3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments-Reference-Cited by-同舟云学术

3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments

Published:2023-12 Issue:12 Volume:19 Page:11430-11443
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Geng Yixuan¹^ORCID,Wang Zhipeng¹^ORCID,Jia Limin¹^ORCID,Qin Yong¹^ORCID,Chai Yuanyuan²,Liu Keyan¹,Tong Lei¹

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China

2. JIT Research Institute, Jilin University Zhengyuan Information Technologies Co., Ltd., Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Research Project of State Key Laboratory of Rail Traffic Control and Safety

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10288179/10049148.pdf?arnumber=10049148

Reference37 articles.

1. SEGCloud: Semantic Segmentation of 3D Point Clouds

2. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc Adv Neural Inf Process Syst,0

3. LiDAR Point Cloud Recognition of Overhead Catenary System with Deep Learning

4. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

5. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Cited by 9 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. Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review;International Journal of Remote Sensing;2024-01-17

2. Leveraging UAVs for Rapid and Hierarchical Railway Intrusion Detection;Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023;2024

3. Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways;IEEE Transactions on Intelligent Transportation Systems;2023-10

4. Scale-independent shrinkage broad learning system for wheelset bearing anomaly detection under variable conditions;Mechanical Systems and Signal Processing;2023-10

5. Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis;IEEE Transactions on Intelligent Transportation Systems;2023-09