Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

Hamid Hekmatian, Jingfu Jin, Samir Al-Stouhi

This work proposes a method for depth completion of sparse LiDAR data using a convolutional neural network which can be used to generate semi-dense depth maps and "almost" full 3D…