Posts

Ergonomic risk assessments have been increasingly adopted in construction projects to protect worker health, prevent accidents, and organize production schedules. Vision-based ergonomic risk assessment methods are widely applied in construction scenarios due to their cost-effectiveness and non-invasive.

This paper proposes joint-level scoring models using Heuristics Gaussian Cloud Transformation (H-GCT) and proposes a fuzzy inference mechanism for improving the ergonomic assessment accuracy.

This paper seeks to improve V-SLAM localization in uneven low-light construction sites.

This paper seeks to understand worker’s intentions.

This paper aims to reconstruct IFC-based BIM from 2D MEP drawings.