Klaus Dietmayer
Klaus Dietmayer
Professor für Mess- und Regelungstechnik
Verified email at - Homepage
Cited by
Cited by
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
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
The labeled multi-Bernoulli filter
S Reuter, BT Vo, BN Vo, K Dietmayer
IEEE Transactions on Signal Processing 62 (12), 3246-3260, 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
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
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
Probabilistic trajectory prediction with Gaussian mixture models
J Wiest, M Höffken, U Kreßel, K Dietmayer
2012 IEEE Intelligent vehicles symposium, 141-146, 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
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
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
Continuous driver intention recognition with hidden markov models
H Berndt, J Emmert, K Dietmayer
2008 11th International IEEE Conference on Intelligent Transportation …, 2008
Point transformer
N Engel, V Belagiannis, K Dietmayer
IEEE access 9, 134826-134840, 2021
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
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
IMM object tracking for high dynamic driving maneuvers
N Kaempchen, K Weiss, M Schaefer, KCJ Dietmayer
IEEE Intelligent Vehicles Symposium, 2004, 825-830, 2004
Model-Based Object Classification and Object Tracking in Traffic Scenes from Range-Images
KC Dietmayer
IV2001, 25-30, 2001
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
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
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
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
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