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 …

With the development of autonomous driving, offline testing remains an important process
allowing low-cost and efficient validation of vehicle performance and vehicle control …

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

With the increasing sophistication of vehicles, more and more (automated) driving functions
become available, some of which are based on Vehicle-to-Everything (V2X) communication …

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 …

Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

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 …

A number of simulation platforms allow the validation of advanced driver assistance systems
(ADAS) in virtual road environments. However, the development of virtual tests on top 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 …

Highly automated functions and components for vehicle guidance lead to increasing
demands while still expected high reliability and safety. The partners within Smart Load …