Kang Peifeng, Huang Kang, Yang Yang, Zhong Yanjiong, W. Lili
{"title":"Modeling and implementation on the behavior of autonomous vehicle in the virtual traffic environment","authors":"Kang Peifeng, Huang Kang, Yang Yang, Zhong Yanjiong, W. Lili","doi":"10.1109/ICVES.2007.4456384","DOIUrl":null,"url":null,"abstract":"This paper gives a new method in implement perception unit combining both micro and macro environment. The detailed micro information of user data is organized in triangular and the octree mechanism makes queries more effective. The macro environment was provided to vehicle, by traffic logic maps. This paper focuses on how to use the steering behaviors model in implementing traffic behaviors, such as accident avoiding, road following and lane changing, in order to make autonomous vehicle more intelligent.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Vehicular Electronics and Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2007.4456384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper gives a new method in implement perception unit combining both micro and macro environment. The detailed micro information of user data is organized in triangular and the octree mechanism makes queries more effective. The macro environment was provided to vehicle, by traffic logic maps. This paper focuses on how to use the steering behaviors model in implementing traffic behaviors, such as accident avoiding, road following and lane changing, in order to make autonomous vehicle more intelligent.