ADABOOST BASED DOOR DETECTION FOR MOBILE ROBOTS

Jens Hensler, Michael Blaich, Oliver Bittel

Abstract

Doors are important landmarks for robot self localization and navigation in indoor environments. Existing algorithms for door detection are often limited to restricted environments. They do not consider the large intra-class variability of doors. In this paper we present a camera- and laser-based approach which allows finding more than 82% of all doors with a false positive rate less than 3% in static test sets. By using different door perspectives from a moving robot, we detect more than 90% of doors with a very low false detection rate.

References

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Paper Citation


in Harvard Style

Hensler J., Blaich M. and Bittel O. (2010). ADABOOST BASED DOOR DETECTION FOR MOBILE ROBOTS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 53-57. DOI: 10.5220/0002721200530057


in Bibtex Style

@conference{icaart10,
author={Jens Hensler and Michael Blaich and Oliver Bittel},
title={ADABOOST BASED DOOR DETECTION FOR MOBILE ROBOTS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={53-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002721200530057},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - ADABOOST BASED DOOR DETECTION FOR MOBILE ROBOTS
SN - 978-989-674-021-4
AU - Hensler J.
AU - Blaich M.
AU - Bittel O.
PY - 2010
SP - 53
EP - 57
DO - 10.5220/0002721200530057