Paper
11 April 2013 Real-world application and validation of vehicle-mounted pavement inspection system
David M. Vines-Cavanaugh, Ming L. Wang, J. Gregory McDaniel
Author Affiliations +
Abstract
Pavement condition surveys are typically done manually by inspection teams. They can be expensive and can take several months to complete. This paper considers a vehicle-mounted pavement inspection system that aims to be more affordable and faster than manual surveys. The system is comprised of a vehicle outfitted with a multi-modal sensor array that includes accelerometers, microphones, radar, tire pressure, and video. In a first step, each channel is processed individually to extract parameters related to friction, roughness, and distress. The second step applies data fusion concepts to combine all sensor data into a single pavement condition value. This paper elaborates on the system and describes a real-world field test. The primary contribution is a proof-of-concept for the system by comparing field test results to those from a conventional manual survey.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David M. Vines-Cavanaugh, Ming L. Wang, and J. Gregory McDaniel "Real-world application and validation of vehicle-mounted pavement inspection system", Proc. SPIE 8694, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013, 869408 (11 April 2013); https://doi.org/10.1117/12.2012268
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Data fusion

Roads

Inspection

Fourier transforms

Visualization

Data processing

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