机译:改进的CrackNet在3D沥青表面上基于深度学习的全自动路面裂缝检测
Southwest Jiaotong Univ, Dept Civil Engn, Chengdu 610031, Sichuan, Peoples R China;
Southwest Jiaotong Univ, Dept Civil Engn, Chengdu 610031, Sichuan, Peoples R China;
Oklahoma State Univ, Dept Civil & Environm Engn, 207 Engn South, Stillwater, OK 74078 USA;
Oklahoma State Univ, Dept Civil & Environm Engn, 207 Engn South, Stillwater, OK 74078 USA;
Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Sichuan, Peoples R China;
Oklahoma State Univ, Dept Civil & Environm Engn, 207 Engn South, Stillwater, OK 74078 USA;
Oklahoma State Univ, Dept Civil & Environm Engn, 207 Engn South, Stillwater, OK 74078 USA;
Southwest Jiaotong Univ, Dept Civil Engn, Chengdu 610031, Sichuan, Peoples R China;
Deep learning; Convolutional neural networks; Pavement crack;
机译:通过基于深度学习的CrackNet-V对3D沥青路面图像进行像素级裂缝检测
机译:使用深度学习网络在3D沥青表面上自动进行像素级路面裂缝检测
机译:循环神经网络在3D沥青表面上自动进行像素级路面裂缝检测
机译:基于深度卷积神经网络的自动沥青路面裂缝检测与分类
机译:用于路面自动轮径裂缝检测的改进协议。
机译:使用深度学习技术基于视觉的自动检测混凝土表面裂缝
机译:沥青路面中基于核技术的路面裂缝检测对比评价
机译:沥青路面维修实践手册:沥青路面路面密封和填充裂缝的材料和程序。沥青路面路面坑洼修复材料与程序