Martin Bach
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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
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
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
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
Deep convolutional traffic light recognition for automated driving
M Bach, D Stumper, K Dietmayer
2018 21st International Conference on Intelligent Transportation Systems …, 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
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
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
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