Results 1 to 10 of about 9,695 (115)
Transformer–CNN Hybrid Framework for Pavement Pothole Segmentation [PDF]
Pavement surface defects such as potholes pose significant safety risks and accelerate infrastructure deterioration. Accurate and automated detection of such defects requires both advanced sensing technologies and robust deep learning models.
Tianjie Zhang +4 more
doaj +2 more sources
PaveDistress: A comprehensive dataset of pavement distresses detectionMendeley Data [PDF]
The PaveDistress dataset contains high-resolution images of road surface distresses, including cracks, repairs, potholes, and background images without defects.
Zhen Liu +3 more
doaj +2 more sources
A Low-Cost Deep Learning System to Characterize Asphalt Surface Deterioration
Every day millions of people travel on highways for work- or leisure-related purposes. Ensuring road safety is thus of paramount importance, and maintaining good-quality road pavements is essential, requiring an effective maintenance policy.
Diogo Inácio +3 more
doaj +1 more source
Prioritizing Roadway Pavement Marking Maintenance Using Lane Keep Assist Sensor Data
There are over four million miles of roads in the United States, and the prioritization of locations to perform maintenance activities typically relies on human inspection or semi-automated dedicated vehicles.
Justin A. Mahlberg +5 more
doaj +1 more source
Pavement Distress Estimation via Signal on Graph Processing
A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road
Salvatore Bruno +4 more
doaj +1 more source
Fuzzy Inference System for Predicting Functional Service Life of Concrete Pavements in Airports
Concerning one of the most important tasks of road structure management is the development of methods to predict their own functional or physical service life, which allows for objectively evaluating the state of road structures that are being considered
A. J. Prieto +3 more
doaj +1 more source
Predicting Pavement Condition Index Using Fuzzy Logic Technique
The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. The process of classifying pavement distress is usually performed by visual inspection of the pavement surface or using data collected by ...
Abdualmtalab Ali +3 more
doaj +1 more source
Leveraging LiDAR Intensity to Evaluate Roadway Pavement Markings
The United States has over 8.8 million lane miles nationwide, which require regular maintenance and evaluations of sign retroreflectivity, pavement markings, and other pavement information.
Justin A. Mahlberg +3 more
doaj +1 more source
Exploiting low-cost 3D imagery for the purposes of detecting and analyzing pavement distresses [PDF]
Road pavement conditions have significant impacts on safety, travel times, costs, and environmental effects. It is the responsibility of road agencies to ensure these conditions are kept in an acceptable state.
Di Mino G., Inzerillo L., Roberts R.
core +1 more source
Road pavement condition assessment is essential for maintenance, asset management, and budgeting for pavement infrastructure. Countries allocate a substantial annual budget to maintain and improve local, regional, and national highways.
Waqar S. Qureshi +6 more
doaj +1 more source

