19 September 2017 Robot mapping algorithm based on Kalman filtering and symbolic tags
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Vokhmintcev, A. Vokhmintcev, T. Botova, T. Botova, I. Sochenkov, I. Sochenkov, A. Sochenkova, A. Sochenkova, A. Makovetskii, 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); doi: 10.1117/12.2273562; https://doi.org/10.1117/12.2273562


Mobile robot localization with sparse landmarks
Proceedings of SPIE (February 17 2002)
Minimalist Light Striping for a Mobile Robot
Proceedings of SPIE (February 28 1990)
Navigation using self-initializing active contours
Proceedings of SPIE (September 25 1997)
Visual-tracking-based robot vision system
Proceedings of SPIE (October 31 1992)

Back to Top