基于动态冲突检测模型的无人机冲突解决研究

2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT) Pub Date : 2021-10-01 DOI:10.1109/iceert53919.2021.00022

Qian Zhou, Guobao Cheng

{"title":"基于动态冲突检测模型的无人机冲突解决研究","authors":"Qian Zhou, Guobao Cheng","doi":"10.1109/iceert53919.2021.00022","DOIUrl":null,"url":null,"abstract":"UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on UAV conflict resolution based on dynamic conflict detection model\",\"authors\":\"Qian Zhou, Guobao Cheng\",\"doi\":\"10.1109/iceert53919.2021.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.\",\"PeriodicalId\":278054,\"journal\":{\"name\":\"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)\",\"volume\":\"245 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iceert53919.2021.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iceert53919.2021.00022","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

无人机已广泛应用于各行业，但目前主要是在孤立空域作业，限制了无人机的进一步发展。本文提出了一种改进的无人机冲突检测模型，建立了基于无人机与入侵者运行状态的动态冲突检测模型，并结合ORCA(Optimal Reciprocal Collision Avoidance)算法，基于检测结果实现了无人机的冲突去冲突，进一步提高了冲突去冲突的成功率，保证了无人机的安全高效运行。最后利用蒙特卡罗仿真对算法进行了仿真，验证了算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on UAV conflict resolution based on dynamic conflict detection model

UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.

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

2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)

自引率

0.00%

发文量