Evidence-theoretic multi-sensor fusion with spatial semantic coupling for real-time hazard assessment in dynamic construction environments

Short summary

A new framework fuses multi-sensor data using a credibility-weighted Jousselme distance scheme and a 3D spatial-semantic risk model, achieving an F1-score of 0.862 and reducing miss rates by 33% in construction hazard assessment.

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