Our sensor fusion annotation datasets integrate LiDAR, radar, binocular camera, infrared and multi-source sensor data, providing time synchronization, space calibration and joint target annotation services. Mainly oriented to autonomous driving, service robot, industrial perception and physical AI fields, we complete multi-sensor data fusion labeling of target detection, trajectory tracking and scene perception.

The dataset contains urban roads, industrial parks, indoor scenes and complex weather working conditions, with rich obstacle, pedestrian and vehicle samples.

All annotation follows industrial autonomous driving standards, with accurate coordinate calibration and consistent target association of multiple sensors.

We support custom sensor combination, exclusive scene data collection and large-scale batch annotation. Professional quality control ensures annotation accuracy and time synchronization, helping perception models fuse multi-source sensor information, improve environmental perception reliability and adapt to complex road and industrial working conditions.