A multi - Platform cooperative localization method based on dead reckoning and particle filtering

Yongqiang Han, Chenchen Wei, Tongchun Lu, Ruirong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

A multi-node cooperative localization method is proposed based on dead reckoning and particle filter, which can enhance the robustness and accuracy of the whole localization network. Only one reference node is needed to conduct the position estimation of the unknown node. A cooperative navigation network is constructed using the navigation information of each node, such as unmanned aerial vehicles, ground vehicles, unmanned platforms and even dismounted soldiers etc. Each node is required to share navigation and positioning information. And when some of the nodes are disabled under circumstances such as GPS failure or system malfunction, other nodes can provide them with cooperative localization capability to improve the navigation robustness of the whole localization system.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages4037-4041
Number of pages5
ISBN (Electronic)9789881563972
DOIs
Publication statusPublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Cooperative localization
  • Dead reckoning
  • Monte Carlo algorithm
  • Particle filtering

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