Distribution equalization learning mechanism for road crack detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.057
Abstract: Abstract Visual-based road crack detection becomes a hot research topic over the last decade because of its huge application demands. Road crack detection is actually a special form of salient object detection task, whose objects… read more here.
Keywords: detection; crack detection; distribution equalization; road crack ... See more keywords
Road Crack Detection Using Deep Neural Network Based on Attention Mechanism and Residual Structure
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DOI: 10.1109/access.2022.3233072
Abstract: Intelligent detection of road cracks is crucial for road maintenance and safety. because of the interference of illumination and totally different background factors, the road crack extraction results of existing deep learning ways square measure… read more here.
Keywords: road; network; road crack; detection ... See more keywords
Adaptive Canny and Semantic Segmentation Networks Based on Feature Fusion for Road Crack Detection
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DOI: 10.1109/access.2023.3279888
Abstract: Road cracks, which are a common hazard in pavements throughout the life cycle of a road, can degrade the performance of the road, shorten its service life, and endanger the safety of vehicles. Traditional vision… read more here.
Keywords: road; feature fusion; road crack; crack detection ... See more keywords
RADNet: Adaptive Spatial-Dilation Learning for Efficient Road Crack Detection
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DOI: 10.1109/access.2025.3555032
Abstract: Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational efficiency due to complex texture similarities between cracks and road surfaces. In this paper,… read more here.
Keywords: detection; road crack; adaptive spatial; road ... See more keywords
Self-Derived Multimodal Knowledge Distillation for Real-Time Road Crack Detection
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DOI: 10.1109/jsen.2025.3602294
Abstract: Road crack detection is vital for intelligent transportation and infrastructure maintenance. In recent years, deep learning-based methods have emerged for automated road crack detection with enhanced performance. Nevertheless, existing methods fail to balance detection performance,… read more here.
Keywords: detection; road crack; road; crack detection ... See more keywords
BARNet: Boundary Aware Refinement Network for Crack Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3069135
Abstract: Road crack is one of the prominent problems that can frequently occur in highways and main roads. The manual road crack evaluation is laborious, time-consuming, inaccurate, and it has several implementation issues. Conversely, the computer… read more here.
Keywords: crack; network; road crack; barnet boundary ... See more keywords
Flexi-YOLO: A lightweight method for road crack detection in complex environments
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DOI: 10.1371/journal.pone.0325993
Abstract: Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet… read more here.
Keywords: detection; road crack; crack detection; flexi yolo ... See more keywords
A Novel Road Crack Detection Method Based on the YOLO Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152312354
Abstract: With the exponential growth of road transportation infrastructure, the need for pavement maintenance has increased significantly. Surface cracking represents a critical evaluation metric in roadway inspection. Conventional manual inspection methods impose substantial demands on personnel… read more here.
Keywords: road; road crack; crack detection; novel road ... See more keywords