} Last year, the company announced that it started testing prototypes of self-driving cars in several major cities, including New York. Read what to know about Mobileye. Rushinek said, Google's TPU confirms our belief in one area specifically neural networks where Google too found a way to be more efficient than reusing existing products. Mobileye is also keeping costs in check by cramming more performance in a single monolithic chip. Today, Mobileye makes one of the most advanced collision avoidance systems on the market,. processing of dozens of sensors, including high-resolution cameras, According to Shapiro, Xavier, which is already in bring up now, will be in volume production in 2019. Marking a leap in the evolution of the EyeQ family of SoCs, EyeQ Ultra packs the performance of 10 EyeQ5s in a single package. Allegro MicroSystems. EyeQ5 is built on previous accelerators used in Mobileye's vision SoCs from EyeQ2 to EyeQ4 designed to enable advanced ADAS applications. Forget the process-node nonsense. Utilizing the right mixture of accelerators to match the <>stream The key element in our system is in its ability to mimic how humans understand the roadscape. For this purpose, the EyeQ5s dedicated IOs support at least 40Gbps data bandwidth. The root of trust is created based on a secure boot from an encrypted storage device. Intels autonomous driving unit has become an early leader in locking down the brains of self-driving cars. 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. radars, and lidars for a full self-driving system. You will be redirected once the validation is complete. This enables system integrators to support over-the-air software updates, secure in-vehicle communication, etc. www.electronicdesign.com is using a security service for protection against online attacks. // No product or component can be absolutely secure. Weve known that ST/Mobileye team has used STs FD-SOI process technology for previous EyeQ series of vision SoCs. In contrast, EyeQ4, a previous generation vision SoC, had 4 CPU cores and six Vector Microcode processors. 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. functionalities, Supporting REM mapping and localization to provide L2+ There are also 48 general-purpose accelerator cores, including eight programmable cores based on its coarse-grained reconfigurable architecture (CGRA); 16 cores based on its hybrid very-long instruction word (VLIW) and single-instruction, multiple-data (SIMD) architecture; as well as 24 "barrel-threaded" CPU cores. endobj Next page: L4/L5 cars need how much TOPS? Modern server applications need uninterrupted service. Or do we expect sensors to send raw data to the master ECU? ;h^%#D[A&(B5%u+.pC^-/,MiM5(X+0U9s/[&?S\BINc (Credit: Mobileye, an Intel Company), Mobileye introduces the next-generation EyeQ system-on-chip for advanced driver-assistance systems. Further information can be found at www.st.com. 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. 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. Just like edge computing, this is edge mappingusing anonymized and generic data captured by vehicle-mounted cameras and computer vision for instant map updates. Mobileye Drive is a Level 4 self-driving system. 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. %PDF-1.5 MADISON, Wis. Does comparing Intels EyeQ 5 with Nvidias Xavier make sense? Now, Intel is counting on its $15 billion Mobileye acquisition to redeem itself in the automotive world. There are also GPU, vision processing and image signal. More at the technical level, he explained, There are 16 virtual MIPI channels and more than 16 sensors can be supported by multiplexing several physical sensors on a single virtual MIPI channel., DownloadA Systematic Analog Verification Approach Using Analog FastSPICE Harmonic Balance. As the software required to make a vehicle safely drive itself becomes ever more complex, it takes significantly . From general-purpose CPU cores to high compute density Mobileye said prototypes of the Ultra will be ready in 2023, with full automotive-grade production set in 2025. But last year, Intel said it planned to spin out a portion of its autonomous driving unit, in a bet that the car chip business will become an increasingly important market for the chip vendor. >@FxP_v5^U d(8 oeLg(7=f!7Koz9G=7^ _2i~p`\G>%RMG!+]>[a \&'jW./^#/$? EyeQ Ultra integrates the performance of 10 EyeQ5s in one package. So you need the kernel headers to compile EyeQ. N/v [`Mm50N[\EIKUa?WgDm8AoGwO MD,`%57F2N It's a highly efficient, scalable, and proven SoC that is driving the mobility revolution. Operational Solutions Manager at Northumbrian Water Group. Mobileye introduces the EyeQ Ultra, the company's most advanced, highest performing system-on-chip purpose-built for autonomous driving. 3 0 obj If so, is it Mobileyes DSP or is it licensed from elsewhere? 1 0 obj You should not place undue reliance on these statements. MobileyeMobileyeEyeQ52020FAD. ;Q*`_v8hHLt?lh6$y+`Bh:;%(!=F{0;8prmm]0`_x3Hd6vi8RbiQ#"$bXq`OgzvryX|3~vo&ucGpiK886&}zqflOY@BB8_j""~}/ Tpp!&rCg0/%"Wm'. endobj orpassword? It also wins on power efficiency, he claimed. It's a one-box windshield solution capable of supporting all core ADAS applications. Miles are mapped every day detecting over 150 million signs, 50 million poles and more. When Ford transitioned from Intel microcontrollers to Motorola, Intel lost presence in the automotive market. Home AI Intels EyeQ 5 vs. Nvidias Xavier: Wrong Debate. EyeQ is the brain behind everything Mobileye does - from driver-assistance to self-driving technologies. Mobileyes proven EyeQ architecture lays the foundation for EyeQ Ultra. Asked about EyeQ4, Rushinek confirmed that EyeQ4 currently sampling is produced using 28nm FD-SOI. 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. At CES, the automotive chip giant also announced a pair of 7-nm processors for ADAS: the EyeQ 6L and EyeQ 6H. $ cd eyeq $ ls /lib/modules/ 3.2.-23-generic $ make. 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 . However, the team will turn to FinFET 10nm or below for EyeQ5 chips. (Credit: Mobileye, an Intel Company). 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.. 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. . The EyeQ5 continues Mobileyes long-standing cooperation with STMicroelectronics. Intel's IPO of Mobileye will generate cash for the company to build more fabs and to get back on track against competitors. Described as a single package AV-on-chip supercomputer, Mobileye's EyeQ Ultra driving touts a maximum performance and efficiency at 176 TOPS. Mobileye said Geely will be using the technology, called SuperVision, in "high volume.". 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 root of trust is created based on a secure boot from an encrypted storage device. 2 0 obj The SDK may also be used for prototyping and deployment of Neural Networks, and for access to Mobileye pre-trained network layers. 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. By 2005, Intel announced it would discontinue production of allits automotivemicrocontroller chips. Supervisor open drain or open collector channel sot-23-3. MobileyeDrive4133LiDAR6LiDAR6 LiDAR UdelvMobileyeDrive2023202835000 20212Transdev Mobileye started sampling the EyeQ 6L last year, and it is set to enter production by the middle of 2023. It also will offer a range of features . Please log in to show your saved searches. If so, why are the two giants fighting tooth and nail to one-up on each other with their SoC specs? %PDF-1.4 /* Add your own Mailchimp form style overrides in your site stylesheet or in this style block. Mobileye is currently the leader of camera-based ADAS, with products . 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. 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. The companies said the model would use six EyeQ 5 chips and use digital maps generated by Mobileye's Road Experience Management (REM) system, which pools data from all the cars on the road with Mobileye hardware. Mobileye had a very public split with Tesla back in 2016, but it continues to do business with a lot of other carmakers. 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. This one-box windshield solution delivers more deep-learning TOPS at ultra-low power for highly efficient entry and premium (L2) ADAS. Supporting REM mapping and localization to provide L2+ Rushinek said, EyeQ5 supports a few standard communication channels: PCIe, SPI, Gigabit Ethernet, CAN-FD, UART. Dont have an Intel account? The EyeQ Ultra can be paired with a separate microcontroller (MCU) for ASIL-D systems, Mobileye said. Mobileye has built the EyeQ5s security defenses based on the integrated Hardware Security Module. The EyeQ Ultra is the "crowning jewel" of its product line, Shashua said, likening it to an "autonomous-vehicle-on-a-chip.". The EyeQ6L will be the successor to the EyeQ4 SoC in a package that is just 55 percent the size of the EyeQ4. This will produce the performance isolation kernel module called perfiso.ko for your running kernel. What sort of bus does it support and how is that bus protected? Introduction This document introduces key EyeQ4 digital 1.0V core rail specification concepts and thermal "It is not all about TOPS," Shashua said during a press conference at CES this month. First silicon for the EyeQ Ultra SoC is expected at the end of 2023, with full automotive-grade production in 2025. 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. By optimizing for efficiency, EyeQ Ultra unlocks the AV potential for safer roads and reduced congestion for consumers. // Intel is committed to respecting human rights and avoiding complicity in human rights abuses. Autonomous driving requires an unprecedented level of focus on functional safety. the only scalable automotive-grade SoC that can truly address the When Mobileye announced the EyeQ5, the company talked about fully programmable accelerators. The Mobileye technology really changes the game [] and this is helping us manage our networks and keep our customers' water flowing. . www.electronicdesign.com is using a security service for protection against online attacks. Mobileye is committed to respecting your privacy, including but not only by complying with applicable data protection and privacy laws. #mc_embed_signup{background-color: #f2f2f2; padding: 20px; margin: 20px 0; clear:left; font:14px Helvetica,Arial,sans-serif; width:100%;} Why go FinFET? from a windshield-mounted, low-voltage front-camera driver-assist In 2015, the Companys net revenues were $6.90 billion, serving more than 100,000 customers worldwide. Unveiled at CES 2022, the EyeQ Ultra aims to provide enough processing power for what experts call "Level 4" autonomous driving, which means that cars can operate in self-driving mode in most, but not all, situations. \uPP42R\P36w+B4,^{p It is expected out next month, according to Shashua. // Your costs and results may vary. The EyeQ5 continues Mobileye's long-standing cooperation with STMicroelectronics. NEWS HIGHLIGHTS. Tailored specifically to deliver trusted mobility solutions, EyeQ is There's more than a single programming model involved. However, common to all the accelerators is they're programmed in a version of the C language extended with features mapping to their specific hardware architecture. He explained that this is true for most accelerators on the market., Mobileyes heterogeneous accelerators are optimised for a wide variety of computer vision, machine learning and signal processing tasks, according to Rushinek. It began sampling last year and is due to reach start of production by the middle of 2023. It also supports LPDDR5X memory. endstream endobj 118 0 obj <>stream How much data analysis is each sensor expected to do before sending data to the master ECU? EyeQ5 obviously wont be the only chip inside a vehicle. The EyeQ4 chipsets are developed by Mobileye and manufactured by STMicroelectronics using the proprietary 28nm Fully Depleted Silicon On Insulator (FD-SOI) low power consumption technology.. (Mr|3xw?-Hv%1W]qnA)Ue(;8tc 40O7&}mk s=VL"]46`,Z`b=^5u55] W0ezx}h/PRjgT$=WiNd'>*#UV28u8DT?M5}"e4:xMi]+VFL+Mg~nzs \) . Mobileye designed the EyeQ Ultra after having first built an AV to understand exactly what a self-driving vehicle needs to operate at a very high meantime between failures. The chip includes 64 such cores, including 16 convolutional neural network (CNN) accelerators. Both the TPS59632-Q1 and TPS59603-Q1 devices are AEC Q-100 qualified to support the automotive At CES, the company said that it continues to land deals to supply self-driving car brains to car companies. Mobileye, Intel Corp's Israel-based autonomous driving unit, . Technical Details EyeQ5s proprietary accelerator cores are optimized for a wide variety of computer-vision, signal-processing, and machine-learning tasks, including deep neural networks. This process is automatic. The first one is an assistive robot that substitutes for lost limb movements. This most advanced ADAS SoC in the EyeQ family will begin sampling this year and is due to begin production by the end of 2024. You must Register or www.electronicdesign.com is using a security service for protection against online attacks. endobj Mobileye began with the vision of reducing vehicle collisions and resulting injuries and fatalities. Nvidia called us and cried foul. Mobileye introduces EyeQ Ultra - a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving. :. #mc_embed_signup form { padding: 0px !important; text-align: left !important; } Contact us today to learn more about Mobileye Data Services and receive a data sample. 21281CB. 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. First silicon for the EyeQ Ultra is expected in . But what exactly are those cores inside EyeQ5 processing? Mobileye has promoted its ADAS systems as a stepping stone for self-driving cars. It is equivalent to two EyeQ5 SoCs in terms of computing power . You can also try the quick links below to see results for most popular searches. Mobileye said Ultra is not required to run its in-house software, which allows auto giants to buy the hardware or software la carte and run their in-house apps on top of themor buy the full set from Mobileye. These statements are only predictions based on each of STMicroelectronics and Mobileyes current expectations and projections about future events. That is the question. Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. First silicon for the EyeQ Ultra is expected in late 2023 with full automotive-grade production in 2025. stream Proven Mobileye EyeQ architecture underpins EyeQ Ultra, maximizing performance and efficiency at 176 TOPS (tera operations per second). The MP86905 achieves 50A of continuous output current over a wide input supply range. Both EyeQ4 and EyeQ5 can support both goals specific vision processing, as well as master ECU, he added. *>t}U2FPl4z 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. 24-V, 3-, 2-, and 1-Phase Step-Down Driverless Controller for Automotive ADAS Applications Data Sheet. Consider that modern browsers: So why not taking the opportunity to update your browser and see this site correctly? The MP86957 is a monolithic half-bridge with built-in internal power MOSFETs and gate drivers. <> Of course it was, said Jim McGregor, founder and principal analyst at Tirias Research. When Mobileye announced EyeQ5, the company casually mentioned its support for an autonomous-grade standard operating system. Exactly whose OS is Mobileye referring to? Sign up here (Credit: Mobileye, an Intel Company), Mobileye introduces the next-generation EyeQ system-on-chip for advanced driver-assistance systems. [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. Thanks! Rushinek said that EyeQ5 "will feature the latest generation of accelerators found in Mobileye's previous SoCs." The accelerators are heterogeneous, he said. 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. 1 Based on Mobileye EyeQ5 TOPS performance expectations vs. NVIDIA claimed Xavier platform DL Performance of 30 TOPS at 30W. The chip is supplemented by four classes of proprietary accelerators, each tailored for a specific set of tasks. Other names and brands may be claimed as the property of others. ~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. 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.. 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." Mobileyes investment in several programmable domain-specific accelerator families is enabled by its focus on the ADAS and autonomous- driving markets. EyeQ is a kernel module that implements a queueing discpline. Pleaselog in to show your saved searches. For our industry, this is the next generation. Mobileye today introduced the EyeQ Ultra, a 5nm IC designed for autonomous driving to be put into silicon in 2023. EyeQ510FinFET8CPU18Mobileye The sensor-fusion process has to simultaneously grab and process all the sensors data. width: 70px; This diversity of accelerator architectures enables applications to save both computational time and energy by using the most suitable core for every task. DownloadTraceability as a Productivity Tool. LAS VEGAS, Jan. 4, 2022 Mobileye today introduced the EyeQ Ultra, the companys most advanced, highest performing system-on-chip (SoC) purpose-built for autonomous driving. He added, FFT (Fast Fourier Transform) processing needed for radars and ultrasound could efficiently run on the VMP. Sign in here. 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. Qualcomm SnapDragon Drive Pilot compute platform for automated vehicles. 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. 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. The Mobileye EyeQ5 processors are each claimed to generate 24 trillion deep learning operations per second (TOPS) at 10 W each. different EyeQ models needs. The autonomous driving giant is also developing in-house lidar sensors to complement the radar systems it is also building in-house. Words such as believes, intends, expects, projects, anticipates, and future or similar expressions are intended to identify forward-looking statements. This centralized solution will provide all ADAS L2+ functionalities, multi-camera processing (including parking cameras), and will host third-party apps such as parking visualization and driver monitoring. 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. EyeQ5 uses a 7nm FinFET process . 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. Further information about Mobileye can be found at: http://www.mobileye.com/. Consumer AV is the end game for the industry, said Prof. Amnon Shashua, Mobileye president and chief executive officer. system, through a surround vision premium driver-assist solution, to 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. 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. Login to post a comment. EyeQ5 has advanced multi-threaded processing units (general purpose CPU and the MPC core) offering plenty of power for decision making and high level fusion, Rushinek explained. You can easily search the entire Intel.com site in several ways. Krzanich claimed that EyeQ 5 designed by Intel subsidiary Mobileye can deliver more than twice the deep-learning performance efficiency than Nvidias Xavier SoC. This escalating specsmanship, however, speaks volume about Intels commitment to muscle back into the automotive chip market, noted McGregor. 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. Allegro MicroSystems. We have 15,000 miles of water mains and 18,000 miles of sewers; it's incredibly time consuming and costly to maintain maps of our assets as they grow and change. You can find available headers on your system in /lib/modules . #mc_embed_signup .button { Aa 4 TA(JfYd{(T_myfj+>YhYCb@/p_?Y7c/}'|OT_;qXn?YMfgy}ufSkcz0}l~cIoGFg?hiG0:qdF8#M_Qp^/+_Fd_*&S/WE\>n:{`Eam>HC Intels 8061 microcontrollers and its derivatives were reportedly used in almost all Ford automobiles built from 1983 to 1994. EyeQ5 is designed for systems that meet the highest grade of safety in automotive applications (ASIL B(D), according to the ISO 26262 standard). This efficiently designed SoC builds on seven generations of proven EyeQ architecture to deliver exactly the power and performance needed for AVs, which are all but certain to be all-electric vehicles. 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.. Intel technologies may require enabled hardware, software or service activation. x]IrWy 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. 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. Mobileyes websites and communications are subject to our Privacy Notice and Terms of Use. The service requires full JavaScript support in order to view this website. Mobileye began testing autonomous vehicles in Munich in 2020, after obtaining an AV testing permit recommendation from the independent technical service provider TV SD. :pb[>S9iQ8Kw[Ev]}Y~W[R"b;UtL One thing thats never clear is the issue of a split of hardware and software in processing sensory data. 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. Mobileye chose the Ncore Cache Coherent interconnect and accompanying Resilience Package because it . It was the first city . Autonomous driving requires fusion processing of dozens of sensors, including high-resolution cameras, radars, and LiDARs. In short, in his opinions, machine learning demands custom architecture. 20 Years, 100 Million Vehicles on the Road Efficiency through Unique Architecture of Diversified Accelerators One Automotive-Grade SoC Family, Many https://www.facebook.com/ElectronicDesign, https://www.youtube.com/channel/UCXKEiQ9dob20rIqTA7ONfJg. 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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. ST will also contribute to the overall safety- and security-related architecture of the product. It is equivalent to two EyeQ5s in terms of computing power. Intel acquired Mobileye in 2017 for approximately $15.3 billion. Simply put, Xavier has a far more powerful AI engine than EyeQ5. MobileyeMobileye. EyeQ5 implements two PCIe Gen4 ports for inter-processor communication, which could enable system expansion with multiple EyeQ5 devices or for connectivity with an application processor.