
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).
V2X, Autonomous Driving
V2X, Autonomous Driving
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
