Fuzzy Alarm System based on Human-centered Approach

Elena Magán, Agapito Ledezma, Paz Sesmero, Araceli Sanchis

2020

Abstract

This paper presents an Advanced Driver Assistance System (ADAS), based on a fuzzy logic decision support system and developed by using a multi-agent system. The ADAS is designed so that it can detect dangerous situations on urban environments and alert the driver about them if necessary. For that, it collects data from the car, the car’s surroundings and the driver, and represents the information as an OWL ontology. Then, a fuzzy logic inference system uses this information to evaluate whether there is danger or not. The system can detect 9 dangerous situations by using a repository of 14 fuzzy rules, based on a previous work and expanded on this one. Although with limitations, the results show that the ADAS can alert the driver when the driver is in a dangerous situation.

Paper Citation

in Harvard Style

Magán E., Ledezma A., Sesmero P. and Sanchis A. (2020). Fuzzy Alarm System based on Human-centered Approach.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 448-455. DOI: 10.5220/0009348704480455

in Bibtex Style

@conference{vehits20,
author={Elena Magán and Agapito Ledezma and Paz Sesmero and Araceli Sanchis},
title={Fuzzy Alarm System based on Human-centered Approach},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={448-455},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009348704480455},
isbn={978-989-758-419-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Fuzzy Alarm System based on Human-centered Approach
SN - 978-989-758-419-0
AU - Magán E.
AU - Ledezma A.
AU - Sesmero P.
AU - Sanchis A.
PY - 2020
SP - 448
EP - 455
DO - 10.5220/0009348704480455