File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

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

Author(s)
Lim, Ji HyounTsimhoni, OmerLiu, Yili
Issued Date
2010-09
DOI
10.1109/TITS.2010.2049843
URI
https://scholarworks.unist.ac.kr/handle/201301/17226
Fulltext
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5477182
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.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
1524-9050

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.