Empowering Autonomous Shuttles with Next-Generation Infrastructure
Creators
- Ochs, Sven (Researcher)1
-
Yazgan, Melih
(Researcher)1
- Polley, Rupert (Researcher)1
-
Schotschneider, Albert
(Researcher)1
- Orf, Stefan (Researcher)1
-
Uecker, Marc
(Researcher)1
- Zipfl, Maximilian (Researcher)1, 2
- Burger, Julian (Researcher)1
- Vivekanandan, Abhishek (Researcher)1
- Amritzer, Jennifer (Researcher)1
- Zofka, Marc René (Researcher)1
- Fleck, Tobias (Researcher)1
- Abouelazm, Ahmed (Researcher)1
- Kocsis, Mihai (Researcher)1
-
Zöllner, J. Marius
(Researcher)1, 2
-
1.
FZI Research Center for Information Technology
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2.
Karlsruhe Institute of Technology
Description
This dataset accompanies the paper: Empowering Autonomous Shuttles with Next-Generation Infrastructure presented at the European Conference on Computer Vision (ECCV) 2024 in Milan.
We provide a dataset in the form of CSV-file recordings. The dataset was recorded during the three-day congress IT-TRANS 2024 in Karlsruhe. It contains 207 individual recordings, each recording representing one trip between the two intelligent bus stops, with a total driving duration of 7 hours and 28 minutes. We publish V2X messages, information regarding the autonomous driving of the shuttle, and recorded information from the bus stops and the intelligent traffic light.
More information about the data and the setup can be read in the paper.
This work was partially funded by KAMO: Karlsruhe Mobility High Performance Center (www.kamo.one).
Files
Files
(1.5 GB)
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