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master's thesis
Izgradnja modela autonomnog vozila
2020. urn:nbn:hr:211:936104
Oršolić, Ivan
University of Zagreb
Faculty of Organization and Informatics
Department of Theoretical and Applied Foundations of Information Sciences

Cite this document

Oršolić, I. (2020). Izgradnja modela autonomnog vozila (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:936104

Oršolić, Ivan. "Izgradnja modela autonomnog vozila." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2020. https://urn.nsk.hr/urn:nbn:hr:211:936104

Oršolić, Ivan. "Izgradnja modela autonomnog vozila." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2020. https://urn.nsk.hr/urn:nbn:hr:211:936104

Oršolić, I. (2020). 'Izgradnja modela autonomnog vozila', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 09 February 2023, https://urn.nsk.hr/urn:nbn:hr:211:936104

Oršolić I. Izgradnja modela autonomnog vozila [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2020 [cited 2023 February 09] Available at: https://urn.nsk.hr/urn:nbn:hr:211:936104

I. Oršolić, "Izgradnja modela autonomnog vozila", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:211:936104

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Metadata
TitleIzgradnja modela autonomnog vozila
Title (english)Building a Self-driving RC Car
AuthorIvan Oršolić
MentorMarkus Schatten (mentor)
MBZ: 291806
Committee memberIgor Tomičić
MBZ: 306061
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Theoretical and Applied Foundations of Information Sciences)
Varaždin
Defense date and country2020-03-02, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
A self-driving 1:10 RC car model with a custom made end-to-end machine learning pipeline, a simulator for rapid prototyping and a proposed neural network architecture which allows multiple specialised subnetworks to converge in a final generalised decision layer. The final implemented and trained model can perform behaviours such as lane changing and can navigate randomly generated tracks while staying inside the marked lanes.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:936104
Study programmeTitle: Information and Programming Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2020-04-27 07:29:23