Autonomous Navigation: An Arduino-Based Smart Car Obstacle Avoidance System

Abstract

Autonomous car navigation is currently attracting considerable research interests. The design of an Arduino-based smart car obstacle avoidance system includes the use of ultrasonic sensor to detect obstacles and control the car's movement. The system is designed and developed to operate in self-driven remote to avoid obstacles and reduces collisions. This paper presents the prototype development of a smart car obstacle avoidance system using Arduino microcontroller and ultrasonic sensor. The research methodology operates by using ultrasonic sensor to detect obstacles, emit sound waves, and measure the time it takes for the waves to be reflected. Arduino microcontroller serves as the system's control unit which enables the real-time analysis of sensor data and control the movement of the car. Arduino microcontroller processes the data and calculates the distance of the obstacles. The direction and speed of the car is adjusted based on the calculated distance to avoid collision. The proposed system is intended to provide a cost-effective, efficient, and reliable obstacle avoidance system that could be used in various applications, such as robotics and automated vehicles. The success of the system is determined by the accuracy of the sensor data and the effectiveness of the control algorithms used to drive the car through the environment. Overall, the design of an Arduino-based smart car obstacle avoidance system is an interesting and innovative application of robotics technology.