The Road to Safe Automated Driving Systems: A Review of Methods Providing Safety Evidence

M Gyllenhammar, GR de Campos… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In recent years, enormous investments in Automated Driving Systems (ADSs) have distinctly
advanced ADS technologies. Despite promises made by several high profile auto-makers, it …

Dynamic Risk Management in Cyber Physical Systems

D Schneider, J Reich, R Adler… - arxiv preprint arxiv …, 2024 - arxiv.org
Cyber Physical Systems (CPS) enable new kinds of applications as well as significant
improvements of existing ones in numerous different application domains. A major trait of …

Defining and Researching “Dynamic Systems of Systems”

R Adler, F Elberzhager, R Falcão, J Siebert - Software, 2024 - mdpi.com
Digital transformation is advancing across industries, enabling products, processes, and
business models that change the way we communicate, interact, and live. It radically …

Controlling Risk for Highly Automated Transportation Systems Operating in Complex Open Environments: A white paper of the SafeTRANS Closing the Gap Initiative

L Haas, A Haider, R Jung, T Poguntke, B Schick… - 2024 - opus4.kobv.de
This paper provides an approach for controlling the level of risk when operating highly
automated transportation systems like cars, trains and similar. Such systems replace human …

Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation

FAA Yagualca - 2023 - theses.hal.science
Deep Neural Networks (DNNs) have revolutionized various industries in the past decade,
such as highly automated vehicles and unmanned aerial vehicles. DNNs can achieve a …