Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories

Christian King, Thilo Braun, Constantin Braess, Jacob Langner, Eric Sax

2021

Abstract

Driving scenarios are an essential part of validation of future highly automated driving (HAD) systems. In order to provide a valid proof of safety, it is crucial to test the system in as many realistic driving scenarios as possible. For this reason, it is necessary to extract driving scenarios from recorded data. A particular challenge in urban traffic is that there is a high degree of interaction between road users that needs to be considered. In this paper we present a concept for a maneuver-based extraction of driving scenarios. The extracted scenarios are provided in a format that supports a swift understanding of the content. In addition to the mere driving scenarios, parameter ranges for each scenario are grouped and aggregated from the data. Hence, the scenarios extracted with the presented concept can be used for re-simulation during the validation. We provide some results from the scenario extraction for an intersection from the INTERACTION data set.

Paper Citation

in Harvard Style

King C., Braun T., Braess C., Langner J. and Sax E. (2021). Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 471-480. DOI: 10.5220/0010441204710480

in Bibtex Style

@conference{vehits21,
author={Christian King and Thilo Braun and Constantin Braess and Jacob Langner and Eric Sax},
title={Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={471-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010441204710480},
isbn={978-989-758-513-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories
SN - 978-989-758-513-5
AU - King C.
AU - Braun T.
AU - Braess C.
AU - Langner J.
AU - Sax E.
PY - 2021
SP - 471
EP - 480
DO - 10.5220/0010441204710480