TY - GEN
T1 - Pose estimation with multiple sources using evolutionary algorithms
AU - Rossi, Claudio
AU - Barrientos, Antonio
AU - Del Cerro, Jaime
AU - Gutierrez, Pedro
AU - Martinez, Alexander
AU - San Martin, Rodrigo
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51149117756&partnerID=8YFLogxK
U2 - 10.1109/WISP.2007.4447597
DO - 10.1109/WISP.2007.4447597
M3 - Conference contribution
AN - SCOPUS:51149117756
SN - 142440830X
SN - 9781424408306
T3 - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP
BT - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP
T2 - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP
Y2 - 3 October 2007 through 5 October 2007
ER -