Learning how to drive in a real world simulation with deep q-networks P Wolf, C Hubschneider, M Weber, A Bauer, J Härtl, F Dürr, JM Zöllner 2017 IEEE Intelligent Vehicles Symposium (IV), 244-250, 2017 | 131 | 2017 |
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks J Kaiser, JCV Tieck, C Hubschneider, P Wolf, M Weber, M Hoff, ... 2016 IEEE International Conference on Simulation, Modeling, and Programming …, 2016 | 66 | 2016 |
Adding navigation to the equation: Turning decisions for end-to-end vehicle control C Hubschneider, A Bauer, M Weber, JM Zöllner 2017 IEEE 20th international conference on intelligent transportation …, 2017 | 51 | 2017 |
Towards large scale urban traffic reference data: Smart infrastructure in the test area autonomous driving baden-württemberg T Fleck, K Daaboul, M Weber, P Schörner, M Wehmer, J Doll, S Orf, ... Intelligent Autonomous Systems 15: Proceedings of the 15th International …, 2019 | 37 | 2019 |
Integrating end-to-end learned steering into probabilistic autonomous driving C Hubschneider, A Bauer, J Doll, M Weber, S Klemm, F Kuhnt, JM Zöllner 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 36 | 2017 |
Calibrating uncertainty models for steering angle estimation C Hubschneider, R Hutmacher, JM Zöllner 2019 IEEE intelligent transportation systems conference (ITSC), 1511-1518, 2019 | 25 | 2019 |
Using mixture of expert models to gain insights into semantic segmentation S Pavlitskaya, C Hubschneider, M Weber, R Moritz, F Huger, P Schlicht, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 22 | 2020 |
Grid-based micro traffic prediction using fully convolutional networks P Schörner, C Hubschneider, J Härtl, R Polley, JM Zöllner 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4540-4547, 2019 | 6 | 2019 |
2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR) J Kaiser, JCV Tieck, C Hubschneider, P Wolf, M Weber, M Hoff | 5 | 2016 |
Sparsely-gated mixture-of-expert layers for cnn interpretability S Pavlitska, C Hubschneider, L Struppek, JM Zöllner 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | 3 | 2023 |
Evaluating mixture-of-experts architectures for network aggregation S Pavlitskaya, C Hubschneider, M Weber Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 3 | 2022 |
Unsupervised Evaluation of Lidar Domain Adaptation C Hubschneider, S Roesler, JM Zöllner 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 2 | 2020 |
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs S Pavlitskaya, C Hubschneider, L Struppek, JM Zöllner arXiv preprint arXiv:2204.10598 4, 2022 | 1 | 2022 |
CNN based Multi-View Object Detection and Association M Weber, L Volkert, C Hubschneider, JM Zöllner 2019 ieee intelligent transportation systems conference (itsc), 73-78, 2019 | 1 | 2019 |
CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research M Heinrich, M Zipfl, M Uecker, S Ochs, M Gontscharow, T Fleck, J Doll, ... arXiv preprint arXiv:2404.17550, 2024 | | 2024 |
Unsupervised Domain Adaptation via Shared Content Representation for Semantic Segmentation C Hubschneider, M Birkenbach, JM Zöllner 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | | 2021 |
Closing the Gap Between Automated Mobility in Smart Cities: Automated Vehicle and Shuttle Transportation in the Test Area Autonomous Driving Baden-Württemberg N Lambing, S Ochs, S Orf, T Fleck, C Hubschneider, MR Zofka, A Viehl, ... | | |