Abstract: Autonomous obstacle avoidance for unmanned surface vehicle (USV) clusters in dynamic marine environments faces challenges including heterogeneous sensor fusion, multi-objective optimization ...
Abstract: This paper introduces a novel hybrid framework, ICEEMDAN-PatchTST+FDPO, which integrates advanced signal decomposition, Transformer-based time series forecasting, and forecast-driven ...