Paper Contents
Abstract
This project focuses on the development of an autonomous self-driving car utilizing an Arduino Uno microcontroller, ultrasonic sensors, and a servo motor. The car is programmed in C to navigate independently by emitting ultrasonic waves, measuring distances, and determining optimal paths to avoid collisions. The integration of ultrasonic sensing and servo motor technology enables the vehicle to detect obstacles, adjust its direction, and adapt efficiently to its surroundings, ensuring seamless autonomous navigation. This design leverages AI-assisted sensors and decision-making systems to enhance the functionality of the car, highlighting its potential to reduce accidents, lower fuel consumption, and improve mobility. By eliminating the need for human intervention, the project demonstrates how advanced automation can address challenges in obstacle avoidance and navigation. The innovative use of low-cost components, such as the Arduino Uno, combined with intelligent control algorithms, showcases a scalable approach to advancing autonomous vehicle technology. This system not only exemplifies the practical application of real-time data processing and sensor integration but also contributes to broader efforts in making self-driving cars a safer, more efficient alternative for modern transportation. The project underscores the transformative impact of autonomous vehicles on mobility and safety, while exploring innovative solutions to existing challenges in autonomous driving. Keywords: self-driving car, Arduino Uno, Ultrasonic sensors, Servo motor, Collision avoidance, Autonomous navigation, Mobility enhancement.
Copyright
Copyright © 2025 KASAM NEERAJA . This is an open access article distributed under the Creative Commons Attribution License.
