Real-time LiDAR point cloud compression using bi-directional prediction and range-adaptive floating-point coding

• Main Authors: Zhao, Lili, Ma, Kai-Kuang, Lin, Xuhu, Wang, Wenyi, Chen, Jianwen
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Point Cloud Compression; Laser Radar
• Online Access: https://hdl.handle.net/10356/163768
• Institution: Nanyang Technological University

Due to the large amount of data involved in the three-dimensional (3D) LiDAR point clouds, point cloud compression (PCC) becomes indispensable to many real-time applications. In autonomous driving of connected vehicles for example, point clouds are constantly acquired along the time and subjected to...