Ali Pirshayan - Department of Mechatronics Engineering, Tabriz Branch, Islamic Azad University Tabriz, IRAN
Hadi Seyedarabi - Faculty of Electrical and Computer Engineering, University of Tabriz Tabriz, IRAN
Siamak Haghipour - Department of Biomedical Engineering, Tabriz Branch, Islamic Azad University Tabriz, IRAN

Unmanned aerial vehicles (UAVs) are ideal platforms for remote sensing due to their point of view and freedom of movement. This paper introduces the cooperative localization of the interestedtarget using four quad-rotors UAVs equipped with stereo vision systems. The system contains a vision-based algorithms for thedetection and identification of the target on the video stream. An algorithm based on Kalman filter used to estimate the position ofthe target, in addition a method offered based on Kalman filter. This method applied to fusion of each UAV’s estimation together.Simulation results compared with non-cooperative and Two UAV cooperative systems. Results indicates that four UAV cooperative systems perform more accurate estimation of the target location

Unmanned Aerial Vehicles, Kalman Filter, Data Fusion, Vision-Based localization, Cooperative