  Brain controlled vehicle refers to the vehicle that obtains control commands
by analyzing the driver's EEG through Brain-Computer Interface (BCI). The
research of brain controlled vehicles can not only promote the integration of
brain machines, but also expand the range of activities and living ability of
the disabled or some people with limited physical activity, so the research of
brain controlled vehicles is of great significance and has broad application
prospects. At present, BCI has some problems such as limited recognition
accuracy, long recognition time and limited number of recognition commands in
the process of analyzing EEG signals to obtain control commands. If only use
the driver's EEG signals to control the vehicle, the control performance is not
ideal. Based on the concept of Shared control, this paper uses the fuzzy
control (FC) to design an auxiliary controller to realize the cooperative
control of automatic control and brain control. Designing a Shared controller
which evaluates the current vehicle status and decides the switching mechanism
between automatic control and brain control to improve the system control
performance. Finally, based on the joint simulation platform of Carsim and
MATLAB, with the simulated brain control signals, the designed experiment
verifies that the control performance of the brain control vehicle can be
improved by adding the auxiliary controller.
