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

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...

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Main Authors: Zhao, Lili, Ma, Kai-Kuang, Lin, Xuhu, Wang, Wenyi, Chen, Jianwen
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/163768
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機構: Nanyang Technological University
語言: English