Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti

Svetinović, Borna

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master's thesis

Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti

2023. urn:nbn:hr:200:261183

Svetinović, Borna

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

Cite this document

APA 6th Edition

Svetinović, B. (2023). Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti (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:200:261183

MLA 8th Edition

Svetinović, Borna. "Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:261183

Chicago 17th Edition

Harvard

Svetinović, B. (2023). 'Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 06 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:261183

Vancouver

Svetinović B. Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2025 January 06] Available at: https://urn.nsk.hr/urn:nbn:hr:200:261183

IEEE

B. Svetinović, "Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:261183

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:261183

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Metadata

Title	Sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti
Title (english)	System for automatic control of the vehicle depending on the condition of the road
Author	Borna Svetinović
Mentor	Marijan Herceg (mentor)
Committee member	Marijan Herceg (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Ratko Grbić (član povjerenstva)
Granter	Josip 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 country	2023-12-13, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U ovom diplomskom radu napravljen je sustav za automatsko upravljanje vozilom u ovisnosti o stanju na cesti. Kao osnova sustava korištena je Nvidia neuronska mreža zvana PilotNET. Zadatak sustava je da mora na odnosu podatka o stanju ceste, predvidjeti brzinu vozila i kut zakreta volana. Potrebno je bilo napraviti potpuno novi skup podataka koji će sadržavati potrebne podatke. Nakon treniranja, razvijene su dvije neuronske mreže koje, u odnosu na pregled stanja na cesti, predviđaju brzinu i kut skretanja. Neuronske mreže su objedinjene u jedan model kako bi se sinkronizirano estimirale vrijednosti zakreta volana i brzine vozila. Evaluacija je provedena u dva koraka. Prvi korak evaluacije je testiranje predviđanja sustava na temelju podataka testnog skupa koji nije korišten u procesu treniranja. Ovim testom dobiven je pregled osnovne funkcionalnosti sustava. Sustav je testiran u virtualnom okruženju preko CARLA simulatora. Ovim testom prikazane su mane i pogreške koje sustav radi u stvarnom vremenskom okruženju. Sustav je postigao autonomnost od 88.7 % i 3.72 grešaka po kilometru.
Abstract (english)	In this thesis, a system was created for automatic vehicle control depending on the road conditions. An Nvidia neural network called PilotNET was used as the basis of the system. The task of the system is to predict the speed of the vehicle and the angle of rotation of the steering wheel based on the data on the road condition. It was necessary to create a completely new data set that would contain the necessary data. After training, two neural networks were developed which, in relation to the road condition overview, predict the speed and the turning angle. Neural networks are combined into one model in order to synchronously estimate the values of steering wheel rotation and vehicle speed. The evaluation was carried out in two steps. The first step of the evaluation is to test the predictions of the system based on the data of the test set that was not used in the training process. This test provided an overview of the basic functionality of the system. The system was tested in a virtual environment using the CARLA simulator. This test shows the flaws and errors that the system makes in a real time environment. The system achieved an autonomy of 88.7 % and 3.72 errors per kilometer.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:261183
Study programme	Title: Graduate university study programme in Electrical Engineering (branches: Power Engineering and Communications and Informatics; specializations in: Engineering, Power Engineering and Communications, Communications and Informatics Course: Engineering Study programme type: university Study level: graduate Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike (sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2024-01-04 08:20:38