Automatic Pavement Type Recognition based on Mobile Deep Learning
Automatic Pavement Type Recognition based on Mobile Deep Learning
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DOI：
10.1109/lifetech53646.2022.9754920
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
Reiya Murasaki;Kousuke Matsushima
中科院分区：
文献类型：
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作者：
Reiya Murasaki;Kousuke Matsushima
路面变形检测是保证行车安全的一项重要工作。近年来，作为机器学习方法之一的卷积神经网络（CNN）在路面状况检测中得到了广泛的研究。在本文中，我们提出了一种方法，可以实现最佳的路面变形检测在每个区域，假设一个移动的终端。
Pavement deformation detection is an essential task in order to maintain driving safety. In recent years, convolutional neural networks (CNN), one of the machine learning methods, have been widely studied for pavement condition detection. In this paper, we propose a method that can achieve optimal pavement deformation detection in each region, assuming a mobile terminal.