赛车四轴飞行器的自主系统

Adriano M. C. Rezende, Victor R. F. Miranda, Henrique N. Machado, Antonio C. B. Chiella, V. M. Gonçalves, G. Freitas
{"title":"赛车四轴飞行器的自主系统","authors":"Adriano M. C. Rezende, Victor R. F. Miranda, Henrique N. Machado, Antonio C. B. Chiella, V. M. Gonçalves, G. Freitas","doi":"10.1109/ICAR46387.2019.8981660","DOIUrl":null,"url":null,"abstract":"In this paper, we present a methodology to make an autonomous drone fly through a sequence of gates only with on-board sensors. Our work is a solution to the AlphaPilot Challenge, proposed by the Lookheed Martin Company and the Drone Racing League. First, we propose a strategy to generate a smooth trajectory that passes through the gates. Then, we develop a localization system, which merges image data from an on-board camera with IMU data. Finally, we present an artificial vector field based strategy used to control the quadcopter. Our results are validated with simulations in the official simulator of the competition and with preliminary experiments with a real drone.","PeriodicalId":6606,"journal":{"name":"2019 19th International Conference on Advanced Robotics (ICAR)","volume":"10 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Autonomous System for a Racing Quadcopter\",\"authors\":\"Adriano M. C. Rezende, Victor R. F. Miranda, Henrique N. Machado, Antonio C. B. Chiella, V. M. Gonçalves, G. Freitas\",\"doi\":\"10.1109/ICAR46387.2019.8981660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a methodology to make an autonomous drone fly through a sequence of gates only with on-board sensors. Our work is a solution to the AlphaPilot Challenge, proposed by the Lookheed Martin Company and the Drone Racing League. First, we propose a strategy to generate a smooth trajectory that passes through the gates. Then, we develop a localization system, which merges image data from an on-board camera with IMU data. Finally, we present an artificial vector field based strategy used to control the quadcopter. Our results are validated with simulations in the official simulator of the competition and with preliminary experiments with a real drone.\",\"PeriodicalId\":6606,\"journal\":{\"name\":\"2019 19th International Conference on Advanced Robotics (ICAR)\",\"volume\":\"10 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 19th International Conference on Advanced Robotics (ICAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAR46387.2019.8981660\",\"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 19th International Conference on Advanced Robotics (ICAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAR46387.2019.8981660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

在本文中,我们提出了一种方法,使自主无人机仅通过机载传感器通过一系列门。我们的工作是AlphaPilot挑战赛的解决方案,由Lookheed Martin公司和无人机赛车联盟提出。首先,我们提出了一种策略来生成通过门的平滑轨迹。然后,我们开发了一个定位系统,该系统将车载相机的图像数据与IMU数据合并。最后,我们提出了一种基于人工向量场的四轴飞行器控制策略。我们的研究结果在比赛的官方模拟器上进行了模拟,并在真实的无人机上进行了初步实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous System for a Racing Quadcopter
In this paper, we present a methodology to make an autonomous drone fly through a sequence of gates only with on-board sensors. Our work is a solution to the AlphaPilot Challenge, proposed by the Lookheed Martin Company and the Drone Racing League. First, we propose a strategy to generate a smooth trajectory that passes through the gates. Then, we develop a localization system, which merges image data from an on-board camera with IMU data. Finally, we present an artificial vector field based strategy used to control the quadcopter. Our results are validated with simulations in the official simulator of the competition and with preliminary experiments with a real drone.
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