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Jannik Steinbring
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Books and Theses
- 2018
- [b1]Jannik Steinbring:
Nonlinear State Estimation Using Optimal Gaussian Sampling with Applications to Tracking. Karlsruhe Institute of Technology, Germany, 2018
Journal Articles
- 2018
- [j1]Jindrich Duník
, Ondrej Straka, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck
:
Directional splitting of Gaussian density in non-linear random variable transformation. IET Signal Process. 12(9): 1073-1081 (2018)
Conference and Workshop Papers
- 2016
- [c13]Jannik Steinbring, Benjamin Noack, Marc Reinhardt, Uwe D. Hanebeck:
Optimal sample-based fusion for distributed state estimation. FUSION 2016: 1600-1607 - [c12]Christof Chlebek, Jannik Steinbring, Uwe D. Hanebeck:
Progressive Gaussian filter using importance sampling and particle flow. FUSION 2016: 2043-2049 - [c11]Jannik Steinbring, Antonio Zea, Uwe D. Hanebeck:
Semi-analytic progressive Gaussian filtering. MFI 2016: 570-575 - [c10]Jannik Steinbring, Christian Mandery, Florian Pfaff, Florian Faion, Tamim Asfour, Uwe D. Hanebeck:
Real-time whole-body human motion tracking based on unlabeled markers. MFI 2016: 583-590 - [c9]Antonio Zea, Florian Faion, Jannik Steinbring, Uwe D. Hanebeck:
Exploiting negative measurements for tracking star-convex extended objects. MFI 2016: 622-628 - [c8]Florian Faion, Antonio Zea, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck:
Camera- and IMU-based pose tracking for augmented reality. MFI 2016: 648-653 - 2015
- [c7]Jannik Steinbring, Uwe D. Hanebeck:
GPU-accelerated progressive Gaussian filtering with applications to extended object tracking. FUSION 2015: 1038-1045 - [c6]Jannik Steinbring, Marcus Baum
, Antonio Zea, Florian Faion, Uwe D. Hanebeck:
A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs. MFI 2015: 25-30 - [c5]Florian Faion, Antonio Zea, Jannik Steinbring, Marcus Baum
, Uwe D. Hanebeck:
Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves. SDF 2015: 1-6 - 2014
- [c4]Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl:
Deterministic Dirac mixture approximation of Gaussian mixtures. FUSION 2014: 1-7 - [c3]Jannik Steinbring, Uwe D. Hanebeck:
Progressive Gaussian filtering using explicit likelihoods. FUSION 2014: 1-8 - 2013
- [c2]Jannik Steinbring, Uwe D. Hanebeck:
S2KF: The Smart Sampling Kalman Filter. FUSION 2013: 2089-2096 - 2012
- [c1]Uwe D. Hanebeck, Jannik Steinbring:
Progressive Gaussian filtering based on Dirac Mixture approximations. FUSION 2012: 1697-1704
Informal and Other Publications
- 2015
- [i3]Jannik Steinbring, Martin Pander, Uwe D. Hanebeck:
The Smart Sampling Kalman Filter with Symmetric Samples. CoRR abs/1506.03254 (2015) - [i2]Jannik Steinbring, Christian Mandery, Nikolaus Vahrenkamp, Tamim Asfour, Uwe D. Hanebeck:
High-Accuracy Real-Time Whole-Body Human Motion Tracking Based on Constrained Nonlinear Kalman Filtering. CoRR abs/1511.04278 (2015) - 2012
- [i1]Uwe D. Hanebeck, Jannik Steinbring:
Progressive Gaussian Filtering. CoRR abs/1204.0133 (2012)
Coauthor Index
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