by T Schmitt, M Beetz, R Hanek and S Buck
Abstract:
In many autonomous robot applications robots must be capable of estimating the positions and motions of moving objects in their environments. In this paper, we apply probabilistic multiple object tracking to estimating the positions of opponent players in autonomous robot soccer. We extend an existing tracking algorithm to handle multiple mobile sensors with uncertain positions, discuss the specification of probabilistic models needed by the algorithm, and describe the required vision-interpretation algorithms. The multiple object tracking has been successfully applied throughout the RoboCup 2001 world championship.
Reference:
Watch their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer (T Schmitt, M Beetz, R Hanek and S Buck), In The Eighteenth National Conference on Artificial Intelligence, 2002.
Bibtex Entry:
@inproceedings{schmitt_watch_2002,
author = {T Schmitt and M Beetz and R Hanek and S Buck},
title = {Watch their Moves: Applying Probabilistic Multiple Object Tracking
to Autonomous Robot Soccer},
booktitle = {The Eighteenth National Conference on Artificial Intelligence},
year = {2002},
address = {Edmonton, Canada},
abstract = {In many autonomous robot applications robots must be capable of estimating
the positions and motions of moving objects in their environments.
In this paper, we apply probabilistic multiple object tracking to
estimating the positions of opponent players in autonomous robot
soccer. We extend an existing tracking algorithm to handle multiple
mobile sensors with uncertain positions, discuss the specification
of probabilistic models needed by the algorithm, and describe the
required vision-interpretation algorithms. The multiple object tracking
has been successfully applied throughout the {RoboCup} 2001 world
championship.},
}