Detecting Subsurface Voids in Roadways Using UAS with Infrared Thermal Imaging
-
2022-02-01
-
Details:
-
Creators:
-
Corporate Creators:
-
Contributors:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report February 2022 (November2022-February 2022)
-
Corporate Publisher:
-
Abstract:The failure of culverts and drainage piping underneath roadways creates sinkholes that represent a safety hazard to the traveling public and result in costly repairs and traffic inconveniences. The ability to detect voids before pavement collapse occurs is crucial for maintenance and replacement purposes. Routine inspections of culverts are hard to perform and require expensive and time-consuming techniques such as drain cameras or ground penetrating radar. This research validates a new method to detect roadway subsurface voids based on infrared (IR) imaging combined with unmanned aerial system surveying. Laboratory and field tests were necessary to develop mission-critical information that marked IR imaging’s current performance and solved issues that characterized this technique. Advanced image post-processing techniques were also developed to improve the detection accuracy of IR imaging, showing that thermal photogrammetry can detect roadway subsurface voids that are representative of failing culverts and drainage pipes. This research developed a more accurate nondestructive evaluation approach for assessing the conditions of real-world underground structures that are crucial for their inspection, maintenance, and management.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: