Investigation of driver performance with night vision and pedestrian detection systems: part I: empirical study on visual clutter and glance behavior

Authors:
Ji Hyoun Lim;Omer Tsimhoni;Yili Liu
Affiliations:
Mobile Communication Division, Samsung Electronics, Seoul, Korea and Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI;General Motors Advanced Technical Center-Israel, Herzliya, Israel and University of Michigan Transportation Research Institute and Department of Industrial and Operations Engineering, University o ...;Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI
Venue:
IEEE Transactions on Intelligent Transportation Systems
Year:
2010

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Abstract

This paper describes two studies in which two night-visions enhancement systems were examined to compare nighttime driver performance in pedestrian detection. In the first study, the levels of clutter in the images displayed by the two types of night-vision enhancement systems were measured objectively and subjectively. The subjective ratings of clutter changed as a power function of the objective measure of clutter intensity. In the second study, the effect of clutter on glance behavior during pedestrian detection was examined in a driving simulator. Night-vision images with less clutter required shorter search times and fewer glances to detect the pedestrian, but the duration of each glance remained relatively constant.