Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture
Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering. Despite its potential for pavement condition assessment, the large-scale application of GPR in automated inspection has two key challenges: the scarcity of annotated real-world datasets and the lack of deep learning models designed for the unique characteristics of 3-Dimensional (3D) GPR data. This study addresses these limitations by firstly introducing a cost-effective data preparation pipeline that integrates orthomosaic Red Green Blue (RGB
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- FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo →
“Fuzzy title match (0.73): “Image-Guided Pavement Defect Recognition in GPR Data with no” ≈ “Tongyi-MAI/Z-Image-Turbo””
- PossiblePossibly related (embedding) · 49%Poly R-CNN: Efficient large-scale boundary-regularized building footprint extraction from remote sensing images - Springer Nature Link →
- PossiblePossibly related (embedding) · 47%Machine Learning in Geology: Key Data and Modeling Challenges - AZoMining →
- PossiblePossibly related (embedding) · 46%Improving subsurface characterization in tropical granitic terrains using machine learning and deep learning-enhanced resistivity–chargeability modeling - Nature →
- FuzzySimilar title/name (fuzzy) · 87%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.94): “Image-Guided Pavement Defect Recognition in GPR Data with no” ≈ “aymericdamien/TopDeepLearning””
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Yuandong Pan →
“Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture”