In recent years, driver drowsiness and distraction have been important factors in a large number of accidents because they reduce driver perception level and decision making capability, which negatively affect the ability to control the vehicle. One way to reduce these kinds of accidents would be through monitoring driver and driving behavior and alerting the driver when they are drowsy or in a distracted state. In addition, if it were possible to predict unsafe driving behavior in advance, this would also contribute to safe driving. In this chapter, we will discuss various monitoring methods for driver and driving behavior as well as for predicting unsafe driving behaviors. In respect to measurement methods of driver drowsiness, we discussed visual and non-visual features of driver behavior, as well as driving performance behaviors related to vehicle-based features. Eye related measurements such as PERCLOS, yawning detection and some limitations in measuring visual features are discussed in detail. As for non-visual features, we explore various physiological signals and possible drowsiness detection methods that use these signals. As for vehicle-based features, we describe steering wheel movement and the standard deviation of lateral position. To detect driver distraction, we describe head pose and gaze direction methods. To predict unsafe driving behavior, we explain predicting methods based on facial expressions and car dynamics. Finally, we discuss several issues to be tackled for active driver safety systems. They are (1) hybrid measures for drowsiness detection, (2) driving context awareness for safe driving, (3) the necessity for public data sets of simulated and real driving conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Monitoring Driver’s State and Predicting Unsafe Driving Behavior


    Contributors:

    Published in:

    Publication date :

    2014-06-29


    Size :

    19 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Study on Driver's Unsafe Gaze Behavior Detection Technology

    Wang, Peng / Liu, Zhi-Qiang | Tema Archive | 2013


    UNSAFE DRIVING PREDICTING DEVICE

    MUTO KENJI | European Patent Office | 2019

    Free access



    DRIVER'S STATE MONITORING DEVICE

    YAMASHITA TOMOYA | European Patent Office | 2020

    Free access