UAV path planning for passive multi-target following in complex environment

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

Abstract

In this paper the problem of following multiple noncooperative and high agile surface targets using multiple fixed-wing unmanned aerial vehicles (UAVs) in complex environment is studied and a real-time rule-based target following algorithm is proposed. The complex environment consists of hard threats, soft threats and sensor missed detections. The multi-dimensional assignment algorithm is applied to address the data association problem, and the target trajectory approximation algorithm is then developed to determine the motion trajectories of the targets. And a simulation example is given to verify the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages7863-7868
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

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

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Complex Environment
  • K-Coverage Problem
  • Path Planning
  • Receding Horizon Control Problem
  • Target Following

Fingerprint

Dive into the research topics of 'UAV path planning for passive multi-target following in complex environment'. Together they form a unique fingerprint.

Cite this