Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

Autonomous driving has attracted considerable attention from research and industry
communities. Although prototypes of automated vehicles (AVs) are developed, remaining …

The development of safety validation methods is essential for the safe deployment and
operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to …

Self evolution refers to the ability of a system to evolve autonomously towards a better
performance, which is a potential trend for autonomous driving systems based on self …

This study aims to generate test cases for scenario-based assessment of automated driving
systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed …

In modern vehicles, system complexity and technical capabilities are constantly growing. As
a result, manufacturers and regulators are both increasingly challenged to ensure the …

In the past decade, automotive companies have invested significantly in autonomous
vehicles (AV), but achieving widespread deployment remains a challenge in part due to the …

Abstract Surrogate Safety Measures (SSMs) are used to express road safety in terms of the
safety risk in traffic conflicts. Typically, SSMs rely on assumptions regarding the future …

Testing and evaluation are critical steps in the development and deployment of autonomous
vehicles (AVs). This paper aims to provide an online adaptive generation framework for …

Safety-critical scenarios for autonomous vehicle testing have been rare in the real world.
However, virtual simulation technology can provide numerous and diverse testing scenarios …