Modeling and implementation on the behavior of autonomous vehicle in the virtual traffic environment

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
虚拟交通环境中自动驾驶车辆行为的建模与实现
本文提出了一种将微观环境与宏观环境相结合的感知单元实现方法。用户数据的详细微观信息以三角形组织,八叉树机制使查询更有效。通过交通逻辑图为车辆提供宏观环境。本文主要研究如何利用转向行为模型来实现自动驾驶汽车的交通行为,如避免事故、跟随道路和变道等,从而使自动驾驶汽车更加智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Precise eye location in driver fatigue state surveillance system Modeling and implementation on the behavior of autonomous vehicle in the virtual traffic environment Analysis of schedulability of CAN based on RM algorithm A vibration-controlled resonant accelerometer design and its application to the single structured gyroscope/accelerometer system An algorithm based on SVM ensembles for motorcycle recognition
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1