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Home Members Nikolaus Demmel

Nikolaus Demmel

PhD StudentTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany

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

Publications

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Conference and Workshop Papers
2019
[]Efficient Derivative Computation for Cumulative B-Splines on Lie Groups (C. Sommer, V. Usenko, D. Schubert, N. Demmel and D. Cremers), In arXiv:1911.08860, 2019.  [bibtex] [arXiv:1911.08860] [pdf]
[]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]
[]Visual-Inertial Mapping with Non-Linear Factor Recovery (V. Usenko, N. Demmel, D. Schubert, J. Stueckler and D. Cremers), In arXiv:1904.06504, 2019.  [bibtex] [arXiv:1904.06504] [pdf]
2018
[]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]
2015
[]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]
2010
[]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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Research

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, please feel free to contact me or drop by my office. Depending on the research project, a background in C++ and Computer Vision is usually required.

Courses

Student Projects

Previously completed student projects include:

  • 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

info@vision.in.tum.de