Use case: Sensor Fusion & LiDAR

LiDAR data annotation for 3D perception, depth-accurate.

LiDAR data annotation done right — point-cloud labeling, cuboids and multi-sensor fusion for autonomous driving, robotics and spatial AI, consistent across frames and sensors.

objectground plane
98%
Post-QA accuracy
4-stage
QA workflow
700+
Annotators & SMEs
5+
Sensor types
What we label

LiDAR data annotation: from point cloud to fused scene

We annotate 3D and multi-sensor data with the cross-sensor consistency perception models depend on.

3D Point Cloud

  • Segmentation & labeling
  • Object cuboids
  • Ground & lane surfaces
  • Dense scene labeling

Cuboids & Tracking

  • 3D bounding volumes
  • Frame-by-frame tracking
  • Trajectory labeling
  • Velocity & heading

Sensor Fusion

  • LiDAR + camera + radar
  • Cross-sensor consistency
  • Calibration alignment
  • Multi-modal labels

2D-3D Linking

  • Projected boxes
  • Image-to-cloud mapping
  • Occlusion handling
  • Sensor-view sync

Scene Semantics

  • Drivable space
  • Static vs dynamic
  • Road furniture
  • Environment tags

Collection

  • Multi-sensor rigs
  • Route & scenario capture
  • Consent & privacy
  • Edge cases
See collection
Why LiDAR data annotation

LiDAR data annotation that perception models can trust

LiDAR data annotation turns raw point clouds into the labeled 3D ground truth that autonomous driving, robotics and spatial-AI models learn from. Graveiens labels segmentation, 3D cuboids and drivable surfaces and fuses LiDAR with camera and radar so objects stay consistent across every frame and sensor. Trained annotators and SMEs work to your ontology, and a four-stage QA workflow with gold-set benchmarking keeps geometry and class labels accurate at scale. The same team supports autonomous-vehicle data annotation, image annotation and broader data annotation services, so a single vendor can cover your whole perception stack.

Start a LiDAR pilot
objectground plane
Why Graveiens

Why teams choose Graveiens

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

Cross-frame consistency

QA that keeps 3D labels stable over time.

Multi-sensor

Fusion across LiDAR, camera and radar.

Safety & privacy

Compliant handling for automotive data.

Pay on approval

Invoiced only for approved deliverables.

FAQ

Questions, answered

Which sensors do you support?
LiDAR, camera and radar, including fused multi-sensor scenes with calibration alignment.
Do you track objects across frames?
Yes — 3D cuboids with frame-by-frame tracking, trajectories and heading.
Can you collect sensor data too?
Yes — multi-sensor capture to your scenario spec, with consent and privacy handling.
How do we start?
A small paid pilot sequence you review against your criteria.

Related services

Annotate your 3D data

Send us a sample task. You only pay for deliverables you approve.

Book a pilot