44 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KasselDE6 papers
- Klinikum AschaffenburgDE2 papers
- University of PassauDE2 papers
- Ansbach University of Applied SciencesDE1 paper
- Carl von Ossietzky Universität OldenburgDE1 paper
- CEA Paris-SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- CY Cergy Paris UniversitéFR1 paper
- Czech Academy of Sciences, Heyrovsky InstituteCZ1 paper
- Czech Academy of Sciences, Institute of BiophysicsCZ1 paper
- FZI Research Center for Information TechnologyDE1 paper
4 papers · 1 filter
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning
Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch +3
Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one of the manifold opportunities provided by the current devel…
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users
Maarten Bieshaar, Günther Reitberger, Viktor Kreß +4
Highly automated driving requires precise models of traffic participants. Many state of the art models are currently based on machine learning techniques. Among others, the require…
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network
Stefan Zernetsch, Viktor Kress, Bernhard Sick +1
In this article, we present a novel approach to detect starting motions of cyclists in real world traffic scenarios based on Motion History Images (MHIs). The method uses a deep Co…
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert +2
In future, vehicles and other traffic participants will be interconnected and equipped with various types of sensors, allowing for cooperation on different levels, such as situatio…