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The protection of pedestrians from injuries by accidental collision is a primary focus of the automotive industry and of government legislation [1]. In this area, scientists and developers are faced with a multitude of requirements. Complex scenes are to be analyzed. The wide spectrum of where pedestrians and cyclists appear on the road, weather, and light conditions are just examples. Data fusion of raw or preprocessed signals for several sensors (cameras, radar, lidar, ultrasonic) need to be considered as well. Accordingly, algorithms are very complex. When moving from prototypic environments to embedded systems, additional constraints must be considered. Limited system resources drive the need to simplify and optimize for technical and economic reasons. With all these constraints, how can the safety functions be safe-guarded? This submission considers scene-based methods for the development of vehicle functions from prototype to series production focusing on functional safety.

The increasing complexity of automotive design includes elementary aspects such as lighting. In order to validate modern light systems, new approaches must be developed. Innovative solutions are provided with an indoor lighting facility which performs tests under ideal and repeatable environmental conditions, as well as a ground-breaking approach in evaluating the static and dynamic aspects of lighting. This combination enables the simulation of traffic scenarios and the stimulation of lighting assistance systems.