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      Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems

      , , , , ,
      Machines
      MDPI AG

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          Abstract

          In recent years, driving simulators have been widely used by automotive manufacturers and researchers in human-in-the-loop experiments, because they can reduce time and prototyping costs, and provide unlimited parametrization, more safety, and higher repeatability. Simulators play an important role in studies about driver behavior in operating conditions or with unstable vehicles. The aim of the research is to study the effects that the force feedback (f.f.b.), provided to steering wheel by a lane-keeping-assist (LKA) system, has on a driver’s response in simulators. The steering’s force feedback system is tested by reproducing the conditions of criticality of the LKA system in order to minimize the distance required to recover the driving stability as a function of set f.f.b. intensity and speed. The results, obtained in three specific criticality conditions, show that the behaviour of the LKA system, reproduced in the simulator, is not immediately understood by the driver and, sometimes, it is in opposition with the interventions performed by the driver to ensure driving safety. The results also compare the performance of the subjects, either overall and classified into subgroups, with reference to the perception of the LKA system, evaluated by means of a questionnaire. The proposed experimental methodology is to be regarded as a contribution for the integration of acceptance tests in the evaluation of automation systems.

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          Quale rapporto tra età, livello cognitivo e processi di elaborazione?

          Salmaso (1990)
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            System design of a situation adaptive lane keeping support system, the SAFELANE system

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              Design of Lane-Keeping Control with Steering Torque Input for a Lane-Keeping Support System

              Shimakage (2001)
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                MACHCV
                Machines
                Machines
                MDPI AG
                2075-1702
                September 2020
                August 19 2020
                : 8
                : 3
                : 47
                Article
                10.3390/machines8030047
                ff77ef63-6bdf-4238-a29e-cbb1acb9f001
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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