Enhancing Road Crack Localization for Sustainable Road Safety Using HCTNet

Road crack detection is crucial for maintaining and inspecting civil infrastructure, as cracks can pose a potential risk for sustainable road safety. Traditional methods for pavement crack detection are labour-intensive and time-consuming. In recent years, computer vision approaches have shown encou...

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Veröffentlicht in:	Sustainability 2024-06, Vol.16 (11), p.4409
Hauptverfasser:	Yadav, Dhirendra Prasad, Sharma, Bhisham, Chauhan, Shivank, Amin, Farhan, Abbasi, Rashid
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Cracks Datasets Machine learning Machine vision Medical imaging equipment Methods Neural networks Roads & highways Wavelet transforms
Online-Zugang:	Volltext
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