The research of robot toy car positioning method based on ant colony algorithm and ultrasonic positioning

This paper uses ant colony algorithm and ultrasonic positioning method to research the driving path of the car, for planning effectively driving path, positioning precisely and reducing position error in the driving process. In the paper, the departure and destination of the car are set and the driving path change trend of the car is analyzed with different numbers of ants and numbers of iterations, according to the traffic information instructed by the map, which is input to the master chip of the car. Using the method of ultrasonic positioning, the reaction speed in the driving process of the car is studied and the effect of ultrasonic positioning method to the time of repositioning is discussed. The research shows that the optimal positioning time is 8.56s when the number of ants is 30 and the number of traversal is 50. Combined with ultrasonic positioning method, we can accurately determine whether the car reach the destination in accordance with the established goals. Through the research of this paper, it is accurate to get the driving position of the car.