Autonomous Surface Vehicle Navigation Data

该数据集来源于在受GPS限制环境下进行的自主水面车辆（ASV）导航实验，重点展示了在状态估计中管理不确定性的挑战。数据集包含了ASV的各种位置估计模式（包括有噪声的和精确的），并用于评估在真实操作限制下GUIDE框架的有效性。这些实验是在现实世界中使用ASV进行的，其任务是在复杂环境中进行导航。

This dataset is derived from autonomous surface vehicle (ASV) navigation experiments conducted in GPS-limited environments, which highlight the challenge of managing uncertainty in state estimation. The dataset includes various position estimation modes of the ASV, encompassing both noisy and accurate ones, and is used to evaluate the effectiveness of the GUIDE framework under real-world operational constraints. These experiments were carried out in real-world settings using ASVs, whose assigned task was to navigate through complex environments.