학술논문

Agent-based framework for Advanced Driver Assistance Systems in urban environments
Document Type
Conference
Source
17th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2014 17th International Conference on. :1-8 Jul, 2014
Subject
Aerospace
Computing and Processing
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Vehicles
Ontologies
Roads
Safety
Urban areas
OWL
Watches
Advanced Driver Assistance System
Traffic Scenarios
Driving Task Analysis
Ontology
Multi-Agent Systems
Language
Abstract
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.