@inproceedings{f02ea64a124b4ce985b0b84ea15c05d2,
title = "Morphological neural networks for real-time vision based self-localization",
abstract = "In this paper we present some real time results of the implementation on a mobile robot of visual self-localization algorithms based on Morphological Heteroassociative Memories (MHM). We propose a dual set of min/max MHM storing the views that serve as landmarks for self localization. The binarized input images are subject to erosion in order to increase the robustness of the recall process. We present some empirical results on basic navigation experiments in an indoor environment. We use as the measure of performance of our approach the rate of false recognition, conditioned to some landmark being recognized.",
author = "I. Villaverde and S. Iba{\~n}ez and Albizuri, \{F. X.\} and M. Gra{\~n}a",
year = "2005",
doi = "10.1007/3-540-32391-0\_15",
language = "English",
isbn = "3540250557",
series = "Advances in Soft Computing",
publisher = "Springer Verlag",
number = "AISC",
pages = "70--79",
booktitle = "Soft Computing as Transdisciplinary Science and Technology - Proceedings of the 4th IEEE International Workshop, WSTST 2005",
address = "Germany",
edition = "AISC",
note = "4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, WSTST 2005 ; Conference date: 25-05-2005 Through 27-05-2005",
}