Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
Transfer learning-based road damage detection for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
A review on pavement data acquisition and analytics tools using autonomous vehicles
C Abdollahi, M Mollajafari, A Golroo… - Road Materials and …, 2024 - Taylor & Francis
Nowadays, road maintenance is a crucial planning task for all road authorities across the
world, making them spend vast amounts of money on identification and rehabilitation …
world, making them spend vast amounts of money on identification and rehabilitation …
Advanced pavement distress recognition and 3D reconstruction by using GA-DenseNet and binocular stereo vision
Pavement distress detection is the first and most important step in pavement maintenance
procedures. The detection results directly determine the maintenance mileage and strategy …
procedures. The detection results directly determine the maintenance mileage and strategy …
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 …
performance and safety. Potholes cracks, rutting, and bleeding are a few examples of …
Real time road defect monitoring from UAV visual data sources
The use of UAVs and artificial intelligence has emerged as a promising approach for
monitoring road defects. This paper highlights the importance of these technologies in …
monitoring road defects. This paper highlights the importance of these technologies in …
UAV-based Localization of Removable Urban Pavement Elements Through Deep Object Detection Methods
We introduce a deep learning framework leveraging YOLOv8 architecture to automate the
localization of Removable Urban Pavements (RUPs) using UAV imagery. The core idea …
localization of Removable Urban Pavements (RUPs) using UAV imagery. The core idea …
Road safety analysis framework based on vehicle vibrations and sounds using deep learning techniques
PGR Pakkala, R Akhila Thejaswi, BS Rai… - International Journal of …, 2024 - Springer
Road accidents in India occur due to potholes. These potholes are not repaired because the
authorities will not be aware of them unless the public raises an issue. The lack of adequate …
authorities will not be aware of them unless the public raises an issue. The lack of adequate …
An Assessment of Road Condition Monitoring Practice and Technologies in the Philippines
JPT Dacanay, LV Torio-Kaimo… - … Conference on Civil …, 2023 - Springer
Road construction has been one of the main focuses of the Philippine government in the last
6 years under the Build, Build, Build Program. In addition to the existing road network, the …
6 years under the Build, Build, Build Program. In addition to the existing road network, the …