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

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