Autonomous vehicle data annotation for cars that see and decide.

What autonomous vehicle data annotation involves

Autonomous vehicle data annotation is how ADAS and self-driving stacks learn to read the road: labeling pedestrians, vehicles, lanes, signs and traffic lights across camera, LiDAR and radar, plus in-cabin driver-monitoring data. Graveiens delivers autonomous vehicle data annotation to automotive-grade standards — trained annotators and SMEs work to your ontology, and a four-stage QA workflow with gold-set benchmarking keeps every frame accurate and audit-ready. We combine it with LiDAR data annotation, image annotation and scenario data collection, so one partner can cover perception data end to end, from capture to model-ready labels.