Both EyeQ4 and EyeQ5 can support both goals specific vision processing, as well as master ECU, he added. You can easily search the entire Intel.com site in several ways. Intels 8061 microcontrollers and its derivatives were reportedly used in almost all Ford automobiles built from 1983 to 1994. consuming less power. Forgot your Intelusername :pb[>S9iQ8Kw[Ev]}Y~W[R"b;UtL "It is not all about TOPS," Shashua said during a press conference at CES this month. (Credit: Mobileye, an Intel Company), Mobileye introduces the next-generation EyeQ system-on-chip for advanced driver-assistance systems. Integrating such a system in a single SoC will improve its cost and energy efficiency, which also allows it to run cooler. Mobileyes websites and communications are subject to our Privacy Notice and Terms of Use. width: 70px; 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. 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. In the past 20 years, Mobileye has launched a series of solutions consisting of algorithm + EyeQ series chips based on visual perception technology, which can help car companies realize from L0 level collision warning to L1 level AEB emergency braking, ACC Adaptive cruise, and then to the L2 ICC integrated cruise and other functions. Read what to know about Mobileye. 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. Do you work for Intel? Mobileye (part of Intel), made the announcement Thursday. STM1061N31WX6F. However, the team will turn to FinFET 10nm or below for EyeQ5 chips. Mobileye, an Intel company, is already trusted in the automotive world by by 25+ global automakers including Audi, BMW, FCA, General Motors, and more. Integration of drivers and MOSFETs results in high efficiency due to optimal dead . and Alexander Latham, Senior Technologist. G17S5004115Amphenol() Forget the process-node nonsense. Mobileye started sampling the EyeQ 6L last year, and it is set to enter production by the middle of 2023. 117 0 obj <>stream Rushinek said, EyeQ5 supports a few standard communication channels: PCIe, SPI, Gigabit Ethernet, CAN-FD, UART. . Allegro MicroSystems. To achieve Level 4/5, it starts with the TOPS of the neural-network engine and the compute performance of the CPUs, he said. Along with this, Mobileye will support an automotive-grade standard operating system and provide a complete software development kit (SDK) to allow customers to differentiate their solutions by deploying their algorithms on EyeQ5. Described as a single package AV-on-chip supercomputer, Mobileye's EyeQ Ultra driving touts a maximum performance and efficiency at 176 TOPS. By optimizing for efficiency, EyeQ Ultra unlocks the AV potential for safer roads and reduced congestion for consumers. MP86957 | Intelli-PhaseTM Solution (Integrated HS/LS-FETs and Driver Intel's EyeQ 5 vs. Nvidia's Xavier: Wrong Debate - EE Times Asia But he sees an even a bigger issue in that nobody is comparing a platform to a platform today, in autonomous vehicle solutions. Mobileye began testing it last year it is expected to reach production by mid-2023. What sort of bus does it support and how is that bus protected? 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. 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. Click here. The Mobileye team is one of Arteris IP's oldest and most innovative customers, having first licensed Arteris FlexNoC interconnect IP in 2010 while continually using it as the on-chip interconnect for the EyeQ3, EyeQ4, and EyeQ5 SoC families. 1 Based on Mobileye EyeQ5 TOPS performance expectations vs. NVIDIA claimed Xavier platform DL Performance of 30 TOPS at 30W. LAS VEGAS - Intel's autonomous driving subsidiary Mobileye announced three new generations of its EyeQ system-on-a-chips (SoCs), which are purpose-built for autonomous vehicles (AVs), at this year's Consumer Electronics Show (CES) in Las Vegas: The EyeQ Ultra, the EyeQ6 High and the EyeQ6 Low. The dynamic nature of this new data source will enable better decision-making and greater automation for Esri customers, and ultimately enabling safer streets and smarter communities. One thing thats never clear is the issue of a split of hardware and software in processing sensory data. M. [WlK]4dgx6e 0-ytWUQ~*g3%'bh: 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. INTRODUCTION. At this stage we are still in negotiations with the potential vendors, so we cant disclose names., He added, EyeQ5 supports hardware virtualisation and CPU/accelerator cache coherence, which together facilitates integration of software from multiple suppliers, including several OSes running concurrently.. 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 EyeQ5 will produce more than 12 Tera operations per second, while keeping power consumption below 5W, to maintain passive cooling at extraordinary performance. The Atom 3xx4 chip borrows high-end multi-threading and virtualization technologies from Intel's Xeon processors for running different tasks simultaneously on different systems around the car. } Nvidia called us and cried foul. EyeQ Ultra utilizes an array of four classes of proprietary accelerators, each built for a specific task. From general-purpose CPU cores to high compute density 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. #mc_embed_signup img { Consider that modern browsers: So why not taking the opportunity to update your browser and see this site correctly? These statements are only predictions based on each of STMicroelectronics and Mobileyes current expectations and projections about future events. Intel's Mobileye announces new EyeQ Ultra system-on-a-chip for 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. _jk}@vV)_$3]K4D4V q&l:e7!2*h jiqCfhE.C>_hnGZsF1f_{TD539#k:S-v%#TojN7|T4}lbZ&Jn\]! The service requires full JavaScript support in order to view this website. ;Q*`_v8hHLt?lh6$y+`Bh:;%(!=F{0;8prmm]0`_x3Hd6vi8RbiQ#"$bXq`OgzvryX|3~vo&ucGpiK886&}zqflOY@BB8_j""~}/ Tpp!&rCg0/%"Wm'. Arteris IP Ncore and FlexNoC Interconnects and Resilience Packages Utilizing the right mixture of accelerators to match the for a basic account. 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 The EyeQ Ultra contains 12 dual-threaded CPU cores based on the open-source RISC-V architecture, moving away from the MIPS CPU cores in its predecessors. McGregor reminded us that Intel was once the dominant supplier of microcontrollers to Ford Motors. G17S5004115,G17S5004115 pdf,G17S5004115,G17S5004115-Datasheet Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate, Intel CEO Brian Krzanich at his keynote presentation during Automobility LA on Nov. 29, 2017 (Source: Intel), Intel claimed that the Mobileye EyeQ5 SoC delivers 2.4 TOPS per watt for 2.4 times greater deep learning performance efficiency than Nvidias Xavier during Automobility LA (Source: Intel), Free to WatchWhy Hydrogen Gas Sensor is next big thing for EV and its potential application, Global DRAM Revenue Down by Over 30% in 4Q 2022, Analog Devices Hosts Open RAN Policy Coalition Reception, STMicroelectronics MCUs Receive NIST Embedded Random-number Entropy Source Certification, Keysight, DOCOMO, and NTT Collaborate to Drive 6G Wireless Innovation, Navigate 2023 with These Chip Supply Insights, UK Tech Rocketship Awards Offer a Launch-Pad to Taiwans Startups, Knerons Next-Gen Edge AI Chip Gets $40m Boost, Automakers Announce Plans to Go All-Electric in 2021, A Sustainable Future is on the Horizon with Digital Twins and AI, Smart Video Surveillance Might be Listening. Mobileye said Geely will be using the technology, called SuperVision, in "high volume.". The MP86957 is a monolithic half-bridge with built-in internal power MOSFETs and gate drivers. The EyeQ6H will support premium ADAS or partial AV capabilities with full surround. Rushinek said that EyeQ5 was designed to support more than 16 cameras in addition to multiple radars and LIDARs, including the low-level processing of all sensors. 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. Mobileye, a subsidiary of Intel, has expanded its autonomous vehicle testing program to New York City as part of its strategy to develop and deploy the technology. // See our complete legal Notices and Disclaimers. The second type is called as therapy robot, that allows patients to perform practice movements aided by robot. Please log in to show your saved searches. As a result, you may be unable to access certain features. https://www.facebook.com/ElectronicDesign, https://www.youtube.com/channel/UCXKEiQ9dob20rIqTA7ONfJg. By getting more from technology to get more from life, ST stands for life.augmented. The SDK may also be used for prototyping and deployment of Neural Networks, and for access to Mobileye pre-trained network layers. stream Operational Solutions Manager at Northumbrian Water Group. Please enable JavaScript on your browser and try again. The EyeQ5 continues Mobileye's long-standing cooperation with STMicroelectronics. 1yMn|.k9iw4 [0(Kj cdv)>Lw@[ \rKZ_v5OBkG4/gaXmP*+m|eCXHvQ)Flk ? EyeQ4 SoC Digital 1.0V Core Power Rail Application Notes Power Integrity and Thermal Design Guidelines Filename: EyeQ4 SoC Digital Core Power Rail.docx ID: TECHNOLOGIES-221530924-7426 Mobileye Proprietary and Confidential Page 5 of 14 1. According to Shapiro, Xavier, which is already in bring up now, will be in volume production in 2019. Mobileye SeeQ Brochure - SlideShare Local governments, transportation and city planners can: Measure road safety risk in their jurisdictions and identify dangerous intersections and street segments, Support grant applications and updates to city and transportation plans with relevant mobility data, Measure the efficacy of policies and infrastructure investments with real-time and historical data on movement. Mobileye says the EyeQ Ultra will equal the performance of 10 of the company's EyeQ5 chips in a single package. ;h^%#D[A&(B5%u+.pC^-/,MiM5(X+0U9s/[&?S\BINc See Intels Global Human Rights Principles. 4 0 obj To learn more about Intels innovations, go to newsroom.intel.com and intel.com. You may unsubscribe at any time. Marking a leap in the evolution of the EyeQ family of SoCs, EyeQ Ultra packs the performance of 10 EyeQ5s in a single package. Mobileye EyeQ5: High Core Rail Power-Supply Design Using TPS596xx-Q1 Mobileye Announces EyeQ6 And EyeQ Ultra Chips For Assisted And - Forbes Mobileye introduces EyeQ Ultra a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving. The root of trust is created based on a secure boot from an encrypted storage device. EyeQ5 will feature eight CPU cores coupled with 18 cores of Mobileye's vision processors, according to the chip's block diagram . IntelBMW | xTECH Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. The Magna Gen5 "one-box" solution is a Mobileye EyeQ5-based system - one of the industry's first where the forward-facing camera and related software are contained in a single assembly. different EyeQ models needs. 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.. You should not place undue reliance on these statements. For this purpose, the EyeQ5s dedicated IOs support at least 40Gbps data bandwidth. First silicon for the EyeQ Ultra SoC is expected at the end of 2023, with full automotive-grade production in 2025. Today, Mobileye makes one of the most advanced collision avoidance systems on the market,. There is no simple answer, since in reality there will be some level of low level processing done in the sensor in parallel to sending some of the low level information to the central ECU, said Rushinek. 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. 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. Mobileye Data Services | Serve the Public More Efficiently Dynamic GIS Data for Efficient and Sustainable Operations Road Asset Mapping Delivering a base layer of road assets and/or pavement defects at time T Mass Survey Capabilities Leverage Mobileye's Built-in and Retrofit ADAS Technology In our recent interview with Intel, the CPU giant revealed plans to unveil soon a multi-chip platform for autonomous driving, which will combine the EyeQ 5 SoC, Intels low-power Atom SoCs, and other hardware including I/O and Ethernet connectivity. It is equivalent to two EyeQ5 SoCs in terms of computing power . 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. At the Consumer Electronics Show, Mobileye revealed the next generation of its flagship system-on-a-chip (SoC), called the EyeQ Ultra, that is purpose-built for cars that can almost completely drive themselves. radars, and lidars for a full self-driving system. In contrast, EyeQ4, a previous generation vision SoC, had 4 CPU cores and six Vector Microcode processors. As Mobileye continues to execute its plan to enable autonomous driving, the versatility and scalability of the companys portfolio comes into view. 2023 Endeavor Business Media, LLC. Asked about EyeQ4, Rushinek confirmed that EyeQ4 currently sampling is produced using 28nm FD-SOI. Your newsletter subscription has been submitted, All rights reserved 2023 STMicroelectronics |, Communications Equipment, Computers and Peripherals, are more secure and protect better during navigation, are more compatible with newer technologies. Login to post a comment. 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. Inspired by Moores Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers greatest challenges. The MP86905 achieves 50A of continuous output current over a wide input supply range. By signing in, you agree to our Terms of Service. 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. It's a one-box windshield solution capable of supporting all core ADAS applications. EyeQ Documentation - GitHub Pages Mobileye SeeQ Brochure 1. 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. M :t"J!$&K6(c|qRs?\pdv5Z%5fs>rM0y:v) aJ,MVBv7#oRI`vHUcjJh}cQ|gZ$@_:s\@)2i "/G8[dQpEUh Gathered via millions of vehicles on the road already equipped withMobileye, REM captures packages of road data to create the Mobileye Roadbook, which is accessed via the cloud to provide, in real time, up-to-date information on the drivable paths ahead. Unedited Ride in Mobileye's Self-Driving Car - YouTube 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. MADISON, Wis. Does comparing Intels EyeQ 5 with Nvidias Xavier make sense? This optimized assignment ensures the EyeQ5 provides "super-computer" capabilities within a low-power envelope to enable price-efficient passive cooling. All the cameras, radar, and lidar sensors give the vehicle 360-degree coverage of the world around it. At CES, the automotive chip giant also announced a pair of 7-nm processors for ADAS: the EyeQ 6L and EyeQ 6H. You must Register or STs products are found everywhere today, and together with our customers, we are enabling smarter driving and smarter factories, cities and homes, along with the next generation of mobile and Internet of Things devices. We are thrilled to be working with Mobileye. Or do we expect sensors to send raw data to the master ECU? 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. 3 0 obj unparalleled performance, while requiring fewer TOPS and The vision processor market is predicted to have an impressive Compound Annual Growth Rate (CAGR) of 90% from 2018 to 2024. Datasheet Description The MP86905 is a monolithic half-bridge with built-in internal power MOSFETs and gate drivers. SoCSystem on ChipEyeQ5SoCDenverton BMW2016 BMW. CES 2021: Under the Hood with Professor Amnon Shashua A peek inside Mobileye's EyeQ5 - Part 2 - EE Times India That is the question. ST will also contribute to the overall safety- and security-related architecture of the product. 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. Features include any-angle vehicle detection and lane detection. with its intended software needs in mind. Is EyeQ5 capable of decision making, too? - Interface with cross-functional teams to understand the Requirements and implement the Software 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. %PDF-1.5 The chip adds internal redundancies for safety as well as a security subsystem. New Mobileye EyeQ Ultra Will Enable Consumer AVs 24-V, 3-, 2-, and 1-Phase Step-Down Driverless Controller for Automotive ADAS Applications Data Sheet. Mobileye unveils 'super-computer' chip to power fully autonomous Home AI Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate. Mobileye says it shipped 17.4 million systems last year, which means 17.4 . Rushinek made it clear that the EyeQ5 accelerators arent a licensed IP. Simply put, Xavier has a far more powerful AI engine than EyeQ5. Mobileyes investment in several programmable domain-specific accelerator families is enabled by its focus on the ADAS and autonomous- driving markets. How much data analysis is each sensor expected to do before sending data to the master ECU? www.electronicdesign.com is using a security service for protection against online attacks. Hardware : Intel Denverton,Mobileye EyeQ5,Aurix TC29x - Analyze and Review Requirements (SYS.2) for HPAD Onboard Communication and External . This browser is out of date and not supported by st.com. >@FxP_v5^U d(8 oeLg(7=f!7Koz9G=7^ _2i~p`\G>%RMG!+]>[a \&'jW./^#/$? Mobileye said the EyeQ Ultra pumps out performance that equals 10 of its latest EyeQ 5 chips combined in a very power efficient envelope of less than 100 W. The EyeQ 5 is set to be used in production vehicles in 2022. Autonomous driving requires fusion processing of dozens of sensors, including high-resolution cameras, radars, and LiDARs. This escalating specsmanship, however, speaks volume about Intels commitment to muscle back into the automotive chip market, noted McGregor. We believe this is also true for the broader set of algorithms making up ADAS and AV.. 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. Weve known that ST/Mobileye team has used STs FD-SOI process technology for previous EyeQ series of vision SoCs. Mobileye today introduced the EyeQ Ultra, a 5nm IC designed for autonomous driving to be put into silicon in 2023. The ST/Mobileye team has not disclosed either the node (10nm or below) or the foundry partner. Supporting REM mapping and localization to provide L2+ But the company offered no details on TOPS or watts on the entire platform available yet. Qualcomm Introduces SnapDragon Ride Compute Platform For Automated Pleaselog in to show your saved searches. It achieves 70A of continuous output current over a wide input supply range. The autonomous driving giant is also developing in-house lidar sensors to complement the radar systems it is also building in-house. MobileyeDrive4133LiDAR6LiDAR6 LiDAR UdelvMobileyeDrive2023202835000 20212Transdev In short, in his opinions, machine learning demands custom architecture. It is equivalent to two EyeQ5s in terms of computing power. Mobileye CEO Amnon Shashua said that, while it looks less potent than chips from rivals Qualcomm and NVIDIA, the EyeQ Ultra chip has more than enough computing power to control a self-driving vehicle. background-color: #003352 !important; 21281CB. tI= l)(nc0z) Meet EyeQ6: Our Most Advanced Driver-Assistance Chips Yet - Mobileye First silicon for the EyeQ Ultra is expected in . Unveiled at CES 2022, the EyeQ6H will support premium advanced driver-assistance systems or partial autonomous vehicle capabilities with full surround. [69] [68] Aftermarket [ edit] Consumer AV is the end game for the industry, said Prof. Amnon Shashua, Mobileye president and chief executive officer. %PDF-1.4 $ cd eyeq $ ls /lib/modules/ 3.2.-23-generic $ make. Reducing power is growing in importance for electric vehicles as self-driving systems will have to run off the same battery as the powertrain. Introduction This document introduces key EyeQ4 digital 1.0V core rail specification concepts and thermal 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. Intel's Mobileye reveals three new autonomous vehicle SoCs at CES Mobileye introduces the EyeQ Ultra, the company's most advanced, highest performing system-on-chip purpose-built for autonomous driving. 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 executive vice president, Automotive and Discrete Group. __Figure 1:__ *EyeQ5 block diagram (Source: Mobileye) *. 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 . MP86905 | Intelli-PhaseTMSolution with Integrated HS-/LS-FETs and Allegro MicroSystems. 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. Just like edge computing, this is edge mappingusing anonymized and generic data captured by vehicle-mounted cameras and computer vision for instant map updates. 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. The chip is supplemented by four classes of proprietary accelerators, each tailored for a specific set of tasks. the only scalable automotive-grade SoC that can truly address the EyeQ5 is Mobileye's newest SoC fabricated by using TSMC's 7nm process technology. from a windshield-mounted, low-voltage front-camera driver-assist First silicon for the EyeQ Ultra is expected in late 2023 with full automotive-grade production in 2025. Mobileye introduces EyeQ Ultra - a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving. PDF EyeQ4 SoC Digital 1.0V Core Power Rail - Texas Instruments It also supports LPDDR5X memory. You will be redirected once the validation is complete. The EyeQ Ultra takes Mobileye performance to a whole new level. Mobileye said it has also agreed to supply its road-mapping data to Ford and Volvo. Mobileye EyeQ5 - High Core Rail Power-Supply Design Using TPS59632-Q1 and TPS59603-Q1 Rama Venkatraman, Meir Battan . Magna Brings EyeQ5-Based Driver Assistance System to Market <>>> Mobileye2023 endobj By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. Intel's Mobileye has a plan to dominate self-drivingand it might work With EyeQ Ultra, it is upping the ante in its battle with Nvidia and Qualcomm to power autonomous cars in the coming decade. 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.