Multiple UCAVs cooperative path planning in dynamic environments

Xiao Wei Fu, Xiao Guang Gao

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

Abstract

A kind of cooperative dynamic path planning algorithm for multiple UCAVs in dynamic environments is presented. If there is a pop-up threat when UCAVs are enroute to terminal point, the algorithm calculates the value of the threat. If the pop-up threat was a more valuable target, the algorithm assigns the target to one of UCAVs. The UCAV attack the target in time. If the pop-up threat was not a more valuable target, the algorithm plans path for all UCAVs to evade the threat. Due to time available to plan and the feasibility of the planning result are considered, the algorithm is able to process the new information at any time. The simulation results demonstrate the method is able to make UCAV to complete its task more autonomously.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages1708-1711
Number of pages4
DOIs
StatePublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Bayesian optimization algorithm
  • Cooperative path planning
  • Dynamic environments
  • Ucavs

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