| Three decades of driver assistance systems: Review and future perspectives K Bengler, K Dietmayer, B Farber, M Maurer, C Stiller, H Winner IEEE Intelligent transportation systems magazine 6 (4), 6-22, 2014 | 1027 | 2014 |
| The labeled multi-Bernoulli filter S Reuter, BT Vo, BN Vo, K Dietmayer IEEE Transactions on Signal Processing 62 (12), 3246-3260, 2014 | 739 | 2014 |
| Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ... IEEE Transactions on Intelligent Transportation Systems 22 (3), 1341-1360, 2020 | 738 | 2020 |
| Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods A Nuhic, T Terzimehic, T Soczka-Guth, M Buchholz, K Dietmayer Journal of power sources 239, 680-688, 2013 | 620 | 2013 |
| State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation J Remmlinger, M Buchholz, M Meiler, P Bernreuter, K Dietmayer Journal of power sources 196 (12), 5357-5363, 2011 | 441 | 2011 |
| Probabilistic trajectory prediction with Gaussian mixture models J Wiest, M Höffken, U Kreßel, K Dietmayer 2012 IEEE Intelligent vehicles symposium, 141-146, 2012 | 367 | 2012 |
| Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios N Kaempchen, B Schiele, K Dietmayer IEEE Transactions on Intelligent Transportation Systems 10 (4), 678-687, 2009 | 257 | 2009 |
| Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather M Bijelic, T Gruber, F Mannan, F Kraus, W Ritter, K Dietmayer, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 253 | 2020 |
| Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner KC Fuerstenberg, KCJ Dietmayer, V Willhoeft Intelligent Vehicle Symposium, 2002. IEEE 1, 31-35, 2002 | 250 | 2002 |
| Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection D Feng, L Rosenbaum, K Dietmayer 2018 21st international conference on intelligent transportation systems …, 2018 | 248 | 2018 |
| Continuous driver intention recognition with hidden markov models H Berndt, J Emmert, K Dietmayer 2008 11th International IEEE Conference on Intelligent Transportation …, 2008 | 203 | 2008 |
| Dynamic occupancy grid prediction for urban autonomous driving: A deep learning approach with fully automatic labeling S Hoermann, M Bach, K Dietmayer 2018 IEEE International Conference on Robotics and Automation (ICRA), 2056-2063, 2018 | 174 | 2018 |
| Model-Based Object Classification and Object Tracking in Traffic Scenes from Range-Images KC Dietmayer IV2001, 25-30, 2001 | 167 | 2001 |
| Lane detection and street type classification using laser range images J Sparbert, K Dietmayer, D Streller ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat …, 2001 | 164 | 2001 |
| Robust driving path detection in urban and highway scenarios using a laser scanner and online occupancy grids T Weiss, B Schiele, K Dietmayer 2007 IEEE Intelligent Vehicles Symposium, 184-189, 2007 | 156 | 2007 |
| IMM object tracking for high dynamic driving maneuvers N Kaempchen, K Weiss, M Schaefer, KCJ Dietmayer IEEE Intelligent Vehicles Symposium, 2004, 825-830, 2004 | 155 | 2004 |
| Point transformer N Engel, V Belagiannis, K Dietmayer IEEE access 9, 134826-134840, 2021 | 144 | 2021 |
| 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 | 136 | 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 | 135 | 2015 |
| Car2x-based perception in a high-level fusion architecture for cooperative perception systems A Rauch, F Klanner, R Rasshofer, K Dietmayer 2012 IEEE Intelligent Vehicles Symposium, 270-275, 2012 | 135 | 2012 |
