Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud

Dan Jia, Bastian Leibe
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 at CVPR 2021

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