Name
Abstract | ||
|---|---|---|
The paper presents a framework for cooperative fire detection by means of a fleet of heterogeneous UAVs. Computer vision techniques are used to detect and localize fires from infrared and visual images and other data provided by the cameras and other sensors on-board the UAVs. The paper deals with the techniques used to decrease the uncertainty in fire detection and increase the accuracy in fire localisation by means of the cooperation of the information provided by several UAVs. The presented methods have been developed in the COMETS multi-UAV project. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ROBOT.2005.1570388 | ICRA |
Keywords | Field | DocType |
Cooperative perception,aerial robotic vehicles,data fusion,infrared images,Cooperative perception,aerial robotic vehicles,data fusion,infrared images | Computer vision,Vehicle detection,Sensor fusion,Artificial intelligence,Engineering,Robot,Fire detection | Conference |
Volume | Issue | ISSN |
2005 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
0-7803-8914-X | 27 | 2.90 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Merino | 1 | 325 | 26.09 |
| Fernando Caballero | 2 | 610 | 45.38 |
| J. Ramiro Martinez De Dios | 3 | 29 | 3.96 |
| Aníbal Ollero | 4 | 1109 | 123.55 |