prikaz prve stranice dokumenta Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže
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master's thesis
Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:145832
Bralić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bralić, I. (2020). Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:145832

Bralić, Ivan. "Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:145832

Bralić, Ivan. "Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:145832

Bralić, I. (2020). 'Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:145832

Bralić I. Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:145832

I. Bralić, "Autonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:145832

Metadata
TitleAutonomno upravljanje bespilotnom letjelicom primjenom konvolucijske neuronske mreže
Title (english)Autonomous control of an UAV by using convolutional neural network
AuthorIvan Bralić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberMatko Orsag (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Tema rada je bila ostvariti autonomno upravljanje bespilotnom letjelicom koristeći metode dubokog učenja. U radu je istraženo nekoliko mogućnosti efikasnih arhitektura konvolucijskih neuronskih mrežu u svrhe semantičke segmentacije. Koristeći informacije o lokaciji ceste sa segmentirane slike ostvarena je navigacija letjelicom za praćenje iste. Implementirani algoritam upravljanja je kao referentne veličine zadavao brzinu gibanja i potreban zakret letjelice u svrhu uspješnog praćenja prometnice. Eksperimentalnom analizom je potvrđena valjanost predloženih metoda i ostvareni su zadovoljavajući rezultati kvalitete detekcije i navigacije u simulacijskom okruženju.
Abstract (english)
The goal of this thesis was to accomplish autonomous control of unmanned aerial vehicle by using methods of deep learning. Several architectures of deep convolutional neural networks were explored for the purpose of semantic segmentation. Based on the information provided by the segmented image, autonomous navigation algorithm was developed for the goal of road following. Implemented control algorithm generated flying velocity and needed yaw angle in order for UAV to successfully follow the road. Validity of methods were experimentally analyzed. Results from the simulation environments showed satisfactory results of detection and navigation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:145832
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 11:52:20