Safety improvement of Ant Colony Algorithm for UAV Conflict Resolution

Xusheng Gan, Shuangfeng Li, Jingjuan Sun
{"title":"Safety improvement of Ant Colony Algorithm for UAV Conflict Resolution","authors":"Xusheng Gan, Shuangfeng Li, Jingjuan Sun","doi":"10.1109/IICSPI48186.2019.9095947","DOIUrl":null,"url":null,"abstract":"To improve the reliability of flight conflict resolution for UAV for safety operation in airspace, ant colony algorithm is introduced to improve the safety for UAV collision advoidance. Firstly, the airspace environment of UAV operation is described, and then path planning of UAV is elaborated, finally safety improvement of ant colony algorithm is given for UAV conflict resolution. Simulation vallidates the effectiveness and feasibility.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"47 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 2nd International Conference on Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI48186.2019.9095947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To improve the reliability of flight conflict resolution for UAV for safety operation in airspace, ant colony algorithm is introduced to improve the safety for UAV collision advoidance. Firstly, the airspace environment of UAV operation is described, and then path planning of UAV is elaborated, finally safety improvement of ant colony algorithm is given for UAV conflict resolution. Simulation vallidates the effectiveness and feasibility.
蚁群算法在无人机冲突解决中的安全性改进
为提高无人机空域安全运行飞行冲突解决的可靠性,引入蚁群算法提高无人机避碰安全性。首先描述了无人机作业的空域环境,然后阐述了无人机的路径规划,最后给出了蚁群算法在无人机冲突解决中的安全性改进。仿真验证了该方法的有效性和可行性。
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 求助全文
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