This autonomous virtual rail-following car project is designed to navigate predefined paths with the assistance of a computer vision algorithm. The vehicle's core system is dependent on a camera mounted on the car's chassis, which captures real-time images
of the floor. These images are then processed using vision algorithms to detect and track the designated line along the path.
A web app has been developed, allowing users to instruct the car to travel to destination. The web app is equipped with a server that employs a pathfinding algorithm to calculate the optimal route for the vehicle. This server acts as a central hub for receiving telemetry data sent by the car and to send navigation commands to the car. The telemetry data is utilized by the web app to display detailed statistics and information about the vehicle's journey.