DMC-YOLOv11: an improved pavement damage detection model based on YOLOv11

With the continuous growth of road traffic, pavement surface damage detection has become increasingly critical. To address the limitations of existing algorithms in detection accuracy and computational efficiency under complex scenarios, this study proposes DMC-YOLOv11, an enhanced pavement damage d...

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Autors principals:	Baohuan Li, Kunpeng Wang, Zhihao Liu, Min Huang, Shizheng Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-12-01
Col·lecció:	Systems Science & Control Engineering
Matèries:	Pavement damage detection deep-learning YOLOv11 DWConv cross-view feature fusion
Accés en línia:	https://www.tandfonline.com/doi/10.1080/21642583.2025.2579987
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