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 …

Dynamic exploration of multi-agent systems with periodic timed tasks

J Arcile, R Devillers, H Klaudel - Fundamenta Informaticae, 2020 - content.iospress.com
We formalise and study multi-agent timed models MAPTs (Multi-Agent with Periodic timed
Tasks), where each agent is associated with a regular timed schema upon which all …

Models for the dynamic exploration of the state spaces of autonomous vehicles.

J Arcile, R Devillers, H Klaudel - … Workshop on Petri Nets and Software …, 2020 - hal.science
We present multi-agent timed models, called MAPTs, where each agent is associated with a
regular timed schema upon which all possible actions of the agent rely. MAPTs allow for a …

[图书][B] Safety-critical machine learning: development and testing

A Sinha - 2020 - search.proquest.com
As machine-learning systems begin deployment in safety-critical domains such as medical
imaging and autonomous driving, model failure is increasingly costly. In such applications, it …

Towards formalization of wireless vehicular networking

R Kaur, J Kim, O Sokolsky, S Sarkar… - 2020 IEEE Workshop …, 2020 - ieeexplore.ieee.org
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies (together, V2X) will
enable vehicles, ranging from cars to trucks to buses to pedestrians to wirelessly exchange …

Evaluating a Specification for its Support of Mode Awareness using Discrete and Continuous Model Checking

A Byrnes, C Sturton - 2020 IEEE 23rd International Conference …, 2020 - ieeexplore.ieee.org
In situations where humans and computers cooperate, mode confusion on the part of the
human can be dangerous. We present a methodology to evaluate a semi-autonomous …