FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation
Scene understanding based on LiDAR point cloud is an essential task for autonomous cars to drive safely, which often employs spherical projection to map 3D point cloud into multi-channel 2D images for semantic segmentation. Most existing methods simply stack different point attributes/modalities...
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| Main Authors: | , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2022
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| 在線閱讀: | https://hdl.handle.net/10356/162039 |
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