This study developed a contactless and automated technique to estimate hot-mix asphalt pavement surface friction by combining computer vision image–based 3D reconstruction with machine learning. Existing continuous friction estimation equipment, including high-speed laser scanners, are costly to purchase and operate—li...
Imad L. Al-Qadi, M. Golparvar-Fard, Mohammad Fakhreddine et al.· 0 citations
This report evaluates the potential role of camera-equipped unmanned aerial systems (UAS) as well as other forms of reality-mapping solutions in supporting bridge inspection practices for the Illinois Department of Transportation (IDOT). Traditional bridge inspections can require substantial labor, specialized access e...
Yu-Xiang Zhao, M. Golparvar-Fard, L. Fahnestock et al.· 0 citations
DrawingVQA, the first benchmark designed to evaluate multimodal large language models (MLLMs) on real-world construction drawings, lays a foundation for domain-specialized multimodal reasoning to allow for advancement on integration of AI-driven understanding and real-world engineering workflows
Yoon Wha Jung, Junryu Fu, M. Golparvar-Fard· arXiv.org· 1 citation
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