政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/137219

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题名:	Visual Navigation for UAVs Landing on Accessory Building Floor
作者:	劉吉軒 Liu, Jyishane Liu, Hsiao-Che
贡献者:	資科系
关键词:	drone navigation;vision-based navigation;behavior tree;precision landing;building accessory floor
日期:	2020-12
上传时间:	2021-09-22 10:38:31 (UTC+8)
摘要:	Landing is a critical step in most real world UAV applications, especially in delivery. A package delivery is successful only when a landing or a low-altitude drop-off (pseudo-landing) is completed. For precision landing requirement, vision-based navigation techniques are of high potential to be reliable and accurate. In this paper, we present a research work on autonomous visual navigation for precision landing on accessory building floor. We incorporate some state-of-the-art vision-based methods, develop other functional components to present an employable autonomous navigation system for precision landing near buildings. Initial experiments in a real world scenario show an encouraging results with high success rate of performing precision landing.
關聯:	Proceedings of the International Conference on Pervasive Artificial Intelligence 2020 (ICPAI 2020), Pervasive Artificial Intelligence Research Labs
数据类型:	conference
DOI 連結:	https://doi.org/10.1109/ICPAI51961.2020.00037
DOI:	10.1109/ICPAI51961.2020.00037
显示于类别:	[資訊科學系] 會議論文

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