Skip to main navigation Skip to search Skip to main content

Pose estimation with multiple sources using evolutionary algorithms

  • Claudio Rossi
  • , Antonio Barrientos
  • , Jaime Del Cerro
  • , Pedro Gutierrez
  • , Alexander Martinez
  • , Rodrigo San Martin

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

Abstract

An important feature of heterogeneous multi-robots systems is the availability of sensing information coming from multiple sources or points of view. Team members can exchange localization information regarding a target, or provide extra sensor information to team-mates that lack of certain sensing capabilities. In this paper, we present two examples of multi-robot pose estimation in a team of robots composed by unmanned aerial and terrestrial vehicles. Information integration is achieved through an evolutionary-based vision algorithm. Experiments have been performed part on virtual-reality simulations and part in-field.

Original languageEnglish
Title of host publication2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Spain
Duration: 03 Oct 200705 Oct 2007

Publication series

Name2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Conference

Conference2007 IEEE International Symposium on Intelligent Signal Processing, WISP
Country/TerritorySpain
CityAlcala de Henares
Period03/10/0705/10/07

Fingerprint

Dive into the research topics of 'Pose estimation with multiple sources using evolutionary algorithms'. Together they form a unique fingerprint.

Cite this