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Authors: Jens Hensler ; Michael Blaich and Oliver Bittel

Affiliation: University of Applied Sciences, Germany

Keyword(s): Door detection, AdaBoost, Learning algorithm, Mobile robot.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems ; Vision and Perception

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.

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 53-57. DOI: 10.5220/0002721200530057

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Hensler, J.
AU - Blaich, M.
AU - Bittel, O.
PY - 2010
SP - 53
EP - 57
DO - 10.5220/0002721200530057
PB - SciTePress

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