Correction of inertial navigation system's errors by the help of video-based navigator based on Digital Terrarium Map

This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevation) Map (DTM/DEM). More specifically, it has been shown that the optical flow derived from two consecutive camera frames c...

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Bibliographic Details
Published in:arXiv.org 2013-03
Main Authors: Kupervasser, Oleg, Rubinstein, Alexander
Format: Article
Language:English
Subjects:
Algorithms
Autonomous navigation
Cameras
Computer simulation
Digital Elevation Models
Digital imaging
Error analysis
Image acquisition
Image reconstruction
Inertial navigation
Navigation systems
Optical flow (image analysis)
Terrain
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Summary:This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevation) Map (DTM/DEM). More specifically, it has been shown that the optical flow derived from two consecutive camera frames can be used in combination with a DTM to estimate the position, orientation and ego-motion parameters of the moving camera. As opposed to previous works, the proposed approach does not require an intermediate explicit reconstruction of the 3D world. In the present work the sensitivity of the algorithm outlined above is studied. The main sources for errors are identified to be the optical-flow evaluation and computation, the quality of the information about the terrain, the structure of the observed terrain and the trajectory of the camera. By assuming appropriate characterization of these error sources, a closed form expression for the uncertainty of the pose and motion of the camera is first developed and then the influence of these factors is confirmed using extensive numerical simulations. The main conclusion of this paper is to establish that the proposed navigation algorithm generates accurate estimates for reasonable scenarios and error sources, and thus can be effectively used as part of a navigation system of autonomous vehicles.
ISSN:2331-8422
DOI:10.48550/arxiv.1304.7217