視野制限ドローン群の能動的相互観測による相対位置推定の維持
Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation
視野の狭いステレオカメラを搭載したドローン群が、飛行中にカメラの向きを能動的に制御して互いを観測し合うことで、相対位置推定のずれを最大65%低減し、GPSのない環境でも編隊を維持できるようにした研究。
著者: Lianjie Guo, Zaitian Gongye, Ziyi Xu, Yingjian Wang, Xin Zhou, Jinni Zhou, Fei Gao
分類: cs.RO
原文アブストラクト
Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most compact sensor setting -- a stereo camera that provides a limited field of view (FoV), the demand for mutual observation for relative state estimation conflicts with the demand for environment observation. To balance the two demands for FoV limited swarms by acquiring mutual observations with a safety guarantee, this paper proposes an active localization correction system, which plans camera orientations via a yaw planner during the flight. The yaw planner manages the contradiction by calculating suitable timing and yaw angle commands based on the evaluation of localization uncertainty estimated by the Kalman Filter. Simulation validates the scalability of our algorithm. In real-world experiments, we reduce positioning drift by up to 65% and managed to maintain a given formation in both indoor and outdoor GPS-denied flight, from which the accuracy, efficiency, and robustness of the proposed system are verified.
