BI-TST_YOLOv5: Ground Defect Recognition Algorithm Based on Improved YOLOv5 Model
Jiahao Qin,
Xiaofeng Yang,
Tianyi Zhang
et al.
Abstract:Pavement defect detection technology stands as a pivotal component within intelligent driving systems, demanding heightened precision and rapid detection rates. Addressing the complexities arising from diverse defect types and intricate backgrounds in visual sensing, this study introduces an enhanced approach to augment the network structure and activation function within the foundational YOLOv5 algorithm. Initially, modifications to the YOLOv5’s architecture incorporate an adjustment to the Leaky ReLU activat… Show more
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