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題名 Visual Navigation for UAVs Landing on Accessory Building Floor
作者 劉吉軒
Liu, Jyishane
Liu, Hsiao-Che
貢獻者 資科系
關鍵詞 drone navigation; vision-based navigation; behavior tree; precision landing; building accessory floor
日期 2020-12
上傳時間 22-九月-2021 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
資料類型 conference
DOI https://doi.org/10.1109/ICPAI51961.2020.00037
dc.contributor 資科系
dc.creator (作者) 劉吉軒
dc.creator (作者) Liu, Jyishane
dc.creator (作者) Liu, Hsiao-Che
dc.date (日期) 2020-12
dc.date.accessioned 22-九月-2021 10:38:31 (UTC+8)-
dc.date.available 22-九月-2021 10:38:31 (UTC+8)-
dc.date.issued (上傳時間) 22-九月-2021 10:38:31 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/137219-
dc.description.abstract (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.
dc.format.extent 517592 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of the International Conference on Pervasive Artificial Intelligence 2020 (ICPAI 2020), Pervasive Artificial Intelligence Research Labs
dc.subject (關鍵詞) drone navigation; vision-based navigation; behavior tree; precision landing; building accessory floor
dc.title (題名) Visual Navigation for UAVs Landing on Accessory Building Floor
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1109/ICPAI51961.2020.00037
dc.doi.uri (DOI) https://doi.org/10.1109/ICPAI51961.2020.00037