Authors:
V. Zamora
;
O. Sipele
;
A. Ledezma
and
A. Sanchis
Affiliation:
Carlos III University of Madrid, Spain
Keyword(s):
Ontology, Advanced Driver Assistance System, ADAS, Traffic Scenarios, Multi-agent Systems, Alarms Systems.
Abstract:
This paper presents a rule-based alarm system as part of an ADAS. This work is developed by using a multi-agent
framework, and it focuses on the driving safety, in particular, in urban environments. The main point of
the proposed system is that it takes decisions based on the fusion of the information from the driver, the vehicle
status and the state of the road ahead, and it is designed to alert the driver of the car (without taking control
of it) only when the system considers that it is necessary. Five dangerous scenarios are defined, analysed and
studied, and a repository of rules is designed to help the driver in that situations. In order to represent the
concepts and its relation about the urban traffic environment, the system uses an OWL Ontology based on a
previous research and extended in this work.