Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/137218| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資科系 | |
| dc.creator | 劉吉軒 | |
| dc.creator | Liu, Jyishane | |
| dc.creator | Chang, Wei-Chao | |
| dc.date | 2020-11 | |
| dc.date.accessioned | 2021-09-22T02:38:16Z | - |
| dc.date.available | 2021-09-22T02:38:16Z | - |
| dc.date.issued | 2021-09-22T02:38:16Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/137218 | - |
| dc.description.abstract | 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 | Proceedings of the Fourth IEEE International Conference on Robotic Computing, Asia University | |
| dc.subject | vision-based navigation; orbit inspection | |
| dc.title | Vision-based Drone Navigation for Orbital Inspection of Pole-like Objects | |
| dc.type | conference | |
| dc.identifier.doi | 10.1109/IRC.2020.00071 | |
| dc.doi.uri | https://doi.org/10.1109/IRC.2020.00071 | |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.openairetype | conference | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| item.cerifentitytype | Publications | - |
| Appears in Collections: | 會議論文 | |
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