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Lim, Ji Hyoun
Intelligent Interaction Lab
Research Interests
  • Computational Cognitive Model, Semantic Network Analysis, Human Robot Interaction

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Investigation of driver performance with night vision and pedestrian detection systems, Part 1: Empirical study on visual cluster and search behavior

Cited 16 times inthomson ciCited 18 times inthomson ci
Title
Investigation of driver performance with night vision and pedestrian detection systems, Part 1: Empirical study on visual cluster and search behavior
Author
Lim, Ji HyounTsimhoni, OmerLiu, Yili
Keywords
DETECTION PROBABILITY; INFRARED IMAGES; Clutter metric; far infrared (FIR); near infrared (NIR); night vision; pedestrian detection
Issue Date
2010-09
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.11, no.3, pp.670 - 677
Abstract
This paper describes two studies in which two nightvision 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.
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DOI
10.1109/TITS.2010.2049843
ISSN
1524-9050
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DHE_Journal Papers
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