Stefan Zernetsch

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 30

Top Topics

Pose Estimation

Action Recognition

Top Venues

Intelligent Vehicles Symposium

Publications

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) (2023)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV (2022)
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)
Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
Cyclist Motion State Forecasting - Going beyond Detection. SSCI (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR (2021)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Intention Detection: A Probabilistic Approach. CoRR (2021)
Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR (2021)
Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) (2020)
Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick
Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR (2020)
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. IEEE Trans. Intell. Transp. Syst. 21 (7) (2020)
Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI (2020)
Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI (2019)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) (2019)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Start Intention Detection of Cyclists. ITSC (2019)
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)
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 (2018)
Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR (2018)
Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR (2018)
Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC (2018)
Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR (2018)
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 (2018)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Human Pose Estimation in Real Traffic Scenes. SSCI (2018)
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. IEEE Trans. Intell. Veh. 3 (4) (2018)
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)
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 (2018)
Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium (2017)
Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI (2017)
Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC (2017)
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)
Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann
Early prediction of a pedestrian's trajectory at intersections. ITSC (2013)