Tezislər / Theses

Supervisor: Ayaz Samadli 
Key words:
Open CV, Machine Learning, Deep Learning, Raspberry Pi, Arduino Uno, 
L298H-bridge, Lane Detection, Object Detection, Traffic Light Recognition. 
Abstract 
The main objective of the proposed system is to build self-driving car 
prototype that uses the Raspberry Pi as its central processing unit with 
peripheral devices such as Arduino Uno, raspiCam2, L298H bridge.[2021] 
Software and algorithmic innovations are also essential for many of the 
technolgical advancements that enable self-driving automobiles, especially 
machine learning and deep learning techniques, image processing 
alogorithms,path planning make the system move automatically without any 
human intervention to the destination. In our project we have used Python 
programming for Computer Vision and Deep Learning and C++ in Arduino Uno. 
Introduction 
It is undeniable fact that autonomous vehicles will be centerpiece of our 
future world.As the number of accidents increases because of a rise in the 
number of vehicles on the road and driver carelessness autonomous 
vehicles provide us safe transportation and high chance to prevent accidents 
due to its highly developed techonology.Moreover we can say that 
automated vehicles will play a crucial role in order to decrease obstraction of 
traffic and will be able to provide mobility for whose are disabled to drive non-
autonomous vehicles.[2019]
Our project is to build self-driving car with moving along the 
lane,detecting and following different traffic lights. Firstly, we get continuous 
images taken over raspiCam2 and output obtained from ML and CV 
algorithms send to the H bridge which is for controling the left and right 
motors through Arduino Uno.[2021] 
Design Architecture and Hardwares used 
In our autonomous car we have 4 DC motor for wheels separately.The 
main processor used for this project is Raspberry Pi 3 B+. Raspberry Pi 3 B+ 
is a 64-bit quad core processor running at 1.4GHz.Raspian Operating system 
is downloaded in it to.Also,it includes wifi module which is used to connect 

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