The Laboratory of Adaptive Lighting Systems and Visual Processing (ALSVV) is working on new lighting assistance systems and light distributions to support drivers at night and increase road safety. To be able to adaptively control lighting in road traffic in the future with the aid of a camera system and in conjunction with a pixel headlight, a controller is needed that optimally controls the pixel headlights. To optimally control the brightness in front of the vehicle, the target value must be known.

Extensive measurement data was collected at the August Euler Airport. Greycards were placed as critical objects and black-clad mannequins were placed on a dimmable test road. Subsequently, luminance recordings were made at different street lighting and headlight intensities.

As part of this work, the luminance images are to be analysed using common visibility metrics (e.g. Weber contrast, visibility level). The aim is to divide the light distribution of the headlight into segments so that each greycard has optimal visibility. Differentz segment layouts should be created, tested and compared with each other.