AN ONTOLOGY-BASED INTELLIGENT SPEED ADAPTATION SYSTEM FOR AUTONOMOUS CARS Presentation by Lihua Zhao JIST2014 Lihua Zhao, Toyota Technological Institute, Japan Ryutaro Ichise, National Institute of Informatics, Japan Seiichi Mita, Toyota Technological Institute, Japan Yutaka Sasaki, Toyota Technological Institute, Japan
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An Ontology-Based Intelligent Speed Adaptation System for Autonomous Cars
Intelligent Speed Adaptation (ISA) is one of the key tech- nologies for Advanced Driver Assistance Systems (ADAS), which aims to reduce car accidents by supporting drivers to comply with the speed limit. Context awareness is indispensable for autonomous cars to perceive driving environment, where the information should be represented in a machine-understandable format. Ontologies can represent knowledge in a format that machines can understand and perform human-like reason- ing. In this paper, we present an ontology-based ISA system that can detect overspeed situations by accessing to the ontology-based Knowl- edge Base (KB). We conducted experiments on a car simulator as well as on real-world data collected with an intelligent car. Sensor data are converted into RDF stream data and we construct SPARQL queries and a C-SPARQL query to access to the Knowledge Base. Experimental re- sults show that the ISA system can promptly detect overspeed situations by accessing to the ontology-based Knowledge Base.
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Transcript
AN ONTOLOGY-BASED
INTELLIGENT SPEED
ADAPTATION SYSTEM FOR
AUTONOMOUS CARS
Presentation by Lihua ZhaoJIST2014
Lihua Zhao, Toyota Technological Institute, Japan
Ryutaro Ichise, National Institute of Informatics, Japan
Seiichi Mita, Toyota Technological Institute, Japan
Yutaka Sasaki, Toyota Technological Institute, Japan
Outline
Motivation
Related Work
Approach
Experiment
Conclusion & Future Work
2
Avoid overspeed to reduce car accidents.
Advanced Driver Assistance Systems (ADAS)
Intelligent Speed Adaptation (ISA): one of the most cost-efficient
way to improve roadway safety.
Enable autonomous cars to perceive driving
environment.
Ontology-based Knowledge Base
Advanced Digital Map: road information, speed limits, etc.
Traffic Regulations
Motivation3
Use ontology and 14 SWRL rules to enable the vehicle to
understand the context information when it approaches road
intersections. [Armand, 2014]
Automation level ontology and situation assessment ontology
are designed for co-driving. [Pollard, 2013]
A complex intersection ontology (car, crossing, road connection,
and sign at crossing) is introduced for fast reasoning. [Hulsen, 2011]
An ontology-based traffic model that can represent typical traffic
scenarios such as intersections, multi-lane roads, opposing traffic,
and bi-directional lanes is introduced. [Regele,2008]