LEGS DETECTION USING A LASER RANGE FINDER FOR HUMAN ROBOT INTERACTION

Flávio Garcia Pereira, Raquel Frizera Vassallo, Evandro Ottoni Teatini Salles

2010

Abstract

The ability to detect humans is an important skill for service robots, especially if these robots are employed in an environment where human presence is constant, for instance a service robot which works as a receptionist in the hall of a hotel. The principal aim of the proposed method is to estimate the human position using data provided by a Laser Range Finder (LRF). The method utilizes two Finite State Machines (FSMs) to detect some leg patterns and, after that, it computes the probability of being a pair of legs for each detected pattern. In order to validate the proposed method some experiments were performed and are shown.

References

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Paper Citation


in Harvard Style

Garcia Pereira F., Frizera Vassallo R. and Ottoni Teatini Salles E. (2010). LEGS DETECTION USING A LASER RANGE FINDER FOR HUMAN ROBOT INTERACTION . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-01-0, pages 129-134. DOI: 10.5220/0002880501290134


in Bibtex Style

@conference{icinco10,
author={Flávio Garcia Pereira and Raquel Frizera Vassallo and Evandro Ottoni Teatini Salles},
title={LEGS DETECTION USING A LASER RANGE FINDER FOR HUMAN ROBOT INTERACTION},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2010},
pages={129-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002880501290134},
isbn={978-989-8425-01-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - LEGS DETECTION USING A LASER RANGE FINDER FOR HUMAN ROBOT INTERACTION
SN - 978-989-8425-01-0
AU - Garcia Pereira F.
AU - Frizera Vassallo R.
AU - Ottoni Teatini Salles E.
PY - 2010
SP - 129
EP - 134
DO - 10.5220/0002880501290134