Name
Abstract | ||
|---|---|---|
We present the design and implementation of a real-time, vision-based landing algorithm for an autonomous helicopter. The helicopter is required to navigate from an initial position to a final position in a partially known environment based on GPS and vision, locate a landing target (a helipad of a known shape) and land on it. We use vision for precise target detection and recognition. The helicopter updates its landing target parameters based on vision and uses an on-board behavior-based controller to follow a path to the landing site. We present results from flight trials in the field which demonstrate that our detection, recognition and control algorithms are accurate and repeatable |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ROBOT.2002.1013656 | ICRA |
Keywords | Field | DocType |
global positioning system,gps,unmanned aerial vehicle,state estimation,image segmentation,mobile robots,target recognition,helicopters,landing target,vision-based autonomous landing,image recognition,autonomous helicopter,aerospace robotics,on-board behavior-based controller,target detection,aircraft control,remotely operated vehicles,robot vision,helipad,testing | Remotely operated underwater vehicle,Computer vision,Control algorithm,Control theory,Image segmentation,Vision based,Artificial intelligence,Global Positioning System,Engineering,Aerospace robotics,Mobile robot | Conference |
Volume | Issue | Citations |
3 | 1 | 87 |
PageRank | References | Authors |
8.43 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Srikanth Saripalli | 1 | 564 | 60.11 |
| James F. Montgomery | 2 | 470 | 66.96 |
| Gaurav S. Sukhatme | 3 | 5469 | 548.13 |