Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:10.40em"/><col style="width:9.23em"/><col style="width:8.31em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Class</td><td class="align_center">Glance location (%)</td><td class="align_center">Combination (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Driving scenarios</td><td class="align_center">89.3</td><td class="align_center">90.2</td></tr><tr><td class="align_left">Eyes-off-road duration</td><td class="align_center">86.2</td><td class="align_center">92.7</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Classification accuracies of driving scenario identification and eyes-off-road duration prediction using visual features of glance location and combination of glance location and duration.</div>

Discrete Dynamics in Nature and Society

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Table 2

Table 2: Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios 