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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Research Interests

I'm interested in camera based 3D reconstructions of large scenes. Current work includes the usage of a handheld RGBD-Camera to scan rooms, next steps will be the usage of quadcopters to cover larger areas and scan full buildings.

My Master's Thesis is about using a Kinect-Projector System to project undistorted images on arbitrary surfaces.

Brief Bio

2005 - 2008 pre-Diploma (Vordiplom) in Physics (minor Computer Science) at the University of Freiburg
2008 - 2009 Bachelor in Computer Science (minor Physics) at the University of Freiburg
05.2009 - 06.2009 Internship at SICK AG, Waldkirch
09.2009 - 05.2010 Erasmus student at ETH Zurich
06.2010 - 12.2010 Six-month internship at Daimler AG, R&D Driving Assistance Systems, Ulm
08.2011 - 03.2012 Student Researcher at Autonomous Intelligent Systems Lab, Prof. Burgard
05.2012 - Master Thesis at TU Munich

Teaching Experience

- Tutor for several undergrad courses at the University of Freiburg

- Summer Semester 2012: Teaching Assistant for Lecture: Visual Navigation for Flying Robots

Prizes and Scholarships

since 2008: Scholarship from the Foundation of German Business (Stiftung der Deutschen Wirtschaft)

since 2009: Scholarship from the German National Academic Foundation (Studienstiftung des deutschen Volkes)

2011: Most-Useful-Award for a team entry to the ROS 3D Contest by Willow Garage

2012: Finalist (Top 10) in the Siemens Student Award Germany 2012

2012: Second Prize at Idea Challenge organized by the CDTM

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Journal Articles
[]Online-6D-SLAM für RGB-D-Sensoren (F. Endres, J. Hess, N. Engelhard, J. Sturm and W. Burgard), In at - Automatisierungstechnik, volume 60, 2012.  [bibtex] [pdf]
Conference and Workshop Papers
[]A Benchmark for the Evaluation of RGB-D SLAM Systems (J. Sturm, N. Engelhard, F. Endres, W. Burgard and D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction (D Joho, GD Tipaldi, N Engelhard, C Stachniss and W Burgard), In Proceedings of Robotics: Science and Systems, 2012.  [bibtex] [pdf]
[]An Evaluation of the RGB-D SLAM System (F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2012.  [bibtex] [pdf]
[]Towards a benchmark for RGB-D SLAM evaluation (J. Sturm, S. Magnenat, N. Engelhard, F. Pomerleau, F. Colas, W. Burgard, D. Cremers and R. Siegwart), In Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf. (RSS), 2011.  [bibtex] [pdf] [pdf]
[]Real-time 3D visual SLAM with a hand-held camera (N. Engelhard, F. Endres, J. Hess, J. Sturm and W. Burgard), In Proc. of the RGB-D Workshop on 3D Perception in Robotics at the European Robotics Forum, 2011.  [bibtex] [pdf]
[]A Bayesian Approach to Learning 3D Representations of Dynamic Environments (R. Kaestner, N. Engelhard, R. Triebel and R. Siegwart), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), Springer Press, 2010.  [bibtex] [pdf]
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.


Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream


4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.


Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream