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Dynamic identification of crane load fall zone: A computer vision approach

  • Published:2022-12 Issue: Volume:156 Page:105904
  • ISSN:0925-7535
  • Container-title:Safety Science
  • language:en
  • Short-container-title:Safety Science

Author:

Chian Eugene Yan Tao,Goh Yang Miang,Tian Jing,Guo Brian H.W.

Funder

Housing and Development Board Singapore

National Research Foundation Singapore

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality,Building and Construction

Reference50 articles.

1. Towards risk assessment for crane activities;Aneziris;Saf. Sci.,2008

2. Real-time 3D crane workspace update using a hybrid visualization approach;Chen;J. Comput. Civil Eng.,2017

3. Modeling tower crane operator visibility to minimize the risk of limited situational awareness;Cheng;J. Comput. Civil Eng.,2014

4. Computer vision approaches for detecting missing barricades;Chian;Autom. Constr.,2021

5. Chilamkurthy, S., 2021. chsasank/Image-Rectification.

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