Empowering Autonomous Shuttles with Next-Generation Infrastructure
Abstract
As cities strive to address urban mobility challenges, combining autonomous transportation technologies with intelligent infrastructure presents an opportunity to transform how people move within urban environments. Autonomous shuttles are particularly suited for adaptive and responsive public transport for the first and last mile, connecting with smart infrastructure to enhance urban transit. This paper presents the concept, implementation, and evaluation of a proof-of-concept deployment of an autonomous shuttle integrated with smart infrastructure at a public fair. The infrastructure includes two perception-equipped bus stops and a connected pedestrian intersection, all linked through a central communication and control hub. Our key contributions include the development of a comprehensive system architecture for “smart” bus stops, the integration of multiple urban locations into a cohesive smart transport ecosystem, and the creation of adaptive shuttle behavior for automated driving. Additionally, we publish an open source dataset and a Vehicle-to-X (V2X) driver to support further research. Finally, we offer an outlook on future research directions and potential expansions of the demonstrated technologies and concepts.
Cite
Text
Ochs et al. "Empowering Autonomous Shuttles with Next-Generation Infrastructure." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91813-1_15Markdown
[Ochs et al. "Empowering Autonomous Shuttles with Next-Generation Infrastructure." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/ochs2024eccvw-empowering/) doi:10.1007/978-3-031-91813-1_15BibTeX
@inproceedings{ochs2024eccvw-empowering,
title = {{Empowering Autonomous Shuttles with Next-Generation Infrastructure}},
author = {Ochs, Sven and Yazgan, Melih and Polley, Rupert and Schotschneider, Albert and Orf, Stefan and Uecker, Marc and Zipfl, Maximilian and Burger, Julian and Vivekanandan, Abhishek and Amritzer, Jennifer and Zofka, Marc René and Zöllner, J. Marius},
booktitle = {European Conference on Computer Vision Workshops},
year = {2024},
pages = {228-243},
doi = {10.1007/978-3-031-91813-1_15},
url = {https://mlanthology.org/eccvw/2024/ochs2024eccvw-empowering/}
}