Unserem Prof. Alexander Braun im Fachbereich Elektro- und Infomationstechnik ist mit der Berücksichtigung in Electro Optics' Liste der Photonik Forschungs Champions mit seinem Hauptforschungsthema, der Verknüpfung der optischen Qualität eines tatsächlichen, in Massenproduktion hergestellten Objektivs mit der Leistung nachgeschalteter Algorithmen für Computer Vision und maschinellem Lernen, im Schwerpunkt Automobilanwendungen eine besondere Ehre zu Teil geworden.
The industry's most innovative people
Determining which elements of optical or image quality used in autonomous driving are actually relevant for its AI-based perception and decision-making software are both an opportunity and challenge in the coming year, believes Alexander Braun.
This is especially true in the case of automotive mass production. Braun said: 'We don’t need a good MTF end-of-line, we need a good traffic sign detection and recognition in the field, and that for one million camera systems per year.'
The challenge, he believes, comes in linking and correlating those optical features to the actual AI performance, which requires physical- realistic simulation of environmental influences on image quality, such as from temperature, dirt and rain.
Braun believes that photonics is underrated in the public perception: 'The industry is (and has been) desperately looking for talent, but unfortunately there is a huge gap between what young people find attractive and start studying, and what the industry would like as a optical skill-set.'
