Nikolaus Demmel
Nikolaus Demmel
PhD Student, Computer Vision Group, TUM
Verified email at in.tum.de - Homepage
Title
Cited by
Cited by
Year
LDSO: Direct sparse odometry with loop closure
X Gao, R Wang, N Demmel, D Cremers
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
802018
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
D Schubert, T Goll, N Demmel, V Usenko, J Stückler, D Cremers
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
742018
Visual-inertial mapping with non-linear factor recovery
V Usenko, N Demmel, D Schubert, J Stückler, D Cremers
IEEE Robotics and Automation Letters 5 (2), 422-429, 2019
202019
Becoming action-aware through reasoning about logged plan execution traces
L Mösenlechner, N Demmel, M Beetz
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
192010
Direct Sparse Odometry with Rolling Shutter
D Schubert, N Demmel, V Usenko, J Stuckler, D Cremers
Proceedings of the European Conference on Computer Vision (ECCV), 682-697, 2018
132018
Interactive multi-label segmentation of RGB-D images
J Diebold, N Demmel, C Hazırbaş, M Moeller, D Cremers
International Conference on Scale Space and Variational Methods in Computer …, 2015
122015
The Double Sphere Camera Model
V Usenko, N Demmel, D Cremers
2018 International Conference on 3D Vision (3DV), 552-560, 2018
92018
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
C Sommer, V Usenko, D Schubert, N Demmel, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
32020
Rolling-Shutter Modelling for Direct Visual-Inertial Odometry
D Schubert, N Demmel, L von Stumberg, V Usenko, D Cremers
arXiv preprint arXiv:1911.01015, 2019
22019
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Articles 1–9