Underwater Navigation Environment

该数据集模拟了一个评估机器人在水下复杂场景中进行定位策略的环境，其中包括了如岩石和珊瑚礁等障碍物。此外，相关的实验代码以及训练和测试环境的设置已在GitHub上提供。这些环境旨在评估不同定位算法的性能。该数据集涵盖了复杂的水下环境，其中包含多种障碍物，任务是在受水流和多变能见度影响的情况下，完成水下环境中的导航、定位和路径规划。

This dataset simulates environments for evaluating robot localization strategies in complex underwater scenarios, which contain obstacles such as rocks and coral reefs. Additionally, the relevant experimental code and the configuration of the training and testing environments have been released on GitHub. These environments are designed to assess the performance of various localization algorithms. This dataset covers complex underwater environments with various obstacles, where the tasks include completing navigation, localization and path planning in underwater scenarios affected by water currents and variable visibility.