Accuracy Evaluation Method of Multispectral Data Fusion for Robotic Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F18%3APU136353" target="_blank" >RIV/00216305:26620/18:PU136353 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-76072-8_17" target="_blank" >http://dx.doi.org/10.1007/978-3-319-76072-8_17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-76072-8_17" target="_blank" >10.1007/978-3-319-76072-8_17</a>
Alternative languages
Result language
angličtina
Original language name
Accuracy Evaluation Method of Multispectral Data Fusion for Robotic Systems
Original language description
The aim of the paper is to describe method for accuracy evaluation of optical multispectral data-fusion systems. The method was primarily developed for evaluation of robotics systems formed in our laboratory, but its usage is without doubt much wider. Described method of evaluation consists of multispectral target design, pattern extraction and computation of criteria for data fusion evaluation. Two completely different robotic systems have been evaluated in this paper. The first one is mobile robot Orpheus-X4 with its advanced visual system that uses data fusion for automatic environment mapping and visual telepresence. The fusion is realized by means of spatial data from Swissranger TOF camera; the thermal and CCD camera data are comprised in one multispectral 3D model for mapping purposes or stereo image presented in real-time to a monitor or a binocular head-mounted display. The second system is scanning robotic system RoScan with industrial manipulator that can be used for many different applications in medical domain, such as "diabetic foot" necrotic tissue detection, inflammation diagnosis, or monitoring of tissue recovery process. Fusion is realized by means of spatial data from triangulation line scanner; the thermal and CCD camera data are comprised in one multispectral 3D model for medical purposes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS
ISBN
978-3-319-76072-8
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
237-250
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Roma
Event date
Oct 24, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000444831600017