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 …

Considering the recent advances in autonomous driving technology, conventional on-road
based testing tools cannot meet the validation requirements with respect to time and cost …

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

Connected and autonomous/automated vehicle (CAV) technologies are shaping the design
and the new developments in the automotive industry and, in a wider perspective, in the …

Continuous development of software functions using software-in-the-loop (SiL) simulations
up to their virtual validation or virtual release are key enablers for new technologies of …

Testing self-driving vehicles is still a new and immature process; the globally harmonised
procedure expected much later. The resource-demanding nature of real-world tests makes it …

Autonomous Vehicles (AVs) are currently being tested on both proving grounds and public
roads. This includes the testing of partially, highly, and fully automated vehicles. Considering …

The introduction of Vehicle-to-Everything (V2X) communication has enormously extended
the spectrum of Advanced Driver Assistance Systems (ADAS) in the past years. This …

Automotive cyber-physical systems are constantly increasing in complexity, especially due
to innovations like sophisticated advanced driver assistance features. The increase in …

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