[20-10] DEVELOPMENT OF DRONE-ASSISTED PAVEMENT PROFILE MAPPING: NEAR-SURFACE VOID DETECTION APPLICATION.
PI: Javier Irizarry
Co-PI(s): Tarek Rakha
Institution(s): Georgia Institute of Technology
Abstract
Near-surface voids can develop into potholes and spalling causing potential driving hazards. A UAS with dual camera sensors can efficiently collect infrared (IR) and visual (RGB) images. This research studied the application of Computer Vision and Deep Learning to analyze UAV-collected multi-spectrum images to detect areas with voids beneath pavement surfaces.
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