The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 55–62, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-55-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 55–62, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-55-2020

  12 Aug 2020

12 Aug 2020

POSE ESTIMATION OF A MOVING CAMERA WITH LOW-COST, MULTI-GNSS DEVICES

M. Lourakis1, M. Pateraki1, I.-A. Karolos2, C. Pikridas2, and P. Patias2 M. Lourakis et al.
  • 1Institute of Computer Science, Foundation for Research and Technology – Hellas, Heraklion, Greece
  • 2School of Rural & Surveying Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Keywords: pose, georeferencing, exterior orientation, absolute orientation, multi-GNSS, RTK

Abstract. Without additional prior information, the pose of a camera estimated with computer vision techniques is expressed in a local coordinate frame attached to the camera’s initial location. Albeit sufficient in many cases, such an arbitrary representation is not convenient for employment in certain applications and has to be transformed to a coordinate system external to the camera before further use. Assuming a camera that is firmly mounted on a moving platform, this paper describes a method for continuously tracking the pose of that camera in a projected coordinate system. By combining exterior orientation from a known target with incremental pose changes inferred from accurate multi-GNSS positioning, the full 6 DoF pose of the camera is updated with low processing overhead and without requiring the continuous visual tracking of ground control points. Experimental results of applying the proposed method to a moving vehicle and a mobile port crane are reported, demonstrating its efficacy and potential.