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master's thesis
Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:381787
Brekalo, Matej
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

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

Cite this document

Brekalo, M. (2022). Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu (Master's 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:200:381787

Brekalo, Matej. "Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:381787

Brekalo, Matej. "Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:381787

Brekalo, M. (2022). 'Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:381787

Brekalo M. Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:381787

M. Brekalo, "Detekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:381787

Metadata
TitleDetekcija krugova na slikama dobivenim s kamere u automobilu koristeći razvojnu ADAS platformu
Title (english)Detection of circles in images captured by in-vehicle camera using the ADAS development platform
AuthorMatej Brekalo
MentorRatko Grbić (mentor)
Committee memberRatko Grbić (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2022-01-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Ovaj rad se bavi metodama za detekciju krugova na slikama snimljenim kamerom montiranoj na prednjoj strani vozila, te implementacijom metoda na ugradbenu ADAS razvojnu platformu. Prvo je dana teorijska podloga za metode koje se koriste u ovom radu. Metode koje se u radu koriste za detekciju krugova su Hough-ova transformacija i RANSAC algoritam. U sljedećem koraku je izrađen koncept rješenja u Python programskom jeziku na osobnom računalu. Nakon toga rješenje je implementirao i optimizirano u C programskom jeziku na osobnom računalu. Optimizirano rješenje je zatim implementirano na ADAS razvojnu platformu također u C programskom jeziku. Na razvojnoj platformi je slijedila daljnja optimizacija rješenja u pogledu pravilne raspodjele poslova na dostupne procesore razvojne platforme. Nakon optimizacije rješenja na ugradbenoj platformi uspoređene su performanse dvije metode. Rezultati su pokazali da rješenje pomoću Hough-ove transformacije bolje obavlja zadatak detekcije krugova na slikama, ali je nešto sporije od onog gdje je za detekciju korišten RANSAC algoritam.
Abstract (english)
This paper deals with methods for detecting circles in images captured by a camera mounted on the front of the vehicle and implementing methods on the built-in ADAS development platform. First, the theoretical basis for the methods used in this paper are given. The methods used in this paper to detect circles are the Hough transformation and the RANSAC algorithm. In the next step, the concept of the solution in the Python programming language on a personal computer is developed. After that, the solution was implemented and optimized in the C programming language on a personal computer. The optimized solution was then implemented on the ADAS development platform also in the C programming language. The solution was further optimized on development platform in terms of the proper distribution of work on the available processors of the development platform. After optimizing the solution on the development platform, the performance of the two methods was compared. The results showed that the solution using the Hough transformation performs the task of detecting circles in images better, but is somewhat slower than where the RANSAC algorithm was used for detection.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:381787
Study programmeTitle: UNIVERSITY STUDY AUTOMOBILE COMPUTER AND COMMUNICATION
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-14 14:14:17