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Enhancing building product inventory automation through a hybrid spatial-semantic modeling framework
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DOI：10.1016/j.dibe.2026.100992.png)
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Abstract
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• Hybrid framework decoupling spatial and semantic reasoning for automated indoor audits. • Novel multi-modal building product dataset with ground-truth labels for benchmarks. • Standardized inventory outputs integrated with building product classification codes. • Expert-in-the-loop validation through an interactive spatial-semantic dashboard. • Scalable AI-assisted building audits for circular construction in real-world environ- ments.
Keywords:
Object detection
Vision-language model
Expert-in-the-loop
Building product dataset
Circular construction
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