An embedded intelligent system for on-line anomaly detection of unmanned aerial vehicle-Reference-Cited by-同舟云学术

An embedded intelligent system for on-line anomaly detection of unmanned aerial vehicle

Published:2018-06-22 Issue:6 Volume:34 Page:3535-3545
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Wang Benkuan¹,Chen Yafeng²,Liu Datong¹,Peng Xiyuan¹

Affiliation:

1. Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China

2. Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Unmanned aerial vehicle pathfollowing: A survey and analysis of algorithms for fixed-wingunmanned aerial vehicles;Sujit;IEEE Control Systems,2014

2. Autopilots for small unmannedaerial vehicles: A survey;Chao;International Journal of ControlAutomation & Systems,2010

3. Emerging technologies: Use of Unmanned Aerial Systems in the realisation of Vision Goals in the Counties;Odido;International Journal of Applied,2013

4. Uncertain UAV ISR missionplanning problem with multiple correlated objectives;Wang;Journalof Intelligent & Fuzzy Systems,2017

5. Towards autonomous microuav swarms;Bürkle;Journal of intelligent & robotic systems,2011

Cited by 23 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. An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder;Aerospace;2024-05-14

2. Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data;Lecture Notes in Computer Science;2024

3. Markov enhanced I-LSTM approach for effective anomaly detection for time series sensor data;International Journal of Intelligent Networks;2024

4. Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. UAV sensor data applications with deep neural networks: A comprehensive survey;Engineering Applications of Artificial Intelligence;2023-08