| Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling S Hörmann, M Bach, K Dietmayer ArXiv e-prints, 2017 | 194 | 2017 |
| Long-term occupancy grid prediction using recurrent neural networks M Schreiber, S Hoermann, K Dietmayer 2019 International Conference on Robotics and Automation (ICRA), 9299-9305, 2019 | 78 | 2019 |
| Probabilistic long-term prediction for autonomous vehicles S Hoermann, D Stumper, K Dietmayer 2017 IEEE Intelligent Vehicles Symposium–June 11-14, 2017 | 67 | 2017 |
| Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation S Hoermann, P Henzler, M Bach, K Dietmayer https://arxiv.org/abs/1802.02202, 2018 | 49 | 2018 |
| Entering crossroads with blind corners. A safe strategy for autonomous vehicles S Hoermann, F Kunz, D Nuss, S Renter, K Dietmayer 2017 ieee intelligent vehicles symposium (iv), 727-732, 2017 | 40 | 2017 |
| Deeplocalization: Landmark-based self-localization with deep neural networks N Engel, S Hoermann, M Horn, V Belagiannis, K Dietmayer 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 926-933, 2019 | 37 | 2019 |
| Automated Vehicle System Architecture with Performance Assessment ÖS Tas, S Hörmann, B Schäufele, F Kuhnt | 29* | |
| Deep object tracking on dynamic occupancy grid maps using rnns N Engel, S Hoermann, P Henzler, K Dietmayer 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 23 | 2018 |
| Vehicle Localization and Classification Using Off-Board Vision and 3-D Models S Hoermann, PVK Borges IEEE Transactions on Robotics 30 (2), 432-447, 2014 | 13 | 2014 |
| Offline object extraction from dynamic occupancy grid map sequences D Stumper, F Gies, S Hoermann, K Dietmayer 2018 IEEE Intelligent Vehicles Symposium (IV), 389-396, 2018 | 11 | 2018 |
| Learning long-term situation prediction for automated driving S Hoermann, M Bach, K Dietmayer 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 4 | 2017 |
| Robot localization using 3D-models and an off-board monocular camera S Hoermann, PVK Borges Computer Vision Workshops (ICCV Workshops), 2011 IEEE International …, 2011 | 4 | 2011 |
| Predicting Objects of Interest with Deep Learning S Hoermann, K Dietmayer | | |
Klaus DietmayerProfessor für Mess- und RegelungstechnikVerified email at uni-ulm.de
