一种基于车辆导航系统的类胶囊受限搜索区域路径规划算法

Xiaowei Ma, Lingjuan Miao, Qingqian Liu
{"title":"一种基于车辆导航系统的类胶囊受限搜索区域路径规划算法","authors":"Xiaowei Ma, Lingjuan Miao, Qingqian Liu","doi":"10.1109/ICACI.2012.6463206","DOIUrl":null,"url":null,"abstract":"In order to further improve the efficiency and reliability of current path planning algorithms applied to embedded vehicle navigation systems, a novel path planning algorithm is proposed in this paper based on a concise topology electronic map. In the proposed algorithm, the traditional searching area is optimized by tackling the path planning problem in a capsule-like restricted area. Furthermore, the feasibility and reliability of the algorithm is guaranteed by setting the dynamic parameter. Simulation results verify that the proposed algorithm finds the optimal shortest path in a short time and performs better than conventional algorithms in terms of effectiveness and reliability.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A path planning algorithm with a capsule-like restricted searching area based on vehicle navigation system\",\"authors\":\"Xiaowei Ma, Lingjuan Miao, Qingqian Liu\",\"doi\":\"10.1109/ICACI.2012.6463206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to further improve the efficiency and reliability of current path planning algorithms applied to embedded vehicle navigation systems, a novel path planning algorithm is proposed in this paper based on a concise topology electronic map. In the proposed algorithm, the traditional searching area is optimized by tackling the path planning problem in a capsule-like restricted area. Furthermore, the feasibility and reliability of the algorithm is guaranteed by setting the dynamic parameter. Simulation results verify that the proposed algorithm finds the optimal shortest path in a short time and performs better than conventional algorithms in terms of effectiveness and reliability.\",\"PeriodicalId\":404759,\"journal\":{\"name\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"184 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2012.6463206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了进一步提高当前应用于嵌入式车辆导航系统的路径规划算法的效率和可靠性,本文提出了一种基于简洁拓扑电子地图的路径规划算法。在该算法中,将传统的搜索区域通过解决类似于胶囊的受限区域中的路径规划问题来进行优化。通过动态参数的设置,保证了算法的可行性和可靠性。仿真结果表明,该算法能在短时间内找到最优路径,在有效性和可靠性方面优于传统算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A path planning algorithm with a capsule-like restricted searching area based on vehicle navigation system
In order to further improve the efficiency and reliability of current path planning algorithms applied to embedded vehicle navigation systems, a novel path planning algorithm is proposed in this paper based on a concise topology electronic map. In the proposed algorithm, the traditional searching area is optimized by tackling the path planning problem in a capsule-like restricted area. Furthermore, the feasibility and reliability of the algorithm is guaranteed by setting the dynamic parameter. Simulation results verify that the proposed algorithm finds the optimal shortest path in a short time and performs better than conventional algorithms in terms of effectiveness and reliability.
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
×
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:604180095
Book学术官方微信