Service
LiDAR Annotation
We annotate complex 3D point cloud data with precise object boundaries and motion context for autonomy and robotics perception stacks.
Section 01
Use Cases
Applied
- 3D perception for autonomous vehicles
- Warehouse and AMR navigation systems
- Construction and geospatial mapping AI
- Collision prediction and path planning models
Section 02
Deliverables
Output
- 3D cuboids and class attributes
- Point-level semantic segmentation
- Multi-sensor fusion tag alignment
- Temporal 3D object tracking
Section 03
Process
- 1Sensor calibration and ontology alignment
- 23D object labeling and segmentation
- 3Cross-frame consistency QA
- 4Export for common AV toolchains