Pavement surface defect recognition method based on vehicle system vibration data and feedforward neural network-Reference-Cited by-同舟云学术

Pavement surface defect recognition method based on vehicle system vibration data and feedforward neural network

Published:2023-03-22 Issue:1 Volume:24 Page:
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Liu Jian¹,Wang Yusen¹,Luo Hongzheng¹,Lv Gaohang¹,Guo Feng¹,Xie Quanyi¹

Affiliation:

1. School of Qilu Transportation, Shandong University, Jinan, People’s Republic of China

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2188594

Reference34 articles.

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2. A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors

3. Burningham S. and Stankevich N. 2005. Why road maintenance is important and how to get it done.

4. Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach

5. Chen K. et al . 2011. Pavement condition monitoring using on-board three-axis accelerometer and GPS sensor//2011 6th International ICST conference on communications and networking in China (CHINACOM). IEEE 1032–1037.

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