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Event-driven LiDAR with dynamic neuromorphic processing

  • Matthias Aquilina
  • , Alex Vicente Sola
  • , Paul Kirkland
  • , Ashley Lyons
  • University of Strathclyde

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

We present a novel spiking neural network approach to building 3D LiDAR images from temporal information alone. Our method uses the “spike” events from individually detected photons without the need to construct temporal histograms.
Original languageEnglish
Title of host publicationOptica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP), Toulouse, France, 15–19 July 2024
PublisherOptica Publishing Group
ISBN (Print)9781957171371
DOIs
Publication statusPublished - 2024
Externally publishedYes

Bibliographical note

Paper CM2B.4

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