Volume XLII-2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 355-361, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 355-361, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 May 2018

30 May 2018

POSITION ACCURACY ANALYSIS OF A ROBUST VISION-BASED NAVIGATION

S. Gaglione1, S. Del Pizzo1, S. Troisi1, and A. Angrisano2 S. Gaglione et al.
  • 1Department of Science and Technology, University of Naples Parthenope, Napoli, Italy
  • 2G. Fortunato University, Benevento, Italy

Keywords: Navigation, Space Resection, 3D map

Abstract. Using images to determine camera position and attitude is a consolidated method, very widespread for application like UAV navigation. In harsh environment, where GNSS could be degraded or denied, image-based positioning could represent a possible candidate for an integrated or alternative system. In this paper, such method is investigated using a system based on single camera and 3D maps. A robust estimation method is proposed in order to limit the effect of blunders or noisy measurements on position solution. The proposed approach is tested using images collected in an urban canyon, where GNSS positioning is very unaccurate. A previous photogrammetry survey has been performed to build the 3D model of tested area. The position accuracy analysis is performed and the effect of the robust method proposed is validated.