Road condition monitoring using smart sensing and artificial intelligence: A review

E Ranyal, A Sadhu, K Jain - Sensors, 2022 - mdpi.com
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …

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 …

Pothole and plain road classification using adaptive mutation dipper throated optimization and transfer learning for self driving cars

AA Alhussan, DS Khafaga, ESM El-Kenawy… - IEEE …, 2022 - ieeexplore.ieee.org
Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in
front of self-driving cars has a significant impact on the car's driving safety and comfort …

Convolution neural networks for pothole detection of critical road infrastructure

AK Pandey, R Iqbal, T Maniak, C Karyotis… - Computers and …, 2022 - Elsevier
A well developed and maintained highway infrastructure is essential for the economic and
social prosperity of modern societies. Highway maintenance poses significant challenges …

6G connected vehicle framework to support intelligent road maintenance using deep learning data fusion

M Hijji, R Iqbal, AK Pandey, F Doctor… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The growth of IoT, edge and mobile Artificial Intelligence (AI) is supporting urban authorities
exploit the wealth of information collected by Connected and Autonomous Vehicles (CAV) …

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 …

[HTML][HTML] Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison

R Nyirandayisabye, H Li, Q Dong, T Hakuzweyezu… - Results in …, 2022 - Elsevier
In recent years, different technologies based on Machine Learning (ML) algorithms have
been developed to evaluate road distress quality and help with pavement maintenance …

Pavement roughness index estimation and anomaly detection using smartphones

Q Yu, Y Fang, R Wix - Automation in construction, 2022 - Elsevier
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …

Comparison of CNN-based models for pothole detection in real-world adverse conditions: overview and evaluation

M Jakubec, E Lieskovská, B Bučko, K Zábovská - Applied Sciences, 2023 - mdpi.com
Potholes pose a significant problem for road safety and infrastructure. They can cause
damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect …