During the development of new vehicles, finding correlation links between subjective assessments (SA) and objective metrics (OM) is an important part of the vehicle evaluation process. Studying different correlation links is important in that the knowledge gained can be used at the front end of development, during testing and when creating new systems. Both SA from expert drivers using a rating scale of 1–10 and OM from different tests measured by a steering robot were collected using standard testing protocols at an automotive manufacturer. The driver ratings were evaluated and the correlations were analysed using regression analysis and neural networks through a case study approach. Links were identified and were compared with related research.


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    Titel :

    Links between subjective assessments and objective metrics for steering, and evaluation of driver ratings


    Beteiligte:
    Nybacka, Mikael (Autor:in) / He, Xuxin (Autor:in) / Su, Zhicheng (Autor:in) / Drugge, Lars (Autor:in) / Bakker, Egbert (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    20 Seiten, 10 Bilder, 13 Tabellen, 25 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Links between subjective assessments and objective metrics for steering, and evaluation of driver ratings

    Nybacka, Mikael / He, Xuxin / Su, Zhicheng et al. | Taylor & Francis Verlag | 2014



    Links between subjective assessments and objective metrics for steering

    Nybacka, M. / He, X. / Gómez, G. et al. | Online Contents | 2014


    Links between subjective assessments and objective metrics for steering

    Nybacka, M. / He, X. / Gómez, G. et al. | Springer Verlag | 2014