Ambarella Unveils World’s First Centrally Processed 4D Imaging Radar Architecture for Autonomous Mobility Systems

Ambarella’s Oculii Adaptive AI Radar Software and Highly Efficient 5nm CV3 AI Domain Control SoCs Enable Central Processing and Fusion of Raw 4D Imaging Radar Data for First Time

SANTA CLARA, Calif., Dec. 06, 2022 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced the world’s first centralized 4D imaging radar architecture, which allows both central processing of raw radar data and deep, low-level fusion with other sensor inputs—including cameras, lidar and ultrasonics. This breakthrough architecture provides greater environmental perception and safer path planning in AI-based ADAS and L2+ to L5 autonomous driving systems, as well as autonomous robotics. It features Ambarella’s Oculii radar technology, including the only AI software algorithms that dynamically adapt radar waveforms to the surrounding environment—providing high angular resolution of 0.5 degrees, an ultra-dense point cloud up to 10s of thousands of points per frame and a long detection range up to 500+ meters. All of this is achieved with an order of magnitude fewer antenna MIMO channels, which reduces the data bandwidth and achieves significantly lower power consumption than competing 4D imaging radars. Ambarella’s centralized 4D imaging radar with Oculii technology provides a flexible and high performance perception architecture that enables system integrators to future proof their radar designs.

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“There were ~100M radar units manufactured in 2021 for automotive ADAS,” explains Cédric Malaquin, Team Lead Analyst of RF activity at Yole Intelligence, part of Yole Group. “We expect this volume to grow 2.5-fold by 2027, given the more demanding regulations on safety and more advanced driving automation systems hitting the road. Indeed, from the current 1-3 radar sensors per car, OEMs will move to 5 radar sensors per car as a baseline (1). Besides, there is an exciting debate on the radar processing partitioning and many developments associated. One approach is centralized radar computing that will enable OEMs to offer significantly higher performance imaging radar systems and new ADAS/AD features while simultaneously optimizing the cost of radar sensing.”