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- Title
Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area.
- Authors
Cheng, Hsiu-Wen; Chen, Tsung-Lin; Tien, Chung-Hao
- Abstract
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.
- Subjects
MOTION estimation (Signal processing); HYBRID systems; DRONE warfare; INFORMATION processing; PARAMETER estimation; GLOBAL Positioning System
- Publication
Sensors (14248220), 2019, Vol 19, Issue 6, p1380
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s19061380