Activity Recognition of Construction Equipment Using Generated Sound Data
Author:
Affiliation:
1. Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT.
2. Dept. of Civil Engineering, Merrimack College, North Andover, MA.
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784483893.027
Reference23 articles.
1. Activity analysis of construction equipment using audio signals and support vector machines
2. Automated content-based filtering for enhanced vision-based documentation in construction toward exploiting big visual data from drones
3. Analyzing Potential Risk of Wind-Induced Damage in Construction Sites and Neighboring Communities Using Large-Scale Visual Data from Drones
4. Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites
5. Vision-based workface assessment using depth images for activity analysis of interior construction operations
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