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Metasurface-enhanced light detection and ranging technology

Engineering and Technology

Metasurface-enhanced light detection and ranging technology

R. J. Martins, E. Marinov, et al.

Discover the groundbreaking LiDAR technology developed by leading researchers Renato Juliano Martins, Emil Marinov, M. Aziz Ben Youssef, and their team. This innovative system employs ultrafast deflectors with large area metasurfaces to deliver a remarkable 150° field of view and kHz frame rates, paving the way for enhanced perception in advanced driver-assistance systems and robotics.... show more
Abstract
Deploying advanced imaging solutions to robotic and autonomous systems by mimicking human vision requires simultaneous acquisition of multiple fields of views, named the peripheral and fovea regions. Among 3D computer vision techniques, LiDAR is currently considered at the industrial level for robotic vision. Notwithstanding the efforts on LiDAR integration and optimization, commercially available devices have slow frame rate and low resolution, notably limited by the performance of mechanical or solid-state deflection systems. Metasurfaces are versatile optical components that can distribute the optical power in desired regions of space. Here, we report on an advanced LiDAR technology that leverages from ultrafast low FoV deflectors cascaded with large area metasurfaces to achieve large FoV (150°) and high framerate (kHz) which can provide simultaneous peripheral and central imaging zones. The use of our disruptive LiDAR technology with advanced learning algorithms offers perspectives to improve perception and decision-making process of ADAS and robotic systems.
Publisher
Nature Communications
Published On
Sep 29, 2022
Authors
Renato Juliano Martins, Emil Marinov, M. Aziz Ben Youssef, Christina Kyrou, Mathilde Joubert, Constance Colmagro, Valentin Gâté, Colette Turbil, Pierre-Marie Coulon, Daniel Turover, Samira Khadir, Massimo Giudici, Charalambos Klitis, Marc Sorel, Patrice Genevet
Tags
LiDAR technology
metasurfaces
deflectors
ADAS
robotics
perception
learning algorithms
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