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Conference Papers Year : 2021

EPSAAV: An Extensible Platform for Safety Analysis of Autonomous Vehicles

Abstract

In this paper, a novel model related to the safety of autonomous vehicles (AVs) is presented. A simulation platform is designed to analyze the environment and the trajectory of AVs within a given Operational Design Domain (ODD). This platform relies on model-based systems and includes the environment model, safety rules and their priorities, and execution scenarios. The goal is to create a simulation environment that enables safety experts to detect rule breaches by analyzing problems at run-time using generated monitors. Therefore, this platform will help to reevaluate the existing rules in two ways: either by reconsidering rule priorities or by proposing new rules to be integrated into the existing safety model. The validation and verification of the generated rules will follow a process based on the history of the executed scenarios. All the aforementioned work is carried out by using the GEMOC initiative tool to coordinate models using logical time.
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Dates and versions

hal-03331190 , version 1 (01-09-2021)

Identifiers

Cite

Joelle Abou Faysal, Nour Zalmai, Ankica Barisic, Frédéric Mallet. EPSAAV: An Extensible Platform for Safety Analysis of Autonomous Vehicles. MEDI 2021 - 10th International Conference on Model and Data Engineering, Jun 2021, Tallinn, Estonia. ⟨10.1007/978-3-030-87657-9_8⟩. ⟨hal-03331190⟩
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