@inproceedings{b287a72cb7ea4c85a26941c31a11bcc3,
title = "Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints",
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.",
keywords = "Circle Detection, Coplanar Feature Points, Marker Detection, Multi-constraints, Visual Navigation",
author = "Huaijian Li and Linlin Wan and Hong Chen and Xiaojing Du",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/ICUS52573.2021.9641182",
language = "English",
series = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "80--84",
booktitle = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",
address = "United States",
}