Low intensity LiDAR using compressed sensing and a photon number resolving detector

Yoni Sher, Lior Cohen, Daniel Istrati, Hagai S. Eisenberg*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

LiDAR (laser based radar) systems are a major part of many new real-world interactive systems, one of the most notable being autonomous cars. The current market LiDAR systems are limited by detector sensitivity: when output power is at eye-safe levels, the range is limited. Long range operation also slows image acquisition as ight-time increases. We present an approach that combines a high sensitivity photon number resolving diode with machine learning and a micro-mechanical digital mirror device to achieve safe and fast long range 3D scanning.

Original languageAmerican English
Title of host publicationEmerging Digital Micromirror Device Based Systems and Applications X
EditorsBenjamin L. Lee, Michael R. Douglass
PublisherSPIE
ISBN (Electronic)9781510615779
DOIs
StatePublished - 2018
EventEmerging Digital Micromirror Device Based Systems and Applications X 2018 - San Francisco, United States
Duration: 29 Jan 201830 Jan 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10546
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceEmerging Digital Micromirror Device Based Systems and Applications X 2018
Country/TerritoryUnited States
CitySan Francisco
Period29/01/1830/01/18

Bibliographical note

Publisher Copyright:
© 2018 SPIE.

Keywords

  • LiDAR
  • compressed sensing
  • imaging
  • photon counting

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