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master's thesis
Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila
2018. urn:nbn:hr:200:577527
Ciberlin, Juraj
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

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Ciberlin, J. (2018). Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:577527

Ciberlin, Juraj. "Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:577527

Ciberlin, Juraj. "Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:577527

Ciberlin, J. (2018). 'Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:577527

Ciberlin J. Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2023 March 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:577527

J. Ciberlin, "Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:577527

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Metadata
TitleDetekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila
Title (english)Object detection in front of the vehicle using front view camera
AuthorJuraj Ciberlin
MentorRatko Grbić (mentor)
Committee memberRatko Grbić (predsjednik povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
Committee memberMario Vranješ (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 country2018-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Tema diplomskog rada je „Detekcija objekata ispred vozila pomoću kamere na prednjoj strani vozila“. Detekcija objekata jedna je od funkcija koju autonomna vozila trebaju obavljati. Naziv sustava koji obavljaju tu funkciju je ADAS. U ovom radu odabran je Viola-Jones algoritam za detekciju objekata kao temelj za izradu vlastitih detektora. Izrađeni su detektori vozila, pješaka, semafora i prometnih znakova. Detektori su izrađeni korištenjem OpenCV biblioteke. Provedena su testiranja svih izrađenih detektora te su prikazani njihovi rezultati. Algoritam za detekciju i praćenje objekata u video zapisu izrađen je u C++ i Python programskim jezicima. Testiranjem izrađenih algoritama na računalu zaključeno je kako izrađeni algoritmi ne obavljaju detekciju objekata u stvarnom vremenu. Algoritam izrađen u Python programskom jeziku ne obavlja ni praćenje detektiranih objekata u stvarnom vremenu, dok algoritam izrađen u C++ programskom jeziku obavlja praćenje detektiranih objekata u stvarnom vremenu. Opisana je Alpha ploča i njezina upotreba. Prikazani su svi problemi prilikom implementacije vlastitog algoritma za detekciju i praćenje objekata na Alpha ploču
Abstract (english)
The topic of the master work is “Object detection in front of autonomous vehicle using dashboard camera”. Object detection is a process of finding objects on an image or video. It is a function that autonomous vehicles need to do. Systems that detect objects and help driver in the driving process are called ADAS. In this paper Viola-Jones algorithm is used to create detectors. Four types of detectors are made (vehicle, pedestrian, traffic light and traffic sign). Detectors are made using OpenCV library. All detectors are tested and their results are shown. Algorithm for object detection and tracking is written in C++ and Python programming languages. After testing the algorithms on computer, it is concluded that neither of them detect objects in real time. Algorithm written in Python programming language does not track objects in real time, while algorithm written in C++ programming language does. Also, Alpha board and its usage are described. All problems are described while algorithm for object detection and tracking is implementing on Alpha board.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:577527
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2018-10-03 11:45:27