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: | , , , , |
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格式: | Article |
語言: | English |
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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 |