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机译:采用卷积神经网络的基于图像的路面状况调查自动路面识别
School of Civil and Environmental Engineering Oklahoma State Univ. Stillwater OK 74078;
School of Civil and Environmental Engineering Oklahoma State Univ. Stillwater OK 74078;
School of Civil and Environmental Engineering Oklahoma State Univ. Stillwater OK 74078;
Chengdu Guimu Robot 888 Chenglong Rd. Chengdu Sichuan 610000 China;
School of Civil and Environmental Engineering Oklahoma State Univ. Stillwater OK 74078;
Dept. of Civil Engineering Univ. of Kentucky Lexington KY 40503;
Guangdong Provincial Academy of Building Research 121 E. Xianlie Rd. Guangzhou 510500 China;
Pavement condition data; Image-based pavement survey; Pavement management; Pavement type; Deep learning; Convolutional neural network;
机译:使用元启发式优化边缘检测算法和卷积神经网络自动识别沥青路面裂缝
机译:深度卷积神经网络的集合,用于自动路面裂纹检测和测量
机译:基于深度卷积神经网络的沥青路面裂缝长度识别
机译:卷积神经网络的基于图像的路面类型分类
机译:卷积神经网络的图像基础心血管建模的自动分割和不确定量化
机译:使用带有弱标签初始化的迭代优化卷积神经网络(IO-CNN)自动识别整体功能性脑网络
机译:深度卷积神经网络的集合,用于自动路面裂纹检测和测量
机译:开发一种全面,合理的方法确定现有路面剩余寿命的人工神经网络方法学理论评估211。