Document Type

Thesis - University Access Only

Award Date

2010

Degree Name

Master of Science (MS)

Department / School

Civil and Environmental Engineering

Abstract

Gravel roads are low cost roads mainly located in rural areas that experiences seasonal variations in traffic volumes with significantly higher flows occurring around harvest time. This novel study researches the use of the Unmanned Aerial Vehicle (UA V) as a road data collection platform, to identify and quantify road condition parameters. The study took place in three test sections in Brookings, South Dakota. Physical measurements of road features were taken to establish the existing road condition of the test sections using the Field Measurement method. The UAV attached with image acquisition system was flown over the test sections. Similar road features were measured from UA V acquired images using image processing software (UA V method). The average values of the feature measurements from both the methods were compared. The result reveals the average accuracy of the UAV method is 12.4% in comparison to the Field Measurement method. This makes the UAV method a unique alternative to the Field Measurement method as the current method is laborious and affected by operator efficiency.

Library of Congress Subject Headings

Gravel roads -- Maintenance and repair -- Data processing -- Evaluation

Drone aircraft

Format

application/pdf

Number of Pages

226

Publisher

South Dakota State University

Download

Share

COinS