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
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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
