融合注意力机制的道路病害识别算法研究  

Research on Road Disease Recognition Algorithm Based on Integrated Attention Mechanism

作　　者：缪泽远 Miao Zeyuan(Thinkcity Engineering Design Group Co.,Ltd.,Hangzhou,Zhejiang 310000)

机构地区：[1]西城工程设计集团有限公司,浙江杭州310000

出　　处：《现代工程科技》2025年第3期21-24,共4页Modern Engineering Technology

摘　　要：为了提高道路病害识别检测水平,提升道路维护效果,分析了注意力机制和Mobile Net V3算法基本理论,并且以某地区道路病害调查数据为研究样本,探讨了注意力机制在道路病害识别算法中的应用及改善优化措施,对比分析该方法和其他模型的应用效果。结果显示,在道路病害识别中采用注意力机制能够显著提高病害识别水平,并且比其他模型更加高效准确。由此可见,融合注意力机制的道路病害识别算法值得推广和应用。In order to improve the level of road disease recognition and detection and enhance the effect of road maintenance,this paper analyzes the basic theories of the attention mechanism and the Mobile Net V3 algorithm.Taking the road disease investigation data of a certain region as the research sample,it explores the application of the attention mechanism in the road disease recognition algorithm and the improvement and optimization measures,and makes a comparative analysis of the application effects of this method and other models.The results show that the adoption of the attention mechanism in road disease recognition can significantly improve the level of disease recognition,and it is more efficient and accurate than other models.Thus,it can be seen that the integrated attention mechanism can be popularized and applied in road disease recognition.

关 键 词：道路病害 注意力机制 Mobile Net V3算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] U418[交通运输工程—道路与铁道工程]