Reliability-aware short-term roll prediction for unmanned surface vehicles via multi-task learning and adaptive centralization

Reliable roll prediction of unmanned surface vehicles (USVs) is essential for ensuring navi?gational safety and enhancing autonomous decision-making. While existing studies primarily focus on improving prediction accuracy, the quantification of prediction reliability remains insufficiently addressed