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Extrinsic Parameter Calibration and Dynamic Objects Coping Strategy for Multi-camera SLAM

  • Harbin Institute of Technology

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

Abstract

Perceiving the surrounding environment timely and accurately is very essential to improve the safety of mobile robots. To obtain rich information and increase the visual field of mobile robots, the development of multi-camera simultaneous localization and mapping (SLAM) system has become a hot research field. In the current research, multi-camera extrinsic parameter calibration and multi-camera dynamic SLAM are still challenging. Therefore, this paper proposes a dynamic environment-oriented multi-camera SLAM system. This system not only presents an accurate multi-camera extrinsic parameter calibration method but also can achieve accurate localization in the environment with dynamic objects. The effectiveness of the algorithm is verified through comprehensive experiments.

Original languageEnglish
Title of host publicationProceedings - 2022 3rd International Conference on Computer Science and Management Technology, ICCSMT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages162-168
Number of pages7
ISBN (Electronic)9798350320404
DOIs
StatePublished - 2022
Event3rd International Conference on Computer Science and Management Technology, ICCSMT 2022 - Shanghai, China
Duration: 18 Nov 202220 Nov 2022

Publication series

NameProceedings - 2022 3rd International Conference on Computer Science and Management Technology, ICCSMT 2022

Conference

Conference3rd International Conference on Computer Science and Management Technology, ICCSMT 2022
Country/TerritoryChina
CityShanghai
Period18/11/2220/11/22

Keywords

  • Dynamic Objects
  • Extrinsic Parameter Calibration
  • Multi-camera System
  • SLAM
  • component

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