Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios

Thilo Braun, Lennart Ries, Moritz Hesche, Stefan Otten, Eric Sax

2022

Abstract

Since automated driving functions are safety-critical systems, extensive validation and verification is necessary. Scenario-based testing is a promising approach for this challenge. For selection of relevant scenarios, collected data and knowledge models are potential sources. In this paper we introduce a concept to use recorded trajectory and map data, abstracted to maneuvers, to describe the scenarios and visualize them intuitively. This enables a data-driven scenario-mining process to find relevant scenarios for the testing of automated driving functions. To compare the scenarios, a similarity measure based on the manuevers is designed and the scenarios and their similarities are represented as a graph. Graph-visualization methods, already successfully applied in other domains, structure the collected data for further analysis. The concept is exemplary applied to an urban traffic dataset.

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Paper Citation


in Harvard Style

Braun T., Ries L., Hesche M., Otten S. and Sax E. (2022). Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 236-244. DOI: 10.5220/0011140600003269


in Bibtex Style

@conference{data22,
author={Thilo Braun and Lennart Ries and Moritz Hesche and Stefan Otten and Eric Sax},
title={Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={236-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011140600003269},
isbn={978-989-758-583-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios
SN - 978-989-758-583-8
AU - Braun T.
AU - Ries L.
AU - Hesche M.
AU - Otten S.
AU - Sax E.
PY - 2022
SP - 236
EP - 244
DO - 10.5220/0011140600003269