Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0921-8890(01)00166-X | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Autonomous helicopter,Vision-based landing,Safe landing,Contrast measures,Texture scale | Aviation safety,Simulation,Computer science,Testbed,Vision based,Robustness (computer science),Robot | Journal |
Volume | Issue | ISSN |
38 | 1 | 0921-8890 |
Citations | PageRank | References |
51 | 6.45 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro J. Garcia-Pardo | 1 | 51 | 6.45 |
| Gaurav S. Sukhatme | 2 | 5469 | 548.13 |
| James F. Montgomery | 3 | 470 | 66.96 |