Daniel Cremers

Daniel Cremers received Bachelor degrees in Mathematics (1994) and Physics (1994), and a Master's degree in Theoretical Physics (1997) from the University of Heidelberg. In 2002 he obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the University of Bonn, Germany. Since 2009 he 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 is 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. He serves as program chair for ACCV 2014. In 2009, he received an ERC Starting Grant. In December 2010 he was listed among “Germany's top 40 researchers below 40” (Capital). Prof. Cremers is Managing Director of the Department of Computer Science.
More info: http://vision.in.tum.de/members/cremers

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Autonomous Navigation for Flying Robots (edX) EdX
Technische Universität München - TUM,TUMx

Autonomous Navigation for Flying Robots (edX)

Embark on a journey into the world of autonomous flying robots with our comprehensive course. Dive deep into understanding sensor-based positioning, trajectory planning, and execution. Perfect for beginners and experts alike, this course will equip you with the skills needed to program your quadrotors for efficient navigation.

No sessions available
5-12 Weeks
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