基于虚幻引擎的卡车编队三维仿真研究与应用

Zhenzhou Wang, Fang Wu, Jiangnan Zhang, Jianguang Wu
{"title":"基于虚幻引擎的卡车编队三维仿真研究与应用","authors":"Zhenzhou Wang, Fang Wu, Jiangnan Zhang, Jianguang Wu","doi":"10.1117/12.3001392","DOIUrl":null,"url":null,"abstract":"In order to show the transport conditions of goods on different roads and provide more real and three-dimensional transport information for situation inference users, this paper proposes a simple and PID controlled three-dimensional simulation method for truck formation based on Unreal Engine. Firstly, based on the basic theory of automatic control [1] , the longitudinal lollipop controller and the transverse PID controller are designed respectively based on the lollipop control and PID control ideas, and the perception-decision framework is combined to realize the automatic driving of the truck along the spline line on the road. On this basis, a truck controller is designed to realize the truck formation driving with high recovery degree based on the leader-follower strategy. The results show that the truck based on PID control can accurately drive along the road line. With the cooperation of truck formation controller, the whole process of formation, maintenance and driving of truck formation can be basically restored.","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and application of 3D simulation of truck formation based on Unreal Engine\",\"authors\":\"Zhenzhou Wang, Fang Wu, Jiangnan Zhang, Jianguang Wu\",\"doi\":\"10.1117/12.3001392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to show the transport conditions of goods on different roads and provide more real and three-dimensional transport information for situation inference users, this paper proposes a simple and PID controlled three-dimensional simulation method for truck formation based on Unreal Engine. Firstly, based on the basic theory of automatic control [1] , the longitudinal lollipop controller and the transverse PID controller are designed respectively based on the lollipop control and PID control ideas, and the perception-decision framework is combined to realize the automatic driving of the truck along the spline line on the road. On this basis, a truck controller is designed to realize the truck formation driving with high recovery degree based on the leader-follower strategy. The results show that the truck based on PID control can accurately drive along the road line. With the cooperation of truck formation controller, the whole process of formation, maintenance and driving of truck formation can be basically restored.\",\"PeriodicalId\":210802,\"journal\":{\"name\":\"International Conference on Image Processing and Intelligent Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Image Processing and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3001392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Image Processing and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3001392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了展示货物在不同道路上的运输状况,为情景推理用户提供更加真实、立体的运输信息,本文提出了一种基于虚幻引擎的简单、PID控制的货车编队三维仿真方法。首先,在自动控制基本理论的基础上[1],基于棒棒糖控制和PID控制思想,分别设计纵向棒棒糖控制器和横向PID控制器,并结合感知-决策框架,实现货车沿样条线在道路上的自动驾驶。在此基础上,设计了基于leader-follower策略的货车编队高回收度驾驶控制器。结果表明,基于PID控制的卡车能够准确地沿道路行驶。在卡车编队控制器的配合下,可以基本恢复卡车编队的形成、维护和行驶的整个过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Research and application of 3D simulation of truck formation based on Unreal Engine
In order to show the transport conditions of goods on different roads and provide more real and three-dimensional transport information for situation inference users, this paper proposes a simple and PID controlled three-dimensional simulation method for truck formation based on Unreal Engine. Firstly, based on the basic theory of automatic control [1] , the longitudinal lollipop controller and the transverse PID controller are designed respectively based on the lollipop control and PID control ideas, and the perception-decision framework is combined to realize the automatic driving of the truck along the spline line on the road. On this basis, a truck controller is designed to realize the truck formation driving with high recovery degree based on the leader-follower strategy. The results show that the truck based on PID control can accurately drive along the road line. With the cooperation of truck formation controller, the whole process of formation, maintenance and driving of truck formation can be basically restored.
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
期刊最新文献
Evaluation of design factors of an interactive interface of intangible cultural heritage APP based on user experience Video description method with fusion of instance-aware temporal features A control system for fine farming of apple trees Chinese image description evaluation method based on target domain semantic constraints YOLO-H: a lightweight object detection framework for helmet wearing detection
×
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