3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image

20 Mar 2020Rui XiangFeng ZhengHuapeng SuZhe Zhang

In this paper, we propose an end-to-end deep learning network named 3dDepthNet, which produces an accurate dense depth image from a single pair of sparse LiDAR depth and color image for robotics and autonomous driving tasks. Based on the dimensional nature of depth images, our network offers a novel 3D-to-2D coarse-to-fine dual densification design that is both accurate and lightweight... (read more)

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