Train-to-Edge Cooperative Intelligence for Obstacle Intrusion Detection in Rail Transit
Author:
Affiliation:
1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada
Funder
Fundamental Research Funds for the Central Universities
Beijing Natural Science Foundation
National Natural Science Foundation of China
Beijing Jiaotong University
Rail Transit Train Operation Beijing Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/25/10564808/10411121.pdf?arnumber=10411121
Reference36 articles.
1. A Review of Vision-Based On-Board Obstacle Detection and Distance Estimation in Railways
2. Deep Learning Based Object and Railway Track Recognition Using Train Mounted Thermal Imaging System
3. Track Obstacle Detection Algorithm Based on YOLOv3
4. Obstacle detection of rail transit based on deep learning
5. Real-time Obstacle Detection Over Rails Using Deep Convolutional Neural Network
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