Acceleration-Based Deep Learning Method for Vehicle Monitoring-Reference-Cited by-同舟云学术

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Acceleration-Based Deep Learning Method for Vehicle Monitoring

Published:2021-08-01 Issue:15 Volume:21 Page:17154-17161
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhu Yanjie^ORCID,Sekiya Hidehiko,Okatani Takayuki,Yoshida Ikumasa,Hirano Shuichi

Funder

Tokyo Metropolitan Expressway Company Ltd.

Shutoko Engineering Company Ltd.

Highway Technology Research Center

Seiko Epson

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9502188/09437183.pdf?arnumber=9437183

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. Research on Filtering Algorithm of Vehicle Dynamic Weighing Signal;World Electric Vehicle Journal;2024-06-12

2. Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models;Sensors;2023-09-09

3. VibFormer Vibration Translation for Bridge Live-Load Displacement Monitoring;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

4. Virtual Axle Detector: Train Axle Localization based on Bridge Vibrations;ce/papers;2023-09

5. Quick Weighing of Passing Vehicles Using the Transfer-Learning-Enhanced Convolutional Neural Network;Computer Modeling in Engineering & Sciences;2023

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