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Safety Blind Spot in Remote Driving: Considerations for Risk Assessment of Connection Loss Fallback Strategies
Current remote driving concepts for public road traffic often establish a fallback strategy of immediate braking to a standstill in the event of a connection loss.
Towards Closing the Gap between Model-Based Systems Engineering and Automated Vehicle Assurance: Tailoring Generic Methods by Integrating Domain Knowledge
As complex systems, automated driving systems will inevitably be subject to emergent properties, i. e., the properties of the overall system will be more than just a sum of the properties of its integrated elements.
A Review of Conceptualizations of Safety and Risk in Current Automated Driving Regulation
In the communication between stakeholder groups, common notions of these abstract concepts are key for efficient communication and setting mutual expectations.
An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving
In this article, we propose the Semantic Norm Behavior Analysis as an ontology-based approach to specify the behavior for an Automated Driving System equipped vehicle.
Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving
The foundational role of datasets in defining the capabilities of deep learning models has led to their rapid proliferation.
A Concept for Semi-Automatic Configuration of Sufficiently Valid Simulation Setups for Automated Driving Systems
The latter contract captures the operating conditions of the test case in its assumption and validity requirements in its guarantee.
A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems
Using the online monitor, we infer the quality of the system's capabilities based on technical measurements acquired at runtime.
Showcasing Automated Vehicle Prototypes: A Collaborative Release Process to Manage and Communicate Risk
The development and deployment of automated vehicles pose major challenges for manufacturers to this day.
Identifikation auslösender Umstände von SOTIF-Gefährdungen durch systemtheoretische Prozessanalyse
Developers have to obtain a sound understanding of existing risk potentials already in the concept phase of driverless vehicles.
On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions
Automated driving systems are subject to various kinds of uncertainty during design, development, and operation.
Risk Management Core -- Towards an Explicit Representation of Risk in Automated Driving
While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk acceptance criteria for Automated Driving Systems (SAE Level 3 and higher).
ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model
Hence, the quality of the underlying models has to be evaluated with respect to the ODD.
Ein Beitrag zur durchgängigen, formalen Verhaltensspezifikation automatisierter Straßenfahrzeuge
With the introduction of the \textit{semantic norm behavior analysis} a method is proposed, which contributes to a traceable mapping of concerns towards the behavior of an automated vehicle in its operational environment to a formal rule system of semantic concepts for considered scenarios.
A Taxonomy to Unify Fault Tolerance Regimes for Automotive Systems: Defining Fail-Operational, Fail-Degraded, and Fail-Safe
This paper presents a taxonomy that allows defining the fault tolerance regimes fail-operational, fail-degraded, and fail-safe in the context of automotive systems.
A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring
Automated vehicles need to be aware of the capabilities they currently possess.
Sensitivity Analysis for Vehicle Dynamics Models -- An Approach to Model Quality Assessment for Automated Vehicles
Model-based approaches have become increasingly popular in the domain of automated driving.
Systems and Control Systems and Control
Assessment of Deep Convolutional Neural Networks for Road Surface Classification
When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire friction coefficient is an essential model parameter when it comes to control performance.
Scenarios for Development, Test and Validation of Automated Vehicles
In this paper, the authors present requirements for the representation of scenarios in different process steps defined by the ISO 26262 standard, propose a consistent terminology based on prior publications for the identified levels of abstraction, and demonstrate how scenarios can be systematically evolved along the phases of the development process outlined in the ISO 26262 standard.
Software Engineering
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 safety analysis.
Towards a Functional System Architecture for Automated Vehicles
This paper presents a functional system architecture for an automated vehicle.
Systems and Control Robotics
