A large-scale multimodal dataset for autonomous driving with 6 cameras, 5 radars, and 1 lidar, providing 360-degree coverage and annotated 3D bounding boxes for 23 classes.

A fast encoder for 3D object detection from point clouds that organizes points into vertical columns and uses PointNets to learn features for downstream detection.