Video capturing technique is useful for detecting driver's visual behavior and their intent to perform a driving task. Video analysis helps in understanding driver intentions and roadway distractions by looking at the driver's eye positions while s/he is performing his primary and/or secondary driving task. Conducting research on a driver simulator is preferred by many researchers as it provides a safe environment to analyze various roadway conditions. In this study, driver simulator is used to collect data from ten subjects (7 males and 3 females) to determine whether eye glance behavior is affected by secondary tasks while driving. Subjects are instructed to drive in a highway scenario with three co-passengers in the car and also alone, while changing lanes whenever possible. Eye glance of the driver is observed for 90 seconds for each scenario and the compared result implies that driving with co passengers increased eye glance rapidly. An overall average frequency of 0.1145 is obtained based on the number of times a subject actually changed lanes and number of glances in 90 seconds in both scenarios. Based on this frequency, an algorithm is designed to predict driver's intention to change lanes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Eye-Glance Frequency as a Function of Driver's Intent to Change Lanes


    Contributors:


    Publication date :

    2018-08-01


    Size :

    748178 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    System for predicting a driver's intention to change lanes

    BONE SVEN / WINNER HERMANN / HABENICHT STEFAN et al. | European Patent Office | 2015

    Free access

    SYSTEM FOR PREDICTING A DRIVER'S INTENTION TO CHANGE LANES

    BONE SVEN / WINNER HERMANN / HABENICHT STEFAN et al. | European Patent Office | 2016

    Free access


    Driver's Glance Behaviour and Secondary Tasks

    Schweigert, M. / Bubb, H. / VDI | British Library Conference Proceedings | 2003