| 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-Sep-2021 10:38:31 (UTC+8) | - |
| dc.date.available | 22-Sep-2021 10:38:31 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Sep-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 | |
