避免碰撞时少走弯路

Li Ning, Rong Zhou, Yong Zhang, D. Yu, Francis C. M. Lau
{"title":"避免碰撞时少走弯路","authors":"Li Ning, Rong Zhou, Yong Zhang, D. Yu, Francis C. M. Lau","doi":"10.1109/ICSSE.2018.8520258","DOIUrl":null,"url":null,"abstract":"Existing collision avoidance approaches for multiagent navigation often cause excessive detouring as a side effect. In this work, we propose an approach that navigates the agents with much less deviation from the ideal route, while efficiently avoiding potential collisions.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Taking Less Detour when Avoiding the Collisions\",\"authors\":\"Li Ning, Rong Zhou, Yong Zhang, D. Yu, Francis C. M. Lau\",\"doi\":\"10.1109/ICSSE.2018.8520258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing collision avoidance approaches for multiagent navigation often cause excessive detouring as a side effect. In this work, we propose an approach that navigates the agents with much less deviation from the ideal route, while efficiently avoiding potential collisions.\",\"PeriodicalId\":431387,\"journal\":{\"name\":\"2018 International Conference on System Science and Engineering (ICSSE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on System Science and Engineering (ICSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSE.2018.8520258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2018.8520258","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

现有的多智能体导航避碰方法往往会产生过多绕行的副作用。在这项工作中,我们提出了一种方法,使智能体与理想路线的偏差更小,同时有效地避免了潜在的碰撞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taking Less Detour when Avoiding the Collisions
Existing collision avoidance approaches for multiagent navigation often cause excessive detouring as a side effect. In this work, we propose an approach that navigates the agents with much less deviation from the ideal route, while efficiently avoiding potential collisions.
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:481959085
Book学术官方微信