The SFU Mountain Dataset: Semi-Structured Woodland Trails Under Changing Environmental Conditions

Note: If you want only a subset of the data presented here (just the ROS bags, but not the extracted JPEGs and CSVs for example, since there is some duplication), you can set your torrent client to download only the files you are interested in. License: This data is licensed under the Creative Commons - Attribution 4.0 International License: . We present a novel long-term dataset of semistructured woodland terrain under varying lighting and weather conditions and with changing vegetation, infrastructure, and pedestrian traffic. This dataset is intended to aid the development of field robotics algorithms for long-term deployment in challenging outdoor environments. It includes more than 8 hours of trail navigation, with more available in the future as the environment changes. The data consist of readings from calibrated and synchronized sensors operating at 5 Hz to 50 Hz in the form of color stereo and grayscale monocular camera images, vertica

注意：若您仅需获取此处展示的数据子集（例如仅包括 ROS 数据包，而不包括提取的 JPEG 图像和 CSV 文件等，因存在一定程度的重复），您可以将您的种子下载客户端设置为仅下载您感兴趣的数据文件。许可证：本数据集受 Creative Commons - 知识共享署名 4.0 国际许可证的许可：。本报告提出了一种新颖的长期半结构化林地地形数据集，该数据集在不同光照和天气条件下，以及植被、基础设施和行人交通变化的情况下进行采集。本数据集旨在辅助开发适用于长期部署于复杂户外环境中的现场机器人算法。数据集包含超过 8 小时的路径导航数据，未来随着环境变化，还将提供更多数据。数据由校准并同步的传感器在 5 Hz 至 50 Hz 的频率下采集，包括彩色立体和灰度单目相机图像等。