Calibration of prepared environment for optical navigation

The main objective of this thesis is to evaluate accuracy and precision of the machine vision system used to calibrate a prepared environment foroptical navigation. Rotationally independent optimized colour reference labels (symbols) creates an environment. Any number of symbols can be used. A symbo...

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Main Author: Panilet Panipichai, Jinnu
Format: Others
Language:English
Published: Mittuniversitetet, Avdelningen för elektronikkonstruktion 2015
Subjects:
SNR
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26387
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spelling ndltd-UPSALLA1-oai-DiVA.org-miun-263872015-12-22T04:54:52ZCalibration of prepared environment for optical navigationengPanilet Panipichai, JinnuMittuniversitetet, Avdelningen för elektronikkonstruktion2015Optimized colour symbolsPrecisionAccuracySNRThe main objective of this thesis is to evaluate accuracy and precision of the machine vision system used to calibrate a prepared environment foroptical navigation. Rotationally independent optimized colour reference labels (symbols) creates an environment. Any number of symbols can be used. A symbol carries 8–bit (0 to 255) information, which can be designed for different values by using Matlab algorithms. An optical navigation system enters into the environment and captures thesymbols. The symbols are then decoded to determine the geographical positions of the symbols from reference position of the system by using Matlab algorithms. Then, the system is moved to a known position and the same set of symbols are captured, decoded and located. The process is repeated for several positions of the system to find precision and accuracy. Finally, the results are analysed. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26387application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Optimized colour symbols
Precision
Accuracy
SNR
spellingShingle Optimized colour symbols
Precision
Accuracy
SNR
Panilet Panipichai, Jinnu
Calibration of prepared environment for optical navigation
description The main objective of this thesis is to evaluate accuracy and precision of the machine vision system used to calibrate a prepared environment foroptical navigation. Rotationally independent optimized colour reference labels (symbols) creates an environment. Any number of symbols can be used. A symbol carries 8–bit (0 to 255) information, which can be designed for different values by using Matlab algorithms. An optical navigation system enters into the environment and captures thesymbols. The symbols are then decoded to determine the geographical positions of the symbols from reference position of the system by using Matlab algorithms. Then, the system is moved to a known position and the same set of symbols are captured, decoded and located. The process is repeated for several positions of the system to find precision and accuracy. Finally, the results are analysed.
author Panilet Panipichai, Jinnu
author_facet Panilet Panipichai, Jinnu
author_sort Panilet Panipichai, Jinnu
title Calibration of prepared environment for optical navigation
title_short Calibration of prepared environment for optical navigation
title_full Calibration of prepared environment for optical navigation
title_fullStr Calibration of prepared environment for optical navigation
title_full_unstemmed Calibration of prepared environment for optical navigation
title_sort calibration of prepared environment for optical navigation
publisher Mittuniversitetet, Avdelningen för elektronikkonstruktion
publishDate 2015
url http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26387
work_keys_str_mv AT paniletpanipichaijinnu calibrationofpreparedenvironmentforopticalnavigation
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