MLS-based recognition and parameter extraction of roadway roof bolts/cables from 3D point clouds

Key Points

• Parameter extraction identified roadway bolts and cables with high accuracy, enhancing safety measures.
• Data analysis on 3D point clouds achieved over 90% recognition accuracy for bolts and cables.
• Development focused on machine learning systems for efficient identification in complex environments.
• This method may enable safer roadway constructions and inspections through advanced technological applications.