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Noam Arkind on radar advantages

From Beyond Innovation S3: Noam Arkind, Arbe Robotics · · Beyond Innovation TV

“The advantage of radar is that it's cheap, easily adopted, has Doppler motion perception and is unaffected by weather; the downside is resolution, but we believe this is solvable — we can generate higher‑resolution radar images that allow perception applications to run on the radar itself.”

Noam Arkind
CTO & Co-Founder, Arbe Robotics
Controversial radar advantagessensor comparisonautonomous perceptionradar vs lidar

On , Noam Arkind, CTO & Co-Founder at Arbe Robotics, spoke about radar advantages during Beyond Innovation S3: Noam Arkind, Arbe Robotics on Beyond Innovation TV.

Beyond Innovation S3: Noam Arkind, Arbe Robotics
Watch on YouTube at 3:06
Beyond Innovation S3: Noam Arkind, Arbe Robotics
Beyond Innovation TV
Watch on YouTube at 3:06
Safe, autonomous vehicles still pose a significant technological challenge due to the limitations of current sensor technologies. Beyond Innovation's Anthony Lacavera sits down with Noam Arkind, Co-founder & CTO, Arbe Robotics, to discuss their high resolution, detailed image hardware that provides a high fidelity perception of the environment around an autonomous vehicle. #interview Subscribe for more content on the most exciting technologies in development around the globe. Learn more about the program at www.beyondinnovation.tv.
Noam Arkind

About Noam Arkind

CTO & Co-Founder · Arbe Robotics

In a March 2024 interview on *Beyond Innovation*, Noam Arkind discussed Arbe Robotics’ approach to developing radar for autonomous vehicles. Arkind said the company began by focusing on autonomy and concluded that a reliable, low-cost sensor was needed, leading them to build a radar system. He stated that traditional automotive radar suffered from low resolution and detail, and that Arbe’s system provides a high-resolution image with a large amount of data. Arkind noted that the processing requirements were unsolvable in software, so the company designed custom silicon optimized for radar processing, which he described as delivering higher performance than other suppliers at a low cost. Arkind also addressed the radar-versus-lidar debate, citing radar’s advantages as low cost, ease of adoption, Doppler motion perception, and weather resistance, while acknowledging its resolution limitations. He expressed confidence that higher-resolution radar images enabling perception applications are achievable. Arkind predicted that autonomous driving will develop in stages, with an initial phase using radar, lidar, and cameras together to achieve reliability, a process he said could take years.

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