Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles

22 Jun 2020Hujie PanZining WangWei ZhanMasayoshi Tomizuka

In this paper, we propose a novel form of the loss function to increase the performance of LiDAR-based 3d object detection and obtain more explainable and convincing uncertainty for the prediction. The loss function was designed using corner transformation and uncertainty modeling... (read more)

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