Testing vision-based control systems using learnable evolutionary algorithms

RB Abdessalem, S Nejati, LC Briand… - Proceedings of the 40th …, 2018 - dl.acm.org
Vision-based control systems are key enablers of many autonomous vehicular systems,
including self-driving cars. Testing such systems is complicated by complex and …

A survey on automated driving system testing: Landscapes and trends

S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo… - ACM Transactions on …, 2023 - dl.acm.org
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Methods for virtual validation of automotive powertrain systems in terms of vehicle drivability—a systematic literature review

H Schmidt, K Büttner, G Prokop - IEEE Access, 2023 - ieeexplore.ieee.org
For the last two decades, an extensive transition in automotive X-in-the-loop activities from
isolated electronic control units to real-time related, geographically distributed validation …

Targeting requirements violations of autonomous driving systems by dynamic evolutionary search

Y Luo, XY Zhang, P Arcaini, Z Jin… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple
requirements such as safety, compliance to traffic rules, and comfortableness. However …

What do traffic simulations have to provide for virtual road safety assessment? Human error modeling in traffic simulations

C Siebke, M Mai, G Prokop - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Will Advanced Driving Assistance Systems (ADAS) and Highly Automated Driving (HAD)
perform in the expected manner? Will they actually make road traffic safer, or will they …

Reflections on surrogate-assisted search-based testing: A taxonomy and two replication studies based on industrial ADAS and simulink models

S Nejati, L Sorokin, D Safin, F Formica… - Information and …, 2023 - Elsevier
Context: Surrogate-assisted search-based testing (SA-SBT) aims to reduce the
computational time for testing compute-intensive systems. Surrogates enhance testing …

Parameter coverage for testing of autonomous driving systems under uncertainty

T Laurent, S Klikovits, P Arcaini, F Ishikawa… - ACM Transactions on …, 2023 - dl.acm.org
Autonomous Driving Systems (ADSs) are promising, but must show they are secure and
trustworthy before adoption. Simulation-based testing is a widely adopted approach, where …

[HTML][HTML] Predicting the impact on road safety of an intersection AEB at urban intersections. Using a novel virtual test field for the assessment of conflict prevention …

C Siebke, M Bäumler, K Blenz, M Lehmann… - Transportation research …, 2023 - Elsevier
With the rise of Advanced Driver Assistant Systems (ADAS) and the introduction of Highly
Automated Driving (HAD), understanding and predicting road traffic accidents becomes …

Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators

M Borg, RB Abdessalem, S Nejati… - 2021 14th IEEE …, 2021 - ieeexplore.ieee.org
The increasing levels of software-and data-intensive driving automation call for an evolution
of automotive soft-ware testing. As a recommended practice of the Verification and …

Testing and validating high level components for automated driving: simulation framework for traffic scenarios

MR Zofka, S Klemm, F Kuhnt… - 2016 IEEE intelligent …, 2016 - ieeexplore.ieee.org
Current advances in the research field of autonomous driving demand advanced simulation
methods for testing and validation. By combining versatile foci of different simulations, we …