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  4. Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations
 
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2023
Conference Paper
Title

Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations

Abstract
The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such as field tests or formal analyses are not sufficient anymore and need to be complemented by simulations. For simulations, the standard approach is scenario-based testing, as opposed to distance-based testing primarily performed in field tests. Currently, the time evolution of specific scenarios is mainly described using trajectories, which limit or at least hamper generalizations towards variations. As an alternative, maneuver-based approaches have been proposed. We shed light on the state of the art and available foundations for this new method through a literature review of early and recent works related to maneuver-based scenario description. It includes related modeling approaches originally developed for other applications. Current limitations and research gaps are identified.
Author(s)
Neis, Nicole
Beyerer, Jürgen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
34th IEEE Intelligent Vehicles Symposium, IV 2023. Proceedings  
Conference
Intelligent Vehicles Symposium 2023  
Open Access
DOI
10.1109/iv55152.2023.10186545
Additional link
Full text
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • automated driving

  • AI

  • maneuver-based

  • simulation

  • scenario-based testing

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