Implementation of Self Driving Car System with HSV Filter Method Based on Raspberry & Arduino Serial Communication

Implementation of Self Driving Car System with HSV Filter Method Based on Raspberry & Arduino Serial Communication

self driving car; HSV;rRaspberry; autonomous

The development of technology in the transportation sector at this time is increasingly crucial. So the company innovates to
create a car that can run itself with a high level of security. In this study, we designed an autonomous drive system for a 1:10
scale RC car using the main components in the form of a Raspberry Pi 4 and a Raspberry Pi camera as image processing for
automatic control of an self driving car. Then the Arduino Nano, BTS7960, and Driver L298N components are used to regulate
the movement of the DC motor. In this article, the control strategy of this self-driving car will be shown which will be
implemented to detect lanes as a guide to walk autonomously. This study uses the HSV color filer method with morphology
techniques to detect the path to be passed. This study resulted in a path detection that was very accurate and operated in realtime when compared to the CNN method using sampling paths to be passed that had previously been researched. After the path
is detected, the interconnection between the mini computer and the microcontroller will work to synchronize the path detection
and motor movement. In trials and hardware implementations carried out in the self-driving car laboratory with artificial
intelligence, it can work according to the algorithm created with a success rate of 90%

Kelvin Kristian Roestamadji, Florentinus Budi Setiawan, Leonardus Heru Pratomo, Slamet Riyadi

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

June 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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