Operational Design Domain Monitoring with Uncertain Measurements - Laboratoire HEUDIASYC - Heuristique et Diagnostic des Systèmes Complexes
Communication Dans Un Congrès Année : 2024

Operational Design Domain Monitoring with Uncertain Measurements

Résumé

Intelligent vehicles are constantly increasing their automation levels; thus, it is necessary to ensure that such vehicles operate under conditions designed to guarantee correct and safe operation. This paper proposes a method to address this challenge using the Operational Design Domain (ODD) concept and vehicle onboard real-time monitoring. The proposed method comprises a framework that estimates the state of the Operational Domain (OD) while considering measurement uncertainty to determine whether the vehicle is within its ODD. This method utilizes fuzzy sets to represent the vagueness of real-world driving environments. We also introduce a taxonomy-based approach to formally define ODDs with respect to vehicle capabilities, independent of the architecture. The approach is demonstrated through simulation use cases, by monitoring the vehicle's OD at runtime and determining when it exits its defined ODD. The results pave the way for the introduction of verifiable safety rules based on OD membership degrees.
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Dates et versions

hal-04829701 , version 1 (10-12-2024)

Identifiants

  • HAL Id : hal-04829701 , version 1

Citer

Thibault Charmet, Véronique Cherfaoui, Javier Ibanez-Guzman, Alexandre Armand. Operational Design Domain Monitoring with Uncertain Measurements. 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024), IEEE, Sep 2024, Edmonton, Canada. ⟨hal-04829701⟩
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