Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition-Reference-Cited by-同舟云学术

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Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition

Published:2023-02 Issue: Volume:146 Page:104702
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Chen Chen,Xiao Bo,Zhang Yuxuan,Zhu Zhenhua

Funder

Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference47 articles.

1. Application of low-cost accelerometers for measuring the operational efficiency of a construction equipment fleet;Ahn;J. Comput. Civ. Eng.,2015

2. Server-customer interaction tracker: computer vision–based system to estimate dirt-loading cycles;Rezazadeh Azar;J. Constr. Eng. Manag.,2013

3. Construction performance monitoring via still images, time-lapse photos, and video streams: now, tomorrow, and the future;Yang;Adv. Eng. Inform.,2015

4. Application of integrated GPS and GIS technology for reducing construction waste and improving construction efficiency;Li;Autom. Constr.,2005

5. Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments;Cheng;Autom. Constr.,2011

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