Sooner than expected, roads will be populated with a plethora of connected and
autonomous vehicles serving diverse mobility needs. Rather than being stand-alone …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

Virtual testing plays a vital role in developing connected and automated vehicles. To ensure
the safety of CAV, millions of miles of testing are required. The scenario library defines the …

This survey aims to provide an overview of various methods for generating data-driven test
scenarios for assessing automated driving systems (ADSs). The survey updates the overall …

We propose a benchmark for the verification of autonomous vehicles. By considering
different traffic scenarios from the CommonRoad database, we obtain several thousands of …

Scenario-based testing will help to validate automated driving systems (ADS) and establish
safer road traffic. To date, most data-driven test scenario generation methods rely primarily …

The field of Autonomous Driving (AD) has witnessed significant progress in recent years.
Among the various challenges faced, the safety evaluation of autonomous vehicles (AVs) …

The paper compares and evaluates three different HMIs (Human Machine Interface) for an
ADAS (Advanced Driver Assistance System) supporting cooperative interactions between …

Cycling safety management is particularly important due to the increasing use of this mode
of transport and increasing car traffic flows. Cyclists—travelling on roadways or sharing the …