Vehicle control method and device based on brain-computer interaction

Abstract

The invention discloses a vehicle control method and device based on brain-computer interaction, and the method comprises the steps: S1, sensing the external environment information of a controlled vehicle and the state information of the controlled vehicle in real time in a driving process of the controlled vehicle; S2, judging all driving scenes matched with the current environment according tothe information sensed in real time, and outputting the driving scenes as selectable driving decisions to be provided for a driver to select; S3, collecting a brain wave signal of a driver, and extracting a decision selection instruction of the driver for a driving decision; and S4, when a decision selection instruction is received, calling a corresponding target driving behavior model from a plurality of driving behavior models obtained by pre-training according to the decision selection instruction, and controlling the vehicle driving behavior by using the target driving behavior model. Themethod has the advantages of being simple in implementation method, high in intelligent degree, good in control stability and robustness, safe, reliable and the like.

Description

technical field [0001] The present invention relates to the technical field of vehicle control, in particular to a vehicle control method and device based on brain-computer interaction. Background technique [0002] Brain-controlled cars are intended to control vehicle driving through brainwave signals. At present, brain-controlled car driving is mainly focused on brain-computer decision-making for the driving behavior of engineering vehicles or wheelchair vehicles with low vehicle speeds and low steering rates. It uses a simple processing chip to analyze and extract the original EEG signal, and directly controls the specific control components of the vehicle based on the analysis results of the EEG signal, such as accelerator, brake, and steering wheel, to realize the control of vehicle speed and steering. For example, Chinese patent application 2017101716722 discloses a static smooth wheel roller controlled by brain electrical signals. This solution extracts the original b...

AI Technical Summary

Problems solved by technology

[0005] ② It is necessary to directly extract the human brain intention from the original EEG signal, but the extraction of the human brain intention may actually have large errors or errors, and it is easy to be disturbed, and the stability and robustness of the actual vehicle control are not good;

[0006] ②Because a simple single-core non-system processing chip is used to extract the simple EEG frequency of human brain waves, it can only obtain simple human intentions, such as the above-mentioned simple actions such as forward and backward, without complex intentions Comprehension ability, unable to realize the interaction between human intention and machine during the driving process of the vehicle, so complex vehicle control cannot be completed, and driving is required in driving scenarios such as overtaking, following, turning left, turning right, and roundabouts The above-mentioned driving control method is not suitable for such complex driving environments such as overtaking, following, turning left, turning right, and roundabouts.

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