This document describes a systematic and rigorous process to: (1) identify and evaluate standard names and definitions for driving automation system features, and (2) identify a “user vocabulary” of terms and descriptions that [human] drivers use to describe driving automation system features. The process described in this document includes selection criteria and trade-offs that can be used to select an approach to testing that matches the constraints and objective of a particular evaluation. The data from this process are analyzed to determine users’ name preferences for driving automation system features and what they would expect a specific feature to do, based on the name given to the features. The data generated by this naming methodology can provide guidance regarding the names that may support accurate understanding of the feature’s capabilities and limitations. Although the process described in this document emphasizes the use of large-scale electronic surveys for data collection, an in-person approach to administer the test (either paper-and-pencil or electronic) could be used instead. NOTE: The development of this SAE Recommended Practice for developing standard names for driving automation system features was greatly aided by a large-scale pilot test that was used to assess and refine the individual test procedures described below. A summary of this pilot test is provided in Appendix A. Since the 1990s, active safety systems—including driver assistance systems—have been deployed in on-road vehicles. As the number and range of functions associated with driver assistance technologies and, now, driving automation systems—including automated driving systems (ADSs)—increase, it is crucial that users understand what they do and how they typically function. Across vehicle manufacturers, very different names are often given to the same basic vehicle technology. In this regard, a survey conducted by the AAA Traffic Safety Foundation (American Automobile Association, 2019) found 20 different names for adaptive cruise control, 19 for lane keeping assistance, and 19 for blind spot warning features; the same report noted that there is often a mismatch between feature names and feature functionality. While each manufacturer may use unique “branding” or “marketing” names for these systems and features, it is important to promote clear communication about them to prevent misunderstanding, confusion, or misuse. Key to this goal is a need to identify standard public-facing names and corresponding basic definitions that employ user-friendly language for these systems and their features. To support this goal, SAE J3265 integrates a complimentary set of test procedures and evaluation methodologies to provide a systematic process for identifying and evaluating standard names and definitions for driving automation system features and for identifying a “user vocabulary” of standardized terms and descriptions for these systems and features.


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    Titel :

    Naming Methodology for Driving Automation Systems


    Erscheinungsdatum :

    2022-11-02



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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    Nakanishi, Yuko J. / Auza, Pierre M. | Springer Verlag | 2023


    METHODS AND SYSTEMS FOR MONITORING DRIVING AUTOMATION

    SAHEBNASSAGH AMIR / KHALKHALI SEYED MOHSEN MOUSAVI / ABDOLLAHI HAMID et al. | Europäisches Patentamt | 2023

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