Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning

This study proposed a method for generating and merging hybrid point cloud data acquired from laser scanning and unmanned aerial vehicles -based image processing

Daeyoon Moon; Suwan Chung; Soonwook Kwon; Jongwon Seo; Joonghwan Shin

2018

Scholarcy highlights

  • Inaccurate information regarding the terrain in construction projects represents a major challenge to the earthwork process
  • Both construction quality and productivity have to be addressed by means of efficient construction information management in large earthwork projects in order to improve the cost-effectiveness of such projects
  • This study proposed a method for generating and merging hybrid point cloud data acquired from laser scanning and unmanned aerial vehicles-based image processing
  • A comparison was conducted between the datasets acquired from laser scanning and image processing, using examples from some case studies
  • An analytical comparison was performed to verify the accuracy of the UAV-based image processing technology for earthwork projects

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