Automated vehicles (AVs)—and the automated driving systems (ADSs) that enable them—are increasing in prevalence but remain far from ubiquitous. Progress has occurred in spurts, followed by lulls, while the motor transportation system learns to design, deploy, and regulate AVs. Automated Vehicles: A Human/Machine Co-learning Experience focuses on how engineers, regulators, and road users are all learning about a technology that has the potential to transform society. Those engaged in the design of ADSs and AVs may find it useful to consider that the spurts and lulls and stakeholder tussles are a normal part of technology transformations; however, this report will provide suggestions for effective stakeholder engagement. Click here to access the full SAE EDGE TM Research Report portfolio.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automated Vehicles: A Human/Machine Co-learning Perspective


    Beteiligte:
    Nickerson, Jeffrey (Autor:in) / King, John L. (Autor:in) / Lyttinen, Kalle (Autor:in)

    Erscheinungsdatum :

    27.04.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

    Häfner, Bernhard / Jiru, Josef / Schepker, Henning et al. | BASE | 2021

    Freier Zugriff


    Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

    Häfner, Bernhard / Jiru, Josef / Schepker, Henning et al. | Fraunhofer Publica | 2021

    Freier Zugriff

    Machine Ethics and Automated Vehicles

    Goodall, Noah J. | Springer Verlag | 2014


    How will women use automated vehicles? Exploring the role of automated vehicles from women’s perspective

    Soyeon Kim / Shabila Anjani / Dea van Lierop | DOAJ | 2024

    Freier Zugriff