RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation

Jiajiong Li; Chuanxu Wang; Chenyang Wang; Min Zhao; Zitai Jiang

doi:10.1007/s10489-024-05553-4

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RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation

Jiajiong Li Chuanxu Wang Chenyang Wang Min Zhao Zitai Jiang

Year: 2024 Journal: Applied Intelligence Vol: 54 (17-18)Pages: 7829-7848 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-024-05553-4

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Keywords:

Computer science Point cloud Segmentation Voxel Artificial intelligence Feature (linguistics) Fuse (electrical) Range (aeronautics) Channel (broadcasting) Rendering (computer graphics) Pyramid (geometry) Pattern recognition (psychology) Computer vision

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3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation

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