A PointNet-style regressor predicts 2D BEV bounding boxes from LiDAR points using a double-angle orientation head and center-relative-to-mean, outperforming L-shape fitting on KITTI in reported metrics.
Zhou, and O Tuzel, V oxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection, IEEE Conference on Computer Vision and Pattern Recognition, 2018
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BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud
A PointNet-style regressor predicts 2D BEV bounding boxes from LiDAR points using a double-angle orientation head and center-relative-to-mean, outperforming L-shape fitting on KITTI in reported metrics.