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Robot mapping algorithm based on Kalman filtering and symbolic tags
Author(s): A. Vokhmintcev; T. Botova; I. Sochenkov; A. Sochenkova; A. Makovetskii
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Paper Abstract

A new method will be developed in the present work of the detection of a robot's position in a relative coordinate system based on a history of camera positions and the robot's movement, symbolic tags and on combining obtained three-dimensional depth maps that account for accuracy of their superimposition and geometric relationships between various images of the same scene. It is expected that this approach will enable one to develop a fast and accurate algorithm for localization in unknown dynamic environment.

Paper Details

Date Published: 19 September 2017
PDF: 6 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962I (19 September 2017); doi: 10.1117/12.2273562
Show Author Affiliations
A. Vokhmintcev, Chelyabinsk State Univ. (Russian Federation)
T. Botova, Chelyabinsk State Univ. (Russian Federation)
I. Sochenkov, Chelyabinsk State Univ. (Russian Federation)
A. Sochenkova, RUDN Univ. (Russian Federation)
A. Makovetskii, Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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