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Viktor Kreß
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2020 – today
- 2023
- [j1]Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. 8(3): 2592-2603 (2023) - 2022
- [c11]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV 2022: 265-272 - 2021
- [c10]Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 2021: 1-7 - [d2]Viktor Kress, Stefan Zernetsch, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps. Zenodo, 2021 - [d1]Viktor Kress, Stefan Zernetsch, Hannes Reichert, Manuel Hetzel, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Aschaffenburg Pose Dataset. Zenodo, 2021 - [i5]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Intention Detection: A Probabilistic Approach. CoRR abs/2104.09176 (2021) - [i4]Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR abs/2106.02598 (2021) - [i3]Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR abs/2106.15991 (2021) - 2020
- [c9]Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) 2020: 57-71 - [c8]Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick:
Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR 2020: 2620-2626 - [c7]Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI 2020: 2723-2730
2010 – 2019
- 2019
- [c6]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) 2019: 219-228 - [c5]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Start Intention Detection of Cyclists. ITSC 2019: 2381-2386 - [c4]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. IV 2019: 810-815 - [c3]Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI 2019: 1200-1207 - 2018
- [c2]Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll:
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. Intelligent Vehicles Symposium 2018: 1-6 - [c1]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Human Pose Estimation in Real Traffic Scenes. SSCI 2018: 518-523 - [i2]Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll:
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR abs/1803.02242 (2018) - [i1]Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick:
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR abs/1803.03479 (2018)
Coauthor Index
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