Computer vision describes the ability of machines to see the world as we humans do and to extract information from images. Particularly in the field of driver assistance systems great progress has been made in recent years. Fraunhofer IMS itself develops a variety of imaging sensors (e.g. CMOS image sensors, infrared camera chips (IRFPA) or single photon avalanche diodes (SPAD), e.g. for LiDAR applications), all of which require adapted image processing methodologies. The goal is to extract the maximum of available information in the most resource-efficient way. In particular modern machine learning methods are used for this purpose. The application areas range from ultra-fast person recognition and sophisticated motion analysis to the quantification of vital parameters.