A Semi-Supervised Railway Foreign Object Detection Method Based on GAN-Reference-Cited by-同舟云学术

A Semi-Supervised Railway Foreign Object Detection Method Based on GAN

Published:2021-10-19 Issue: Volume: Page:
ISSN:
Container-title:The 5th International Conference on Computer Science and Application Engineering
language:
Short-container-title:

Author:

Chen Yanqi¹,Tong Shuzhen¹,Lu Xiaobo¹,Wei Yun²

Affiliation:

1. School of Automation, Southeast University, China and Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, China

2. Beijing Mass Transit Railway Operation Corporation Limited, China

Funder

National Key R&D Program of China under Grant

Major scientific research projects of China Railway Group under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487075.3487133

Reference11 articles.

1. Vision based anti-collision system for rail track maintenance vehicles

2. Design concept of train obstacle detection system in Indonesia;Passarella R;IJRRAS,2011

Cited by 7 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 Survey on Multi-Sensor Fusion Perimeter Intrusion Detection in High-Speed Railways;Sensors;2024-08-23

2. Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives;IEEE Transactions on Intelligent Transportation Systems;2024-07

3. GAN-based Data Augmentation of Railway Track Irregularities for Fault Diagnosis;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. A study on the application of convolutional neural networks for the maintenance of railway tracks;Discover Artificial Intelligence;2024-05-02

5. SeMA-UNet: A Semi-Supervised Learning with Multimodal Approach of UNet for Effective Segmentation of Key Components in Railway Images;Journal of Electrical Engineering & Technology;2024-04-10