magistrsko delo
Aljaž Borko (Author), Damjan Strnad (Mentor)

Abstract

V magistrskem delu smo preučili nevronske mreže in njihovo uporabo za učenje vožnje simuliranih avtonomnih vozil. Pripravili smo 3D-okolje s cesto, po kateri so se vozila učila voziti. Vsako vozilo ima svojo nevronsko mrežo, ki določa hitrost in smer vozila. Preučili in primerjali smo različne pristope učenja – evolucijski pristop in nadzorovano učenje z metodo vzvratnega prenosa napake. Cilj magistrskega dela je bil ustvariti simulirano avtonomno vozilo, ki je sposobno pravilne vožnje po desni strani ceste in se zna izmikati oviram med vožnjo.

Keywords

nevronske mreže;evolucijski algoritmi;3D simulacija;avtonomna vozila;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: A. Borko
UDC: 004.032.26:004.383.4(043.2)
COBISS: 20971286 Link will open in a new window
Views: 866
Downloads: 110
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Other data

Secondary language: English
Secondary title: Using a neural network to control a simulated autonomous vehicle
Secondary abstract: In the present research, we studied neural networks and their level of application in learning how to drive simulated autonomous vehicles. We created a 3D environment including a road on which the vehicles can train how to drive. Each vehicle has its own neural network that determines the direction and speed of the vehicle. We compared and studied different approaches to learning – evolutionary approach and supervised learning using the backpropagation method. The aim of this master thesis was to create a vehicle that is able to drive on the right side of the road and avoid the obstacles.
Secondary keywords: neural network;evolutiuonary algorithms;3D simulation;autonomous vehicle;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages: IX, 65 str.
ID: 10866641