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

Huaijian Li; Linlin Wan; Hong Chen; Xiaojing Du

doi:10.1109/ICUS52573.2021.9641182

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

Huaijian Li, Linlin Wan, Hong Chen, Xiaojing Du

宇航学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言	英语
主期刊名	Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
出版商	Institute of Electrical and Electronics Engineers Inc.
页	80-84
页数	5
ISBN（电子版）	9780738146577
DOI	https://doi.org/10.1109/ICUS52573.2021.9641182
出版状态	已出版 - 2021
活动	2021 IEEE International Conference on Unmanned Systems, ICUS 2021 - Beijing, 中国期限: 15 10月 2021 → 17 10月 2021

出版系列

姓名	Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

会议

会议	2021 IEEE International Conference on Unmanned Systems, ICUS 2021
国家/地区	中国
市	Beijing
时期	15/10/21 → 17/10/21

访问文件

10.1109/ICUS52573.2021.9641182

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, H., Wan, L., Chen, H., & Du, X. (2021). Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints. 在 Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 (页码 80-84). (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS52573.2021.9641182

Li, Huaijian ; Wan, Linlin ; Chen, Hong 等. / Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints. Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 80-84 (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021).

@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",

}

Li, H, Wan, L, Chen, H & Du, X 2021, Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints. 在 Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021, Institute of Electrical and Electronics Engineers Inc., 页码 80-84, 2021 IEEE International Conference on Unmanned Systems, ICUS 2021, Beijing, 中国, 15/10/21. https://doi.org/10.1109/ICUS52573.2021.9641182

Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints. / Li, Huaijian; Wan, Linlin; Chen, Hong 等.
Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 80-84 (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints

AU - Li, Huaijian

AU - Wan, Linlin

AU - Chen, Hong

AU - Du, Xiaojing

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Circle Detection

KW - Coplanar Feature Points

KW - Marker Detection

KW - Multi-constraints

KW - Visual Navigation

UR - http://www.scopus.com/inward/record.url?scp=85124145732&partnerID=8YFLogxK

U2 - 10.1109/ICUS52573.2021.9641182

DO - 10.1109/ICUS52573.2021.9641182

M3 - Conference contribution

AN - SCOPUS:85124145732

T3 - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

SP - 80

EP - 84

BT - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

Y2 - 15 October 2021 through 17 October 2021

ER -

Li H, Wan L, Chen H, Du X. Research on Visual Navigation Marker Detection Algorithm Based on Multi-Constraints. 在 Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 80-84. (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021). doi: 10.1109/ICUS52573.2021.9641182

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

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