Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies-Reference-Cited by-同舟云学术

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Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies

Published:2024-06 Issue: Volume:16 Page:100547
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Ruseruka Cuthbert^ORCID,Mwakalonge Judith,Comert Gurcan,Siuhi Saidi,Ngeni Frank,Anderson Quincy

Publisher

Elsevier BV

Reference39 articles.

1. Guide for design of pavement structures,2020

2. ACSC. (2023, December 5). Pothole damage costs drivers $3 billion annually nationwide. Retrieved 11 February 2024, from https://news.aaa-calif.com/news/pothole-damage-costs-drivers-3-billion-annually-nationwide.

3. Predicting pavement structural condition using machine learning methods;Ahmed;Sustainability,2022

4. Real-time pothole detection using YOLOv5;Ajmera,2022

5. Crack-pot: autonomous road crack and pothole detection;Anand,2018

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1. Prediction of bike-sharing station demand using explainable artificial intelligence;Machine Learning with Applications;2024-09

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