[HTML][HTML] A review of vision-based pothole detection methods using computer vision and machine learning

Y Safyari, M Mahdianpari, H Shiri - Sensors, 2024 - mdpi.com
Potholes and other road surface damages pose significant risks to vehicles and traffic safety.
The current methods of in situ visual inspection for potholes or cracks are inefficient, costly …

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 …

An automated machine-learning approach for road pothole detection using smartphone sensor data

C Wu, Z Wang, S Hu, J Lepine, X Na, D Ainalis… - Sensors, 2020 - mdpi.com
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …

Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier

S Ranjbar, FM Nejad, H Zakeri - Automation in Construction, 2024 - Elsevier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …

An image-based system for asphalt pavement bleeding inspection

S Ranjbar, FM Nejad, H Zakeri - International Journal of Pavement …, 2022 - Taylor & Francis
The pavement distress information is essential for evaluating the pavement. Automatic
pavement inspection systems can be so beneficial in providing needed information on …

Embracing crowdsensing: An enhanced mobile sensing solution for road anomaly detection

X Li, D Huo, DW Goldberg, T Chu, Z Yin… - … International Journal of …, 2019 - mdpi.com
Road anomaly detection is essential in road maintenance and management; however,
continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and …

Pavement Distress Detection, Classification and Analysis using Machine Learning Algorithms: A Survey

R Kothai, N Prabakaran, YVS Murthy… - IEEE …, 2024 - ieeexplore.ieee.org
Distress is any observable deterioration or damage that negatively impacts the road's
performance and safety. Potholes cracks, rutting, and bleeding are a few examples of …

[PDF][PDF] Asphalt pavement bleeding evaluation using deep learning and wavelet transform

S Ranjbar, F Moghadas Nejad, H Zakeri - Amirkabir Journal of Civil …, 2022 - ceej.aut.ac.ir
Pavement inspection is an important part of pavement management systems because this
part provides input and raw material information to the system. If the pavement situation has …

Road to Repair (R2R): An Afrocentric Sensor-Based Solution to Enhanced Road Maintenance

DA Jordan, S Paine, AK Mishra, J Pidanic - IEEE Access, 2023 - ieeexplore.ieee.org
Potholes are one of the most important issues in African road-networks. They pose a major
threat to mobility and, with time, cause accelerated degradation of the underlying road …

P3De-a novel pothole detection algorithm using 3D depth estimation

S Das, A Kale - 2021 2nd international conference for emerging …, 2021 - ieeexplore.ieee.org
While several approaches to pothole detection take place in processed live video, there is a
huge need for an End-to-End learning system which can help us understand the depth of …