Papers › Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Dan Jia, Bastian Leibe
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.
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