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BHOS Tezisler 2022 17x24sm

THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
106
with self-driving car.The other gadget used is L298H bridge.Motors of the car 
are connected to the bridge and the polarity of the motors are reversed by 
the help of bridge. Deep-learning is used widely throughout the project.It is a 
technology that can be used in any field of science.One of the algorithms of 
deep learning is Convolutional Neural Network(CNN) which is the main 
algorithm of our self-driving car.CNN captures various kinds of patterns of 
input images.It will start capturing edges of object,then deep layers will 
capture the shape of object for example traffic lights’.The main component 
of the network is convolutional layer. 
OpenCv is used in this project to process images and detect the lines on 
the road.Also,by using OpenCv crashing with other cars,objects are 
avoided.İt is a library created by İntel,which is used as a machine learning 
computer software. 
We built a car model by using 4 wheels and iron piece and joined them 
together. 
Here block diagram of system is given below: 
Figure 7.
Block diagram of system
 
References 
[1] Self-Driving Car: Using OpenCV2 and Machine Learning, Bipin Advani, Ankita Mistry, 
Narendra Patel, Neeru Pathak, International Journal of Engineering Research & 
Technology (IJERT),2021 
[2] Autonomous Car using Raspberry PI and Ml, Yasir A, Aiman Salim, Arya Dileep, Anjana 
S, International Journal of Engineering Research & Technology (IJERT),2020 
[3] Autonomous Self-Driving Car using Raspberry Pi Model, Nihal A Shetty, Mohan k,Kaushik 
k, International Journal of Engineering Research & Technology (IJERT),2019 



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