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.
|Number of pages||4|
|Publication status||Published - 2017|
|Event||34th International Symposium on Automation and Robotics in Construction, ISARC 2017 - Taipei, Taiwan, Province of China|
Duration: 2017 Jun 28 → 2017 Jul 1
|Other||34th International Symposium on Automation and Robotics in Construction, ISARC 2017|
|Country||Taiwan, Province of China|
|Period||17/6/28 → 17/7/1|
Bibliographical noteFunding Information:
This work was supported by grants from the National Research Foundation of Korea (NRF), funded by the Korea government (MSIP) (NRF-2014R1A2A1A11052499 and No. 2011-0030040).
All Science Journal Classification (ASJC) codes
- Building and Construction
- Computer Vision and Pattern Recognition
- Artificial Intelligence