prikaz prve stranice dokumenta Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0
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master's thesis
Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:831363
Maretić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Maretić, I. (2021). Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0 (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:831363

Maretić, Ivan. "Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:831363

Maretić, Ivan. "Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:831363

Maretić, I. (2021). 'Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:831363

Maretić I. Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0 [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:831363

I. Maretić, "Primjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:831363

Metadata
TitlePrimjena čestičnog filtera u fuziji senzora na jezgri niske potrošnje Arm Cortex-M0
Title (english)Application of particle filter in sensor fusion on a low-power Arm Cortex-M0 core
AuthorIvan Maretić
MentorAdrijan Barić (mentor)
Committee memberAdrijan Barić (predsjednik povjerenstva)
Committee memberJurica Kundrata (član povjerenstva)
Committee memberMladen Vučić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Procjena orijentacije je osnovna komponenta svih problema estimacije nad vozilima i kontrolnih sistema. Kod estimacije orijentacije , najbolji rezultati se dobivaju kombiniranjem podataka iz više tipova senzora kako bi se iskoristile njihove prednosti u procesu zvanom fuzija senzora. Skriveni Markovljevi modeli pružaju veoma fleksibilan okvir za modeliranje podataka vremenskih nizova. Čestični filtri su podskup sekvencijalnih Monte Carlo algoritama koji pružaju aproksimativna rješenja za probleme zaključivanja skrivenih Markovljevih modela. Čestični filter je implementiran i evaluiran na ARM Cortex-M familiji mikroprocesorskih jezgri. Procjene čestičnog filtera prikazane su na podatcima iz stvarnog svijeta koje su skupljene koristeći Digilent PmodNAV inercijalnu mjernu jedinicu.
Abstract (english)
Attitude estimation is a fundamental component of all vehicle estimation problems and control systems. When estimating attitude, the best results are obtained by combining data from multiple types of sensors to take advantage of their strengths in a process called sensor fusion. The general state space hidden Markov models provide an extremely flexible framework for modeling time series data. Particle filters are a subset of sequential Monte Carlo algorithms that provide approximate solutions to the hidden Markov model inference problems. The particle filter is implemented and evaluated on ARM Cortex-M microprocessor core family. The estimations of the particle filter algorithm is shown on real world data acquired by the Digilent PmodNAV inertial measurement unit.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:831363
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 12:58:19