{"title":"基于一维卷积神经网络的自动驾驶汽车路面抗滑性能估算","authors":"Feng Chen, Zhongchang Luo, Tao Ma, Siyu Chen","doi":"10.1080/10298436.2024.2343086","DOIUrl":null,"url":null,"abstract":"The pavement skid resistance is critical to the driving safety of a road. Automated vehicles, which have high requirements for environmental perception, are not yet commonly equipped with an estima...","PeriodicalId":14212,"journal":{"name":"International Journal of Pavement Engineering","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the pavement skid resistance by automated vehicle based on one-dimensional convolutional neural network\",\"authors\":\"Feng Chen, Zhongchang Luo, Tao Ma, Siyu Chen\",\"doi\":\"10.1080/10298436.2024.2343086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The pavement skid resistance is critical to the driving safety of a road. Automated vehicles, which have high requirements for environmental perception, are not yet commonly equipped with an estima...\",\"PeriodicalId\":14212,\"journal\":{\"name\":\"International Journal of Pavement Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Pavement Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10298436.2024.2343086\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pavement Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10298436.2024.2343086","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Estimation of the pavement skid resistance by automated vehicle based on one-dimensional convolutional neural network
The pavement skid resistance is critical to the driving safety of a road. Automated vehicles, which have high requirements for environmental perception, are not yet commonly equipped with an estima...
期刊介绍：
Pavement Engineering is important for facilitating national and international movement of people, services, and goods. Building and preserving efficient, reliable, and sustainable highway and airport pavement systems is crucial for economic and social development.
The International Journal of Pavement Engineering is dedicated to the publication of cutting edge research and development in such important types of structures and facilities, including advanced analytical and computational techniques and pavement mechanics; material characterization and innovative laboratory testing techniques, non-destructive testing and evaluation; novel design approaches and their implementation; construction techniques and strategies; rehabilitation, preservation, and maintenance strategies and approaches; bound and unbound pavement performance; pavement life cycle assessment and life cycle cost analysis; pavement management systems. The Journal publishes the latest research findings from all over the world as well as case studies. Hence, one of the journal aims is to bring together and disseminate results of advanced research and its implementation across the world. Occasionally, the journal publishes state-of-the-art reviews on pavement engineering aiming to transfer advanced pavement understanding to the international user community as well as special issues focusing on subjects of importance and interest to the pavement community.
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