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Stefan Zernetsch
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2020 – today
- 2023
- [j3]Viktor Kress
, Fabian Jeske, Stefan Zernetsch
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. 8(3): 2592-2603 (2023) - 2022
- [b1]Stefan Zernetsch:
Maschinelle Lernverfahren zur videobasierten Intentionserkennung von Radfahrern mit stationären Kameras. University of Kassel, Germany, 2022, ISBN 978-3-7376-1053-7, pp. 1-199 - [c19]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
- [c18]Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 2021: 1-7 - [c17]Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick:
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops 2021: 272-279 - [c16]Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick:
Cyclist Motion State Forecasting - Going beyond Detection. SSCI 2021: 1-8 - [d2]Viktor Kress
Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps. Zenodo, 2021 - [d1]Viktor Kress
Aschaffenburg Pose Dataset. Zenodo, 2021 - [i9]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Intention Detection: A Probabilistic Approach. CoRR abs/2104.09176 (2021) - [i8]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) - [i7]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
- [j2]Michael Goldhammer, Sebastian Köhler
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. IEEE Trans. Intell. Transp. Syst. 21(7): 3035-3045 (2020) - [c15]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 - [c14]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 - [c13]Viktor Kress
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI 2020: 2723-2730
2010 – 2019
- 2019
- [c12]Viktor Kress
Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) 2019: 219-228 - [c11]Viktor Kress
Pose Based Start Intention Detection of Cyclists. ITSC 2019: 2381-2386 - [c10]Stefan Zernetsch, Hannes Reichert, Viktor Kress
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. IV 2019: 810-815 - [c9]Viktor Kress
Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI 2019: 1200-1207 - 2018
- [j1]Maarten Bieshaar
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. 3(4): 534-544 (2018) - [c8]Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC 2018: 436-443 - [c7]Stefan Zernetsch, Viktor Kress
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. Intelligent Vehicles Symposium 2018: 1-6 - [c6]Viktor Kress
Human Pose Estimation in Real Traffic Scenes. SSCI 2018: 518-523 - [i6]Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs:
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR abs/1803.02096 (2018) - [i5]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) - [i4]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) - [i3]Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll:
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR abs/1803.03487 (2018) - [i2]Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer:
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. CoRR abs/1803.03577 (2018) - [i1]Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll:
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR abs/1809.03916 (2018) - 2017
- [c5]Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC 2017: 1-8 - [c4]Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium 2017: 1071-1077 - [c3]Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI 2017: 1-8 - 2016
- [c2]Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick
Trajectory prediction of cyclists using a physical model and an artificial neural network. Intelligent Vehicles Symposium 2016: 833-838 - 2013
- [c1]Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann:
Early prediction of a pedestrian's trajectory at intersections. ITSC 2013: 237-242
Coauthor Index
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