The labeled multi-Bernoulli filter S Reuter, BT Vo, BN Vo, K Dietmayer IEEE Transactions on Signal Processing 62 (12), 3246-3260, 2014 | 802 | 2014 |
Extended object tracking: Introduction, overview and applications K Granstrom, M Baum, S Reuter arXiv preprint arXiv:1604.00970, 2016 | 483 | 2016 |
Multiple extended target tracking with labeled random finite sets M Beard, S Reuter, K Granström, BT Vo, BN Vo, A Scheel IEEE Transactions on Signal Processing 64 (7), 1638-1653, 2015 | 258 | 2015 |
A random finite set approach for dynamic occupancy grid maps with real-time application D Nuss, S Reuter, M Thom, T Yuan, G Krehl, M Maile, A Gern, ... The International Journal of Robotics Research 37 (8), 841-866, 2018 | 157 | 2018 |
Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach F Kunz, D Nuss, J Wiest, H Deusch, S Reuter, F Gritschneder, A Scheel, ... 2015 IEEE intelligent vehicles symposium (IV), 666-673, 2015 | 142 | 2015 |
The labeled multi-Bernoulli SLAM filter H Deusch, S Reuter, K Dietmayer IEEE Signal Processing Letters 22 (10), 1561-1565, 2015 | 107 | 2015 |
A multiple model PHD approach to tracking of cars under an assumed rectangular shape K Granström, S Reuter, D Meissner, A Scheel 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 107 | 2014 |
Multiple extended object tracking using Gaussian processes T Hirscher, A Scheel, S Reuter, K Dietmayer 2016 19th International Conference on Information Fusion (FUSION), 868-875, 2016 | 101 | 2016 |
A random finite set approach to multiple lane detection H Deusch, J Wiest, S Reuter, M Szczot, M Konrad, K Dietmayer 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 91 | 2012 |
Fusion of laser and radar sensor data with a sequential Monte Carlo Bayesian occupancy filter D Nuss, T Yuan, G Krehl, M Stuebler, S Reuter, K Dietmayer 2015 IEEE intelligent vehicles symposium (IV), 1074-1081, 2015 | 79 | 2015 |
Likelihood-based data association for extended object tracking using sampling methods K Granström, L Svensson, S Reuter, Y Xia, M Fatemi IEEE Transactions on intelligent vehicles 3 (1), 30-45, 2017 | 77 | 2017 |
Multi-object tracking using random finite sets S Reuter Universität Ulm, 2014 | 62 | 2014 |
Pedestrian tracking using random finite sets S Reuter, K Dietmayer 14th International Conference on Information Fusion, 1-8, 2011 | 62 | 2011 |
A fast implementation of the labeled multi-Bernoulli filter using Gibbs sampling S Reuter, A Danzer, M Stübler, A Scheel, K Granström 2017 IEEE Intelligent Vehicles Symposium (IV), 765-772, 2017 | 60 | 2017 |
Real-time multi-object tracking using random finite sets S Reuter, B Wilking, J Wiest, M Munz, K Dietmayer IEEE Transactions on Aerospace and Electronic Systems 49 (4), 2666-2678, 2013 | 51 | 2013 |
Kalman filter based classifier fusion for affective state recognition M Glodek, S Reuter, M Schels, K Dietmayer, F Schwenker Multiple Classifier Systems: 11th International Workshop, MCS 2013, Nanjing …, 2013 | 50 | 2013 |
Multi-sensor multi-object tracking of vehicles using high-resolution radars A Scheel, C Knill, S Reuter, K Dietmayer 2016 IEEE Intelligent Vehicles Symposium (IV), 558-565, 2016 | 49 | 2016 |
Fusion paradigms in cognitive technical systems for human–computer interaction M Glodek, F Honold, T Geier, G Krell, F Nothdurft, S Reuter, F Schüssel, ... Neurocomputing 161, 17-37, 2015 | 49 | 2015 |
Multi-sensor self-localization based on maximally stable extremal regions H Deusch, S Reuter, D Nuss, M Fritzsche, K Dietmayer 2014 IEEE Intelligent Vehicles Symposium Proceedings, 555-560, 2014 | 49 | 2014 |
A generalised labelled multi-Bernoulli filter for extended multi-target tracking M Beard, S Reuter, K Granström, BT Vo, BN Vo, A Scheel 2015 18th International Conference on Information Fusion (Fusion), 991-998, 2015 | 46 | 2015 |