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https://ah.lib.nccu.edu.tw/handle/140.119/137219
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: | Dec-2020 | 上傳時間: | 22-Sep-2021 | 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 |
Appears in Collections: | 會議論文 |
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