Technical University of Munich

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Conference and Workshop Papers
2019
[]		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]
Other Publications
2014note=IDPProject
[]		TotalVariationSegmentationIncorporatingDepthInformationmonth=Sept. (NikolausDemmel), 2014note=idpproject.  [bibtex]

Check out the projects I'm involved in:

• Basalt: Visual-Inertial Mapping with Non-Linear Factor Recovery
• TUMVI Dataset for Visual Inertial Odometry
• LDSO - Direct Sparse Odometry with Loop Closure
• Double Sphere Camera Model

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.

• WS19: Practical course Vision Based Navigation together with Dr. Vladyslav Usenko.
• SS19: Practical course Vision Based Navigation together with Dr. Vladyslav Usenko.
• WS18/19: Practical course Vision Based Navigation together with Dr. Vladyslav Usenko.
• SS18: Tutorial for Computer Vision II: Multiple View Geometry together with Marvin Eisenberger. Lecturer: Prof. Dr. Daniel Cremers.
• WS17/18: Tutorial for Computer Vision I: Variational Methods together with Christiane Sommer. Lecturer: Dr. Yvain Queau.

Previously completed student projects include:

• Co-supervision (with Prof. Dr. Jörg Stückler): Anton Troynikov, "Photometric Odometry for Dynamic Objects", Master Thesis, April 2019. thesis slides
• 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. thesisslides