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Jannik Steinbring
Jannik Steinbring
Verified email at kit.edu
Title
Cited by
Cited by
Year
S2KF: The Smart Sampling Kalman Filter
J Steinbring, UD Hanebeck
Proceedings of the 16th International Conference on Information Fusion, 2089 …, 2013
592013
Progressive Gaussian filtering using explicit likelihoods
J Steinbring, UD Hanebeck
17th International Conference on Information Fusion (FUSION), 1-8, 2014
552014
LRKF revisited: The smart sampling Kalman filter (S2KF)
J Steinbring, UD Hanebeck
Journal of Advances in Information Fusion 9 (2), 106-123, 2014
432014
Optimal sample-based fusion for distributed state estimation
J Steinbring, B Noack, M Reinhardt, UD Hanebeck
2016 19th International Conference on Information Fusion (FUSION), 1600-1607, 2016
272016
The Smart Sampling Kalman Filter with Symmetric Samples
J Steinbring, M Pander, UD Hanebeck
Journal of Advances in Information Fusion 11 (1), 71-90, 2016
272016
The Smart Sampling Kalman Filter with Symmetric Samples
J Steinbring, M Pander, UD Hanebeck
arXiv preprint arXiv:1506.03254, 2015
272015
A closed-form likelihood for particle filters to track extended objects with star-convex RHMs
J Steinbring, M Baum, A Zea, F Faion, UD Hanebeck
2015 IEEE International Conference on Multisensor Fusion and Integration for …, 2015
232015
Progressive gaussian filtering based on dirac mixture approximations
UD Hanebeck, J Steinbring
2012 15th International Conference on Information Fusion, 1697-1704, 2012
172012
Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves
F Faion, A Zea, J Steinbring, M Baum, UD Hanebeck
2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2015
142015
GPU-accelerated progressive Gaussian filtering with applications to extended object tracking
J Steinbring, UD Hanebeck
2015 18th International Conference on Information Fusion (Fusion), 1038-1045, 2015
132015
Real-time whole-body human motion tracking based on unlabeled markers
J Steinbring, C Mandery, F Pfaff, F Faion, T Asfour, UD Hanebeck
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
102016
Camera-and IMU-based pose tracking for augmented reality
F Faion, A Zea, B Noack, J Steinbring, UD Hanebeck
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
92016
High-accuracy real-time whole-body human motion tracking based on constrained nonlinear kalman filtering
J Steinbring, C Mandery, N Vahrenkamp, T Asfour, UD Hanebeck
arXiv preprint arXiv:1511.04278, 2015
82015
Deterministic Dirac mixture approximation of Gaussian mixtures
I Gilitschenski, J Steinbring, UD Hanebeck, M Simandl
17th International Conference on Information Fusion (FUSION), 1-7, 2014
82014
Progressive Gaussian filter using importance sampling and particle flow
C Chlebek, J Steinbring, UD Hanebeck
2016 19th International Conference on Information Fusion (FUSION), 2043-2049, 2016
62016
Semi-analytic progressive Gaussian filtering
J Steinbring, A Zea, UD Hanebeck
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
52016
Progressive Gaussian Filtering
UD Hanebeck, J Steinbring
arXiv preprint arXiv:1204.0133, 2012
52012
Exploiting negative measurements for tracking star-convex extended objects
A Zea, F Faion, J Steinbring, UD Hanebeck
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
32016
Distributed Estimation with Unequal State Vectors using Deterministic Sample-based Fusion (to appear)
S Radtke, B Noack, UD Hanebeck, K Li, D Frisch, B Noack, UD Hanebeck, ...
Proceedings of the 2019 European Control Conference (ECC 2019), Naples, Italy, 2019
22019
Directional splitting of Gaussian density in non‐linear random variable transformation
J Duník, O Straka, B Noack, J Steinbring, UD Hanebeck
IET Signal Processing 12 (9), 1073-1081, 2018
22018
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Articles 1–20