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>Daniel Cremers
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About The Speaker

Daniel Cremers

Direct Visual SLAM for Autonomous Systems - The reconstruction of the 3D world from moving cameras has seen enormous progress over the last couple of years. Already in the 2000s, researchers have pioneered algorithms which can reconstruct camera motion and sparse feature-points in real-time. In my talk, I will introduce direct methods for camera tracking and 3D reconstruction which do not require feature point estimation, which exploits all available input data and which recover dense or semi-dense geometry rather than sparse point clouds. Experimental results confirm that the direct approaches lead to a drastic boost in precision and robustness. I will present recent developments on Simultaneous Localization and Mapping (SLAM) using monocular and stereo cameras, inertial sensors and deep neural networks with applications to autonomous systems.

Direct Visual SLAM for Autonomous Systems

The reconstruction of the 3D world from moving cameras has seen enormous progress over the last couple of years. Already in the 2000s, researchers have pioneered algorithms which can reconstruct camera motion and sparse feature-points in real-time. In my talk, I will introduce direct methods for camera tracking and 3D reconstruction which do not require feature point estimation, which exploits all available input data and which recover dense or semi-dense geometry rather than sparse point clouds. Experimental results confirm that the direct approaches lead to a drastic boost in precision and robustness. I will present recent developments on Simultaneous Localization and Mapping (SLAM) using monocular and stereo cameras, inertial sensors and deep neural networks with applications to autonomous systems.

 

Daniel Cremers received a PhD in Computer Science (2002) 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 of Computer Vision and Artificial Intelligence at the Technical University of 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’. For pioneering research he received a Starting Grant (2009), two Proof of Concept Grants (2014, 2019) and a Consolidator Grant (2015) by the European Research Council. 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.  In 2018 he organized the largest ever European Conference on Computer Vision in Munich with 3300 delegates. He is member of the Bavarian Academy of Sciences and Humanities. He is honorary member of the Dagstuhl Scientific Directorate. In December 2010 he was listed among “Germany’s top 40 researchers below 40” (Capital). On March 1st 2016, Prof. Cremers received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia. According to Google Scholar, Prof. Cremers has an h-index of 87 and his papers have been cited over 33000 times. According to Guide2Research he is among the most influential scientists in Germany. He is co-founder of several companies, most recently the high-tech startup Artisense.