Jannik Steinbring

LRKF Revisited: The Smart Sampling Kalman Filter (S2KF)

U. Hanebeck, Jannik Steinbring, 2015 .

Exploiting negative measurements for tracking star-convex extended objects

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Nonlinear State Estimation Using Optimal Gaussian Sampling with Applications to Tracking

Jannik Steinbring, Jannik Steinbring, 2018 .

GPU-accelerated progressive Gaussian filtering with applications to extended object tracking

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2015, 2015 18th International Conference on Information Fusion (Fusion).

S2KF: The Smart Sampling Kalman Filter

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2013, Proceedings of the 16th International Conference on Information Fusion.

Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Directional splitting of Gaussian density in non-linear random variable transformation

Ondrej Straka, Uwe D. Hanebeck, Jannik Steinbring, 2018, IET Signal Process..

Progressive Gaussian filtering using explicit likelihoods

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2014, 17th International Conference on Information Fusion (FUSION).

The Smart Sampling Kalman Filter with Symmetric Samples pdf

Uwe D. Hanebeck, Jannik Steinbring, Martin Pander, 2015, ArXiv.

Optimal sample-based fusion for distributed state estimation

Uwe D. Hanebeck, Jannik Steinbring, Benjamin Noack, 2016, 2016 19th International Conference on Information Fusion (FUSION).