Pose Estimation with Multiple Sources Using Evolutionary Algorithms

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Rossi, C., Barrientos, A., del Cerro, J., Gutierrez, P., Martinez, A., San Martin, R.
Format: Conference Proceeding
Language:English
Subjects:
Electronics industry
Evolutionary computation
Global Positioning System
Helicopters
Humans
Land vehicles
Multirobot systems
Robot kinematics
Robot sensing systems
Unmanned aerial vehicles
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/WISP.2007.4447597