Metasurface-enhanced light detection and ranging technology

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.

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33450-2
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author 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
author_facet 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
author_sort Renato Juliano Martins
collection DOAJ
description 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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spelling doaj.art-4e6d458db1594db6b827f82de414a0cc2022-12-22T03:24:21ZengNature PortfolioNature Communications2041-17232022-09-011311810.1038/s41467-022-33450-2Metasurface-enhanced light detection and ranging technologyRenato Juliano Martins0Emil Marinov1M. Aziz Ben Youssef2Christina Kyrou3Mathilde Joubert4Constance Colmagro5Valentin Gâté6Colette Turbil7Pierre-Marie Coulon8Daniel Turover9Samira Khadir10Massimo Giudici11Charalambos Klitis12Marc Sorel13Patrice Genevet14Université Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryNAPA-TechnologiesNAPA-TechnologiesUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryNAPA-TechnologiesUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryUniversité Côte d’Azur, Centre National de La Recherche Scientifique, Institut de Physique de NiceSchool of Engineering, University of GlasgowSchool of Engineering, University of GlasgowUniversité Cote d’Azur, CNRS, CRHEA, Rue Bernard GregoryMimicking 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.https://doi.org/10.1038/s41467-022-33450-2
spellingShingle 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
Metasurface-enhanced light detection and ranging technology
Nature Communications
title Metasurface-enhanced light detection and ranging technology
title_full Metasurface-enhanced light detection and ranging technology
title_fullStr Metasurface-enhanced light detection and ranging technology
title_full_unstemmed Metasurface-enhanced light detection and ranging technology
title_short Metasurface-enhanced light detection and ranging technology
title_sort metasurface enhanced light detection and ranging technology
url https://doi.org/10.1038/s41467-022-33450-2
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