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Christian Hubschneider
Christian Hubschneider
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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
1242017
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
642016
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
512017
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
352019
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
352017
Calibrating uncertainty models for steering angle estimation
C Hubschneider, R Hutmacher, JM Zöllner
2019 IEEE intelligent transportation systems conference (ITSC), 1511-1518, 2019
252019
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
222020
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
62019
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
52016
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
32023
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
32022
Unsupervised Evaluation of Lidar Domain Adaptation
C Hubschneider, S Roesler, JM Zöllner
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
22020
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
12022
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
12019
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, ...
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