Ontology based scene creation for the development of automated vehicles
The introduction of automated vehicles without permanent human supervision demands a
functional system description, including functional system boundaries and a comprehensive …
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 …
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 …
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 …
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' …
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 …
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 …
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
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 …
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 …
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
Connectionist artificial intelligence (AI) can power many critical tasks for connected and
autonomous vehicles (CAVs). However, connectionist AI lacks interpretability and usually …
autonomous vehicles (CAVs). However, connectionist AI lacks interpretability and usually …