开源仓库
基于激光雷达的人体动作数据集（humanlidarmotion）
本数据集CMD与域自适应方法DIG的提出，将为跨体制域自适应三维目标检测研究提供数据支撑和方法参考，推进三维目标检测算法在不同三维传感器间迁移能力的相关研究。CMD覆盖了城区、郊区、乡村、公路、桥梁、
激光雷达人体动作捕捉数据集
HiSC4D通过融合IMU、LiDAR和SLAM的多模态数据，构建了一个多阶段的联合优化框架，有效解决了IMU漂移问题，并显著提升了场景重建精度，扩展了空间、人体动作和互动捕捉的范围。
Road Scene Labeled Dataset
This datase provides point cloud data together with multi-view images on object level.
Outdoor road marking dataset
The is a road marking dataset for outdoor scenes. 12 segments of road point clouds are provided in t
Indoor Laser Scanning Dataset
Indoor laser scanning dataset provides fours indoor point clouds data based on SLAM-mapping process.
Colored Indoor Laser Scanning Dataset
Colored indoor laser scanning dataset provides point clouds data with RGB information based on multi
Frame-level labeled Dataset
A manually labeled frame-by-frame indoor dataset with more than 12,000 frames and nine semantic cate
Indoor LiDAR-based SLAM dataset
The indoor LiDAR-based SLAM dataset consists of three scenes captured by multi-beam laser scanners i
BIM Feature Extraction Dataset
The BIM feature extraction dataset contains data from three indoor scenes with various complexity. F
Indoor Positioning Dataset
The indoor positioning dataset consists of five data sequences acquired in indoor environments with