Robust Localization of Mobile Robots Considering Reliability of LiDAR Measurements

Jiwoong Kim, Woo Jin Chung

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

4 Citations (Scopus)

Abstract

In this study, we propose a novel Light Detection and Ranging (LiDAR) sensor-based localization method for localization of a mobile robot. In localization using the LiDAR sensor, localization errors occur when real range measurements differ from reference distances computed from a map. This study focuses on three factors that cause differences between real range measurements and reference distances. The first factor corresponds to optical characteristics of the LiDAR sensor for objects such as glass walls and mirrors. The second factor corresponds to occlusions by dynamic obstacles. The third factor corresponds to static changes in the environment. In practical applications, three factors often simultaneously occur. Although there have been many previous works, robust localization to overcome these three difficulties is still a challenging problem. This study proposes a novel robust localization scheme that exploits only reliable range measurements. A LiDAR sensor-based localization scheme can be successfully executed by utilizing only a few reliable range measurements. Therefore, the computation of reliability plays a significant role. The computation of reliability is divided into two steps. The first step considers characteristics of optical sensors. The second step mainly deals with the effects of obstacles. The observation likelihood model exploits computed reliability for pose estimation. The proposed scheme was successfully verified through various experiments under challenging situations.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Robotics and Automation, ICRA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6491-6496
Number of pages6
ISBN (Electronic)9781538630815
DOIs
Publication statusPublished - 2018 Sep 10
Event2018 IEEE International Conference on Robotics and Automation, ICRA 2018 - Brisbane, Australia
Duration: 2018 May 212018 May 25

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2018 IEEE International Conference on Robotics and Automation, ICRA 2018
CountryAustralia
CityBrisbane
Period18/5/2118/5/25

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, J., & Chung, W. J. (2018). Robust Localization of Mobile Robots Considering Reliability of LiDAR Measurements. In 2018 IEEE International Conference on Robotics and Automation, ICRA 2018 (pp. 6491-6496). [8460648] (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2018.8460648