Abstract A spoken dialogue system for car-navigation systems may be able to provide more natural and smoother communications but it must also cause safety problems. One of these problems is distraction whereby machine operation and voice conversations influence the driver. Even the use of a simple speech interface may affect the driving operation. We consider that a spoken dialogue system which can understand the driver's situation and change its dialogue rhythm according to that situation would be safe as part of a car-navigation system. For this to be possible, the system needs to predict and recognize driver's actions from environmental information such as driving signals. In this chapter, we report the results of an experiment on predicting driver actions. The action prediction system uses HMM-based pattern recognition only on driving signals and does not use position information. Its best driving action prediction accuracy was 0.632.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Prediction of Driving Actions from Driving Signals

    Itoh, T. / Yamada, S. / Yamamoto, K. et al. | British Library Conference Proceedings | 2009


    Actions prediction for hypothetical driving conditions

    HARSHAM BRET / HERSHEY JOHN R / LE ROUX JONATHAN et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    AUTOMATED DRIVING ACTIONS FOR DETERMINED DRIVING CONDITIONS

    DE LA GARZA VILLARREAL ELSIE / DELANEY CLAUDIA A / WALE MADISON E et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    AUTOMATED DRIVING ACTIONS FOR DETERMINED DRIVING CONDITIONS

    DE LA GARZA VILLARREAL ELSIE / DELANEY CLAUDIA A / WALE MADISON E et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    AUTOMATED DRIVING ACTIONS FOR DETERMINED DRIVING CONDITIONS

    DE LA GARZA VILLARREAL ELSIE / DELANEY CLAUDIA A / WALE MADISON E et al. | Europäisches Patentamt | 2024

    Freier Zugriff