| 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 | 218 | 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 | 191 | 2019 |
| 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 | 159 | 2015 |
| Deep convolutional traffic light recognition for automated driving M Bach, D Stumper, K Dietmayer 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 57 | 2018 |
| Object detection on dynamic occupancy grid maps using deep learning and automatic label generation S Hoermann, P Henzler, M Bach, K Dietmayer 2018 IEEE Intelligent Vehicles Symposium (IV), 826-833, 2018 | 55 | 2018 |
| Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter M Bach, S Reuter, K Dietmayer 2017 IEEE Intelligent Vehicles Symposium (IV), 1045-1051, 2017 | 47 | 2017 |
| 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 |
| Verbundprojekt: Energieeffiziente und flexibel industriell herstellbare Elektrofahrzeugantriebe, Akronym: EFFECT 360°-Teilvorhaben:" Vorausschauendes energieoptimales Fahren … M Bach, M Buchholz, K Dietmayer Institut für Mess-Regel-und Mikrotechnik, Universität Ulm, 2018 | | 2018 |
