Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21
In this preliminary work we attempt to apply submanifold sparse convolution to the task of 3D person detection. In particular, we present Person-MinkUNet, a single-stage 3D person detection network based on Minkowski Engine with U-Net architecture. The network achieves a 76.4% average precision (AP) on the JRDB 3D detection benchmark.
Winner of JRDB 3D detection challenge in JRDB-ACT Workshop at CVPR 2021
