Pose estimation and calibration algorithms for vision and inertial sensors

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July 28, 2014 | History

Pose estimation and calibration algorithms for vision and inertial sensors

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This thesis deals with estimating position and orientation in real-time, using measurements from vision and inertial sensors. A system has been developed to solve this problem in unprepared environments, assuming that a map or scene model is available. Compared to 'camera-only' systems, the combination of the complementary sensors yields an accurate and robust system which can handle periods with uninformative or no vision data and reduces the need for high frequency vision updates.

Publish Date
Language
English
Pages
94

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Cover of: Pose estimation and calibration algorithms for vision and inertial sensors
Pose estimation and calibration algorithms for vision and inertial sensors
2008, Department of Electrical Engineering, Linko ping University
in English

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Book Details


Edition Notes

Licentiatavhandling Linko ping : Linko pings universitet, 2008.

Published in
Linko ping
Series
Linko ping studies in science and technology. Thesis -- 1370, Linko ping studies in science and technology -- 1370.

The Physical Object

Pagination
x, 94 s. :
Number of pages
94

ID Numbers

Open Library
OL25540619M
Internet Archive
poseestimationca00holj
ISBN 10
9173938629
ISBN 13
9789173938624
OCLC/WorldCat
243922379

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Internet Archive item record

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