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題名 Vision-based Drone Navigation for Orbital Inspection of Pole-like Objects
作者 劉吉軒
Liu, Jyishane
Chang, Wei-Chao
貢獻者 資科系
關鍵詞 vision-based navigation; orbit inspection
日期 2020-11
上傳時間 22-九月-2021 10:38:16 (UTC+8)
摘要 We present a research work on autonomous visual navigation for aerial inspection on man-made construction. In particular, we focus on developing orbital inspection of pole-like objects. Our technical contribution is in two folds. First, we address the problem from a system perspective and design a complete technical solution. Second, we implement the technical design, integrate all functional components, and employ the developed system on a quadrotor for field test
關聯 Proceedings of the Fourth IEEE International Conference on Robotic Computing, Asia University
資料類型 conference
DOI https://doi.org/10.1109/IRC.2020.00071
dc.contributor 資科系
dc.creator (作者) 劉吉軒
dc.creator (作者) Liu, Jyishane
dc.creator (作者) Chang, Wei-Chao
dc.date (日期) 2020-11
dc.date.accessioned 22-九月-2021 10:38:16 (UTC+8)-
dc.date.available 22-九月-2021 10:38:16 (UTC+8)-
dc.date.issued (上傳時間) 22-九月-2021 10:38:16 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/137218-
dc.description.abstract (摘要) We present a research work on autonomous visual navigation for aerial inspection on man-made construction. In particular, we focus on developing orbital inspection of pole-like objects. Our technical contribution is in two folds. First, we address the problem from a system perspective and design a complete technical solution. Second, we implement the technical design, integrate all functional components, and employ the developed system on a quadrotor for field test
dc.format.extent 326278 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of the Fourth IEEE International Conference on Robotic Computing, Asia University
dc.subject (關鍵詞) vision-based navigation; orbit inspection
dc.title (題名) Vision-based Drone Navigation for Orbital Inspection of Pole-like Objects
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1109/IRC.2020.00071
dc.doi.uri (DOI) https://doi.org/10.1109/IRC.2020.00071