Stefan Zernetsch

According to our database, Stefan Zernetsch authored at least 28 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories.

Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick

IEEE Trans. Intell. Veh., March, 2023

2022

Maschinelle Lernverfahren zur videobasierten Intentionserkennung von Radfahrern mit stationären Kameras.

Stefan Zernetsch

PhD thesis, 2022

A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Aschaffenburg Pose Dataset.

Viktor Kress, Stefan Zernetsch, Hannes Reichert, Manuel Hetzel, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick

Dataset, November, 2021

Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps.

Viktor Kress, Stefan Zernetsch, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick

Dataset, June, 2021

Cyclist Intention Detection: A Probabilistic Approach.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

CoRR, 2021

Cyclist Motion State Forecasting - Going beyond Detection.

Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists.

Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information.

Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the IEEE International Smart Cities Conference, 2021

2020

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning.

Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer

IEEE Trans. Intell. Transp. Syst., 2020

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks.

Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution.

Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks.

Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Pose Based Trajectory Forecast of Vulnerable Road Users.

Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks.

Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Pose Based Start Intention Detection of Cyclists.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Start Intention Detection of Cyclists using an LSTM Network.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.

Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll

IEEE Trans. Intell. Veh., 2018

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence.

Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll

CoRR, 2018

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.

Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick

CoRR, 2018

Human Pose Estimation in Real Traffic Scenes.

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network.

Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.

Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks.

Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cyclists' starting behavior at intersections.

Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Cooperative starting intention detection of cyclists based on smart devices and infrastructure.

Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

Trajectory prediction of cyclists using a physical model and an artificial neural network.

Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2013

Early prediction of a pedestrian's trajectory at intersections.

Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013