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FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation

  • Published:2021 Issue: Volume: Page:1-9
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang ZhangyuORCID,Yu GuizhenORCID,Chen PengORCID,Zhou BinORCID,Yang SongyueORCID

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Real-Time Method for Railway Track Detection and 3D Fitting Based on Camera and LiDAR Fusion Sensing;Remote Sensing;2024-04-18

2. Multi-Modal Contrastive Learning for LiDAR Point Cloud Rail-Obstacle Detection in Complex Weather;Electronics;2024-01-03

3. DeepLabV3-SAM: A Novel Image Segmentation Method for Rail Transportation;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

4. Fine-Grained Point Cloud Semantic Segmentation of Complex Railway Bridge Scenes from UAVs Using Improved DGCNN;Structural Control and Health Monitoring;2023-10-03

5. Obstacle Detection Method of Underground Electric Locomotive Rail Based on Instance Segmentation;Transportation Research Record: Journal of the Transportation Research Board;2023-09-29
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