基于滑移预测的改进D*Lite路径规划算法

Lanfeng Zhou, Weizhi Xie
{"title":"基于滑移预测的改进D*Lite路径规划算法","authors":"Lanfeng Zhou, Weizhi Xie","doi":"10.1109/ICIIBMS46890.2019.8991500","DOIUrl":null,"url":null,"abstract":"Path planning algorithm is an important algorithm in navigation system which are commonly used in mobile robots, unmanned vehicles and automated driving. the effectiveness and speed of planning processing determine whether the target can be successfully reached . In different environments and application scenarios, the planning algorithms need to be designed based on different environmental characteristics . Based on the application scenario of the lunar rover, this paper adds the slip variable into account, designs the slip prediction module, and improves the D*Lite algorithm to more effectively carry out the path planning in the complex environment.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved D*Lite path planning algorithm based on slip prediction\",\"authors\":\"Lanfeng Zhou, Weizhi Xie\",\"doi\":\"10.1109/ICIIBMS46890.2019.8991500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Path planning algorithm is an important algorithm in navigation system which are commonly used in mobile robots, unmanned vehicles and automated driving. the effectiveness and speed of planning processing determine whether the target can be successfully reached . In different environments and application scenarios, the planning algorithms need to be designed based on different environmental characteristics . Based on the application scenario of the lunar rover, this paper adds the slip variable into account, designs the slip prediction module, and improves the D*Lite algorithm to more effectively carry out the path planning in the complex environment.\",\"PeriodicalId\":444797,\"journal\":{\"name\":\"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIIBMS46890.2019.8991500\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIBMS46890.2019.8991500","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

路径规划算法是导航系统中的一种重要算法,在移动机器人、无人驾驶汽车和自动驾驶中都有广泛的应用。规划处理的有效性和速度决定了目标能否成功实现。在不同的环境和应用场景中,规划算法需要根据不同的环境特征进行设计。本文结合月球车的应用场景,考虑滑移变量,设计了滑移预测模块,并对D*Lite算法进行了改进,以便在复杂环境下更有效地进行路径规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved D*Lite path planning algorithm based on slip prediction
Path planning algorithm is an important algorithm in navigation system which are commonly used in mobile robots, unmanned vehicles and automated driving. the effectiveness and speed of planning processing determine whether the target can be successfully reached . In different environments and application scenarios, the planning algorithms need to be designed based on different environmental characteristics . Based on the application scenario of the lunar rover, this paper adds the slip variable into account, designs the slip prediction module, and improves the D*Lite algorithm to more effectively carry out the path planning in the complex environment.
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