Review of recent automated pothole-detection methods

YM Kim, YG Kim, SY Son, SY Lim, BY Choi, DH Choi - Applied Sciences, 2022 - mdpi.com
Potholes, a kind of road defect, can damage vehicles and negatively affect drivers' safe
driving, and in severe cases can lead to traffic accidents. Efficient and preventive …

Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning

R Bibi, Y Saeed, A Zeb, TM Ghazal… - Computational …, 2021 - Wiley Online Library
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …

Automated road defect and anomaly detection for traffic safety: a systematic review

M Rathee, B Bačić, M Doborjeh - Sensors, 2023 - mdpi.com
Recently, there has been a substantial increase in the development of sensor technology.
As enabling factors, computer vision (CV) combined with sensor technology have made …

Smart pothole detection using deep learning based on dilated convolution

KR Ahmed - Sensors, 2021 - mdpi.com
Roads make a huge contribution to the economy and act as a platform for transportation.
Potholes in roads are one of the major concerns in transportation infrastructure. A lot of …

Pothole detection using computer vision and learning

A Dhiman, R Klette - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Techniques for identifying potholes on road surfaces aim at developing strategies for real-
time or offline identification of potholes, to support real-time control of a vehicle (for driver …

Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources

MT Cao, QV Tran, NM Nguyen, KT Chang - Advanced Engineering …, 2020 - Elsevier
Detecting road damage quickly and accurately facilitates the ability of road-maintenance
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …

Pothole detection using location-aware convolutional neural networks

H Chen, M Yao, Q Gu - International Journal of Machine Learning and …, 2020 - Springer
Poor road conditions, such as potholes, are a nuisance to society, which would annoy
passengers, damage vehicles, and even cause accidents. Thus, detecting potholes is an …

Computer vision based pothole detection under challenging conditions

B Bučko, E Lieskovská, K Zábovská, M Zábovský - Sensors, 2022 - mdpi.com
Road discrepancies such as potholes and road cracks are often present in our day-to-day
commuting and travel. The cost of damage repairs caused by potholes has always been a …

Real-time pothole detection using deep learning

AA Shaghouri, R Alkhatib, S Berjaoui - arXiv preprint arXiv:2107.06356, 2021 - arxiv.org
Roads are connecting line between different places, and used daily. Roads' periodic
maintenance keeps them safe and functional. Detecting and reporting the existence of …

A deep learning-based approach for road pothole detection in timor leste

V Pereira, S Tamura, S Hayamizu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This research proposes a low-cost solution for detecting road potholes image by using
convolutional neural network (CNN). Our model is trained entirely on the image which …