Pavement Distress Detection Methods: A Review [PDF]
Infrastructures, 2018 The road pavement conditions affect safety and comfort, traffic and travel times, vehicles operating cost, and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all road users, the ...
Antonella Ragnoli +2 more
doaj +6 more sources
LTPLN: Automatic pavement distress detection. [PDF]
PLoS OneAutomatic pavement disease detection aims to address the inefficiency in practical detection. However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios.
Huang WQ, Feng L, He YL.
europepmc +3 more sources
UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images [PDF]
Data in Brief, 2023 The UAV-PDD2023 dataset consists of pavement distress images captured by unmanned aerial vehicles (UAVs) in China with more than 11,150 instances under two different weather conditions and across varying levels of construction quality.
Haohui Yan, Junfei Zhang
doaj +2 more sources
LRD-DETR: A Lightweight RT-DETR-Based Model for Road Distress Detection [PDF]
SensorsIntelligent road distress detection technology has emerged as an important research topic in the field of highway maintenance. However, the accuracy and practicality of pavement distress detection are constrained by multiple factors, primarily including ...
Chen Dong, Yunwei Zhang
doaj +2 more sources
Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data [PDF]
Data in BriefPavement distress detection plays a crucial role in pavement management and rehabilitation (M&R) by providing essential data for maintenance decision-making.
Mohammad Rezaeimanesh +6 more
doaj +2 more sources
A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction [PDF]
Scientific DataIn recent years, automated detection technologies for large-scale pavement distress have become a focal point of research in the transportation sector.
Hanlin Yang +9 more
doaj +2 more sources
Fine-Grained Detection of Pavement Distress Based on Integrated Data Using Digital Twin
Applied Sciences, 2023 The automated detection of distress such as cracks or potholes is a key basis for assessing the condition of pavements and deciding on their maintenance.
Weidong Wang +4 more
doaj +3 more sources
Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection [PDF]
SensorsPavement markings, as a crucial component of traffic guidance and safety facilities, are subject to degradation and abrasion after a period of service.
Ciyun Lin +4 more
doaj +2 more sources
Applying a Combination of the YOLOv8 Model and 3D Point Cloud Images in Asphalt Pavement Maintenance [PDF]
SensorsAsphalt pavement distress detection plays a pivotal role in highway maintenance, providing an essential basis for optimizing maintenance strategies and allocating funding. Consequently, quick detection and efficient identification of distress are crucial
Yangyang Wang +6 more
doaj +2 more sources
International Journal of Transportation Science and Technology, 2022 Pavement distresses, including cracking and disintegration, deteriorate road user’s comfort, damage vehicles, increase evasive maneuvers, and increase emissions.
Ce Zhang +3 more
doaj +3 more sources