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Development of Integrative Methodologies for Effective Excavation Progress Monitoring.

Abdullah Rasul1, Jaho Seo1, Amir Khajepour2

  • 1Department of Automotive and Mechatronics Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, Canada.

Sensors (Basel, Switzerland)
|January 12, 2021
PubMed
Summary

This study introduces advanced technologies for automated excavation, improving sensing and productivity. It presents methods for volume estimation, occlusion detection, and 5D mapping for better construction progress monitoring.

Keywords:
5D mappingLiDARbucket volume estimationconvolutional neural networkexcavation progressground volume estimationocclusion areaproprioceptive and exteroceptive sensorsstereo vision camera

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