4.8 Article

Metasurface-enhanced light detection and ranging technology

Journal

NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-33450-2

Keywords

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Funding

  1. European Research Council proof of concept (ERC POC) under the European Union's Horizon 2020 research and innovation program (Project i-LiDAR) [874986]
  2. CNRS prematuration
  3. UCA Innovation Program (2020 startup deepTech)
  4. French defense procurement agency under the ANR ASTRID Maturation program [ANR-18-ASMA-0006]
  5. Bodossaki Foundation (Athens, Greece)
  6. Agence Nationale de la Recherche (ANR) [ANR-18-ASMA-0006] Funding Source: Agence Nationale de la Recherche (ANR)
  7. European Research Council (ERC) [874986] Funding Source: European Research Council (ERC)

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The article introduces an advanced LiDAR technology that achieves a large field of view and high frame rate by using ultrafast low FoV deflectors and large area metasurfaces, enabling simultaneous peripheral and central imaging zones. The use of this technology with advanced learning algorithms offers potential improvements in perception and decision-making processes of ADAS and robotic systems.
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 degrees) 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. Mimicking human vision with metasurfaces, the authors propose a new paradigm for high field of view and ultrafast LiDAR, achieving performances also relevant for the next generation of imaging system for ADAS and robotic systems.

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