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FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

LiDAR segmentation is crucial for autonomous driving systems. The recent range-view approaches are promising for real-time processing. However, they suffer inevitably from corrupted contextual information and rely heavily on post-processing techniques for prediction refinement.

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Cite this as

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu (2024). Dataset: FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. https://doi.org/10.57702/wbz4mf4x

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2312.04484
Author	Xiang Xu
More Authors	Lingdong Kong Hui Shuai Qingshan Liu
Homepage	https://github.com/Xiangxu-0103/FRNet