Visibility Calculation from Video Images Using Different Techniques

Gransberg, D. D.; Senadheera, S.; Culvalci, O.; Green, B.; Gilman, A.; Alvarez, J.

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Visibility Calculation from Video Images Using Different Techniques

1998-01-01
By Gransberg, D. D. ; Senadheera, S. ; Culvalci, O.

File Language:

English

Details

Creators:

Gransberg, D. D. ; Senadheera, S. ; Culvalci, O. ; Green, B. ; Gilman, A. ; Alvarez, J.
Corporate Creators:

Texas Tech University. Department of Engineering Technology
Corporate Contributors:

Texas Department of Transportation. Research and Technology Implementation Office
Subject/TRT Terms:
Publication/ Report Number:

TX-97 /0-1704-4R
Resource Type:

Tech Report
Geographical Coverage:

United States ; Texas
Edition:

Interim: April 1997- August 1997
Corporate Publisher:

Texas Tech University. Department of Engineering Technology
Abstract:

Four different calculation methods were performed to determine the contrast of an STV target between illuminance assemblies mounted on poles: STV (small target visibility), STV with n points, STV by comparing the areas, and STV by patching. These experiments were performed under the original site conditions and after all the luminaire heads were replaced with new 250-Watt luminaires. The original conditions consisted of a combination of 250 Watt and 400-Watt lamps. Before replacing the luminaire heads, the target had 40% contrast. After replacing the luminaires with the 250-Watt luminaire heads, contrast increased to 85%. STV by patching was the least preferred method, and STV by comparing the areas was the second least preferred method for contrast calculation. STV was a poor method to calculate the contrast because of the small number of data points used for calculation.
Format:

PDF
Funding:

0-1704-4
Download URL:

https://rosap.ntl.bts.gov/view/dot/86446/dot_86446_DS1.pdf
File Type:

[PDF - 1.17 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:660fdab53fa823febd05095da34ab2f20fbe5c415dcb2297d0c0e43468c04975216ec234cce0e9a50f5203d2289616a178ebb10263a9d325ff7cbb250d7824aa

File Language:

English

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