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Components

5 Twig Components
5 Render Count
16 ms Render Time
160.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
PageBanner 
"App\Twig\Components\PageBanner"
components/PageBanner.html.twig 		1 4.44ms
BackButton 
"App\Twig\Components\BackButton"
components/BackButton.html.twig 		1 0.22ms
ProductCard 
"App\Twig\Components\ProductCard"
components/ProductCard.html.twig 		1 11.75ms
ProductState 
"App\Twig\Components\ProductState"
components/ProductState.html.twig 		1 0.20ms
ProductMostRecent 
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig 		1 0.67ms

Render calls

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App\Twig\Components\BackButton {#94260
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ProductCard App\Twig\Components\ProductCard 160.0 MiB 11.75 ms
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ProductState App\Twig\Components\ProductState 160.0 MiB 0.20 ms
Input props 
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          (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.<br />\n
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        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          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.<br />\n
          \t\t\t\t<br />\n
          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:<br />\n
          (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.<br />\n
          (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<br />\n
          (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.<br />\n
          Compliance with this recommended practice does not guarantee the safety of the overall system.
          """
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        #shortDescription: "IEEE Draft Recommended Practice for the Application of Assumptions on Reasonably Foreseeable Behavior of Other Road Users in Safety Related Models"
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