複雑環境における距離ベースの複数非協力地上目標包囲
Distance-based Multiple Non-cooperative Ground Target Encirclement for Complex Environments
GPSの使えない障害物の多い環境で、複数ドローンが距離センサのみを用いて複数の地上目標を包囲するための、目標状態推定と協調制御の手法を提案した論文。
著者: Fen Liu, Shenghai Yuan, Kun Cao, Wei Meng, Lihua Xie
分類: cs.RO
原文アブストラクト
This paper proposes a comprehensive strategy for complex multi-target-multi-drone encirclement in an obstacle-rich and GPS-denied environment, motivated by practical scenarios such as pursuing vehicles or humans in urban canyons. The drones have omnidirectional range sensors that can robustly detect ground targets and obtain noisy relative distances. After each drone task is assigned, a novel distance-based target state estimator (DTSE) is proposed by estimating the measurement output noise variance and utilizing the Kalman filter. By integrating anti-synchronization techniques and pseudo-force functions, an acceleration controller enables two tasking drones to cooperatively encircle a target from opposing positions while navigating obstacles. The algorithms effectiveness for the discrete-time double-integrator system is established theoretically, particularly regarding observability. Moreover, the versatility of the algorithm is showcased in aerial-to-ground scenarios, supported by compelling simulation results. Experimental validation demonstrates the effectiveness of the proposed approach.
