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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Home Members Nikolaus Demmel

Nikolaus Demmel

PhD StudentTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching

Tel: +49-89-289-17781
Fax: +49-89-289-17757
Office: 02.09.057
Mail: demmeln@in.tum.de


Google Scholar Profile

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Journal Articles
[]Visual-Inertial Mapping with Non-Linear Factor Recovery (V. Usenko, N. Demmel, D. Schubert, J. Stueckler and D. Cremers), In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA), IEEE, volume 5, 2020. ([arxiv]) [bibtex] [doi] [pdf]
Conference and Workshop Papers
[]Efficient Derivative Computation for Cumulative B-Splines on Lie Groups (C. Sommer, V. Usenko, D. Schubert, N. Demmel and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [arXiv:1911.08860] [pdf]Oral Presentation
[]Rolling-Shutter Modelling for Visual-Inertial Odometry (D. Schubert, N. Demmel, L. von Stumberg, V. Usenko and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2019. ([arxiv]) [bibtex] [pdf]
[]The Double Sphere Camera Model (V. Usenko, N. Demmel and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2018. ([arxiv]) [bibtex] [arXiv:1807.08957] [pdf]
[]Direct Sparse Odometry With Rolling Shutter (D. Schubert, N. Demmel, V. Usenko, J. Stueckler and D. Cremers), In European Conference on Computer Vision (ECCV), 2018. ([supplementary][arxiv]) [bibtex] [pdf]Oral Presentation
[]LDSO: Direct Sparse Odometry with Loop Closure (X. Gao, R. Wang, N. Demmel and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv][video][code][project]) [bibtex]
[]The TUM VI Benchmark for Evaluating Visual-Inertial Odometry (D. Schubert, T. Goll, N. Demmel, V. Usenko, J. Stueckler and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv]) [bibtex] [pdf]
[]Interactive Multi-label Segmentation of RGB-D Images (J. Diebold, N. Demmel, C. Hazirbas, M. Möller and D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code]) [bibtex] [doi] [pdf]
[]Becoming action-aware through reasoning about logged plan execution traces (Mösenlechner, Lorenz, Demmel, Nikolaus and Beetz, Michael), In International Conference on Intelligent Robots and Systems (IROS), 2010.  [bibtex] [pdf]
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Bachelor Theses / Master Theses / IDP / Guided Research

If you are interested in doing a Bachelor Thesis, Master Thesis, Interdisciplinary Project (IDP) or Guided Research in the field of SLAM, Visual Odometry, 3D Reconstruction, or Sensor fusion, feel free to contact me via email. Please include your recent transcript and a brief CV, so I know a bit about your background and courses taken. Depending on the research project, some experience with C++ and Computer Vision is usually required.


Student Projects

Previously completed student projects include:

  • Co-supervision (with Dr. Vladyslav Usenko): Tim Stricker, "Efficient Techniques for Accurate Visual Place Recognition", Master Thesis, June 2020. thesis slides
  • Supervision: Simon Klenk, "Photometric Bundle Adjustment for Globally Consistent Mapping", Master Thesis, June 2020. thesis slides
  • Co-supervision (with Dr. Vladyslav Usenko): Pak Hong Chui, "Visual-Inertial Simultaneous Localization and Mapping with Multiple Cameras", Master Thesis, April 2020. thesis slides
  • Co-supervision (with Emanuel Laude): Florian Hofherr, "Joint Optimization of Pose And Depth Using a Prox-Linear Approach", Master Thesis, December 2019. thesis slides
  • Co-supervision (with Jens Harnisch, Infineon Technologies AG): Abdul Hannan Khan, "Face Recognition with a 3D Camera On an Embedded Processor", Master Thesis, November 2019. thesis slides
  • Supervision (with Tim Mehling): Pablo Rodríguez Palafox, "Local Tracking and Mapping for Direct Visual SLAM", Master Thesis, October 2019. thesis slides
  • Co-supervision (with Dr. Ulrich Klank, Magazino GmbH): Kanstantsin Tkachuk, "3D Scene Reconstruction for 2D Object Recognition", Bachelor Thesis, September 2019. thesis slides
  • Co-supervision (with Prof. Dr. Jörg Stückler): Anton Troynikov, "Photometric Odometry for Dynamic Objects", Master Thesis, April 2019. thesis slides Blog
  • Supervision: Maurice Hermwille, "Vignette Calibration for Fisheye Lenses", Master Thesis, September 2018. thesis slides
  • Co-Supervision (with Dr. Tao Wu, Emanuel Laude): Zhongnan Qu, "Efficient Optimization for Robust Bundle Adjustment", Master Thesis, March 2018. thesis slides

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching