WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation

Point cloud semantic segmentation (PCSS) shows great potential in generating accurate 3D semantic maps for digital twin railways. Deep learning-based methods have seen substantial advancements, driven by numerous PCSS datasets. Nevertheless, existing datasets tend to neglect railway scenes, with lim...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-12, Vol.25 (12), p.20900-20916
Hauptverfasser:	Qiu, Bo, Zhou, Yuzhou, Dai, Lei, Wang, Bing, Li, Jianping, Dong, Zhen, Wen, Chenglu, Ma, Zhiliang, Yang, Bisheng
Format:	Artikel
Sprache:	eng
Schlagworte:	3D deep learning benchmark dataset Deep learning Intelligent transportation systems Lasers Learning systems point cloud Point cloud compression Rail transportation Rails Railway scenes Semantic segmentation Semantics Three-dimensional displays
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