Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints

Huaijian Li, Linlin Wan, Hong Chen, Xiaojing Du

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

Abstract

An algorithm for detecting markers in monocular vision navigation was designed. Circular patterns feature good geometric characteristics and are easy to measure when their attitude changes. Therefore, a topological marker of the coplanar feature points is designed to assist the numbering and localization of circular patterns. A multi-constraint detection process is constructed to improve the efficiency of detection in complex background, and to ensure the processing speed and accuracy of the extraction of circle centers. Experimental results show that the algorithm is accurate even in a distant range.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-84
Number of pages5
ISBN (Electronic)9780738146577
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Unmanned Systems, ICUS 2021 - Beijing, China
Duration: 15 Oct 202117 Oct 2021

Publication series

NameProceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

Conference

Conference2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Country/TerritoryChina
CityBeijing
Period15/10/2117/10/21

Keywords

  • Circle Detection
  • Coplanar Feature Points
  • Marker Detection
  • Multi-constraints
  • Visual Navigation

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