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Kategorie: Öffentlichkeit
Von: Klaus David

ICT4VRU Workshop (im Rahmen der INFORMATIK 2019)

Falko Dressler und Klaus David bei der Begrüßung der Workshop Teilnehmer

Insgesamt 25 Teilnehmer beteiligten sich an Diskussionen im Rahmen des Workshops

Im Rahmen der INFORMATIK 2019 in Kassel fand am 23.09.2019 der „Workshop on ICT based Collision Avoidance for VRUs“ (ICT4VRU) im Campus Center der Universität Kassel statt. Workshop Chairs waren Klaus David (Universität Kassel) und Falko Dressler (Universität Paderborn). Im Rahmen des Workshops wurden von insgesamt 9 eingereichten Publikationen 7 vorgestellt und ein Keynote Talk zum Projekt „Safety4Bikes“ präsentiert. Insgesamt 25 Teilnehmer beteiligen sich am regen Austausch von Ideen und spannenden Diskussionen.

Beschreibung des Workshops (Englisch)
According to the latest report from the World Health Organization (WHO), 26 % of all road traffic deaths worldwide (about 350,000) involve Vulnerable Road Users (VRUs) like pedestrians and bicyclists. Cooperative collision avoidance aims at protecting VRUs by assuming that they are able to communicate their position with nearby cars by using mobile devices. In this approach, vehicles and VRUs exchange information, like their respective movement vectors for detecting whether a collision is possible or not. Mobile devices offer a wide range of sensors, which enable the recognition of specific contexts of VRUs, for example whether a pedestrian is turning towards an intersection or crossing a curb. Those contexts indicate unsafe VRU movements and can be used to improve collision avoidance in terms of collision detection performance, position accuracy, energy efficiency and more. This workshop aims at addressing these and similar challenges for Information and Communication Technologies (ICT) in Car2VRU related scenarios.

Topics of interest include, but are not limited to:
•    Car2VRU architectures, applications and use cases
•    Car2X, Car2VRU (Car2P, Car2B) communications
•    Analysis of latency, overhead and message frequencies for Car2VRU communication
•    Machine learning and context modelling for pedestrians and bicyclists
•    Localization, GNSS improvements
•    Ultra-reliable and low-latency communications (URLLC)
•    Mobile edge computing (MEC)

Workshop Chairs
•    Klaus David, University of Kassel
•    Falko Dressler, Paderborn University

Technical Program Chairs
•    Fabian de Ponte Müller, DLR German Aerospace Center
•    Erwin Biebl, Technical University of Munich
•    Konrad Doll, Aschaffenburg University of Applied Sciences
•    Joerg Ott, Technical University of Munich
•    Lars Wischhof, University of Applied Sciences Munich
•    Lars Wolf, Technical University Braunschweig
•    Michel Morold, University of Kassel

•    Psychological Feasibility of a Virtual Cycling Environment for Human-in-the-Loop Experiments
Lukas Stratmann (Speaker), Dominik S. Buse, Julian Heinovski, Florian Klingler, Christoph Sommer, Jan Tünnermann, Ingrid Scharlau and Falko Dressler
•    Challenges in communication assisted minimization of crash consequences
Sven Pullwitt (Speaker) and Lars Wolf
•    A Novel Approach for Localizing Non-Equipped Road Users
Martin Schmidhammer, Christian Gentner and Fabian de Ponte Müller (Speaker)
•    Automated Learning of Pedestrian Walking Speed Profiles for Improved Movement Prediction
Michel Morold (Speaker), Marek Bachmann, Lars Mathuseck and Klaus David
•    Improving Smartphone Based Collision Avoidance by Using Pedestrian Context Information
Michel Morold, Marek Bachmann (Speaker) and Klaus David
•    Start Intention Detection of Cyclists using an LSTM Network
Viktor Kress (Speaker), Janis Jung, Stefan Zernetsch, Konrad Doll and Bernhard Sick
•    Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition
Diego Botache, Liu Dandan, Maarten Bieshaar (Speaker), Bernhard Sick