During the Automotive Tech.AD 2018 we had a chat with Prof. Dr. Daniel Cremers, who holds various roles at the Technical University, Munich. Prof. Cremers gives us a better understanding of his roundtable discussion around the question “What are the most serious technical challenges in developing HAD?”. He addresses the many requirements on the way to autonomous cars. Cars need to understand what is happening around them. That requires to reconstruct the car’s surrounding in order to realize actions like path planning, decision making or obstacle avoidance. Moreover he speaks about the role of deep neural networks in future self-driving cars.
About Prof. Dr. Daniel Cremers
Since 2009 Daniel Cremers holds the chair for Computer Vision and Pattern Recognition at the Technical University, Munich. His publications received several awards, including the ‘Best Paper of the Year 2003’ (Int. Pattern Recognition Society), the ‘Olympus Award 2004’ (German Soc. for Pattern Recognition) and the ‘2005 UCLA Chancellor’s Award for Postdoctoral Research’. Professor Cremers has served as associate editor for several journals including the International Journal of Computer Vision, the IEEE Transactions on Pattern Analysis and Machine Intelligence and the SIAM Journal of Imaging Sciences. He has served as area chair (associate editor) for ICCV, ECCV, CVPR, ACCV, IROS, etc, and as program chair for ACCV 2014. He serves as general chair for the European Conference on Computer Vision 2018 in Munich. In December 2010 he was listed among “Germany’s top 40 researchers below 40” (Capital). On March 1st 2016, Prof. Cremers received the Leibniz Award 2016, the biggest award in German academia. He is Managing Director of the TUM Department of Informatics. According to Google Scholar, Prof. Cremers has an h-index of 71 and his papers have been cited 19173 times.