本设计以MCU为控制核心,使用迷宫算法与机器自主学习的思想核心和电机PID调速为运动核心的一款智能迷宫小车，通过对传感器的加权平均处理进行高精度数据采集，将连续性变量转换成离散随机变量。首先根据左手运算进行迷宫整体搜索，然后进行数组记忆和最优路径运算，第二次进入赛道5秒逃出迷宫。(This design takes the MCU as the control core, uses the maze algorithm and the machine independent learning core and the motor PID speed control as the core of an intelligent labyrinth car. Through the weighted average processing of the sensor, high precision data acquisition is carried out, and the continuous variables are converted into discrete random variables. First, the maze search is done based on the left hand operation, and then the array memory and the optimal path operation are used to escape the maze second times into the circuit 5 seconds.)