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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

Home Members Nikolas Engelhard

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

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

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