Ontology based scene creation for the development of automated vehicles

G Bagschik, T Menzel, M Maurer - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
The introduction of automated vehicles without permanent human supervision demands a
functional system description, including functional system boundaries and a comprehensive …

Formalization of intersection traffic rules in temporal logic

S Maierhofer, P Moosbrugger… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Intersections are difficult to navigate for both human drivers and autonomous vehicles
because several diverse traffic rules must be considered. In addition, current traffic rules are …

Formalization of interstate traffic rules in temporal logic

S Maierhofer, AK Rettinger, EC Mayer… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
To allow autonomous vehicles to safely participate in traffic and to avoid liability claims for
car manufacturers, autonomous vehicles must obey traffic rules. However, current traffic …

Decision-making and planning method for autonomous vehicles based on motivation and risk assessment

Y Wang, C Wang, W Zhao, C Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

A scenario-adaptive driving behavior prediction approach to urban autonomous driving

X Geng, H Liang, B Yu, P Zhao, L He, R Huang - Applied Sciences, 2017 - mdpi.com
Driving through dynamically changing traffic scenarios is a highly challenging task for
autonomous vehicles, especially on urban roadways. Prediction of surrounding vehicles' …

Rule-based decision-making system for autonomous vehicles at intersections with mixed traffic environment

A Aksjonov, V Kyrki - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …

Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine

X Wang, X Qi, P Wang, J Yang - Autonomous Intelligent Systems, 2021 - Springer
With the development of autonomous car, a vehicle is capable to sense its environment
more precisely. That allows improved drving behavior decision strategy to be used for more …

Failure detection and prevention for cyber-physical systems using ontology-based knowledge base

N Ali, JE Hong - Computers, 2018 - mdpi.com
Cyber-physical systems have emerged as a new engineering paradigm, which combine the
cyber and physical world with comprehensive computational and analytical tools to solve …

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 …

A hybrid driving decision-making system integrating markov logic networks and connectionist AI

M Wu, FR Yu, PX Liu, Y He - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Connectionist artificial intelligence (AI) can power many critical tasks for connected and
autonomous vehicles (CAVs). However, connectionist AI lacks interpretability and usually …