Thesis Details

Klasifikace vozidel s použitím radaru

Master's Thesis Student: Raszka Aleš Academic Year: 2016/2017 Supervisor: Maršík Lukáš, Ing.
English title
Vehicle Classification Using Radar
Language
Czech
Abstract

This Master thesis deals with usage of radar signal for vehicle classification. The thesis uses radar modules with continuous wave based on Doppler effect. Radar signal is processed by a series of signal processing method finished by Fourier transform. Data produced by FFT is used to create SVM and AdaBoost classifier which can be used to classify vehicles into groups.

Keywords

Doppler effect, radar, signal processing, classification, vehicle, SVM, Adaboost

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade A
Date
21 June 2017
Reviewer
Zemčík Pavel, prof. Dr. Ing.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Sedlák Petr, doc. Ing., Ph.D. (DPHYS FEEC BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
RASZKA, Aleš. Klasifikace vozidel s použitím radaru. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-21. Supervised by Maršík Lukáš. Available from: https://www.fit.vut.cz/study/thesis/19268/
BibTeX 
@mastersthesis{FITMT19268,
    author = "Ale\v{s} Raszka",
    type = "Master's thesis",
    title = "Klasifikace vozidel s pou\v{z}it\'{i}m radaru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19268/"
}

Theses

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