LiDAR Annotation Services for Autonomous Driving, Robotics, and 3D Perception Models

LiDAR is a core sensor in autonomous driving and robotics. It provides high resolution 3D structure, depth information, and environmental geometry that cannot be captured with cameras alone. Building reliable perception models requires precise annotation of objects, road structures, infrastructure, and dynamic elements across large point cloud datasets.DataVLab provides LiDAR annotation services for leading ADAS and robotics teams. Our annotators follow detailed guidelines to label objects consistently across frames and sequences using 3D cuboids, segmentation masks, keypoints, and class hierarchies tailored to your dataset. We also support multi return LiDAR, rotating LiDAR, solid state LiDAR, and fused LiDAR datasets.Our annotation tasks include object detection, instance segmentation, road boundary labeling, traffic element annotation, lane geometry extraction, region classification, and cross sensor alignment. We also support temporal tracking across large sequences, which helps perception models interpret motion and behavior.Quality control includes multi level review, spatial alignment checks, 3D geometry validation, and consistency inspection across long time windows. For regulated or sensitive projects, we provide GDPR aligned workflows with optional EU only annotation.Our LiDAR annotation workflows help AI teams train robust 3D perception models that understand real world structure and support autonomous navigation.