Journal of Intelligent and Robotic Systems
An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection
IEEE Intelligent Systems
Pattern Recognition Letters
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
A HIL Testbed for Initial Controller Gain Tuning of a Small Unmanned Helicopter
Journal of Intelligent and Robotic Systems
Modular interpretation of low altitude aerial images of non-urban environment
Digital Signal Processing
Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges
Journal of Intelligent and Robotic Systems
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The paper presents an Unmanned Aircraft System (UAS), consisting of several aerial vehicles and a central station, for forest fire monitoring. Fire monitoring is defined as the computation in real-time of the evolution of the fire front shape and potentially other parameters related to the fire propagation, and is very important for forest fire fighting. The paper shows how an UAS can automatically obtain this information by means of on-board infrared or visual cameras. Moreover, it is shown how multiple aerial vehicles can collaborate in this application, allowing to cover bigger areas or to obtain complementary views of a fire. The paper presents results obtained in experiments considering actual controlled forest fires in quasi-operational conditions, involving a fleet of three vehicles, two autonomous helicopters and one blimp.