Mobileye has selected Valens Semiconductor’s VA7000 chipsets for its automated and autonomous driving projects.
The chipsets are planned to be implemented to power Mobileye’s in-car sensor-to-compute connectivity for Mobileye EyeQ6 in upcoming automated and autonomous vehicle programmes with global automakers.
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The VA7000 chipsets, compliant with the MIPI A-PHY standard, were selected after Mobileye conducted extensive testing, highlighting their “superior” performance across a variety of parameters.
Valens Semiconductor CEO Gideon Ben-Zvi said: “Our collaboration with Mobileye, a market leader in ADAS and autonomous systems, is validation of the promise made by MIPI A-PHY.
“SoCs can only ever be as good as the sensor data inputs they operate on, and Mobileye’s selection of our VA7000 chipset proves that our solution is well positioned to deliver that data at high accuracy.
“With a transformative company such as Mobileye validating the performance of the Valens VA7000 A-PHY chip, this collaboration marks a significant milestone for the entire automotive industry.”
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By GlobalDataDesigned to meet the demands of next-generation advanced driver assistance systems (ADAS), the chipsets offer high bandwidth and low latency to ensure safety throughout the vehicle’s lifespan.
Mobileye engineering executive vice-president Elchanan Rushinek said: “We are pleased to utilise Valens’ MIPI A-PHY-compliant VA7000 chipsets as a key component of the optical path that supports automated and autonomous driving platforms for this initial customer program.
“MIPI A-PHY delivers efficient and robust high-performance standardized connectivity and we look forward to working with Valens to broaden the MIPI A-PHY ecosystem and deliver this technology to more market-leading automakers.”
Mobileye’s decision to integrate Valens’ chipsets follows its move last year to halt internal development of next-gen frequency modulated continuous wave (FMCW) LiDAR technology.
This shift was influenced by several factors, including advancements in Mobileye’s EyeQ6-based computer vision perception, progress in their proprietary imaging radar, and cost efficiencies in third-party time-of-flight LiDAR units.
