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 …

This study compares real-traffic deceleration and cut-in scenarios, which were established
as critical to automated vehicles (AVs) safety, between Japanese and German highway …

The ability of automated vehicles (AV) to avoid accidents in complex traffic environments is
the focus of considerable public attention. Intel has proposed a mathematical model called …

Real-time safety metrics are important for automated driving systems (ADS) to assess the
risk of driving situations and assist in decision-making. Although a number of real-time safety …

The utilization of high-risk test cases constitutes an effective approach to enhance the safety
testing of autonomous vehicles (AVs) and enhance their efficiency. This research paper …

Verification and validation of automated driving systems' safety are some of the biggest
challenges for the introduction of automated vehicles into the market. Scenario-based safety …

This research contextualizes within ongoing international efforts to harmonize a
standardized methodology to evaluate automated driving systems' safety. Most …

Safety guarantees are vital to the dependability of the automated vehicle (AV), so are of
primary concern to the AV industry and regulatory bodies. Responsibility-Sensitive Safety …

Motion prediction modules are crucial for autonomous vehicles to forecast the future
behavior of surrounding road users. Failures in prediction modules can mislead a …

With the increasing level of automation of autonomous vehicles, it is important to conduct
comprehensive and extensive testing before releasing autonomous vehicles into the market …