Ambarella’s central 4D imaging radar architecture is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Software and Algorithms category. It is the first centralized 4D imaging radar architecture that allows both central processing of raw radar data and deep low-level fusion with other sensor inputs—including cameras, lidar and ultrasonics.
The central 4D imaging radar architecture combines Ambarella’s highly efficient 5nm CV3-AD AI central domain controller system-on-chip (SoC) and the company’s Oculii adaptive AI radar software. This architecture’s optimized hardware and software provides the industry’s best AI processing performance per watt, for the lowest possible energy consumption, along with the most accurate and comprehensive AI modeling of a vehicle or robot’s surroundings. Ambarella’s Oculii AI radar algorithms uniquely adapt radar waveforms to the environment, achieving high angular resolution (0.5 degrees), an ultra-dense point cloud (10s of thousands of points/frame), and a long 500+ meters detection range, while using an order-of-magnitude fewer antennas for reduced data bandwidth and power consumption versus competing 4D imaging radars. Likewise, this architecture enables processor-less edge radar heads, further reducing both upfront costs and post-accident expenses (most radar modules are located behind the vehicle’s bumpers).
“Ambarella is honored to be selected as a 2024 Edge AI and Vision Product of the Year winner for our Centrally Processed 4D Imaging Radar Architecture, which combines Ambarella’s highly efficient 5nm CV3-AD AI central domain controller system-on-chip and our Oculii adaptive AI radar software,” said Steven Hong, VP and General Manager of Radar Technology at Ambarella. “This breakthrough architecture uniquely allows central processing of raw radar data and deep, low-level fusion with other sensor inputs—including cameras, lidar and ultrasonics. The result is greater environmental perception and safer path planning in ADAS and L2+ to L5 autonomous-driving systems.”
Steven Hong, Vice President and General Manager of Radar Technology, Ambarella
Ambarella’s products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Ambarella’s low-power and high-resolution video compression, image processing, and deep neural network processors and software enable cameras to become more intelligent by extracting valuable data from high-resolution video streams.
This award was presented at the 2024 Embedded Vision Summit, which took place May 21-23 in Santa Clara, CA. The awards program is organized by the Edge AI and Vision Alliance. The Edge AI and Vision Product of the Year Awards celebrate the innovation and achievement of the industry’s leading companies that are enabling and developing products incorporating edge AI and computer vision technologies.
