Using ontologies for the formalization and recognition of criticality for automated driving

L Westhofen, C Neurohr, M Butz… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Knowledge representation and reasoning has a long history of examining how knowledge
can be formalized, interpreted, and semantically analyzed by machines. In the area of …

Traffic rules compliance checking of automated vehicle maneuvers

H Bhuiyan, G Governatori, A Bond… - Artificial Intelligence and …, 2024 - Springer
Abstract Automated Vehicles (AVs) are designed and programmed to follow traffic rules.
However, there is no separate and comprehensive regulatory framework dedicated to AVs …

Ontology-based decision making on uncontrolled intersections and narrow roads

L Zhao, R Ichise, T Yoshikawa, T Naito… - 2015 IEEE intelligent …, 2015 - ieeexplore.ieee.org
Many Advanced Driver Assistance Systems (ADAS) have been developed to improve car
safety. However, it is still a challenging problem to make autonomous vehicles to drive safely …

Ontology-based driving decision making: A feasibility study at uncontrolled intersections

L Zhao, R Ichise, Z Liu, S Mita… - IEICE TRANSACTIONS on …, 2017 - search.ieice.org
This paper presents an ontology-based driving decision making system, which can promptly
make safety decisions in real-world driving. Analyzing sensor data for improving …

Ontology-based driving scene modeling, situation assessment and decision making for autonomous vehicles

L Huang, H Liang, B Yu, B Li… - 2019 4th Asia-Pacific …, 2019 - ieeexplore.ieee.org
In this paper, an ontology-based driving scene modeling, situation assessment and decision
making method for autonomous vehicles in urban environment is proposed. Firstly, an …

Personalizing HMI elements in ADAS using ontology meta-models and rule based reasoning

Y Lilis, E Zidianakis, N Partarakis, M Antona… - Universal Access in …, 2017 - Springer
Abstract Advanced Driver Assistant systems (ADAS) are receiving increased research focus
as they promote a safer and more comfortable driving experience. In this context …

Ontologies for advanced driver assistance systems

L Zhao, R Ichise, S Mita, Y Sasaki - 人工知能学会第二種研究会資料, 2015 - jstage.jst.go.jp
Many Advanced Driver Assistance Systems (ADAS) have been developed to improve car
safety. A Knowledge Base is indispensable for autonomous vehicles to perceive driving …

[PDF][PDF] Semantic checking of different type information sources about permitted speeds in railway transport

VI Shynkarenko, LI Zhuchyi - 2022 - crust.ust.edu.ua
The infrastructure of railway stations must ensure a high level of safety when trains move at
the declared speeds. The operation of various infrastructure elements is carried out in …

[HTML][HTML] A data–information–knowledge cycle for modeling driving behavior

C Al Haddad, C Antoniou - … research part F: traffic psychology and …, 2022 - Elsevier
When talking about automation,“autonomous vehicles”, often abbreviated as AVs, come to
mind. In transitioning from the “driver” mode to the different automation levels, there is an …

An ontology model for communicating with an autonomous mobile platform

R Cupek, A Ziebinski, M Fojcik - … Efficient Solutions for Data Analysis and …, 2017 - Springer
This document presents an ontology-based communication interface dedicated for an
autonomous mobile platform (AMP). All data between the Platform and other controllers …