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master's thesis
Detekcija semafora zasnovana na analizi svijetlih područja slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:327939
Raguž, Vedrana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Raguž, V. (2020). Detekcija semafora zasnovana na analizi svijetlih područja slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:327939

Raguž, Vedrana. "Detekcija semafora zasnovana na analizi svijetlih područja slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:327939

Raguž, Vedrana. "Detekcija semafora zasnovana na analizi svijetlih područja slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:327939

Raguž, V. (2020). 'Detekcija semafora zasnovana na analizi svijetlih područja slike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:327939

Raguž V. Detekcija semafora zasnovana na analizi svijetlih područja slike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:327939

V. Raguž, "Detekcija semafora zasnovana na analizi svijetlih područja slike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:327939

Metadata
TitleDetekcija semafora zasnovana na analizi svijetlih područja slike
Title (english)Traffic light detection based on blob detection
AuthorVedrana Raguž
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Sustavi za pomoć vozaču pružaju informacije o stanju prometa. Detekcija semafora je bitan element osiguranja sigurnosti za vrijeme vožnje. U ovom radu je opisan sustav za detekciju semafora zasnovan na analizi svijetlih područja slike. Pri razvoju se koristila Bosch Small Traffic Lights Dataset baza. Dostupni skup uzoraka se proširio metodom horizontalnog preslikavanja. Proučavale su se metode korisne za detekciju semafora poput uklanjanja šuma, metoda postavljanja praga za određivanje komponente boje, detekcije izvora svjetlosti i morfoloških operacija. Konačni algoritam se sastoji od uklanjanja šuma, detekcije izvora svjetlosti i filtriranja područja koja nisu od interesa. Evaluacija sustava je prikazana TP i FP mjerama.
Abstract (english)
Advanced Driver Assistance Systems (ADAS) provide traffic condition information. Traffic light detection is an essential component for ensuring safety while driving. This master thesis describes a traffic light detection system based on blob analysis. For development, Bosch Small Traffic Lights Dataset was used. Available data samples were augmented using horizontal flip method.This thesis also studies methods useful for traffic light detection such as noise reduction, color thresholding, spot light detection and morphological operations. The final algorithm consists of noise reduction, spot light detection and filtering areas that are not of interest. System evaluation is presented in the form of TP and FP measures.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:327939
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 10:39:41