Robot mapping algorithm based on Kalman filtering and symbolic tags

A. Vokhmintcev; T. Botova; I. Sochenkov; A. Sochenkova; A. Makovetskii

doi:10.1117/12.2273562

19 September 2017 Robot mapping algorithm based on Kalman filtering and symbolic tags

A. Vokhmintcev, T. Botova, I. Sochenkov, A. Sochenkova, A. Makovetskii

Proceedings Volume 10396, Applications of Digital Image Processing XL; 103962I (2017) https://doi.org/10.1117/12.2273562
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

A. Vokhmintcev, T. Botova, I. Sochenkov, A. Sochenkova, and A. Makovetskii "Robot mapping algorithm based on Kalman filtering and symbolic tags", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962I (19 September 2017); https://doi.org/10.1117/12.2273562

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