A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11431-022-2213-8.pdf
Reference140 articles.
1. Ullah S, Kim K I, Kim K H, et al. UAV-enabled healthcare architecture: Issues and challenges. Future Gener Comput Syst, 2019, 97: 425–432
2. Zailani M A H, Sabudin R Z A R, Rahman R A, et al. Drone for medical products transportation in maternal healthcare. Medicine, 2020, 99: e21967
3. Radoglou-Grammatikis P, Sarigiannidis P, Lagkas T, et al. A compilation of UAV applications for precision agriculture. Comput Netw, 2020, 172: 107148
4. Reddy Maddikunta P K, Hakak S, Alazab M, et al. Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges. IEEE Sens J, 2021, 21: 17608–17619
5. Gao T, Bai X. Bayesian optimization-based three-dimensional, time-varying environment monitoring using an UAV. J Intell Robot Syst, 2022, 105: 1–2
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators;IEEE Sensors Journal;2024-08-01
2. A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model;IEEE Sensors Journal;2024-07-15
3. Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network;Engineering Applications of Artificial Intelligence;2024-06
4. ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial Systems;Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2024-04-15
5. Spatio-temporal correlation-based multiple regression for anomaly detection and recovery of unmanned aerial vehicle flight data;Advanced Engineering Informatics;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3