prikaz prve stranice dokumenta Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi
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master's thesis
Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi
Split: University of Split, Faculty of Maritime Studies, 2019. urn:nbn:hr:164:382705
Šimunović, Nikola
University of Split
Faculty of Maritime Studies
Department of nautical studies

Institutional repository: Repository - Faculty of Maritime Studies - Split

Cite this document

Šimunović, N. (2019). Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi (Master's thesis). Split: University of Split, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:164:382705

Šimunović, Nikola. "Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi." Master's thesis, University of Split, Faculty of Maritime Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:164:382705

Šimunović, Nikola. "Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi." Master's thesis, University of Split, Faculty of Maritime Studies, 2019. https://urn.nsk.hr/urn:nbn:hr:164:382705

Šimunović, N. (2019). 'Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi', Master's thesis, University of Split, Faculty of Maritime Studies, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:164:382705

Šimunović N. Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi [Master's thesis]. Split: University of Split, Faculty of Maritime Studies; 2019 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:164:382705

N. Šimunović, "Izdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi", Master's thesis, University of Split, Faculty of Maritime Studies, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:164:382705

Metadata
TitleIzdvajanje značajki video signala s ciljem upravljanja kretanjem na zadanoj stazi
Title (english)Video signal feature extraction for path movement control
AuthorNikola Šimunović
MentorIgor Vujović (mentor)
Committee memberDanko Kezić (predsjednik povjerenstva)
Committee memberMiro Petković (član povjerenstva)
Committee memberJoško Šoda (član povjerenstva)
GranterUniversity of Split
Faculty of Maritime Studies
(Department of nautical studies)
Split
Defense date and country2019-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Izdvajanje značajki video signala s ciljem upravljanja kretanjem sve je više zastupljena tema u razvoju autonomnih vozila. Automatska detekcija linija na cesti i samih granica ceste krucijalna je za sustave autonomnih vozila te u sustavima za pomoć u vožnji. U ovom radu biti će predstavljen algoritam koji detektira linije na cesti te označava traku unutar koje se vozilo kreće. Algoritam radi na načelu transformacije slike u boji u binarni oblik. Potom se vrši sektorsko pretraživanje slike i pronalazi te određuje linije, što rezultira određivanjem trake na cesti. Eksperimentalnim rezultatima biti će prikazana učinkovitost ovog algoritma pri različitim uvjetima na cesti. Uklanjanjem nedostataka i razvojem ovakvih algoritama uvelike se može povećati sigurnost u vožnji te smanjiti broj nesreća uzrokovanih ljudskim pogreškama.
Abstract (english)
Video signal feature extraction for the path movement control is by far more present topic considering development of autonomous vehicles. Automatic detection of lane lines and road edges is crucial for autonomous vehicle systems and driving assistant systems. This thesis is representing an algorithm which detects lines and shows lane in which vehicle is driving. The basic principle of this algorithm is to convert colored image in binary, then use sliding window search to determine lane on the road. Experimental results will show efficiency of this algorithm on the different road conditions. Removing disadvantages and further development of this algorithms will increase safety in driving and decrease accidents caused by human mistakes.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:164:382705
Study programmeTitle: Maritime Electrotechnical Technologies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehničkih tehnologija (magistar/magistra inženjer/inženjerka elektrotehničkih tehnologija)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-10-22 06:49:48