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Age-related field study for determination of the 95%-detectability of objects under peripheral vision conditions

Schneider, Katharina and Kobbert, Jonas and Khanh, Tran Quoc :
Age-related field study for determination of the 95%-detectability of objects under peripheral vision conditions.
In: 2017 IEEE Intelligent Vehicles Symposium (IV), 11. - 14. Juni 2017, Los Angeles, California, USA. Proceedings of the IEEE Intelligent Vehicles Symposium (IV 2017)
[Conference or Workshop Item] , (2017)

Abstract

The visual tasks consist in perception of presence (detection) of targets. If the luminance of the object to be detected is high enough to achieve 95% detection probability at a distance that is longer than the stopping distance of the vehicle accidents can be avoided. Two different target shapes that occur in road traffic situations are observed in a field study under different eccentricity angles. Two measurement methods, static and dynamic, were developed for determining the visibility distance. Results for the visibility distance based on increment detection contrast are discussed.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Schneider, Katharina and Kobbert, Jonas and Khanh, Tran Quoc
Title: Age-related field study for determination of the 95%-detectability of objects under peripheral vision conditions
Language: English
Abstract:

The visual tasks consist in perception of presence (detection) of targets. If the luminance of the object to be detected is high enough to achieve 95% detection probability at a distance that is longer than the stopping distance of the vehicle accidents can be avoided. Two different target shapes that occur in road traffic situations are observed in a field study under different eccentricity angles. Two measurement methods, static and dynamic, were developed for determining the visibility distance. Results for the visibility distance based on increment detection contrast are discussed.

Title of Book: Proceedings of the IEEE Intelligent Vehicles Symposium (IV 2017)
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design > Light Technology
Event Title: 2017 IEEE Intelligent Vehicles Symposium (IV)
Event Location: Los Angeles, California, USA
Event Dates: 11. - 14. Juni 2017
Date Deposited: 12 Feb 2018 13:35
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