Calibration of Real-Time LIDAR Data with Static 3D Image

Yuta Sone, Katsuki Teraoka, Kenta Azuma, Ryoichi Shinkuma, Gabriele Trovato, Koichi Nihei, Takanori Iwai

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

Abstract

This paper proposes a system to improve the visibility of real-time Light-Detection-and-Ranging (LIDAR) data by enabling calibration with pre-created three-dimensional (3D) images. The proposed system automatically selects suitable frames to periodically maintain calibration, and we demonstrate its effectiveness through experiments.

Original languageEnglish
Title of host publication2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1072-1073
Number of pages2
ISBN (Electronic)9798350304572
DOIs
Publication statusPublished - 2024
Event21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States
Duration: 2024 Jan 62024 Jan 9

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)2331-9860

Conference

Conference21st IEEE Consumer Communications and Networking Conference, CCNC 2024
Country/TerritoryUnited States
CityLas Vegas
Period24/1/624/1/9

Keywords

  • LIDAR
  • micro-mobility
  • point-cloud data
  • spatial calibration

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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