Early prediction of a pedestrian's trajectory at intersections. - Michael Goldhammer; Matthias Gerhard; Stefan Zernetsch; Konrad Doll; Ulrich Brunsmann (ITSC, 2013)

Trajectory prediction of cyclists using a physical model and an artificial neural network. - Stefan Zernetsch; Sascha Kohnen; Michael Goldhammer; Konrad Doll; Bernhard Sick (Intelligent Vehicles Symposium, 2016)

Cooperative starting intention detection of cyclists based on smart devices and infrastructure. - Maarten Bieshaar; Stefan Zernetsch; Malte Depping; Bernhard Sick; Konrad Doll (ITSC, 2017)

Cyclists' starting behavior at intersections. - Andreas Hubert; Stefan Zernetsch; Konrad Doll; Bernhard Sick (Intelligent Vehicles Symposium, 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 (SSCI, 2017)

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. - Günther Reitberger; Maarten Bieshaar; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Erich Fuchs (ITSC, 2018)

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. - Stefan Zernetsch; Viktor Kress; Bernhard Sick; Konrad Doll (Intelligent Vehicles Symposium, 2018)

Human Pose Estimation in Real Traffic Scenes. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 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)

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. - Maarten Bieshaar; Günther Reitberger; Stefan Zernetsch; Bernhard Sick; Erich Fuchs; Konrad Doll (CoRR, 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)

Start Intention Detection of Cyclists using an LSTM Network. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (GI-Jahrestagung (Workshops), 2019)

Pose Based Start Intention Detection of Cyclists. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (ITSC, 2019)

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (IV, 2019)

Pose Based Trajectory Forecast of Vulnerable Road Users. - Viktor Kress; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 2019)

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. - Viktor Kress; Stefan Zernetsch; Konrad Doll; Bernhard Sick (ICPR Workshops (1), 2020)

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. - Stefan Zernetsch; Steven Schreck; Viktor Kress; Konrad Doll; Bernhard Sick (ICPR, 2020)

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. - Viktor Kress; Steven Schreck; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 2020)

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. - Michael Goldhammer; Sebastian Köhler 004; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2020)

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. - Stefan Zernetsch; Oliver Trupp; Viktor Kress; Konrad Doll; Bernhard Sick (ISC2, 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 (IV Workshops, 2021)

Cyclist Motion State Forecasting - Going beyond Detection. - Maarten Bieshaar; Stefan Zernetsch; Katharina Riepe; Konrad Doll; Bernhard Sick (SSCI, 2021)

Cyclist Intention Detection: A Probabilistic Approach. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (CoRR, 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 (Zenodo, 2021)

Aschaffenburg Pose Dataset. - Viktor Kress; Stefan Zernetsch; Hannes Reichert; Manuel Hetzel; Maarten Bieshaar; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (Zenodo, 2021)

A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (IV, 2022)

Maschinelle Lernverfahren zur videobasierten Intentionserkennung von Radfahrern mit stationären Kameras. - Stefan Zernetsch (2022)

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., 2023)