Agent-based framework for Advanced Driver Assistance Systems in urban environments

This paper presents a novel agent-based system focused on high level reasoning as part of the development of Advanced Driver Assistance Systems. This approach focuses on the driving safety, in particular, in urban environments in electric urban cars. The main point of the proposed approach 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. The proposed system uses an OWL Ontology to represent the concepts and its relation about the urban traffic environment. This system is developed by using a novel multi-agent framework.