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 | 1346 | 2020 |
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 | 1205 | 2014 |
The labeled multi-Bernoulli filter S Reuter, BT Vo, BN Vo, K Dietmayer IEEE Transactions on Signal Processing 62 (12), 3246-3260, 2014 | 866 | 2014 |
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 | 757 | 2013 |
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 | 535 | 2020 |
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 | 483 | 2011 |
Probabilistic trajectory prediction with Gaussian mixture models J Wiest, M Höffken, U Kreßel, K Dietmayer 2012 IEEE Intelligent vehicles symposium, 141-146, 2012 | 430 | 2012 |
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 | 312 | 2018 |
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 | 302 | 2009 |
A review and comparative study on probabilistic object detection in autonomous driving D Feng, A Harakeh, SL Waslander, K Dietmayer IEEE Transactions on Intelligent Transportation Systems 23 (8), 9961-9980, 2021 | 297 | 2021 |
Point transformer N Engel, V Belagiannis, K Dietmayer IEEE access 9, 134826-134840, 2021 | 279 | 2021 |
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 | 251 | 2002 |
Continuous driver intention recognition with hidden markov models H Berndt, J Emmert, K Dietmayer 2008 11th International IEEE Conference on Intelligent Transportation …, 2008 | 224 | 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 | 219 | 2018 |
2d car detection in radar data with pointnets A Danzer, T Griebel, M Bach, K Dietmayer 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 61-66, 2019 | 194 | 2019 |
IMM object tracking for high dynamic driving maneuvers N Kaempchen, K Weiss, M Schaefer, KCJ Dietmayer IEEE Intelligent Vehicles Symposium, 2004, 825-830, 2004 | 189 | 2004 |
Instantaneous ego-motion estimation using Doppler radar D Kellner, M Barjenbruch, J Klappstein, J Dickmann, K Dietmayer 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 187 | 2013 |
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 | 183 | 2018 |
Instantaneous ego-motion estimation using multiple Doppler radars D Kellner, M Barjenbruch, J Klappstein, J Dickmann, K Dietmayer 2014 IEEE International Conference on Robotics and Automation (ICRA), 1592-1597, 2014 | 165 | 2014 |
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 | 165 | 2012 |