Applicability Assessment of Disaster Rapid Mapping: Focused on Fusion of Multi-sensing Data Derived from UAVs and Disaster Investigation Vehicle

재난조사 특수차량과 드론의 다중센서 자료융합을 통한 재난 긴급 맵핑의 활용성 평가

Kim, Seongsam;Park, Jesung;Shin, Dongyoon;Yoo, Suhong;Sohn, Hong-Gyoo

  • Received : 2019.10.09
  • Accepted : 2019.10.19
  • Published : 2019.10.31


The purpose of this study is to strengthen the capability of rapid mapping for disaster through improving the positioning accuracy of mapping and fusion of multi-sensing point cloud data derived from Unmanned Aerial Vehicles (UAVs) and disaster investigation vehicle. The positioning accuracy was evaluated for two procedures of drone mapping with Agisoft PhotoScan: 1) general geo-referencing by self-calibration, 2) proposed geo-referencing with optimized camera model by using fixed accurate Interior Orientation Parameters (IOPs) derived from indoor camera calibration test and bundle adjustment. The analysis result of positioning accuracy showed that positioning RMS error was improved 2~3 m to 0.11~0.28 m in horizontal and 2.85 m to 0.45 m in vertical accuracy, respectively. In addition, proposed data fusion approach of multi-sensing point cloud with the constraints of the height showed that the point matching error was greatly reduced under about 0.07 m. Accordingly, our proposed data fusion approach will enable us to generate effectively and timelinessly ortho-imagery and high-resolution three dimensional geographic data for national disaster management in the future.


UAVs;drone mapping;Light Detection And Ranging(LiDAR);multi-sensing data integration;disaster management


Grant : 재난원인 현장감식 기술개발

Supported by : 국립재난안전연구원