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

The way to autonomous driving is closely connected to the capability of verifying and
validating Advanced Driver Assistance Systems (ADAS), as it is one of the main challenges …

This paper presents a simulation-based testing and validation framework for ADAS
(Advanced Driver Assistant System) and AD (Autonomous Driving) technology development …

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

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 …

Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and
many researchers and developers in the field cannot afford a real car and the corresponding …

The current test of autonomous driving technology requires extensive experimental
verification, whether in simulation or on real roads. Netherthless, how to test autonomous …

This paper introduces a novel vehicle-in-the-loop testing methodology called “Hybrid
Testing”, which enables the evaluation of a real vehicle in a virtual traffic scenario in an …

Testing of autonomous vehicles involves enormous challenges for the automotive industry.
The number of real-world driving scenarios is extremely large, and choosing effective test …

Increasing the implemented SAE level of autonomy in road vehicles requires extensive
simulations and verifications in a realistic simulation environment before proving ground and …