OPR-Project/ITLP-Campus-Outdoor

ITLP Campus Outdoor是一个多模态数据集，用于不同大学校园环境下场所识别研究。该数据集由移动机器人使用前后的RGB相机和3D LiDAR在不同季节（冬季和春季）和不同时间段（白天、夜晚、黄昏）捕捉，覆盖了3.6公里的户外路径。数据集包括同步的LiDAR点云、RGB图像、语义分割掩码以及许多帧的自然语言场景描述。适用于开发和测试定位算法、多模态定位的教育和研究项目、全局定位算法的基准测试和比较分析，以及创建对环境变化和外部条件稳健的机器学习模型。

ITLP Campus Outdoor is a multimodal dataset for place recognition research in diverse university campus environments. Captured by a mobile robot with front and back RGB cameras and a 3D LiDAR, it covers 3.6 km of outdoor paths across different seasons (winter and spring) and times of day (day, night, twilight). The dataset includes synchronized LiDAR point clouds, RGB images, semantic segmentation masks, and natural language scene descriptions for many of the frames. It is suitable for developing localization algorithms, educational and research projects on multimodal localization, benchmarking and comparative analysis of global localization algorithms, and creating machine learning models robust to environmental changes and external conditions.