Vision-based 2D map generation for monitoring construction sites using UAV videos

Seongdeok Bang, Hongjo Kim, Hyoungkwan Kim

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

This paper presents a system to generate a 2D map using unmanned aerial vehicles (UAV) videos. The system can process the collected images for lens distortion, unstable flight, and image redundancy. The system is demonstrated using an UAV video captured on road construction site in Namyangju city, Korea. The experimental result is a high-resolution 2D map of which resolution is 6010 by 9465. This study is expected to help site managers understand site conditions and make a decision timely in diverse construction sites.

Original languageEnglish
Pages830-833
Number of pages4
DOIs
Publication statusPublished - 2017
Event34th International Symposium on Automation and Robotics in Construction, ISARC 2017 - Taipei, Taiwan, Province of China
Duration: 2017 Jun 282017 Jul 1

Other

Other34th International Symposium on Automation and Robotics in Construction, ISARC 2017
CountryTaiwan, Province of China
CityTaipei
Period17/6/2817/7/1

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Bang, S., Kim, H., & Kim, H. (2017). Vision-based 2D map generation for monitoring construction sites using UAV videos. 830-833. Paper presented at 34th International Symposium on Automation and Robotics in Construction, ISARC 2017, Taipei, Taiwan, Province of China. https://doi.org/10.22260/isarc2017/0116