Automotive Lidar: Softening The Trade-off Between Ambiguity Range And Speed 

A technical paper titled “Overcoming the limitations of 3D sensors with wide field of view metasurface-enhanced scanning lidar” was published by researchers at Université Côte d’Azur and CRHEA.


“Lidar, a technology at the heart of autonomous driving and robotic mobility, performs 3D imaging of a complex scene by measuring the time of flight of returning light pulses. Many technological challenges, including enhancement of the observation field of view (FoV), acceleration of the imaging frame rate, improvement of the ambiguity range, reduction of fabrication cost, and component size, must be simultaneously addressed so that lidar technology reaches the performance needed to strongly impact the global market. We propose an innovative solution to address the problem of wide FoV and extended unambiguous range using an acousto-optic modulator that rapidly scans a large-area metasurface deflector. We further exploit a multiplexing illumination technique traditionally deployed in the context of telecommunication theory to extend the ambiguity range and to drastically improve the signal-to-noise ratio of the measured signal. Compacting our metasurface-scanning lidar system to chip-scale dimension would open new and exciting perspectives, eventually relevant to the autonomous vehicles and robotic industries.”

Find the technical paper here. Published July 2023.

Marinov, Emil, Renato Juliano Martins, Mohamed Aziz Ben Youssef, Christina Kyrou, Pierre-Marie Coulon, and Patrice Genevet. “Overcoming the limitations of 3D sensors with wide field of view metasurface-enhanced scanning lidar.” Advanced Photonics 5, no. 4 (2023): 046005-046005.

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