Thesis Details

Radarový senzor pro adaptivní tempomat

Master's Thesis Student: Rous Petr Academic Year: 2019/2020 Supervisor: Maršík Lukáš, Ing.
English title
Radar Sensor for Active Cruise Control
Language
Czech
Abstract

This master thesis deals with implementation of the radar sensor for adaptive cruise control system. It discusses used technologies and processes and documents implementation of signal processing serving for the purpose of adaptive cruise control. It also describes the testing on the real data gathered in traffic. Texas Instrument's AWR1843 radar module was used as the sensor. This sensor represents currently very popular milimeter wave technology radars. Result of this master thesis are two implemented systems processing digital signal. One of them is a prototype application of the adaptive cruise control system, which also visualises the data. The other is implemented firmware of radar module doing real-time on-chip signal processing according to adaptive cruise control logic. 

Keywords

Adaptive Cruise Control, radar, mmWave, C, Python, digital signal processing

Department
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade B
Date
14 July 2020
Reviewer
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Citation
ROUS, Petr. Radarový senzor pro adaptivní tempomat. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-14. Supervised by Maršík Lukáš. Available from: https://www.fit.vut.cz/study/thesis/22692/
BibTeX
@mastersthesis{FITMT22692,
    author = "Petr Rous",
    type = "Master's thesis",
    title = "Radarov\'{y} senzor pro adaptivn\'{i} tempomat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22692/"
}
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