Advanced Driver Assistance Systems (ADAS) are becoming mandatory for novel vehicles in
many nations, as they are widely recognized as a key strategy to improve road safety. Due to …

To meet the challenges in software testing for automated vehicles, such as increasing
system complexity and an infinite number of operating scenarios, new simulation methods …

Co-simulation represents a state-of-the-art method for virtual integration and simulation of
automotive systems. Due to the needed number of simulation component models to …

Testing & validation of high-level autonomy features requires large amounts of test data,
which conventionally is achieved by accumulating miles on the road and dedicated proving …

Autonomous driving has immense potential to improve the safety of vehicles and
pedestrians. However, safety assurances for Autonomous Vehicles (AVs) are lacking under …

Vehicle and traffic simulation is a common practice for testing and evaluating advanced
driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature …

Recent technological progress in computational engineering and systems design will
enable the vision of autonomous driving coming true anytime soon. Functional but …

On the way towards autonomous driving, a steadily increasing number of Advanced Driver
Assistance Systems leads to a tremendous test effort to approve their safe operation …

Due to the sheer infinite number of test scenarios for test and validation of automated
driving, stand-alone on-road testing of these systems is not reasonable, calling for the …

Automotive industry is currently shifting from automated driving assistance systems to
conditionally automated vehicles. Traditional automotive component testing methodologies …