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Authors: David Perdomo Lopez 1 ; Rene Waldmann 1 ; Christian Joerdens 1 and Raúl Rojas 2

Affiliations: 1 Volkswagen Group Research, Germany ; 2 Freie Universität Berlin, Germany

Keyword(s): Automated Driving, Scenario Interpretation.

Abstract: Even for a human driver, urban intersections represent probably the most difficult scenarios, in which the driver could be overloaded by understanding the traffic rules, predicting the intention of other objects, etc. The complexity of these scenarios makes the task of automated driving at intersections a very difficult challenge. Thus, we propose an approach that aims to reduce the complexity of the scenario interpretation by breaking down the problem into a set of primary situations linked over time. Based on the combination of four primary situations, the scenario interpretation should enable the corresponding planning that guides the ego vehicle along a driving corridor.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Perdomo Lopez, D.; Waldmann, R.; Joerdens, C. and Rojas, R. (2017). Scenario Interpretation based on Primary Situations for Automatic Turning at Urban Intersections. In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-242-4; ISSN 2184-495X, SciTePress, pages 15-23. DOI: 10.5220/0006150300150023

@conference{vehits17,
author={David {Perdomo Lopez}. and Rene Waldmann. and Christian Joerdens. and Raúl Rojas.},
title={Scenario Interpretation based on Primary Situations for Automatic Turning at Urban Intersections},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2017},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006150300150023},
isbn={978-989-758-242-4},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Scenario Interpretation based on Primary Situations for Automatic Turning at Urban Intersections
SN - 978-989-758-242-4
IS - 2184-495X
AU - Perdomo Lopez, D.
AU - Waldmann, R.
AU - Joerdens, C.
AU - Rojas, R.
PY - 2017
SP - 15
EP - 23
DO - 10.5220/0006150300150023
PB - SciTePress

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