Title :
Cooperative Fire Detection using Unmanned Aerial Vehicles
Author :
Merino, Luis ; Caballero, Fernando ; Dios, J. R Martínez-de ; Ollero, Aníbal
Author_Institution :
Robotics, Computer Vision and Intelligent Control Group University of Seville Escuela Superior de Ingenieros, Camino de los descubrimientos s/n, 41092 Sevilla, Spain merino@cartuja.us.es
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.
Keywords :
Cooperative perception; aerial robotic vehicles; data fusion; infrared images; Cameras; Fires; Helicopters; Infrared detectors; Infrared imaging; Infrared sensors; Monitoring; Robots; Unmanned aerial vehicles; Vehicle detection; Cooperative perception; aerial robotic vehicles; data fusion; infrared images;
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
DOI :
10.1109/ROBOT.2005.1570388
