| S2KF: The Smart Sampling Kalman Filter J Steinbring, UD Hanebeck Proceedings of the 16th International Conference on Information Fusion, 2089 …, 2013 | 72 | 2013 |
| Progressive Gaussian filtering using explicit likelihoods J Steinbring, UD Hanebeck 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 60 | 2014 |
| LRKF revisited: The smart sampling Kalman filter (S2KF) J Steinbring, UD Hanebeck Journal of Advances in Information Fusion 9 (2), 106-123, 2014 | 52 | 2014 |
| 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 | 32 | 2016 |
| The Smart Sampling Kalman Filter with Symmetric Samples J Steinbring, M Pander, UD Hanebeck arXiv preprint arXiv:1506.03254, 2015 | 32 | 2015 |
| 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 | 28 | 2016 |
| 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 | 28 | 2015 |
| Progressive gaussian filtering based on dirac mixture approximations UD Hanebeck, J Steinbring 2012 15th International Conference on Information Fusion, 1697-1704, 2012 | 18 | 2012 |
| 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 | 17 | 2015 |
| 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 | 13 | 2015 |
| 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 | 12 | 2016 |
| 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 | 10 | 2014 |
| 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 | 9 | 2015 |
| 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 | 8 | 2016 |
| Semi-analytic progressive Gaussian filtering J Steinbring, A Zea, UD Hanebeck 2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016 | 6 | 2016 |
| 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 | 6 | 2016 |
| 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 | 5 | 2018 |
| Progressive Gaussian Filtering UD Hanebeck, J Steinbring arXiv preprint arXiv:1204.0133, 2012 | 5 | 2012 |
| 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 | 4 | 2016 |
| 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 | 2 | 2019 |
