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undergraduate thesis
Autonomna vožnja korištenjem dubokog potpornog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:915767
Bertol, Leon
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bertol, L. (2021). Autonomna vožnja korištenjem dubokog potpornog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:915767

Bertol, Leon. "Autonomna vožnja korištenjem dubokog potpornog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:915767

Bertol, Leon. "Autonomna vožnja korištenjem dubokog potpornog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:915767

Bertol, L. (2021). 'Autonomna vožnja korištenjem dubokog potpornog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:915767

Bertol L. Autonomna vožnja korištenjem dubokog potpornog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:915767

L. Bertol, "Autonomna vožnja korištenjem dubokog potpornog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:915767

Metadata
TitleAutonomna vožnja korištenjem dubokog potpornog učenja
Title (english)Autonomous driving using deep reinforcement learning
AuthorLeon Bertol
MentorMarija Seder (mentor)
Committee memberMarija Seder (predsjednik povjerenstva)
Committee memberFilip Marić (član povjerenstva)
Committee memberBorna Bićanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Autonomna vožnja jedan je od problema kojim se bavi umjetna inteligencija. Kako bi vozilo samostalno upravljalo potrebna je velika količina podataka koja se postiže ugradnjom različitih vrsta senzora. Za obradu i učenje stečenih informacija koriste se tehnike strojnog učenja, a u tu svrhu, duboko podržano učenje svojim nedavnim razvojem je postalo izvrstan kandidat . U ovom radu provodi se primjena i oblikovanje problema dubokog potpornog učenja u autonomnoj vožnji te su dobiveni rezultati prezentirani i interpretirani. Također kako bi se naznačilo koji senzori daju najbolje rezultate, testirana su tri modela koja koriste različite vrste senzora.
Abstract (english)
Autonomous driving is one of the problem that is dealt by artificial intelligence. To drive autonomously vehicle requires vast quantity of information which is achieved by installing various types of sensors. For processing and learning from information machine learning techniques are used and recent development of deep reinforcement learning has made it superb candidate for that purpose. In this paper such application and shaping of deep reinforcement learning problem on autonomous driving is implemented and acquired results are presented and interpreted. Also to indicate which combination of observation gives the best results three models using different observations were tested.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:915767
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 20:05:20