1. D. Zermas, I.H. Izzat, N. Papanikolopoulos, Fast segmentation of 3d point clouds: a paradigm on lidar data for autonomous vehicle applications (2017) 5067–5073
2. W. Tao, X. He, N. Barnes, Learning structured hough voting for joint object detection and occlusion reasoning, in: Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013.
3. A survey on deep learning techniques for image and video semantic segmentation;Garciagarcia;Appl. Soft Comput.,2018
4. H. Su, V. Jampani, D. Sun, S. Maji, E. Kalogerakis, M. Yang, J. Kautz, Splatnet: sparse lattice networks for point cloud processing, arXiv: Computer Vision and Pattern Recognition.
5. J. Lahoud, B. Ghanem, 2d-driven 3d object detection in rgb-d images, in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017.