Direkt zum Inhalt springen
Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

Menu
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

Google Scholar Profile

Conference and Workshop Papers
2018
The Double Sphere Camera Model (V. Usenko, N. Demmel, D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2018.([arxiv]) [bib] [pdf]
Direct Sparse Odometry With Rolling Shutter (D. Schubert, N. Demmel, V. Usenko, J. Stueckler, D. Cremers), In European Conference on Computer Vision (ECCV), 2018.([supplementary][arxiv]) [bib] [pdf]Oral Presentation
LDSO: Direct Sparse Odometry with Loop Closure (X. Gao, R. Wang, N. Demmel, D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018.([arxiv][video][code][project]) [bib]
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry (D. Schubert, T. Goll, N. Demmel, V. Usenko, J. Stueckler, D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018.(accepted, to appear, [arxiv]) [bib]
2015
Interactive Multi-label Segmentation of RGB-D Images (J. Diebold, N. Demmel, C. Hazirbas, M. Möller, D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015.([code]) [bib] [pdf] [doi]
2010
Becoming action-aware through reasoning about logged plan execution traces (Lorenz Mösenlechner, Nikolaus Demmel, Michael Beetz), In International Conference on Intelligent Robots and Systems (IROS), 2010. [bib] [pdf]
Powered by bibtexbrowser
Export as PDF or BIB

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: Zhongnan Qu, “Efficient Optimization for Robust Bundle Adjustment”, Master Thesis, March 2018. thesisslides

Rechte Seite

Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de