The absence of the human fallback level in Automated Driving Systems (ADS) results in a
tremendous increase in system complexity and required reliability. Due to the number of …

The main idea of the present work is to define the domain in which it is possible to adopt
very simple models of vehicle dynamics for applications in the testing of Advanced Driver …

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

This paper presents an autonomous driving test held in Parma on urban roads and freeways
open to regular traffic. During this test, the vehicle not only performed simple maneuvers, but …

This article presents a small-scale testbed for automated driving. The main benefits of small-
scale testing are safety, affordable hardware, and independence of traffic regulations and …

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 …

Advanced driver assistance systems (ADAS) are becoming increasingly important for today's
commercial vehicles. It is therefore crucial that different ADAS functionalities interact …

The rapidly growing software content within the vehicles continue to make automotive
systems more intelligent through the addition of software enabled electronics. A plethora of …

This paper presents a X-in-the-loop (where X: Model, Software, Hardware, Driver/Human,
etc.) driving simulation platform, developed at Siemens PLM Software, that facilitates the …

This thesis presents new tools and methods for the design and validation of advanced driver
assistance systems (ADASs). ADASs aim to improve driving comfort and traffic safety by …