Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network

Duy-Tho Le, Hengcan Shi, Hamid Rezatofighi +1

Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications. This fundamental perception task is…