Disclosed is an intelligent wheel chair control method based on a brain computer interface and an automatic driving technology. The method comprises the following steps: acquiring current pictures by webcams to perform obstacle localization generating candidate destinations and waypoints for path planning according to the current obstacle information performing self-localization of the wheel chair selecting a destination by a user through the brain computer interface (BCI) planning an optimal path according to the current position of the wheel chair as a starting point and the destination selected by the user as an end point in combination with the waypoints calculating a position error between the current position of the wheel chair and the optimal path as the feedback of aPID path tracking algorithm and calculating a reference angular velocity and linear velocity by means of the PID path tracking algorithm and transmitting them to a PID motion controller, converting odometry data from encoders into current angular and linear velocities as a feedback of the PID motion controller, and controlling the driving of the wheel chair in real time to the destination. The intelligent wheel chair control method greatly relieves the mental burden of a user, can adapt to changes in the environment, and improves the self-care ability of patients with severe paralysis.
