Towards vision-based safe landing for an autonomous helicopter
β Scribed by Pedro J. Garcia-Pardo; Gaurav S. Sukhatme; James F. Montgomery
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 375 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0921-8890
No coin nor oath required. For personal study only.
β¦ Synopsis
Autonomous landing is a challenging problem for aerial robots. An autonomous landing manoeuver depends largely on two capabilities: the decision of where to land and the generation of control signals to guide the vehicle to a safe landing. We focus on the first capability here by presenting a strategy and an underlying fast algorithm as the computer vision basis to make a safe landing decision. The experimental results obtained from real test flights on a helicopter testbed demonstrate the robustness of the approach under widely different light, altitude and background texture conditions, as well as its feasibility for limited-performance embedded computers.
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