A Self-Supervised Learning Approach to Road Anomaly Detection Using Masked Autoencoders-Reference-Cited by-同舟云学术

A Self-Supervised Learning Approach to Road Anomaly Detection Using Masked Autoencoders

Published:2024-06-13 Issue: Volume: Page:536-547
ISSN:
Container-title:International Conference on Transportation and Development 2024
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Author:

Dutta Proma¹²³⁴⁴,Kanti Podder Kanchon¹²³⁴⁴,Zhang Jian¹²³⁴⁴,Hecht Christian¹²³⁴⁴,Swarna Surya¹²³⁴⁴,Bhavsar Parth¹²³⁴⁴

Affiliation:

1. Dept. of Civil and Environmental Engineering, Kennesaw State Univ.

2. Dept. of Electrical Engineering, Kennesaw State Univ.

3. Dept. of Information Technology, Kennesaw State Univ., Marietta, GA

4. Center for Research and Education in Advanced Transportation Engineering Systems, Rowan Univ., Glassboro, NJ

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485538.047

Reference15 articles.

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3. Bhavsar, P., Bouaynaya, N., Mehta, Y., and Chowdhury, M. (2022). Systems and methods for data collection and performance monitoring of transportation infrastructure. In: Google Patents.

4. Chen H. Yao M. Gu Q. J. I. J. o. M. L. and Cybernetics. (2020). Pothole detection using location-aware convolutional neural networks. 11(4) 899–911.

5. Dhiman A. and Klette R. J. I. T. o. I. T. S. (2019). Pothole detection using computer vision and learning. 21(8) 3536–3550.