ONTOLOGIES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS Presentation by Lihua Zhao SWO2015 Lihua Zhao, Toyota Technological Institute Ryutaro Ichise, National Institute of Informatics Seiichi Mita, Toyota Technological Institute Yutaka Sasaki, Toyota Technological Institute SIG-SWO-035-03
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
ONTOLOGIES FOR ADVANCED
DRIVER ASSISTANCE
SYSTEMS
Presentation by Lihua ZhaoSWO2015
Lihua Zhao, Toyota Technological Institute
Ryutaro Ichise, National Institute of
Informatics
Seiichi Mita, Toyota Technological Institute
Yutaka Sasaki, Toyota Technological Institute
SIG-SWO-035-03
Outline
Motivation
Related Work
Ontology-Based Knowledge Base
Advanced Driver Assistance ADAS Systems (ADAS)
Experiment
Conclusion & Future Work
2
Advanced Driver Assistance Systems (ADAS)
Perceive driving environment by processing sensor data.
Make driving decisions in different traffic situations.
Machine Understandable Ontology-based Knowledge Base
Advanced Digital Map
Road information, speed limits, etc.
Traffic Regulations
Right-of-Way Rules
Motivation3
Automation level ontology and situation assessment ontology are
designed for co-driving. [Pollard, 2013]
Use ontology and 14 SWRL rules to enable the vehicle to understand the
context information when it approaches road intersections. [Armand, 2014]
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-