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 …

Finding critical scenarios for automated driving systems: A systematic map** study

X Zhang, J Tao, K Tan, M Törngren… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …

Criticality metrics for automated driving: A review and suitability analysis of the state of the art

L Westhofen, C Neurohr, T Koopmann, M Butz… - … Methods in Engineering, 2023 - Springer
The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

[HTML][HTML] Systems approach to creating test scenarios for automated driving systems

S Khastgir, S Brewerton, J Thomas… - Reliability engineering & …, 2021 - Elsevier
Increased safety has been advocated as one of the major benefits of the introduction of
Automated Driving Systems (ADSs). Incorporation of ADSs in vehicles means that …

Software verification and validation of safe autonomous cars: A systematic literature review

N Rajabli, F Flammini, R Nardone, V Vittorini - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

A survey on scenario-based testing for automated driving systems in high-fidelity simulation

Z Zhong, Y Tang, Y Zhou, VO Neves, Y Liu… - arxiv preprint arxiv …, 2021 - arxiv.org
Automated Driving Systems (ADSs) have seen rapid progress in recent years. To ensure the
safety and reliability of these systems, extensive testings are being conducted before their …

Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey

J Perez-Cerrolaza, J Abella, M Borg, C Donzella… - ACM Computing …, 2024 - dl.acm.org
Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

Finding critical scenarios for automated driving systems: A systematic literature review

X Zhang, J Tao, K Tan, M Törngren… - arxiv preprint arxiv …, 2021 - arxiv.org
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …

A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles

F Fakhrmoosavi, E Kamjoo, M Kavianipour… - … research part C …, 2022 - Elsevier
Connected and autonomous vehicle technologies are expected to alter transportation
systems by enhancements in mobility, safety, and emission reduction. While many studies …

Bayesian optimization in high-dimensional spaces: A brief survey

M Malu, G Dasarathy, A Spanias - 2021 12th International …, 2021 - ieeexplore.ieee.org
Bayesian optimization (BO) has been widely applied to several modern science and
engineering applications such as machine learning, neural networks, robotics, aerospace …