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The idea is to use Convolutional Neural Networks in conjunction with inexpensive sensors to replicate the 3D point-clouds that are created by expensive LIDARs. ... In this paper, we propose an approach called Deep Sensor Cloning (DSC). ... In this paper, we propose a method called Deep Sensor Cloning, which directly regresses on the output of LIDAR using a variety of sensor inputs. ...arXiv:1811.07070v2 fatcat:swoiogjsdnc57kbxobgr3rrrai
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
: Replicating Lidar Point Clouds With Deep Sensor Cloning 1317 (missing), Nicholas Schaub (missing), Nathan Hotaling (missing), Carl Unsupervised Domain Adaptation to Improve Image Segmentation Quality ... (missing), Matthias Rottmann (missing), Radin Dardashti Attentional PointNet for 3D-Object Detection in Point Clouds 1297 (missing), Fabian Hüger (missing), Peter Schlicht (missing), and Hanno Anshul ... Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation 2070 Jiaming Liu (missing) , Chi-Hao Wu (missing) , Yuzhi Wang (missing) , Qin Xu (missing), Yuqian Zhou ...doi:10.1109/cvprw.2019.00004 fatcat:h7xpqwyrofdxniqtxbodn66mpy