Computer vision and point cloud-driven structural damage detection
AI, computer vision, point clouds, UAVs, UGVs, and digital twin technologies for rapid, automated structural damage inspection and performance assessment.
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Research project overview
The research projects at the MVSI lab have been funded by several major research grants in Hong Kong, mainland China, and Canada, with the emphasis on the following directions:
- Computer vision, point cloud-driven structural surface damage detection
- Computer vision and multimodal reasoning for automated engineering drawing parsing
- Construction automation, including site-specific monitoring and robotic installation methods
- Design, testing, and performance assessment of innovative modular structures and energy-dissipation devices under earthquake and wind loads
Construction automation, including site-specific monitoring and robotic installation methods
Computer vision, point cloud monitoring, robotized construction machinery, path planning, control, and robotic installation workflows for smarter construction.
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Computer vision and multimodal reasoning for automated engineering drawing parsing
Vision-language models and computer vision pipelines for automated understanding of engineering drawings, tables, views, components, and annotations.
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Innovative structural components and energy-dissipation devices
Digital twin-aided testing, scan-to-model FE modelling, innovative damping devices, and seismic performance assessment of structural components and systems.
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