Case-Based Indoor Navigation

Alessandro Micarelli, Giuseppe Sansonetti

2007

Abstract

The purpose of this paper is to present a novel approach to the problem of autonomous robot navigation in a partially structured environment. The proposed solution is based on the ability of recognizing digital images that have been artificially obtained by applying a sensor fusion algorithm to ultrasonic sensor readings. Such images are classified in different categories using the well known Case-Based Reasoning (CBR) technique, as defined in the Artificial Intelligence domain. The architecture takes advantage of fuzzy theory for the construction of digital images, and wavelet functions for their analysis.

References

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Paper Citation


in Harvard Style

Micarelli A. and Sansonetti G. (2007). Case-Based Indoor Navigation . In Robot Vision - Volume 1: Robot Vision, (VISAPP 2007) ISBN 978-972-8865-76-4, pages 97-106. DOI: 10.5220/0002069300970106


in Bibtex Style

@conference{robot vision07,
author={Alessandro Micarelli and Giuseppe Sansonetti},
title={Case-Based Indoor Navigation},
booktitle={Robot Vision - Volume 1: Robot Vision, (VISAPP 2007)},
year={2007},
pages={97-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002069300970106},
isbn={978-972-8865-76-4},
}


in EndNote Style

TY - CONF
JO - Robot Vision - Volume 1: Robot Vision, (VISAPP 2007)
TI - Case-Based Indoor Navigation
SN - 978-972-8865-76-4
AU - Micarelli A.
AU - Sansonetti G.
PY - 2007
SP - 97
EP - 106
DO - 10.5220/0002069300970106