A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

C Wang, Y Xie, H Huang, P Liu - Accident Analysis & Prevention, 2021 - Elsevier
Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …

The safety filter: A unified view of safety-critical control in autonomous systems

KC Hsu, H Hu, JF Fisac - Annual Review of Control, Robotics …, 2023 - annualreviews.org
Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …

Testing scenario library generation for connected and automated vehicles, part I: Methodology

S Feng, Y Feng, C Yu, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Testing and evaluation is a critical step in the development and deployment of connected
and automated vehicles (CAVs), and yet there is no systematic framework to generate …

Quality metrics and oracles for autonomous vehicles testing

G Jahangirova, A Stocco… - 2021 14th IEEE conference …, 2021 - ieeexplore.ieee.org
The race for deploying AI-enabled autonomous vehicles (AVs) on public roads is based on
the promise that such self-driving cars will be as safe as or safer than human drivers …

How can we know a self-driving car is safe?

J Stilgoe - Ethics and Information Technology, 2021 - Springer
Self-driving cars promise solutions to some of the hazards of human driving but there are
important questions about the safety of these new technologies. This paper takes a …

Maximum acceptable risk as criterion for decision-making in autonomous vehicle trajectory planning

M Geisslinger, R Trauth, G Kaljavesi… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Autonomous vehicles are being developed to make road traffic safer in the future. The time
when autonomous vehicles are actually safe enough to be used in real traffic is a current …

End-to-end autonomous driving risk analysis: A behavioural anomaly detection approach

C Ryan, F Murphy, M Mullins - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Autonomous vehicles (AV) have advanced considerably over the past decade and their
potential to reduce road accidents is without equal. That said, the evolution towards fully …

Autonomous vs. self-driving vehicles: the power of language to shape public perceptions

E Kassens-Noor, M Wilson, M Cai, N Durst… - Journal of Urban …, 2021 - Taylor & Francis
Public perception of the next generation of vehicles will affect their design, deployment, and
ultimately their use. As the engineering terms of self-driving, driverless, fully automated, and …

[HTML][HTML] Older drivers' experience with automated vehicle technology

S Classen, J Mason, SW Hwangbo, J Wersal… - Journal of Transport & …, 2021 - Elsevier
Abstract (236 words) Introduction Adults 65 years of age and older make up a fifth of the US
population, prefer driving as their primary mode of transportation, and may derive health and …

A literature review of performance metrics of automated driving systems for on-road vehicles

MN Sharath, B Mehran - Frontiers in Future Transportation, 2021 - frontiersin.org
The article presents a review of recent literature on the performance metrics of Automated
Driving Systems (ADS). More specifically, performance indicators of environment perception …