module should not only work correctly, but show its prediction confidence as well. Previous
object detectors driven by deep learning do not explicitly model uncertainties in the neural
network. We tackle with this problem by presenting practical methods to capture
uncertainties in a 3D vehicle detector for Lidar point clouds. The proposed probabilistic
detector represents reliable epistemic uncertainty and aleatoric uncertainty in classification …