In the era of Artificial Intelligence (AI), autonomous vehicles are increasingly taking space in
everyday life. From autonomous cars to delivery drones, Cyber Physical Systems (CPS) are …

ISO/DIS 26262, an automotive functional safety standard, provides stringent requirements
and processes for a'safety-oriented'software lifecycle and in particular on the verification and …

Simulation, a common practice to evaluate au-tonomous vehicles, requires to specify
realistic scenarios, in par-ticular critical ones, occurring rarely and potentially dangerous to …

Technologies in the field of artificial intelligence (AI) are increasingly used in a wide variety
of industries. However, in addition to their considerable potential, it is important to note that …

The validation of artificial intelligence (AI) controlled vehicles is a vexing challenge. Black
box testing of decision making in these vehicles has been used to abstract out the inner …

Given the safety-critical functions of autonomous cyber-physical systems (CPS) across
diverse domains, testing these systems is essential. While conventional software and …

The MUSICC project has created a proof-of-concept scenario database to be used as part of
a type approval process for the verification of automated driving systems (ADS). This …

Behavior prediction remains one of the most challenging tasks in the autonomous vehicle
(AV) software stack. Forecasting the future trajectories of nearby agents plays a critical role …

We present a new approach to automated scenario-based testing of the safety of
autonomous vehicles, especially those using advanced artificial intelligence-based …

Black box testing can employ randomness for generating test sequences. Often, even a
large number of test sequences may sample a minuscule portion of the overall behaviors …