Urban LiDAR Scene Understanding
Multi-sensor fusion dataset combining LiDAR point clouds, camera imagery, and radar data for autonomous vehicle perception in dense urban environments.
Open in ViewerThis multi-sensor dataset combines high-density LiDAR point clouds with synchronized camera imagery and radar returns captured in busy city streets. Dense 3D bounding box annotations cover vehicles, pedestrians, cyclists, and static infrastructure. The dataset is designed for perception teams working on urban autonomous driving, enabling robust object detection and tracking in challenging scenarios like intersections, construction zones, and night-time driving.
What's in this dataset
Task Type
Detection
Tags
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