Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area
The capability of landing on previously unvisited areas is a fundamental challenge for an unmanned aerial vehicle (UAV). In this paper, we developed a vision-based motion estimation as an aid to improve landing performance. As an alternative to the common scenarios accompanying by external infrastru...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/6/1380 |
| _version_ | 1798025902420918272 |
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| author | Hsiu-Wen Cheng Tsung-Lin Chen Chung-Hao Tien |
| author_facet | Hsiu-Wen Cheng Tsung-Lin Chen Chung-Hao Tien |
| author_sort | Hsiu-Wen Cheng |
| collection | DOAJ |
| description | The capability of landing on previously unvisited areas is a fundamental challenge for an unmanned aerial vehicle (UAV). In this paper, we developed a vision-based motion estimation as an aid to improve landing performance. As an alternative to the common scenarios accompanying by external infrastructures or well-defined marker, the proposed hybrid framework can successfully land on a new area without any prior information about guiding marks. The implementation was based on the optical flow technique associated with a multi-scale strategy to overcome the decreasing field-of-view during the UAV descending. Compared with a commercial Global Positioning System (GPS) through a sequence of flight trials, the vision-aided scheme can effectively minimize the possible sensing error, thus, leading to a more accurate result. Moreover, this work has potential to integrate the fast-growing image learning process and yields more practical versatility for UAV applications in the future. |
| first_indexed | 2024-04-11T18:27:34Z |
| format | Article |
| id | doaj.art-58fbc0e8a8134932b37d05b17b586e51 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:27:34Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-58fbc0e8a8134932b37d05b17b586e512022-12-22T04:09:35ZengMDPI AGSensors1424-82202019-03-01196138010.3390/s19061380s19061380Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited AreaHsiu-Wen Cheng0Tsung-Lin Chen1Chung-Hao Tien2Department of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, TaiwanDepartment of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, TaiwanDepartment of Photonics, National Chiao Tung University, Hsinchu 30010, TaiwanThe capability of landing on previously unvisited areas is a fundamental challenge for an unmanned aerial vehicle (UAV). In this paper, we developed a vision-based motion estimation as an aid to improve landing performance. As an alternative to the common scenarios accompanying by external infrastructures or well-defined marker, the proposed hybrid framework can successfully land on a new area without any prior information about guiding marks. The implementation was based on the optical flow technique associated with a multi-scale strategy to overcome the decreasing field-of-view during the UAV descending. Compared with a commercial Global Positioning System (GPS) through a sequence of flight trials, the vision-aided scheme can effectively minimize the possible sensing error, thus, leading to a more accurate result. Moreover, this work has potential to integrate the fast-growing image learning process and yields more practical versatility for UAV applications in the future.https://www.mdpi.com/1424-8220/19/6/1380optical flowunmanned aerial vehicle (UAV)vision-based motion estimation |
| spellingShingle | Hsiu-Wen Cheng Tsung-Lin Chen Chung-Hao Tien Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area Sensors optical flow unmanned aerial vehicle (UAV) vision-based motion estimation |
| title | Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area |
| title_full | Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area |
| title_fullStr | Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area |
| title_full_unstemmed | Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area |
| title_short | Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area |
| title_sort | motion estimation by hybrid optical flow technology for uav landing in an unvisited area |
| topic | optical flow unmanned aerial vehicle (UAV) vision-based motion estimation |
| url | https://www.mdpi.com/1424-8220/19/6/1380 |
| work_keys_str_mv | AT hsiuwencheng motionestimationbyhybridopticalflowtechnologyforuavlandinginanunvisitedarea AT tsunglinchen motionestimationbyhybridopticalflowtechnologyforuavlandinginanunvisitedarea AT chunghaotien motionestimationbyhybridopticalflowtechnologyforuavlandinginanunvisitedarea |