Integration of imaging and simulation for earthmoving productivity analysis

Hongjo Kim, Seongdeok Bang, Hoyoung Jeong, Youngjib Ham, Hyoungkwan Kim

Research output: Contribution to conferencePaper

Abstract

Earthwork productivity varies depending on a unique geologic condition, types of earthwork equipment, and an equipment allocation plan. For this reason, it is difficult to accurately estimate the productivity of an earthwork. To address this issue, this paper develops an imaging-to-simulation method in which a real jobsite data is automatically collected and used for analyzing the earthwork productivity. Object existence and its location in image data are identified by convolutional networks, and they are used to infer the earthwork context. The context information is transformed into the simulation input by the context reasoning processes. A productivity report is produced by using the WebCYCLONE simulation. The developed method was tested in a tunnel construction site, providing a new equipment allocation plan, which minimize the cost and time compared with the original plan.

Original languageEnglish
Publication statusPublished - 2018 Jan 1
Event35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany
Duration: 2018 Jul 202018 Jul 25

Other

Other35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
CountryGermany
CityBerlin
Period18/7/2018/7/25

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Building and Construction

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    Kim, H., Bang, S., Jeong, H., Ham, Y., & Kim, H. (2018). Integration of imaging and simulation for earthmoving productivity analysis. Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany.