Single-pixel LIDAR with deep learning optimised sampling

Steven D. Johnson, Neal Radwell, Matthew P. Edgar, Catherine Higham, Roderick Murray-Smith, Miles J. Padgett

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

We present a LIDAR system that compressively samples a scene using a deep-learning optimised sampling basis and reconstruction algorithm. This approach improves scene reconstruction quality compared to an orthogonal sampling method.

Original languageEnglish
Title of host publication2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
Subtitle of host publicationApplications and Technology, CLEO_AT 2020
ISBN (Electronic)9781943580767
DOIs
Publication statusPublished - May 2020
Event2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States
Duration: 10 May 202015 May 2020

Publication series

NameConference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume2020-May
ISSN (Print)1092-8081

Conference

Conference2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/TerritoryUnited States
CitySan Jose
Period10/05/2015/05/20

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