[HTML][HTML] A review of vision-based pothole detection methods using computer vision and machine learning
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 …
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
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 …
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
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
An image-based system for asphalt pavement bleeding inspection
The pavement distress information is essential for evaluating the pavement. Automatic
pavement inspection systems can be so beneficial in providing needed information on …
pavement inspection systems can be so beneficial in providing needed information on …
Embracing crowdsensing: An enhanced mobile sensing solution for road anomaly detection
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 …
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
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 …
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
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 …
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
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 …
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 …
huge need for an End-to-End learning system which can help us understand the depth of …