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Obdelava kinematičnih terestričnih meritev s Kalmanovim filtrom : magistrsko delo
ID Klančišar, Matic (Author), ID Ambrožič, Tomaž (Mentor) More about this mentor... This link opens in a new window, ID Štebe, Gašper (Comentor)

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Abstract
Magistrska naloga temelji na oceni kakovosti kinematičnih meritev z elektronskim tahimetrom Leica TS30 in njihovi obdelavi s Kalmanovim filtrom. Meritve smo opravili na vozičku komparatorja nivelmanskih lat, kjer se je reflektor premikal enakomerno in pospešeno. Sledila je primerjava rezultatov z referenčno linijo, ki smo jo preračunali na podlagi rezultatov precizne izmere krajnih točk in z izravnano premico, ki smo jo izračunali po metodi najmanjših kvadratov iz merjenih točk. Izračunali smo hitrost ter pospešek gibanja med posameznimi točkami. Rezultate smo obdelali s Kalmanovim filtrom. Primerjali smo pravokotne odmike filtriranih in merjenih točk ter obravnavali odstopanja od referenčne linije in izravnane premice v odvisnosti od koeficienta šuma Kalmanovega filtra.

Language:Slovenian
Keywords:kinematične meritve, Kalmanov filter, hitrost, pospešek, odmik
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publisher:[M. Klančišar]
Year:2020
PID:20.500.12556/RUL-116097 This link opens in a new window
UDC:528.02:681.5.015.44(043.3)
COBISS.SI-ID:29610755 This link opens in a new window
Publication date in RUL:14.05.2020
Views:2893
Downloads:175
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Secondary language

Language:English
Title:Processing kinematic measurements with Kalman filter : master thesis
Abstract:
The master's thesis is based on an assessment of the quality of the kinematic measurements, with the Leica TS30 electronic tachymeter and their processing with the Kalman's filter. Measurements were recorded to a reflector, on the wheelchair of the leveling staff comparator, where the reflector was moved evenly and accelerated. The next step was the comparison of the results with the reference line, which was calculated on the basis of the results of the precision measurement, of the endpoints. Results were also compared to the adjustment line, which was calculated with least squares method. We calculated the speed and acceleration of movement between points. The results were processed with Kalman's filter. We compared the perpendicular distances of filtered and measured points and discuss deviations from the reference line, depending on the noise coefficient of the Kalman's filter.

Keywords:kinematic measurements, Kalman filter, speed, acceleration, deviation

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