Autonomous Localization Method for Railway Trains Based on Multi-Source Information Fusion-Reference-Cited by-同舟云学术

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Autonomous Localization Method for Railway Trains Based on Multi-Source Information Fusion

Published:2024-01-13 Issue: Volume: Page:41-46
ISSN:
Container-title:2024 International Conference on Electronic Engineering and Information Systems (EEISS)
language:
Short-container-title:

Author:

Zhang Hanxuan¹,Huo Ju¹,Xue Muyao²,Zhou Jianbao³

Affiliation:

1. Harbin Institute of Technology,School of Electrical Engineering and Automation,Harbin,China

2. Technology Research Institute,Shanghai Space Propulsion,Shanghai,China

3. Harbin Nuoxin University of Technology Measurement and Control Technology Co., Ltd.,Harbin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606969/10607399/10607528.pdf?arnumber=10607528

Reference17 articles.

1. A Survey of Train Positioning Solutions

2. High-Speed Train Positioning Using Deep Kalman Filter With 5G NR Signals

3. Train integrated positioning method based on GPS/INS/RFID

4. Kalman Based Data Fusion Algorithm for High Accuracy Train Positioning

5. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

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