Visual localization and servoing for drone use in indoor remote laboratory environment

In this paper, we present a localization system for the use of drone in remote laboratory. The objective is to allow inspect electronic instruments autonomously, as well return its base and land on platform recharge batteries. addition, should be able detect presence teacher laboratory center human face image order enable student–teacher communication. To achieve first objective, approach composed monocular simultaneous mapping algorithm, parallel tracking an estimation based homography transform. For face-drone servoing, 3D Candide model. Both approaches work real time. Quantitative qualitative experiments are presented that show robustness both methods.