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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

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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

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

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

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 12 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:261183

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 2024 May 12] Available at: https://urn.nsk.hr/urn:nbn:hr:200:261183

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

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Metadata
TitleSustav 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
AuthorBorna Svetinović
MentorMarijan Herceg (mentor)
Committee memberMarijan Herceg (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
GranterJosip 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 country2023-12-13, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:261183
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-01-04 08:20:38