当前位置: 首页> 国外交通期刊数据库 >详情
原文传递 Application of SVM for Simple Diagnosis of Road Surface Roughness Measured by Smartphone
题名: Application of SVM for Simple Diagnosis of Road Surface Roughness Measured by Smartphone
其他题名: 1)国土交通省道路局::総点検実施要領案(舗装編),2013.http://www.mlit.go.jp/road/ir/ir-council/pdf/roadstock05.pdf
正文语种: 日文
作者: 毅力 果奇
关键词: Maintenance;Support vector machine (SVM);Standard deviation;Simple Diagnosis;Roughness
摘要: Recently, acceleration sensors / gyro sensor and so on have been embedded in smartphones and be-come popular. We can gather various kinds of information simply and on a massive scale by using such familiar information device. Therefore, in this study, we focus on acceleration data gathered by smartphone embedded sensors. Analysis the acceleration / angular velocity data by statistical processing to restrain the influence of measuring condition and extract features. Then, we propose a simple assessment method that utilizes features and using a Support Vector Machine (SVM) to classify the road surface roughness. Moreover, confirms the effectiveness of the proposed method.
出版年: 2018
论文唯一标识: C-226Y2018V53N04021
中文栏目名称: 交通工学論文集 第4卷 第4号
英文栏目名称: JSTE Journal of Traffic Engineering Vol.4, No.4
论文中文关键词: 維持管理;サポートベクトルマシーン(SVM);標準偏差;簡易診断;平坦性
期刊名称: 交通工学
拼音刊名(出版物代码): C-226
卷: 53
期: 04
页码: 75-84
检索历史
应用推荐