As construction sites increase in size, it becomes more difficult for a manager to understand the status of the site on time. However, with the development of unmanned aerial vehicles (UAVs), it is possible to collect a large amount of visual data of the construction site in a short time. Using this data, a large-scale construction site can be monitored in a timely and frequent manner with computer vision technologies. This paper proposes a method to generate a panorama of a construction site by using an image stitching technique with a focus on preprocessing. To create high-quality panoramas, blurred frames of videos are filtered out, key frames are selected, and camera lens distortion is corrected. The proposed method produced a high-quality panorama of a construction site, which was evaluated by comparing it with an aerial photograph and the panorama produced by the existing image stitching technique. The proposed method is expected to help managers to easily identify various construction site conditions with the help of high-quality image data.
Bibliographical noteFunding Information:
This research was supported by grants ( 17CTAP-C133290-01 ) from Infrastructure and Transportation Technology Promotion Research Program funded by Ministry of Land, Infrastructure and Transport (MOLIT) of Korean government and Korea Agency for Infrastructure Technology Advancement (KAIA) and by National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (No. 2011-0030040 ). The authors would like to thank SK Engineering and Construction for granting access to the construction site of the subway project.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction