Global Monocular Indoor Positioning of a Robotic Vehicle with a Floorplan
This paper presents a global monocular indoor positioning system for a robotic vehicle starting from a known pose. The proposed system does not depend on a dense 3D map, require prior environment exploration or installation, or rely on the scene remaining the same, photometrically or geometrically....
Main Authors: | John Noonan, Hector Rotstein, Amir Geva, Ehud Rivlin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/3/634 |
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