E-sport source code self-learning maze-walking smart car

The self-learning maze walking car can work in two modes. One is that the car first tries to find a route out of the maze. When the car tries, it uses a certain algorithm to record the path parameters that can be passed (the angle turned and the distance traveled, etc.), and the next time it walks through the maze, it directly follows the memory. Follow the path parameters to avoid another trial or a dead end and improve the efficiency of passing. Another mode is for a person to guide the car to take the most efficient path, and while the car is walking through the maze, it will memorize the path parameters (the angle turned and the distance forward, etc.), and then let the car walk through the maze according to the memorized path parameters, which also improves the efficiency of the car. Maze-walking efficiency. After a summer vacation of our team's joint efforts, the car can now get out of the maze. Next, we are ready to complete the algorithm for memorizing path parameters.