Point Cloud Generation with Millimeter-Wave Radar for UAV Taxiing

Xuchen Wang, Zhaolin Zhang, Jia Su, Zixun Guo, Jun Fan

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The autonomous obstacle avoidance technology for unmanned aerial vehicle (UAV) taxiing is used to improve efficiency and ensure safety. Many target detection and obstacle avoidance methods based on point cloud have been proposed, which need more point cloud data to evaluate the performance. As a key part, point cloud generation by simulating is more flexible but more complex, especially for scenes with multiple targets. To solve this problem, a point cloud generation method with millimeter-wave radar for UAV taxiing is proposed. Firstly, the coordinates of the targets' vertex are converted to the radar coordinate, and the edges of the targets are decomposed to detection points. Then, a line-of-sight point cloud is generated by abandoning miss detection edges and points. Finally, the echo signals based on the characteristics of the targets are generated. Experimental results demonstrate that the generated point cloud is in accord with the scene setting and the target features contained in the echo signal are also correct.

源语言英语
主期刊名2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024
出版商Institute of Electrical and Electronics Engineers Inc.
681-684
页数4
ISBN(电子版)9798350384437
DOI
出版状态已出版 - 2024
活动7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024 - Xi'an, 中国
期限: 31 7月 20242 8月 2024

出版系列

姓名2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024

会议

会议7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024
国家/地区中国
Xi'an
时期31/07/242/08/24

指纹

探究 'Point Cloud Generation with Millimeter-Wave Radar for UAV Taxiing' 的科研主题。它们共同构成独一无二的指纹。

引用此