Cost-effective and robust visual based localization with consumer-level cameras at construction sites

Runqiu Bao, Ren Komatsu, Renato Miyagusuku, Masaki Chino, Atsushi Yamashita, Hajime Asama

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

5 Scopus citations

Abstract

Localization is essential for construction machines navigation. Current construction machines use RTK-GNSS for this purpose. We consider that using on-board cameras with SLAM algorithms to estimate machines' ego-motion and position change would not only be cheaper, but also more robust and widely applicable. To investigate the feasibility of this idea, we installed several consumer cameras on real construction machines and performed experiments at real construction sites. Our experiments show promising results, achieving localization accuracy of about 0.06 meters.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages983-985
Number of pages3
ISBN (Electronic)9781728135755
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 15 Oct 201918 Oct 2019

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/TerritoryJapan
CityOsaka
Period15/10/1918/10/19

Keywords

  • Construction site
  • Consumer camera
  • SLAM

Fingerprint

Dive into the research topics of 'Cost-effective and robust visual based localization with consumer-level cameras at construction sites'. Together they form a unique fingerprint.

Cite this