automotive-grade production in 2025. #mc_embed_signup img { Consider that modern browsers: So why not taking the opportunity to update your browser and see this site correctly? Description. The EyeQ Ultra takes Mobileye performance to a whole new level. 2 0 obj EyeQ Ultra utilizes an array of four classes of proprietary accelerators, each built for a specific task. As an extension of the EyeQ family, EyeQ Ultra will also be informed by Mobileyes Road Experience Management (REM) mapping technology. EyeQ5 accelerators were designed to optimise the performance per watt for machine learning and vision processing, enabling advanced processing of many sensors within a reasonable power consumption budget," Rushinek said. The service requires full cookie support in order to view this website. The EyeQ 6H is targeted at more advanced safety features in cars that rely on several surround cameras, such as lane-changing assist and automated parking. Rushinek made it clear that the EyeQ5 accelerators arent a licensed IP. Qualcomm SnapDragon Drive Pilot compute platform for automated vehicles. We already have all radar processing run together with advanced camera processing on a single EyeQ3 (EyeQ5 is expected to be ~50-60 times stronger than EyeQ3) in production (e.g. The EyeQ6L will be the successor to the EyeQ4 SoC in a package that is just 55 percent the size of the EyeQ4. $ cd eyeq $ ls /lib/modules/ 3.2.-23-generic $ make. Intels products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right. You can also try the quick links below to see results for most popular searches. All the cameras, radar, and lidar sensors give the vehicle 360-degree coverage of the world around it. As unveiled during CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency at only 176 TOPS, making it the industrys leanest autonomous vehicle (AV) chip. It needs to other ECUs in cars. High computational and data bandwidth requirements are supported with four 32-bit LPDDR4 channels, operating at 4267MT/s. The chip adds internal redundancies for safety as well as a security subsystem. The ST/Mobileye team has not disclosed either the node (10nm or below) or the foundry partner. EyeQ Ultra integrates the performance of 10 EyeQ5s in one package. <> Our products are or will be integrated into car models from 25 global automakers. orpassword? Words such as believes, intends, expects, projects, anticipates, and future or similar expressions are intended to identify forward-looking statements. MobileyeEyeQ4. Accommodat, 3 ways MCUs are addressing common design challenges of 800-V EV traction inverters, The electric vehicle (EV) traction inverter is the core of the EV. different EyeQ models needs. - Understand technical References and Datasheet of System Microcontroller TC27xD. } Uses of EyeQ5 as an Open Software Platform are facilitated by such architectural elements as hardware virtualization and full cache coherency between CPUs and accelerators. with its intended software needs in mind. The Mobileye tech will include six of its EyeQ5, or fifth generation, system on chips, which will be used to process incoming data from sensors as well as incorporate the company's branded . Nvidia and Intel are engaged in aspecsmanship battle over AI chips for autonomous vehicles that reached a new high or more accurately a new low when Intel CEO Brian Krzanich recently spoke at an auto show in Los Angeles. Mobileye SeeQ Brochure 1. :. You must Register or About Mobileye Mobileye N.V. is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye's silicon-only approach to EyeQ5 marks a stark contrast to an EyeQ business model in which it sells "silicon and software as a closed system." Shashua said that in driving assist the closed EyeQ chip comes with "entire application detecting pedestrians, vehicles and whatever it needs to function in a closed system." This one-box windshield solution delivers more deep-learning TOPS at ultra-low power for highly efficient entry and premium (L2) ADAS. This diversity of accelerator architectures enables applications to save both computational time and energy by using the most suitable core for every task. One thing thats never clear is the issue of a split of hardware and software in processing sensory data. Rushinek explained, The PMA (Programmable Macro Array) and VMP (Vector Microcode Processor) cores of EyeQ5 can run deep neural networks extremely efficiently, enabling low level support for any dense resolution sensor (cameras, next generation LIDARs and radars). First introduced in 2004, Mobileyes EyeQ transformed the ADAS market by proving that cost-effective camera sensors processed by Mobileyes purpose-built technology were capable of preventing and mitigating collisions. Mobileye introduces EyeQ Ultra - a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving. Both EyeQ6 SoCs will be manufactured on 7nm process technology. We are thrilled to be working with Mobileye. the only scalable automotive-grade SoC that can truly address the By developing the entire self-driving solution from hardware and software to mapping and service models Mobileye has a unique perspective into the exact requirements for the self-driving system that enables us to reach the performance-and-cost optimization that will make consumer AVs a reality.. Datasheet Description The MP86905 is a monolithic half-bridge with built-in internal power MOSFETs and gate drivers. EyeQ is a kernel module that implements a queueing discpline. MADISON, Wis. Does comparing Intels EyeQ 5 with Nvidias Xavier make sense? The EyeQ 6H will begin sampling later this year and enter full production by the end of 2024. You can find available headers on your system in /lib/modules . #mc_embed_signup .button { #mc_embed_signup{background-color: #f2f2f2; padding: 20px; margin: 20px 0; clear:left; font:14px Helvetica,Arial,sans-serif; width:100%;} For years, it has offered camera-based systems with a package of its hardware and software to auto makers trying to add safety features such as emergency brake assist and lane-departure and blind-spot warningsalso called advanced driver assistance (ADAS) systemsto cars. The MP86905 is a monolithic IC approach to drive up to 50A of current per-phase. Further information about Mobileye can be found at: http://www.mobileye.com/. The MP86957 is a monolithic IC approach that can drive up to 70A per phase. EyeQ Ultra, at 176 TOPS, will be the seventh generation of EyeQ architecture. This escalating specsmanship, however, speaks volume about Intels commitment to muscle back into the automotive chip market, noted McGregor. EyeQ5L4. V3HV3MNXPS32V234S32V3CV2CV22 . Contact us today to learn more about Mobileye Data Services and receive a data sample. At CES, the automotive chip giant also announced a pair of 7-nm processors for ADAS: the EyeQ 6L and EyeQ 6H. The EyeQ controls each sensor via I2C bus on a frame basis in order to get the optimised output, which is deeply aligned with real time algorithms.. www.electronicdesign.com is using a security service for protection against online attacks. Operational Solutions Manager at Northumbrian Water Group. Please enable JavaScript on your browser and try again. Mobileyes products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using REM; and provide mapping for autonomous driving. SoCSystem on ChipEyeQ5SoCDenverton BMW2016 BMW. Mobileye EyeQ5 - High Core Rail Power-Supply Design Using TPS59632-Q1 and TPS59603-Q1 Rama Venkatraman, Meir Battan . Reducing power is growing in importance for electric vehicles as self-driving systems will have to run off the same battery as the powertrain. If so, is it Mobileyes DSP or is it licensed from elsewhere? Mobileye already sells a package of hardware and software that can add a Level 4 self-driving mode to cars, but it uses several chips that are too power-hungry for cars suited for consumers. www.electronicdesign.com is using a security service for protection against online attacks. The chip, which fits inside a 50% smaller package than its predecessor, brings more performance to run advanced camera-based safety features such as automatic emergency braking (AEB) and lane control. The root of trust is created based on a secure boot from an encrypted storage device. He gets under the hood of Mobileye Roadbook and how Mobileye is building a scalable, autonomous vehicle map that differs greatly from traditional high-definition maps, from how the data is. Qualcomm. Mobileye began testing autonomous vehicles in Munich in 2020, after obtaining an AV testing permit recommendation from the independent technical service provider TV SD. Our proprietary software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Described as a single package AV-on-chip supercomputer, Mobileye's EyeQ Ultra driving touts a maximum performance and efficiency at 176 TOPS. Allegro MicroSystems. "The EyeQ5 continues the legacy Mobileye began in 2004 with EyeQ1, in which we leveraged our deep understanding of computer vision processing to develop highly optimized architectures to support extremely intensive computations at power levels below 5W to allow passive cooling in an automotive environment., Each generation of the EyeQ technology has proven its value to drivers and ST has proven its value to Mobileye as a manufacturing, design, and R&D partner since beginning our cooperation on the EyeQ1, said Marco Monti, Executive Vice President and General Manager Automotive and Discrete Group, STMicroelectronics. Login to post a comment. The Mobileye technology really changes the game [] and this is helping us manage our networks and keep our customers' water flowing. Just like edge computing, this is edge mappingusing anonymized and generic data captured by vehicle-mounted cameras and computer vision for instant map updates. The EyeQ5 will contain eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation, well-proven vision processors, explained Marco Monti, ST's EVP, Automotive and Discrete Group. The EyeQ4 chipsets are developed by Mobileye and manufactured by STMicroelectronics using the proprietary 28nm Fully Depleted Silicon On Insulator (FD-SOI) low power consumption technology.. We recommend moving this block and the preceding CSS link to the HEAD of your HTML file. Our technology keeps passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Enriching our customers GIS platform with dynamic mobility datasets per road segment. Home AI Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate. [WlK]4dgx6e 0-ytWUQ~*g3%'bh: Indeed, just comparing the specs of the two SoCs alone seems almost silly without discussing what other chips in addition to the said SoCs are needed to complete a Level 4 or Level 5 autonomous vehicle platform. While not on the same level as Nvidias Orin and Qualcomms Snapdragon Ride chips in terms of performance, Mobileye CEO Amnon Shashua said the Ultra chip has more than enough muscle to control a consumer-grade autonomous vehicle. The EyeQ4H SoC, manufactured in STMicro's 28nm FD-SOI process, supports autonomous vehicles with complex and computationally intense vision processing for Automotive applications while maintaining low power consumption at 2.5 Tops. In contrast, EyeQ4, a previous generation vision SoC, had 4 CPU cores and six Vector Microcode processors. Rushinek said, EyeQ5 supports a few standard communication channels: PCIe, SPI, Gigabit Ethernet, CAN-FD, UART. The sensor-fusion process has to simultaneously grab and process all the sensors data. When Mobileye announced the EyeQ5, the company talked about fully programmable accelerators. Out of line So, was it out of line for Intel to compare EyeQ5 to Xavier? Leveraging 5 nanometer process technology, EyeQ Ultra can handle all the needs and applications of Level 4 (L4) autonomous driving without the power consumption and costs related to integrating multiple SoCs together. Leveraging its substantial experience in automotive-grade designs, ST will support state-of-the-art physical implementation, specific memory and high-speed interfaces, and system-in-package design to ensure the EyeQ5 meets the full qualification process aligned with the highest automotive standards. The Mobileye EyeQ5 processors are each claimed to generate 24 trillion deep learning operations per second (TOPS) at 10 W each. Like its EyeQ predecessors, EyeQ Ultra has been engineered in tandem with Mobileye software, enabling extreme power efficiency with zero performance sacrifices. Today, Mobileye makes one of the most advanced collision avoidance systems on the market,. MobileyeMobileyeEyeQ52020FAD. [68] Mobileye Drive was first fitted to vehicles used for driverless, ride-hailing services in 2021, with plans for public testing in Germany and Israel in 2022. Unveiled at CES 2022, the EyeQ6L will be the successor to the EyeQ4 SoC in a package that is just 55 percent the size of the EyeQ4. endstream endobj 118 0 obj <>stream The company has previously said that it has shipped more than 100 million EyeQ processors to date. In contrast, EyeQ4, a previous generation vision SoC, had 4 CPU cores and six Vector Microcode Processors. That is the question. Of course it was, said Jim McGregor, founder and principal analyst at Tirias Research. Unveiled at CES 2022, the EyeQ6H will support premium advanced driver-assistance systems or partial autonomous vehicle capabilities with full surround. The browser version you are using is not recommended for this site.Please consider upgrading to the latest version of your browser by clicking one of the following links. He added, FFT (Fast Fourier Transform) processing needed for radars and ultrasound could efficiently run on the VMP. endobj But what exactly are those cores inside EyeQ5 processing? - Interface with cross-functional teams to understand the Requirements and implement the Software Mobileye began with the vision of reducing vehicle collisions and resulting injuries and fatalities. There are millions of those systems on the road today. Advertisement In short, in his opinions, machine learning demands custom architecture. While it previously paired its chips with its homegrown software, sensors, and apps in a "black box", Mobileye said that it uncoupled the software and hardware in the EyeQ Ultra chip to give its customers more flexibility. Rushinek believes Mobileyes approach is validated by Googles recently announced Tensor Processing Unit (TPU), a custom ASIC built specifically for machine learning. This enables system integrators to support over-the-air software updates, secure in-vehicle communication, etc. The introduction of EyeQ Ultra comes at the same time as two new EyeQ SoCs for ADAS the EyeQ6L and EyeQ6H and follows the shipment of Mobileyes100 millionth EyeQSoC late last year. At a launch announcement in early 2016, Mobileye described the new SoC as "offering the vision central computer performing sensor fusion for fully autonomous driving (Level 5) vehicles." Mobileye is currently the leader of camera-based ADAS, with products . Click here. Mobileye is committed to respecting your privacy, including but not only by complying with applicable data protection and privacy laws. Nvidia called us and cried foul. There's more than a single programming model involved. However, common to all the accelerators is they're programmed in a version of the C language extended with features mapping to their specific hardware architecture. He explained that this is true for most accelerators on the market., Mobileyes heterogeneous accelerators are optimised for a wide variety of computer vision, machine learning and signal processing tasks, according to Rushinek. With our joint commitment to the 5th-generation of the industrys leading Advanced Driver Assistance System (ADAS) technology, ST will continue to provide a safer, more convenient smart driving experience.. Mobileye Drive is a Level 4 self-driving system. Next page: L4/L5 cars need how much TOPS? Y~S"\!T"*B*rUa!bd4e[GooZq]~Y_P?_~]&L1GS~uaG*is=Si/LJ.r5"z+udhwN\NofUl'bp*xb9v{Xv3#j,MxsqUqtac'(|c[$*J7Rod-JWq`ER7-)!xW]UTD[GU@v{PZ\424RI0UId$D)C\,.A },>5VHhKQV d^Z>}_gwyIQ@seW2z`E#XYu+9@4{H]-cD%v2x- creyW:Vir4ujU)O EyeQ6 Lite: high efficiency for core ADAS Engineered to support Level 1-2 driver-assistance, EyeQ6L (or "Lite") boasts the best combination of high performance, low power consumption, and optimal cost efficiency of any SoC we have ever made. [69] [68] Aftermarket [ edit] // See our complete legal Notices and Disclaimers. Now, Intel is counting on its $15 billion Mobileye acquisition to redeem itself in the automotive world. ~Z9djMhu_N~R1 S]9 IqayT;v-fz8^UF4|)sYMJ;*xp'D=lW(Q.dVe4.3.^hoS_uKTVhJ &~'2Te;\qyrLG}Y[jZB@|-`+^[BtA&~dw.#7i jPWh v=5. Mike Demler, senior analyst at the Linley Group, agreed. Noting that the EyeQ5 will contain eight multithreaded CPU cores coupled with eighteen cores of Mobileye's next-generation vision processors, Marco Monti, STs executive vice president, Automotive and Discrete Group, explained that this level of complexity has prompted ST to use the most advanced technology node available. Mobileye said prototypes of the Ultra will be ready in 2023, with full automotive-grade production set in 2025. The chip includes 64 such cores, including 16 convolutional neural network (CNN) accelerators. Do you work for Intel? The EyeQ Ultra can supply up to 176 trillion operations per second, or TOPS, to carry out artificial intelligence workloads in cars and up to 4.2 TFLOPS to handle more general-purpose processing jobs, the company said. The service requires full JavaScript support in order to view this website. Mobileye today introduced the EyeQ Ultra, a 5nm IC designed for autonomous driving to be put into silicon in 2023. STM1061N31WX6F. After the Intel CEOs keynote, Danny Shapiro, Nvidias senior director of automotive, called EE Times from L.A. and cried foul. for efficient asset management & maintenance programs, Delivering a base layer of road assets and/or pavement defects at time T, Delivering a delta layer of new or missing assets and material change in pole angle. Intel strongarm sa-110 microprocessor. EyeQ510FinFET8CPU18Mobileye Taken together, these enhancements will increase performance 8x times over the current 4th generation EyeQ4. Please log in to show your saved searches. Dont have an Intel account? Volvo CX90 and other Volvo models).. It's a highly efficient, scalable, and proven SoC that is driving the mobility revolution. The specsmanship battle by Nvidia and Intel over AI chips reached a new high, when Intel CEO claimed EyeQ 5 "can deliver more than twice the deep-learning performance efficiency" than Xavier SoC. The chip is supplemented by four classes of proprietary accelerators, each tailored for a specific set of tasks. EyeQ5 is Mobileye's newest SoC fabricated by using TSMC's 7nm process technology. M :t"J!$&K6(c|qRs?\pdv5Z%5fs>rM0y:v) aJ,MVBv7#oRI`vHUcjJh}cQ|gZ$@_:s\@)2i "/G8[dQpEUh Intel Corporation. Camera processing is the most computationally intensive, so any solution would include dedicated vision processing ECUs in addition to sending some of the raw data to the central ECU. For our industry, this is the next generation. Miles are mapped every day detecting over 150 million signs, 50 million poles and more. Mobileyes investment in several programmable domain-specific accelerator families is enabled by its focus on the ADAS and autonomous- driving markets. These statements are only predictions based on each of STMicroelectronics and Mobileyes current expectations and projections about future events. Then you look at the power, because if you dont have the performance, it really doesnt matter.. Mobileye's chief engineer sits down with EE Times to explain EyeQ5, the architecture of a driverless car in 2020, accelerators in the SoC and Googles recently unveiled custom ASIC for machine learning.