@inproceedings{c557f6ec5c19436a95d68241be389e7a,
title = "Passive air defense threat detection and location for UAV swarms based on dynamic Bayesian networks",
abstract = "This article introduces an algorithm for passive detection and location of air defense threats, based on dynamic Bayesian networks. The algorithm can be applied to mobile robot swarms and uses data on the loss of communication with a UAV for the detection and location of passive enemy air defense threats. The article describes the algorithm and illustrates its work by example.",
keywords = "DBN, UAV, air defense, classification, communication, detection, dynamic Bayesian network, inference, location, swarm, unmanned aerial vehicles",
author = "Viacheslav Zotov and Xiaoguang Gao",
year = "2011",
doi = "10.1109/ICSSEM.2011.6081267",
language = "英语",
isbn = "9781457702471",
series = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011",
pages = "167--171",
booktitle = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011",
note = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011 ; Conference date: 22-10-2011 Through 23-10-2011",
}