Autonomous perception techniques for urban and industrial fire scenarios
Jesús Capitán, D. Mantecon, P. Soriano, Anı́bal Ollero · 2007
This paper presents autonomous perception techniques for disaster management and particularly for urban and industrial fire scenarios. The perception from static and mobile (on-board UAV) cameras is considered for smoke detection and cooperative tracking The algorithms used to achieve these functionalities will be described. The implementation of these techniques in the AWARE platform and the application in the general AWARE experiments to detect smoke and track firemen of the Seville fire brigades will also be presented.