基于智能手机的道路异常检测事件聚合

V. Nguyen, É. Renault, R. Milocco
{"title":"基于智能手机的道路异常检测事件聚合","authors":"V. Nguyen, É. Renault, R. Milocco","doi":"10.23919/PEMWN47208.2019.8986942","DOIUrl":null,"url":null,"abstract":"The automatic identification of road anomaly can be used to reduce the risk for drivers and the maintenance cost of the roads. Nowadays, with the wide popularity of smartphones that include multiple sensors, several solutions have been proposed to detect these anomalies. This paper proposes a method to synthesize pothole data sent from smartphones to identify pothole location with a high accuracy. The effectiveness of the approach has been determined by means of simulations.","PeriodicalId":440043,"journal":{"name":"2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Event Aggregation for Smartphone-based Road-Anomaly Detection\",\"authors\":\"V. Nguyen, É. Renault, R. Milocco\",\"doi\":\"10.23919/PEMWN47208.2019.8986942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The automatic identification of road anomaly can be used to reduce the risk for drivers and the maintenance cost of the roads. Nowadays, with the wide popularity of smartphones that include multiple sensors, several solutions have been proposed to detect these anomalies. This paper proposes a method to synthesize pothole data sent from smartphones to identify pothole location with a high accuracy. The effectiveness of the approach has been determined by means of simulations.\",\"PeriodicalId\":440043,\"journal\":{\"name\":\"2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/PEMWN47208.2019.8986942\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PEMWN47208.2019.8986942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

道路异常的自动识别可以降低驾驶员的风险和道路的维护成本。如今,随着包含多个传感器的智能手机的广泛普及,已经提出了几种解决方案来检测这些异常。本文提出了一种综合智能手机发送的坑穴数据进行高精度坑穴定位的方法。通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event Aggregation for Smartphone-based Road-Anomaly Detection
The automatic identification of road anomaly can be used to reduce the risk for drivers and the maintenance cost of the roads. Nowadays, with the wide popularity of smartphones that include multiple sensors, several solutions have been proposed to detect these anomalies. This paper proposes a method to synthesize pothole data sent from smartphones to identify pothole location with a high accuracy. The effectiveness of the approach has been determined by means of simulations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信