Interpolation method for sparse point cloud at long distance using sensor fusion with Lidar and camera

Mai Saito, Shuncong Shen, Toshio Ito

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

Abstract

LiDAR plays an important role for automated driving systems. However, the limitation of LiDAR is sparse point cloud at a long distance. To solve this problem, we propose a point interpolation method, using sensor fusion with LiDAR and camera.

Original languageEnglish
Title of host publication2021 IEEE CPMT Symposium Japan, ICSJ 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-117
Number of pages2
ISBN (Electronic)9781665440790
DOIs
Publication statusPublished - 2021
Event10th IEEE CPMT Symposium Japan, ICSJ 2021 - Kyoto, Japan
Duration: 2021 Nov 102021 Nov 12

Publication series

Name2021 IEEE CPMT Symposium Japan, ICSJ 2021

Conference

Conference10th IEEE CPMT Symposium Japan, ICSJ 2021
Country/TerritoryJapan
CityKyoto
Period21/11/1021/11/12

Keywords

  • Automotive
  • LiDAR
  • RGB-D
  • Sensor fusion

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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