Authors:
Elena Magán
;
Agapito Ledezma
;
Paz Sesmero
and
Araceli Sanchis
Affiliation:
Computer Science and Engineering Deparment, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés (Madrid), Spain
Keyword(s):
ADAS, Advanced Driver Assistance System, Alarm System, Fuzzy Logic, Multi-agent Systems, Ontology.
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.