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Nikolaus Demmel
PhD StudentTechnische Universität MünchenDepartment 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
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Visual-Inertial Mapping with Non-Linear Factor Recovery , In arXiv:1904.06504, 2019.
2018
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The Double Sphere Camera Model , In Proc. of the Int. Conference on 3D Vision (3DV), 2018. ([arxiv])
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Direct Sparse Odometry With Rolling Shutter , In European Conference on Computer Vision (ECCV), 2018. ([supplementary][arxiv])
Oral Presentation [] 
LDSO: Direct Sparse Odometry with Loop Closure , In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv][video][code][project])
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The TUM VI Benchmark for Evaluating Visual-Inertial Odometry , In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv])
2015
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Interactive Multi-label Segmentation of RGB-D Images , In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code])
2010
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Becoming action-aware through reasoning about logged plan execution traces , In International Conference on Intelligent Robots and Systems (IROS), 2010.
Other Publications
2014note=IDPProject
[] TotalVariationSegmentationIncorporatingDepthInformationmonth=Sept. , 2014note=idpproject.
Research
Check out the projects I'm involved in:
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
- 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.
Student Projects
Previously completed student projects include:
- Co-supervision (with Dr. Tao Wu, Emanuel Laude): Zhongnan Qu, "Efficient Optimization for Robust Bundle Adjustment", Master Thesis, March 2018. thesisslides
