A robust SLAM algorithm using hybrid map approach

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

5 Scopus citations

Abstract

This paper proposes a new SLAM (Simultaneous Localization and Mapping) algorithm based on hybrid map method. We express the environment surrounding mobile robot with a grid and a feature map. Using the reliability of estimation for individual map, we calculate the importance factor for Rao-Blackwellized Particle Filter (RBPF) resampling. In this way, we improve the accuracy of the algorithm and reduce computational complexity. Experimental results verify the feasibility and effectiveness of our algorithm.

Original languageEnglish
Title of host publicationInternational Conference on Electronics, Information and Communication, ICEIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538647547
DOIs
StatePublished - 2 Apr 2018
Event17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
Duration: 24 Jan 201827 Jan 2018

Publication series

NameInternational Conference on Electronics, Information and Communication, ICEIC 2018
Volume2018-January

Conference

Conference17th International Conference on Electronics, Information and Communication, ICEIC 2018
Country/TerritoryUnited States
CityHonolulu
Period24/01/1827/01/18

Keywords

  • Hybrid Map
  • Rao-Blackwellized Particle Filter
  • SLAM

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