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undergraduate thesis
Detekcija prometnih traka u autonomnim vozilima
2020. urn:nbn:hr:168:013016
Gudelj, Klara
University of Zagreb
Faculty of Electrical Engineering and Computing

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Gudelj, K. (2020). Detekcija prometnih traka u autonomnim vozilima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:013016

Gudelj, Klara. "Detekcija prometnih traka u autonomnim vozilima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:013016

Gudelj, Klara. "Detekcija prometnih traka u autonomnim vozilima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:013016

Gudelj, K. (2020). 'Detekcija prometnih traka u autonomnim vozilima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:013016

Gudelj K. Detekcija prometnih traka u autonomnim vozilima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:013016

K. Gudelj, "Detekcija prometnih traka u autonomnim vozilima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:013016

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Metadata
TitleDetekcija prometnih traka u autonomnim vozilima
Title (english)Lane-detection in Autonomous Vehicles
AuthorKlara Gudelj
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberIvan Grubišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisani su različite dijelovi i tehnike korištene u izgradnji sustava za detekciju prometnih traka. Metode i arhitekture su podijeljene na konvencionalne i one zasnovane na strojnom i dubokom učenju. U nastavku je dan pregled korištenog programskog okruženja. Detljnije su opisane implementacije tri algoritma koji redom koriste tehniku klizajućih prozora, MobileNetV2 te SegNet i U-Net. Rezultati su prikazani i komentirani na kraju rada.
Abstract (english)
This paper describes various parts and techniques used in the construction of lane detection systems. Methods and architectures are divided into conventional and those based on machine and deep learning. In the following pages, an overview of the used programming environment is given. Implementations of three algorithms that use the sliding window technique, MobileNetV2, SegNet and U-Net, are described in more detail. Lastly, the results are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:013016
Study programmeTitle: Computing
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
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Created on2023-01-14 08:53:29