Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection

In the domain of traffic safety and road maintenance, precise detection of road damage is crucial for ensuring safe driving and prolonging road durability. However, current methods often fall short due to limited data. Prior attempts have used Generative Adversarial Networks to generate damage with...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-09, Vol.25 (9), p.12361-12371
Hauptverfasser:	Chen, Tengyang, Ren, Jiangtao
Format:	Artikel
Sprache:	eng
Schlagworte:	data argumentation Data augmentation Data models Defect detection generative adversarial network Generative adversarial networks Inspection Poisson blending Poisson equations Road damage detection Roads Surface cracks texture synthesis Training
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