Study on Obtaining High-precision Velocity Parameters of Visual Autonomous Navigation Method Considering Lens Distortion

DOI

10.2991/icismme-15.2015.409How to use a DOI?

Keywords

Visual navigation; Pyramid LK optical flow method; Lens distortion; Kalman filter

Abstract

Acquisition of velocity parameter in visual navigation is an important part in autonomous navigation, and its accuracy can directly impact whether this navigation is good or bad. This paper focuses on the study of the velocity parameters accuracy in the pyramid LK optical flow method of visual navigation, introduces the acquisition method of velocity parameters in visual navigation based on pyramid LK optical flow, on the basis of this, corrects the lens distortion, and uses the Kalman filter optimal estimation. The experimental results proves that this method can get a good result and improve the accuracy significantly of velocity parameters.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Han Zhou
AU  - Qinghua Li
AU  - Hongwei Li
PY  - 2015/07
DA  - 2015/07
TI  - Study on Obtaining High-precision Velocity Parameters of Visual Autonomous Navigation Method Considering Lens Distortion
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1986
EP  - 1990
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.409
DO  - 10.2991/icismme-15.2015.409
ID  - Zhou2015/07
ER  -