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master's thesis
FUZIJA SENZORA I KALMAN FILTAR
2021. urn:nbn:hr:228:907289
Celio Cega, Petar
University of Split
University Department of Professional Studies
Department of Electrical Engineering

Cite this document

Celio Cega, P. (2021). FUZIJA SENZORA I KALMAN FILTAR (Master's thesis). Split: University of Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:228:907289

Celio Cega, Petar. "FUZIJA SENZORA I KALMAN FILTAR." Master's thesis, University of Split, 2021. https://urn.nsk.hr/urn:nbn:hr:228:907289

Celio Cega, Petar. "FUZIJA SENZORA I KALMAN FILTAR." Master's thesis, University of Split, 2021. https://urn.nsk.hr/urn:nbn:hr:228:907289

Celio Cega, P. (2021). 'FUZIJA SENZORA I KALMAN FILTAR', Master's thesis, University of Split, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:228:907289

Celio Cega P. FUZIJA SENZORA I KALMAN FILTAR [Master's thesis]. Split: University of Split; 2021 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:228:907289

P. Celio Cega, "FUZIJA SENZORA I KALMAN FILTAR", Master's thesis, University of Split, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:228:907289

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Metadata
TitleFUZIJA SENZORA I KALMAN FILTAR
Title (english)SENSOR FUSION AND KALMAN FILTER
AuthorPetar Celio Cega
MentorBarbara Džaja (mentor)
Committee memberTonko Kovačević (član povjerenstva)
Committee memberMarko Vukšić (član povjerenstva)
GranterUniversity of Split
(University Department of Professional Studies)
(Department of Electrical Engineering)
Split
Defense date and country2021-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Kroz ovaj rad objašnjeno je na koji način moderan elektronički sustav koristeći proces zvan Kalman filtar obrađuje podatke iz više različitih osjetnika u svrhu poboljšanja kvalitete informacija o prostoru u kojem se nalazi. Dan je uvod u procesni model Kalman filtra, detaljno pojašnjen način na koji predviđa buduće stanje sustava te je kroz dvodimenzionalni primjer Kalman filtra prikazano kako dva potpuno različita osjetnika mogu raditi zajedno u cilju unaprijeđenja preciznosti, robusnosti i kvalitete dobivenih vrijednosti.
Abstract (english)
Throughout this thesis it is explained how a modern electronics system uses Kalman filtering to process the data from multi-sensor systems in a bid to improve the quality of information about its surroundings. The details of Kalman filtering process are demonstrated on predictive state model. Comprehensive two-dimensional example demonstrates in which way two heterogeneous sensors can be paired to work together and deliver data which is more precise, robust and of higher quality.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:228:907289
Study programmeTitle: Electrical Engineering – specialist graduate - professional
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni/a specijalist/specijalistica inženjer/inženjerka elektrotehnike (stručni/a specijalist/specijalistica inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-10-18 13:38:03