UAV path planning based on event density detection

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

5 Citations (Scopus)

Abstract

The method proposed in this paper supports the UAV network path definition in an autonomously way, taking into consideration the density of the detected events at each moment, in each place. We use the selforganizing maps to detect event patterns in the field of view of the sensors, allowing unmanned aerial vehicles (UAV) path definition based on events. The goal of this paper is to maximize the detection of ships using a UAV network.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009
PublisherIEEE Computer Society
Pages112-116
Number of pages5
ISBN (Print)9780769535272
DOIs
Publication statusPublished - 1 Jan 2009
EventInternational Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009 - Cancun, Mexico
Duration: 1 Feb 20097 Feb 2009

Conference

ConferenceInternational Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009
Country/TerritoryMexico
CityCancun
Period1/02/097/02/09

Keywords

  • Event density
  • Self-organizing maps
  • UAV planning

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