Development of image-based assistant algorithm for vehicle positioning by detecting road facilities

Jinwoo Jung, Jay Hyoun Kwon, Yong Lee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Due to recent improvements in computer processing speed and image processing technology, researches are being actively carried out to combine information from a camera with existing GNSS (Global Navigation Satellite System) and dead reckoning. In this study, the mathematical model based on SPR (Single Photo Resection) is derived for image-based assistant algorithm for vehicle positioning. Simulation test is performed to analyze factors affecting SPR. In addition, GNSS/on-board vehicle sensor/image based positioning algorithm is developed by combining image-based positioning algorithm with existing positioning algorithm. The performance of the integrated algorithm is evaluated by the actual driving test and landmark’s position data, which is required to perform SPR, based on simulation. The precision of the horizontal position error is 1.79m in the case of the existing positioning algorithm, and that of the integrated positioning algorithm is 0.12m at the points where SPR is performed. In future research, it is necessary to develop an optimized algorithm based on the actual landmark’s position data.

Original languageEnglish
Pages (from-to)339-347
Number of pages9
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Issue number5
StatePublished - Oct 2017


  • Machine learning
  • Object detection
  • Road facilities
  • Sensor fusion
  • Single photo resection
  • Vehicle positioning


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