Fast LiDAR imaging of sparse targets with compressive Hadamard samples

Vladislav Kravets, Adrian Stern

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

Abstract

An efficient adaptive sensing technique for LiDAR imaging of sparse targets with a Hadamard sensing matrix is introduced. A fast, real-time reconstruction is performed by a convolutional neural network.

Original languageEnglish
Title of host publication3D Image Acquisition and Display
Subtitle of host publicationTechnology, Perception and Applications, 3D 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - 1 Jan 2020
Event3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2020 - Part of Imaging and Applied Optics Congress - Virtual, Online, United States
Duration: 22 Jun 202026 Jun 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2020 - Part of Imaging and Applied Optics Congress
Country/TerritoryUnited States
CityVirtual, Online
Period22/06/2026/06/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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