Abstract Development cycles in Advanced Driver Assistance Systems (ADAS) and
Autonomous Driving (AD) technologies pose various challenges even at the development …

Abstract Automated Driving Systems (ADS) make the driving experience safer, more
efficient, and comfortable by performing complex maneuvers, preempting potential risky …

Advanced Driver Assistance Systems have been integrated in vehicles with the aim of
reducing traffic accidents caused by human error. Due to the safety-critical application of …

One remaining challenge for Automated Driving (AD) that remains unclear to this day is its
assessment for market release. The application of previous strategies derived from the V …

This paper presents a Model in the Loop (MiL) framework to validate embedded
autonomous driving (AD) and advanced driver assistant systems (ADAS) algorithms …

While there was great progress regarding the technology and its implementation for vehicles
equipped with automated driving systems (ADS), the problem of how to proof their safety as …

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 …

The number of advanced driver assistance systems has increased dramatically in recent
years. This led to a need for the development of testing methods to prove the quality and …

Recent developments in the testing and safety assurances of Automated Driving Systems
(ADSs) have shifted from a traditional distance-based approach (ie vehicle miles travelled) …

Autonomous vehicles are game-changers for the automotive industry. However, the
automated driving system (ADS) that controls them will be extremely complex, and verifying …