Accuracy Analysis of Low-cost UAV Photogrammetry for Road Sign Positioning

Hongki Sung, Kyusoo Chong, Chang No Lee

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The road sign location information installed on national roads is continuously updated using MMS (Mobile Mapping System) technology. It is possible to map accurate road facilities by MMS, but the equipment is very expensive and requires specialized technology. Also, the accuracy of the position of the object greatly depends on the GPS (Global Positioning System) accuracy. In the case of road facility mapping, the advantage of drone is more remarkable than that of field survey or conventional aerial photogrammetry. In particular, it is more efficient than field surveying and it is possible to acquire high resolution images with low budget compared to conventional aerial photogrammetry. In this study, the accuracy of the location information measured by the existing MMS is compared with the GPS survey result and the accuracy analysis is performed by the drone aerial photogrammetry. In order to confirm the space accuracy that can be obtained when conducting drone aerial photogrammetry, the accuracy of the change in the number of ground control points and the degree of overlap was evaluated. As a result of the experiment, it was possible to obtain sufficient accuracy with two ground control points distributed at both ends of the road and 60% overlap.

Original languageEnglish
Pages (from-to)243-251
Number of pages9
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Volume37
Issue number4
DOIs
StatePublished - 2019

Keywords

  • Accuracy
  • Drone
  • Photogrammetry
  • Road Sign

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