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

TL;DR

This paper reviews maneuver-based scenario description methods for automated driving simulations, highlighting their potential to improve scenario generalization and identifying current research gaps and limitations.

Contribution

It provides a comprehensive overview of the state of the art in maneuver-based scenario description and discusses related modeling approaches from other fields.

Findings

Maneuver-based approaches offer promising alternatives to trajectory-based scenario descriptions.

Current limitations include lack of standardization and limited validation methods.

Research gaps involve integration with existing simulation frameworks and handling of complex maneuvers.

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.