Multi-agent Simulation Platform
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/HKUST-Aerial-Robotics/spatiotemporal_semantic_corridor
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资源简介:
该数据集包含了从真实卫星地图中提取的带注释的测试环境,用于评估自动驾驶车辆在复杂城市场景中的规划方法。此外,该数据集支持对各种交通和障碍物配置的基准测试,这使得可以评估所提出的轨迹生成方法。数据集规模涵盖多个测试案例,其中包含不同语义元素。其任务是为城市环境中的自动驾驶车辆生成轨迹和规划。
This dataset contains annotated test environments extracted from real satellite imagery, which is used to evaluate planning methods for autonomous vehicles in complex urban scenarios. Furthermore, the dataset supports benchmark testing across various traffic and obstacle configurations, enabling the evaluation of proposed trajectory generation methods. The dataset encompasses multiple test cases with diverse semantic elements. Its core task is to generate trajectories and planning strategies for autonomous vehicles in urban environments.
提供机构:
HKUST Aerial Robotics



