Title :
Investigation of Driver Performance With Night Vision and Pedestrian Detection Systems—Part I: Empirical Study on Visual Clutter and Glance Behavior
Author :
Lim, Ji Hyoun ; Tsimhoni, Omer ; Liu, Yili
Author_Institution :
Dept. of Ind. & Oper. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
This paper describes two studies in which two night-vision 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.
Keywords :
driver information systems; image enhancement; night vision; driver performance investigation; driving simulator; glance behavior; night-vision enhancement system; pedestrian detection system; visual clutter; Finite impulse response filter; Helium; Image edge detection; Infrared detectors; Infrared imaging; Layout; Night vision; Object detection; Power measurement; Probability; Clutter metric; far infrared (FIR); near infrared (NIR); night vision; pedestrian detection;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2010.2049843