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 …

Testing, validation, and verification of robotic and autonomous systems: a systematic review

H Araujo, MR Mousavi, M Varshosaz - ACM Transactions on Software …, 2023 - dl.acm.org
We perform a systematic literature review on testing, validation, and verification of robotic
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …

Certified defenses against adversarial examples

A Raghunathan, J Steinhardt, P Liang - arXiv preprint arXiv:1801.09344, 2018 - arxiv.org
While neural networks have achieved high accuracy on standard image classification
benchmarks, their accuracy drops to nearly zero in the presence of small adversarial …

Scalable end-to-end autonomous vehicle testing via rare-event simulation

M O'Kelly, A Sinha, H Namkoong… - Advances in neural …, 2018 - proceedings.neurips.cc
While recent developments in autonomous vehicle (AV) technology highlight substantial
progress, we lack tools for rigorous and scalable testing. Real-world testing, the de facto …

Automatic generation of safety-critical test scenarios for collision avoidance of road vehicles

M Althoff, S Lutz - 2018 IEEE Intelligent Vehicles Symposium …, 2018 - ieeexplore.ieee.org
It is apparent that one cannot rely solely on physical test drives for ensuring the correct
functionality of autonomous vehicles. Since physical test drives are costly and time …

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 …

Efficient black-box assessment of autonomous vehicle safety

J Norden, M O'Kelly, A Sinha - arXiv preprint arXiv:1912.03618, 2019 - arxiv.org
While autonomous vehicle (AV) technology has shown substantial progress, we still lack
tools for rigorous and scalable testing. Real-world testing, the $\textit {de-facto} $ evaluation …

Rosch: real-time scheduling framework for ros

Y Saito, F Sato, T Azumi, S Kato… - 2018 IEEE 24th …, 2018 - ieeexplore.ieee.org
This paper presents a real-time scheduling framework for the robot operating system (ROS)
called ROSCH. ROS is an open-source software platform and a meta-operating system …

ARMET: Behavior-based secure and resilient industrial control systems

MT Khan, D Serpanos, H Shrobe - Proceedings of the IEEE, 2017 - ieeexplore.ieee.org
In this paper, we introduce a design methodology to develop reliable and secure industrial
control systems (ICSs) based on the behavior of their computational resources (ie …

Computer-aided design for safe autonomous vehicles

M O'Kelly, H Abbas… - 2017 Resilience Week …, 2017 - ieeexplore.ieee.org
This paper details the design of an autonomous vehicle CAD toolchain, which captures
formal descriptions of driving scenarios in order to develop a safety case for an autonomous …