• Version
• Download 6
• File Size 633.22 KB
• File Count 1
• Create Date 16 May 2025
• Last Updated 16 May 2025

IoT based Self Driving Car

Authors:

Suryangini Ingle, Chinmay Joshi, Soham Kulkarni, Kirti Joshi

Electronics and Telecommunication Engineering Department

Kolhapur Institute of Technology College of Engineering, Kolhapur, Maharashtra, India

Abstract

This project shows an affordable self-driving car prototype that uses Raspberry Pi 4, motor driver, DC motors, USB webcam. The system combines software-control algorithms with hardware elements like DC motors, a motor driver (L298N), and a power supply. Using methods like grayscale conversion, Gaussian blur, etc. OpenCV processes a real-time video frame from the webcam to detect road boundaries, objects, signs, etc. The prototype uses either rule-based logic or a trained convolutional neural network (CNN) model to establish driving direction based on the data obtained from raspberry pi processor. PWM signals are transmitted from the Raspberry Pi to the motor driver in order to control the dc motor speed, direction, etc. Additionally, a VNC -based wireless communication system is included in the setup, enabling Wi-Fi monitoring and remote access. Performance was assessed using lane-following accuracy, and overall driving stability during testing. The system is a good example of how to create a flexible, reasonably priced self-driving platform for testing and teaching.