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IEEE 3321:2024

IEEE Draft Recommended Practice for the Application of Assumptions on Reasonably Foreseeable Behavior of Other Road Users in Safety Related Models

Summary

New IEEE Standard - Active - Draft.
This recommended practice provides guidelines for applying the assumptions defined in IEEE 2846:2022 in safety-related models during the development, testing, and deployment of Automated Driving Systems (ADS). It specifically covers approaches to identify values for the applicable IEEE 2846:2022 assumptions given the scenario context; approaches for identifying reasonably foreseeable values for these assumptions given the scenario context and for updating these assumptions across the temporal evolution of a scenario; and approaches to validate the selection of assumptions through an analysis of the output of the safety-related model, considering different kinds of performance objectives of interest.

IEEE Std 2846-2022 defines, for a set of initial scenarios, a minimum set of assumptions to be considered by safety-related models to represent the reasonably foreseeable behavior of other road users (ORUs). This recommended practice provides guidelines for using these assumptions in safety-related models during development, testing, and deployment of Automated Driving Systems (ADS). Specifically, it covers:
(i) Approaches to identify values for the applicable IEEE Std 2846-2022 assumptions given the scenario context, such as scenario type, roadway information, and safety-relevant objects.
(ii) Approaches for identifying reasonably foreseeable values for the assumptions given the scenario context (from (i) above) and for updating the assumptions across the temporal evolution of a scenario; and
(iii) Approaches to validate the selection of assumptions in (ii) through an analysis of the output of the safety-related model, considering different kinds of performance targets of interest.
Compliance with this recommended practice does not guarantee the safety of the overall system.

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Technical characteristics

Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publication Date 04/28/2025
Page Count 44
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