Survey on scenario-based safety assessment of automated vehicles

S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …

Simulation-based adversarial test generation for autonomous vehicles with machine learning components

CE Tuncali, G Fainekos, H Ito… - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Many organizations are developing autonomous driving systems, which are expected to be
deployed at a large scale in the near future. Despite this, there is a lack of agreement on …

Correctness guarantees for the composition of lane keeping and adaptive cruise control

X Xu, JW Grizzle, P Tabuada… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper develops a control approach with correctness guarantees for the simultaneous
operation of lane keeping and adaptive cruise control. The safety specifications for these …

Requirements-driven test generation for autonomous vehicles with machine learning components

CE Tuncali, G Fainekos, D Prokhorov… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Autonomous vehicles are complex systems that are challenging to test and debug. A
requirements-driven approach to the development process can decrease the resources …

Scenario factory: Creating safety-critical traffic scenarios for automated vehicles

M Klischat, EI Liu, F Holtke… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The safety validation of motion planning algorithms for automated vehicles requires a large
amount of data for virtual testing. Currently, this data is often collected through real test …

[HTML][HTML] Model validation and scenario selection for virtual-based homologation of automated vehicles

S Riedmaier, D Schneider, D Watzenig, F Diermeyer… - Applied Sciences, 2020 - mdpi.com
Due to the rapid progress in the development of automated vehicles over the last decade,
their market entry is getting closer. One of the remaining challenges is the safety assessment …

Testing autonomous vehicle software in the virtual prototyping environment

B Kim, Y Kashiba, S Dai… - IEEE Embedded Systems …, 2016 - ieeexplore.ieee.org
Modern vehicle is equipped with autonomous features, such as precollision system or
adaptive cruise control to help people perform driving in a safer and more convenient way …

A systematic framework to identify violations of scenario-dependent driving rules in autonomous vehicle software

Q Zhang, DK Hong, Z Zhang, QA Chen… - Proceedings of the …, 2021 - dl.acm.org
Safety compliance is paramount to the safe deployment of autonomous vehicle (AV)
technologies in real-world transportation systems. As AVs will share road infrastructures with …

Feature-Interaction Sampling for Scenario-based Testing of Advanced Driver Assistance Systems✱

L Birkemeyer, T Pett, A Vogelsang, C Seidl… - Proceedings of the 16th …, 2022 - dl.acm.org
Scenario-based testing is considered state-of-the-art to verify and validate Advanced Driver
Assistance Systems. However, two essential unsolved challenges prevent the practical …

Sim-atav: Simulation-based adversarial testing framework for autonomous vehicles

CE Tuncali, G Fainekos, H Ito, J Kapinski - Proceedings of the 21st …, 2018 - dl.acm.org
One of the main challenges in testing autonomous driving systems is the presence of
machine learning components, such as neural networks, for which formal properties are …