Robotics · LiDAR & 3D
LiDAR and 3D point cloud annotation.
Cuboid annotation, semantic segmentation, and sensor fusion with RGB imagery. For autonomous vehicles, industrial robotics, and geospatial programmes where the physical world meets the model.
Capabilities
Fusion-native, tooling-agnostic.
3D cuboid annotation
Consistent dimensioning, heading, and class labels across sequences. Specialist reviewers for edge cases at occluded or low-point-count returns.
Semantic segmentation
Point-level semantic labels across road, vehicle, pedestrian, static infrastructure, and custom industrial taxonomies.
Sensor fusion (RGB + LiDAR)
Aligned labels between camera and LiDAR frames. Critical for multi-sensor model architectures in autonomous systems.
Multi-frame tracking
Temporally-consistent object IDs across sequences. Handles occlusion and re-identification within calibrated rubrics.
Domain-specific taxonomies
Industrial robotics (warehouse assets), AV (road actors and infrastructure), geospatial (ground features), and custom schemas for novel platforms.