A Study on the Improvement of UAV based 3D Point Cloud Spatial Object Location Accuracy using Road Information

도로정보를 활용한 UAV 기반 3D 포인트 클라우드 공간객체의 위치정확도 향상 방안

Lee, Jaehee;Kang, Jihun;Lee, Sewon

  • Received : 2019.10.16
  • Accepted : 2019.10.23
  • Published : 2019.10.31


Precision positioning is necessary for various use of high-resolution UAV images. Basically, GCP is used for this purpose, but in case of emergency situations or difficulty in selecting GCPs, the data shall be obtained without GCPs. This study proposed a method of improving positional accuracy for x, y coordinate of UAV based 3 dimensional point cloud data generated without GCPs. Road vector file by the public data (Open Data Portal) was used as reference data for improving location accuracy. The geometric correction of the 2 dimensional ortho-mosaic image was first performed and the transform matrix produced in this process was adopted to apply to the 3 dimensional point cloud data. The straight distance difference of 34.54 m before the correction was reduced to 1.21 m after the correction. By confirming that it is possible to improve the location accuracy of UAV images acquired without GCPs, it is expected to expand the scope of use of 3 dimensional spatial objects generated from point cloud by enabling connection and compatibility with other spatial information data.


UAV;3D point cloud;location accuracy;transform matrix;3D spatial object


Grant : 수요처 맞춤형 실감형 3D 공간정보 갱신 및 활용지원 기술개발

Supported by : 국토교통부