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Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users Cover

Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users

Transport and Telecommunication Journal
Volume 24 (2023): Issue 1 (February 2023)
By: Stefan Sass,  Markus Höfer,  Michael Schmidt and  Stephan Schmidt  
Open Access
|Feb 2023

Authors

Stefan Sass

stefan.sass@ovgu.de

Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany

Markus Höfer

markus.hoefer@ovgu.de

Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany

Michael Schmidt

michael1.schmidt@ovgu.de

Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany

Stephan Schmidt

stephan.schmidt@ovgu.de

Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany
DOI: https://doi.org/10.2478/ttj-2023-0006 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 55 - 64
Published on: Feb 28, 2023
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Autonomous driving,
Cargo bike,
Urban mobility,
Trajectory prediction,
Neural networks,
Deep learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Stefan Sass, Markus Höfer, Michael Schmidt, Stephan Schmidt, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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