Title | ||
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Detection And Tracking Of External Features In An Urban Environment Using An Autonomous Helicopter |
Abstract | ||
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We present the design and implementation of a real-time vision-based approach to detect and track features in a structured environment using an autonomous helicopter. Using vision as a sensor enables the helicopter to track features in an urban environment. We use vision for feature detection and a combination of vision and GPS for navigation and tracking. The vision algorithm sends high level velocity commands to the helicopter controller which is then able to command the helicopter to track them. We present results obtained from flight trials that demonstrate our algorithms for detection and tracking are applicable in real world scenarios by applying them to the task of tracking rectangular features in structured environments. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/ROBOT.2005.1570728 | 2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4 |
Keywords | Field | DocType |
autonomous aerial vehicles, feature tracking, Kalman filter | Remotely operated underwater vehicle,Object detection,Computer vision,Control theory,Control engineering,Kalman filter,Visual servoing,Artificial intelligence,Global Positioning System,Engineering,Control system,Mobile robot | Conference |
ISSN | Citations | PageRank |
1050-4729 | 6 | 0.78 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Srikanth Saripalli | 1 | 564 | 60.11 |
Gaurav S. Sukhatme | 2 | 5469 | 548.13 |
Luis Mejias | 3 | 143 | 15.42 |
Pascual Campoy | 4 | 436 | 46.75 |