OPR-Project/ITLP-Campus-Indoor

ITLP Campus Indoor是一个多模态室内场景识别数据集，包含同步的RGB图像、LiDAR点云、手动注释的场景文本和用于精确定位的ArUco标记。该数据集适用于开发测试定位算法、多模态定位研究、全局定位算法的基准测试以及创建对环境变化具有鲁棒性的机器学习模型。

ITLP Campus Indoor is a multimodal indoor scene recognition dataset that includes synchronized RGB images, LiDAR point clouds, manually annotated scene text, and ArUco markers for precise localization. It is suitable for developing and testing localization algorithms, research on multimodal localization, benchmarking global localization algorithms, and creating machine learning models robust to environmental changes.