UAV Photogrammetry-Based 3D Road Distress Detection [PDF]
ISPRS International Journal of Geo-Information, 2019 The timely and proper rehabilitation of damaged roads is essential for road maintenance, and an effective method to detect road surface distress with high efficiency and low cost is urgently needed.
Yumin Tan, Yunxin Li
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Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching [PDF]
Sensors, 2022 Distresses, such as cracks, directly reflect the structural integrity of subway tunnels. Therefore, the detection of subway tunnel distress is an essential task in tunnel structure maintenance.
Keisuke Maeda +5 more
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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
Shuffle Attention-Based Pavement-Sealed Crack Distress Detection [PDF]
SensorsTo enhance the detection of pavement-sealed cracks and ensure the long-term stability of pavement performance, a novel approach called the shuffle attention-based pavement-sealed crack detection is proposed.
Bo Yuan +4 more
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Distress detection in VR environment using Empatica E4 wristband and Bittium Faros 360 [PDF]
Frontiers in PhysiologyIntroductionDistress detection in virtual reality systems offers a wealth of opportunities to improve user experiences and enhance therapeutic practices by catering to individual physiological and emotional states.MethodsThis study evaluates the ...
Jelena Medarević +4 more
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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
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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
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Automated classification and detection of multiple pavement distress images based on deep learning
Journal of Traffic and Transportation Engineering (English ed. Online), 2023 To achieve automatic, fast, efficient and high-precision pavement distress classification and detection, road surface distress image classification and detection models based on deep learning are trained. First, a pavement distress image dataset is built,
Deru Li +4 more
doaj +3 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
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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
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