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undergraduate thesis
Detekcija prometne trake
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. urn:nbn:hr:200:694317
Šimunović, Bruno
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Šimunović, B. (2021). Detekcija prometne trake (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:694317

Šimunović, Bruno. "Detekcija prometne trake." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:694317

Šimunović, Bruno. "Detekcija prometne trake." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:694317

Šimunović, B. (2021). 'Detekcija prometne trake', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:200:694317

Šimunović B. Detekcija prometne trake [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:694317

B. Šimunović, "Detekcija prometne trake", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:694317

Metadata
TitleDetekcija prometne trake
Title (english)Traffic lane detection
AuthorBruno Šimunović
MentorČaslav Livada (mentor)
Committee memberDražen Bajer (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2021-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Problem ovoga rada je bio opis rada i kreiranje algoritma za detekciju prometnih traka. Za kreiranje algoritma se koriste OpenCV, Matplotlib i NumPy biblioteke. Algoritam je opisan u par koraka, od kojeg je najvažnija obrada slike. Slici je najbitnije prvo transformirati perspektivu, nakon toga slika se obrađuje pomoću HSL područja boja te se time reduciraju smetnje. Rezultat tih funkcija je binarna slika. Primjenom Canny algoritma detektiraju se rubovi slika kojom se završava obrada, nakon toga se pronalaze pravci koji predstavljaju prometne trake uz pomoć Houghove transformacije. Iz dobivenih pravaca stvara se jedan prosječni pravac kako bi se što bolje prometne trake prikazale. Na kraju, vraća se filtrirana slika u normalnu perspektivu i spaja se s ulaznom slikom. To je ukratko opis algoritma, a nakon toga se izvode testiranja. Takav algoritam je dovoljno brz za izvođenje u stvarnom vremenu, ali nije dovoljno efektivan za uporabu u stvarnom prometu.
Abstract (english)
The problem of this paper was the description of the work and the creation of an algorithm for the detection of traffic lanes. OpenCV, Matplotlib and NumPy libraries are used for creation of the algorithm. It is described in a few steps, the most important of which is image processing. First, it is essential to transform perspective. After that, the image is processed using the HSL color space and the noise is reduced with that. This results in a binary image and the application of the Canny edge detection algorithm. To describe the image processing, routs representing traffic lanes are then found using the Hough transform. From the obtained routs, one average rout is created in order to show the best possible traffic lanes. Finally, we return the filtered image to normal perspective and merge it with the input image. This is a brief description of the algorithm, after which tests are performed. The algorithm is fast enough to run in real time, but not efficient enough for use in real traffic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:694317
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2021-11-09 12:38:40