Semantic Point Cloud Mapping of LiDAR Based on Probabilistic Uncertainty Modeling for Autonomous Driving. - Sungjin Cho; Chansoo Kim; Jaehyun Park 011; Myoungho Sunwoo; Kichun Jo (Sensors, 2020)

Fast and Lite Point Cloud Semantic Segmentation for Autonomous Driving Utilizing LiDAR Synthetic Training Data. - Jimin Jeong; Hamin Song; Jaehyun Park 011; Paulo Resende; Benazouz Bradaï; Kichun Jo (IEEE Access, 2022)

PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network. - Jaehyun Park 011; Chansoo Kim; Kichun Jo (CoRR, 2022)

PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network. - Jaehyun Park 011; Chansoo Kim; Soyeong Kim; Kichun Jo (Expert Syst. Appl., 2023)

Panoptic-FusionNet: Camera-LiDAR fusion-based point cloud panoptic segmentation for autonomous driving. - Hamin Song; Jieun Cho; Jinsu Ha; Jaehyun Park 011; Kichun Jo (Expert Syst. Appl., 2024)