用于驾驶辅助应用的带智能轮胎的道路传感

IF 0.9 Q4 ENGINEERING, MECHANICAL
Tong Zhao, M. Kaliske, Yintao Wei
{"title":"用于驾驶辅助应用的带智能轮胎的道路传感","authors":"Tong Zhao, M. Kaliske, Yintao Wei","doi":"10.2346/tire.22.22005","DOIUrl":null,"url":null,"abstract":"\n Tires with embedded sensors enable them to be active sensing components. Intelligent tires have increased potential in sensing not only the state of the tire itself but the related properties of the road. This Technical Note briefly describes the application of accelerometer-based intelligent tires in sensing the adhesion level and unevenness of the road. A combined tire longitudinal dynamic model is introduced to estimate the tire-road friction from the waveform features of the acceleration signals. Data-driven methods are adopted to directly classify the road unevenness level from the original signals. Primary analyses and experiments verify the proposed method. Road sensing with intelligent tires contributes to the development of active safety control and driving assistance systems.","PeriodicalId":44601,"journal":{"name":"Tire Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Road Sensing with Intelligent Tires for Driving Assistance Applications\",\"authors\":\"Tong Zhao, M. Kaliske, Yintao Wei\",\"doi\":\"10.2346/tire.22.22005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Tires with embedded sensors enable them to be active sensing components. Intelligent tires have increased potential in sensing not only the state of the tire itself but the related properties of the road. This Technical Note briefly describes the application of accelerometer-based intelligent tires in sensing the adhesion level and unevenness of the road. A combined tire longitudinal dynamic model is introduced to estimate the tire-road friction from the waveform features of the acceleration signals. Data-driven methods are adopted to directly classify the road unevenness level from the original signals. Primary analyses and experiments verify the proposed method. Road sensing with intelligent tires contributes to the development of active safety control and driving assistance systems.\",\"PeriodicalId\":44601,\"journal\":{\"name\":\"Tire Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tire Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2346/tire.22.22005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tire Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2346/tire.22.22005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

摘要

带有嵌入式传感器的轮胎使其成为主动传感部件。智能轮胎不仅在感知轮胎本身的状态,而且在感知道路的相关特性方面具有更大的潜力。本技术说明简要介绍了基于加速度计的智能轮胎在检测路面附着力和不平坦度方面的应用。引入了一种组合轮胎纵向动力学模型,根据加速度信号的波形特征估计轮胎与道路的摩擦。采用数据驱动的方法从原始信号中直接对道路不平坦程度进行分类。初步分析和实验验证了该方法的正确性。智能轮胎的道路传感有助于主动安全控制和驾驶辅助系统的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Sensing with Intelligent Tires for Driving Assistance Applications
Tires with embedded sensors enable them to be active sensing components. Intelligent tires have increased potential in sensing not only the state of the tire itself but the related properties of the road. This Technical Note briefly describes the application of accelerometer-based intelligent tires in sensing the adhesion level and unevenness of the road. A combined tire longitudinal dynamic model is introduced to estimate the tire-road friction from the waveform features of the acceleration signals. Data-driven methods are adopted to directly classify the road unevenness level from the original signals. Primary analyses and experiments verify the proposed method. Road sensing with intelligent tires contributes to the development of active safety control and driving assistance systems.
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
Tire Science and Technology
Tire Science and Technology ENGINEERING, MECHANICAL-
CiteScore
2.10
自引率
0.00%
发文量
11
期刊介绍: Tire Science and Technology is the world"s leading technical journal dedicated to tires. The Editor publishes original contributions that address the development and application of experimental, analytical, or computational science in which the tire figures prominently. Review papers may also be published. The journal aims to assure its readers authoritative, critically reviewed articles and the authors accessibility of their work in the permanent literature. The journal is published quarterly by the Tire Society, Inc., an Ohio not-for-profit corporation whose objective is to increase and disseminate knowledge of the science and technology of tires.
×
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