Track Sensing Obstacle Avoidance Technology For Autonomous Vehicle

This paper presents a developed and tested autonomous robotic vehicle with a track sensing and obstacle avoidance system, using an L298 motor driver and an Arduino Nano. The vehicle is designed to move autonomously in different environments while detecting obstacles and making avoidance decisions. It is fitted with an HC-SR04 ultrasonic sensor, which continuously measures the distance for the presence of an obstacle and changes the path of the vehicle accordingly. The motor driver L298 controls the two DC motors, which aid in controlling the movement of the robot accurately. The Arduino Nano microcontroller then processes this information from the ultrasonic sensor and instructs the motor driver to make adjustments to achieve a smooth navigation and obstacle avoidance in real-time. Designed for handling various types of terrains and obstacles, the robot showcases very advanced techniques of collision avoidance. The control software is written in the Arduino IDE and C++ programming, integrating sensor information with motor commands. This project is for improving efficiency and autonomy in terms of robotic vehicles, with absolutely no manual intervention to the least possible while improving operational reliability.