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

被引:2
|
作者
Neis, Nicole [1 ]
Beyerer, Juergen [2 ,3 ]
机构
[1] Porsche Engn Grp GmbH, D-71287 Weissach, Germany
[2] Fraunhofer IOSB, D-76131 Karlsruhe, Germany
[3] Karlsruhe Inst Technol KIT, Vis & Fus Lab IES, D-76131 Karlsruhe, Germany
关键词
automated driving; AI; maneuver-based; simulation; scenario-based testing; PREDICTION; CLASSIFICATION; FRAMEWORK; VEHICLES;
D O I
10.1109/IV55152.2023.10186545
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:8
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