Mobileye, an Intel company, has launched the EyeQ Kit - its first software development kit (SDK) for the EyeQ system-on-chip that powers driver-assistance and future autonomous technologies for automakers worldwide. Built to leverage the powerful and highly power-efficient architecture of the upcoming EyeQ 6 High and EyeQ Ultra processors, EyeQ Kit allows automakers to utilize Mobileye's proven core technology, while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. "EyeQ Kit allows our customers to benefit from the best of both worlds — Mobileye's proven and validated core technologies, along with their own expertise in delivering unique driver experiences and interfaces. As more core functions of vehicles are defined in software, we know our customers will want the flexibility and capacity they need to differentiate and define their brands through code." - Prof. Amnon Shashua, Mobileye president and chief executive officer
How it Works: Through EyeQ hardware and software, automakers have access to a broad set of Mobileye solutions, including computer vision, REM crowdsourced mapping, and RSS-based driving policy. Using EyeQ Kit, automakers can further leverage the power of Mobileye's system-on-chip to augment the advanced driver functions with a look and feel that is unique to their brands. And as the visual demands for interaction and communication between drivers and vehicles grows more complex, EyeQ Kit gives automakers a new path to tailor critical information flows. EyeQ Kit will help support features such as surround visualization, automated lane-keeping, and road-sign recognition through more advanced augmented reality displays. EyeQ Kit was developed by hundreds of Mobileye engineers drawing on deep experience across Intel and Mobileye, with experts in compilers and development environments such as OpenCL standards, leveraging compilation frameworks used for intensive computing and deep learning. This approach allows automakers to develop their own applications easily and efficiently. It also opens the ability to co-host third-party applications, which lowers the costs of integrating other chips. Why it Matters: From general-purpose CPU cores to high compute-dense accelerators - including deep-learning neural networks - EyeQ has a scalable and modular architecture that seeks to achieve high performance while offering a suitable power efficiency to deploy artificial intelligence at the edge for automotive applications. Previous generations of the EyeQ chip have been deployed in more than 100 million vehicles, with dozens of the world's largest automakers using them to provide safety and driver-assistance features in hundreds of models worldwide. Now, EyeQ Kit aims to reduce development costs, accelerate time to market and enable hardware vendor flexibility for the full development cycle - from conception to deployment and performance tuning. "Mobileye's core technologies of computer vision, driving policy, REM and RSS are driven by purpose built SoCs allowing for scale and efficiency. Automakers can now build on top of Mobileye's core technologies while benefiting from our diverse set of accelerators purpose built for ADAS and AV. Automakers can rely on the EyeQ Kit and EyeQ processor family to bring a technologically advanced vision for their brands to life, quickly and efficiently," Shashua said. EyeQ Kit has already been deployed with one major global automaker for future vehicle programs.

(PR) Mobileye Launches EyeQ Kit: New SDK for Advanced Safety and Driver-Assistance Systems

Toolkit builds on two decades of Mobileye safety and driver-assistance technology to provide new flexibility for future software-defined vehicles. Download
In July 2022, ​​Mobileye launches the EyeQ Kit to power driver-assistance and future autonomous technologies for automakers. The first software development kit from Mobileye for its EyeQ system-on-chip, EyeQ Kit allows automakers to utilize the company's proven core technology while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. (Credit: Mobileye, an Intel Company)
In July 2022, ​​Mobileye launches the EyeQ Kit to power driver-assistance and future autonomous technologies for automakers. The first software development kit from Mobileye for its EyeQ system-on-chip, EyeQ Kit allows automakers to utilize the company's proven core technology while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. (Credit: Mobileye, an Intel Company)
July 05, 2022 09:00 AM Eastern Daylight Time
SANTA CLARA, Calif.--( BUSINESS WIRE )--What’s new: Mobileye, an Intel company, has launched the EyeQ Kit™ – its first software development kit (SDK) for the EyeQ® system-on-chip that powers driver-assistance and future autonomous technologies for automakers worldwide. Built to leverage the powerful and highly power-efficient architecture of the upcoming EyeQ®6 High and EyeQ®Ultra processors, EyeQ Kit allows automakers to utilize Mobileye's proven core technology, while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. “EyeQ Kit allows our customers to benefit from the best of both worlds — Mobileye's proven and validated core technologies, along with their own expertise in delivering unique driver experiences and interfaces. As more core functions of vehicles are defined in software, we know our customers will want the flexibility and capacity they need to differentiate and define their brands through code.”
– Prof. Amnon Shashua, Mobileye president and chief executive officer
How it Works: Through EyeQ hardware and software, automakers have access to a broad set of Mobileye solutions, including computer vision, REM™ crowdsourced mapping, and RSS -based driving policy. Using EyeQ Kit, automakers can further leverage the power of Mobileye’s system-on-chip to augment the advanced driver functions with a look and feel that is unique to their brands. And as the visual demands for interaction and communication between drivers and vehicles grows more complex, EyeQ Kit gives automakers a new path to tailor critical information flows. EyeQ Kit will help support features such as surround visualization, automated lane-keeping, and road-sign recognition through more advanced augmented reality displays. EyeQ Kit was developed by hundreds of Mobileye engineers drawing on deep experience across Intel and Mobileye, with experts in compilers and development environments such as OpenCL standards, leveraging compilation frameworks used for intensive computing and deep learning. This approach allows automakers to develop their own applications easily and efficiently. It also opens the ability to co-host third-party applications, which lowers the costs of integrating other chips. Why it Matters: From general-purpose CPU cores to high compute-dense accelerators – including deep-learning neural networks – EyeQ has a scalable and modular architecture that seeks to achieve high performance while offering a suitable power efficiency to deploy artificial intelligence at the edge for automotive applications. Previous generations of the EyeQ chip have been deployed in more than 100 million vehicles, with dozens of the world’s largest automakers using them to provide safety and driver-assistance features in hundreds of models worldwide. Now, EyeQ Kit aims to reduce development costs, accelerate time to market and enable hardware vendor flexibility for the full development cycle – from conception to deployment and performance tuning. “Mobileye’s core technologies of computer vision, driving policy, REM and RSS are driven by purpose built SoCs allowing for scale and efficiency. Automakers can now build on top of Mobileye’s core technologies while benefiting from our diverse set of accelerators purpose built for ADAS and AV. Automakers can rely on the EyeQ Kit and EyeQ processor family to bring a technologically advanced vision for their brands to life, quickly and efficiently,” Shashua said. EyeQ Kit has already been deployed with one major global automaker for future vehicle programs. About Mobileye
Mobileye is a leader in the development and deployment of advanced driver assistance systems (ADAS) and autonomous driving technologies and solutions. Mobileye pioneered ADAS technology more than 20 years ago and has continuously expanded the scope of its ADAS offerings, while leading the evolution to autonomous driving solutions. For more information, go to www.mobileye.com . About Intel
Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. 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. To learn more about Intel’s innovations, go to newsroom.intel.com and intel.com . Forward Looking Statements
Statements in this press release that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “goals,” “plans,” “believes,” “seeks,” “estimates,” “continues,” “may,” “will,” “would,” “should,” “could,” and variations of such words and similar expressions are intended to identify such forward-looking statements. Statements that refer to or are based on estimates, forecasts, projections, uncertain events or assumptions, including statements relating to future products and technology and the availability and benefits of such products and technology, expectations regarding customers, market opportunity, and anticipated trends in our businesses or the markets relevant to them, also identify forward-looking statements. Such statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in these forward-looking statements. Important factors that could cause actual results to differ materially are set forth in Intel’s SEC filings, including the company’s most recent reports on Forms 10-K and 10-Q, which may be obtained by visiting our Investor Relations website at www.intc.com or the SEC’s website at www.sec.gov . Intel does not undertake, and expressly disclaims any duty, to update any statement made in this press release, whether as a result of new information, new developments or otherwise, except to the extent that disclosure may be required by law. © Intel Corporation. Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others. Contacts

Mobileye Launches EyeQ Kit: New SDK for Advanced Safety and Driver-Assistance Systems

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Toolkit builds on two decades of Mobileye safety and driver-assistance technology to provide new flexibility for future software-defined vehicles. What’s new: Mobileye, an Intel company, has launched the EyeQ Kit – its first software development kit (SDK) for the EyeQ system-on-chip that powers driver-assistance and future autonomous technologies for automakers worldwide. Built to leverage the powerful and highly power-efficient architecture of the upcoming EyeQ6 High and EyeQUltra processors, EyeQ Kit allows automakers to utilize Mobileye’s proven core technology, while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. Mobileye launches EyeQ Kit, its first software development kit for the EyeQ system-on-chip powering driver-assistance and future autonomous technologies. “EyeQ Kit allows our customers to benefit from the best of both worlds — Mobileye’s proven and validated core technologies, along with their own expertise in delivering unique driver experiences and interfaces. As more core functions of vehicles are defined in software, we know our customers will want the flexibility and capacity they need to differentiate and define their brands through code.”
– Prof. Amnon Shashua , Mobileye president and chief executive officer
How it Works: Through EyeQ hardware and software, automakers have access to a broad set of Mobileye solutions, including computer vision, REM™ crowdsourced mapping, and RSS-based driving policy. Using EyeQ Kit, automakers can further leverage the power of Mobileye’s system-on-chip to augment the advanced driver functions with a look and feel that is unique to their brands. And as the visual demands for interaction and communication between drivers and vehicles grows more complex, EyeQ Kit gives automakers a new path to tailor critical information flows. EyeQ Kit will help support features such as surround visualization, automated lane-keeping, and road-sign recognition through more advanced augmented reality displays. EyeQ Kit was developed by hundreds of Mobileye engineers drawing on deep experience across Intel and Mobileye, with experts in compilers and development environments such as OpenCL standards, leveraging compilation frameworks used for intensive computing and deep learning. This approach allows automakers to develop their own applications easily and efficiently. It also opens the ability to co-host third-party applications, which lowers the costs of integrating other chips. Why it Matters: From general-purpose CPU cores to high compute-dense accelerators – including deep-learning neural networks – EyeQ has a scalable and modular architecture that seeks to achieve high performance while offering a suitable power efficiency to deploy artificial intelligence at the edge for automotive applications. Previous generations of the EyeQ chip have been deployed in more than 100 million vehicles, with dozens of the world’s largest automakers using them to provide safety and driver-assistance features in hundreds of models worldwide. Now, EyeQ Kit aims to reduce development costs, accelerate time to market and enable hardware vendor flexibility for the full development cycle – from conception to deployment and performance tuning. “Mobileye’s core technologies of computer vision, driving policy, REM and RSS are driven by purpose built SoCs allowing for scale and efficiency. Automakers can now build on top of Mobileye’s core technologies while benefiting from our diverse set of accelerators purpose built for ADAS and AV. Automakers can rely on the EyeQ Kit and EyeQ processor family to bring a technologically advanced vision for their brands to life, quickly and efficiently,” Shashua said. EyeQ Kit has already been deployed with one major global automaker for future vehicle programs.

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.

Inside Mobileye's EyeQ Ultra Chip for Future Self-Driving Cars

Mobileye Unveils EyeQ Ultra SoC for Autonomous Driving
Article By : Stefani Munoz
Mobileye's latest SoC for autonomous driving, EyeQ Ultra, touts a maximum performance and efficiency at 176 TOPS. Mobileye announced its EyeQ Ultra system–on–chip at CES, it’s most advanced EyeQ version to date according to the company. Described as a single package AV–on–chip supercomputer, Mobileye’s EyeQ Ultra driving touts a maximum performance and efficiency at 176 TOPS. Built on its seventh-generation EyeQ architecture, and fabbed in a 5nm processing technology, Mobileye claims its EyeQ Ultra SoC can offer performance equivalent to 10 of its EyeQ5s in a single package. EyeQ Ultra will also be able to handle  fully autonomous  Level 4 driving as defined by the Society of Automotive Engineers (SAE), meaning vehicles equipped with EyeQ Ultra will require no human intervention when automated driving features are engaged — though the option for manual input is still available. SAE J3016 levels of driving automation (Source: SAE) (Click image to enlarge)
To fully realize its autonomous driving vision, Mobileye’s EyeQ Ultra relies on four classes of proprietary accelerators: XXN, PMA, VMP and MPC. XXN is a dedicated AI engine for deep learning neural networks, PMA is a programmable CGRA, VMP is a SIMD VLIW machine and MPC are multiple barrel–threaded CPU cores. By combining these four accelerators with additional CPU cores, as well as ISPs and GPUs for visualization, the EyeQ Ultra is capable of “processing input from two sensing subsystems — one camera–only system and the other radar and lidar combined — as well as the vehicle’s central computing system, the high–definition map and driving policy software, to perform highly specific, individual tasks,”  according to Mobileye . It’s interesting to note Mobileye’s decision to support a one-camera only system with an alternative radar and lidar combined sensor. Tesla is notorious for solely relying on cameras. Other automotive companies, however, are debating whether they should opt for two  sensor types , such as camera and radar or camera and lidar, or even in some cases three sensor types, including camera, radar and lidar. A spokesman from Mobileye told EE Times that the decision to support a one-camera only system stems from a necessity for redundant systems. “Mobileye’s approach is to build redundant systems. A camera–only system can stand on its own and a lidar [and] radar system can stand on its own. Each subsystem can support a full operation design. By combining the two separate perception sub–systems we obtain a more robust overall system,” Mobileye’s spokesman said. “The imaging–radars that we are developing would take most of the field of view occupied by todays lidars and leave only the front–facing sector for a lidar to work in a redundant manner with cameras and radar. This will provide a three–way redundancy in the front sector and an overall major cost reduction for the entire sensor configuration as imaging radars are one-fifth to one-tenth the cost of a lidar.”
In tandem with its EyeQ Ultra announcement, Mobileye also unveiled two new EyeQ SoCs specifically designed for ADAS: EyeQ6L and EyeQ6H. The EyeQ6L is the successor to its EyeQ4 chip and is 55 percent of the size of the EyeQ4, offering  advanced deep learning  TOPS with ultra–low power to support L2 ADAS, according to Mobileye. The company began sampling the EyeQ6L last year and plans to production by middle 2023. Mobileye’s EyeQ6L SoC for ADAS (Source: Mobileye) (Click image to enlarge)
The EyeQ6H touts computing power equivalent to two of Mobileye’s EyeQ5 SoCs to better  support virtualization and AI-intensive workloads . Specifically designed with premium ADAS or partial AV capabilities with full surround in mind, the EyeQ6H will fully support ADAS L2 functionalities, offer multi–camera processing as well as host third–party applications such as parking visualization and driver monitoring. Given the joint announcement, some may wonder whether EyeQ6L and EyeQ6H can create a path to using Ultra. A Mobileye spokesman said this isn’t necessarily true. “We see EyeQ Ultra as a deviation from our normal EyeQ evolutions, as this is the first EyeQ to be designed especially for AV, hence the name “Ultra” and not EyeQ7.”
The company says we can expect full-automotive grade production of EyeQ Ultra in 2025. For the time being, EyeQ Ultra’s first silicon is slated for late 2023. But how will the first silicon release compare to the full-automotive grade parts in 2025? Though the first silicon isn’t automotive grade, customers won’t be able to tell much of difference in terms of functionality. “The first silicon released in 2023 will be fully capable of all self-driving functions, ready to begin hitting the road in smaller volumes in 2024. This cut is not automotive grade but will not differ from the production version in functionality,” Mobileye’s spokesman said. “The 2025 silicon will have been put through the automotive qualification process ensuring it can be deployed in volume. This timeline follows the typical automotive SoC production cycle, which begins design validation with engineering samples and proceeds with production parts for product validation.”
Depending on the vehicle production schedules of Mobileye’s customers, we could see adoption of EyeQ Ultra in commercial vehicles as early as 2025, according to Mobileye. This article was originally published on  EE Times . Stefani Munoz is associate editor of EE Times. Prior to joining EE Times, Stefani was an editor for TechTarget and covered a host of topics around IT virtualization trends and VMware technologies.

Mobileye Unveils EyeQ Ultra SoC for Autonomous Driving

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