Autonomous Driving Solutions

Across perception, prediction, planning, and control, we deliver multi-sensor spatiotemporal alignment, joint 3D point cloud and image annotation, and long-tail scenario mining to build a high-quality data foundation for autonomous driving models.

End-to-End Autonomous Driving Data Services

End-to-End Autonomous Driving Data Services

For perception, prediction, planning and control, we provide multi-sensor spatiotemporal alignment, joint 3D point cloud and image annotation, scenario mining and long-tail data construction. Covering diverse conditions from urban roads to highways and campuses, this forms a high-quality data foundation for autonomous driving model training and validation.

Success Stories

  • 3D Point Cloud Object Annotation

    3D bounding box and semantic annotation of vehicles, pedestrians and cyclists to support perception model training.

  • Lane Lines and Drivable Area

    Fine-grained annotation of lane lines, road edges and drivable areas for planning, control and localisation.

  • Multi-Sensor Spatiotemporal Alignment

    Time synchronisation and spatial calibration across camera, LiDAR and millimetre-wave radar data.

  • Long-Tail Scenario Mining

    Mining corner cases from massive datasets to build high-value hard-example sets.

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