prikaz prve stranice dokumenta Detekcija rizika od sudara i pametna kontrola brzine
  Download
PDF 3.42 MB
master's thesis
Detekcija rizika od sudara i pametna kontrola brzine
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:376488
Šimara, Eugen
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

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

Cite this document

Šimara, E. (2020). Detekcija rizika od sudara i pametna kontrola brzine (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:200:376488

Šimara, Eugen. "Detekcija rizika od sudara i pametna kontrola brzine." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:376488

Šimara, Eugen. "Detekcija rizika od sudara i pametna kontrola brzine." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:376488

Šimara, E. (2020). 'Detekcija rizika od sudara i pametna kontrola brzine', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:376488

Šimara E. Detekcija rizika od sudara i pametna kontrola brzine [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:376488

E. Šimara, "Detekcija rizika od sudara i pametna kontrola brzine", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:376488

Metadata
TitleDetekcija rizika od sudara i pametna kontrola brzine
Title (english)Collision risks detection and intelligent speed control
AuthorEugen Šimara
MentorMarijan Herceg (mentor)
Committee memberMarijan Herceg (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Electronics and Microelectronics)
Osijek
Defense date and country2020-05-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom diplomskim radom razvijen je algoritam koji na temelju udaljenosti vozila koje se nalazi ispred ili iza vozila na kojemu je implementiran algoritam, računa brzinu te poduzima potrebnu radnju. U predloženom algoritmu korišten je Viola-Jones detektor koji služi za detekciju vozila nakon čega se proračunava udaljenost vozila. Viola-Jones detektor je istreniran na ranije prikupljenim slikama nakon čega je testiran na novom skupu slika. Iz rezultata testiranja može se vidjeti kako algoritam radi prilično dobro (vrlo rijetko se dešavaju netočne detekcije i detekcije kojima je IoU manji od 70%).
Abstract (english)
In this graduate thesis, an algorithm was developed which, based on the distance of the vehicle which stands in front of or behind the vehicles on which the algorithm was implemented, calculate speed and takes some action. In the proposed algorithm, the Viola-Jones detector for vehicle detection is used. The Viola-Jones detector was trained on previously acquired images, after which is tested on a new set of images. The test results show that the algorithm works quite well (very rarely there are inaccurate detections and detections with IoU less than 70%).
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:376488
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 on2020-09-15 15:07:28