UAVによる波浪の影響を受ける船舶の状態推定
State estimation of marine vessels affected by waves by unmanned aerial vehicles
UAVと無人表面艇（USV）の協調のため、波浪下のUSVの6自由度非線形モデルを構築し、複数センサ融合で状態推定と予測を行う手法を提案。実機実験で有効性を検証した。
著者: Filip Novák, Tomáš Báča, Ondřej Procházka, Martin Saska
分類: cs.RO
原文アブストラクト
A novel approach for robust state estimation of marine vessels in rough water is proposed in this paper to enable tight collaboration between Unmanned Aerial Vehicles (UAVs) and a marine vessel, such as cooperative landing or object manipulation, regardless of weather conditions. Our study of marine vessel (in our case Unmanned Surface Vehicle (USV)) dynamics influenced by strong wave motion has resulted in a novel nonlinear mathematical USV model with 6 degrees of freedom (DOFs), which is required for precise USV state estimation and motion prediction. The proposed state estimation and prediction approach fuses data from multiple sensors onboard the UAV and the USV to enable redundancy and robustness under varying weather conditions of real-world applications. The proposed approach provides estimated states of the USV with 6 DOFs and predicts its future states to enable tight control of both vehicles on a receding control horizon. The proposed approach was extensively tested in the realistic Gazebo simulator and successfully experimentally validated in many real-world experiments representing different application scenarios, including agile landing on an oscillating and moving USV. A comparative study indicates that the proposed approach significantly surpassed the current state-of-the-art.
