Shulou(Shulou.com)11/24 Report--

CTOnews.com, August 18, according to the China Patent announcement website of the State intellectual property Office, China first Automobile Co., Ltd.'s "a method of determining driving ability, electronic equipment and storage medium" is specially authorized to be announced on August 18.

The invention relates to two fields of autopilot technology and brain-computer interface technology, and the main contents of the CTOnews.com summary are as follows:

Get the target EEG of the driver.

The target EEG signal is input into the pre-trained prediction model, and the target driving ability information of the driver is obtained.

According to the target driving ability information, the target driving ability level of the driver is determined.

It is said that the prediction model is the model obtained by "training the cyclic neural network based on the sample data set". The sample data set includes a number of sample data, each of which includes "training EEG signal and training driving ability information". The training driving ability information is generated "based on the driving information when collecting the corresponding training EEG signals".

The introduction of background technology shows that the invention is an application of brain-computer interface technology in the field of autopilot. In the current practical application of brain-computer interface in the field of autopilot, the driver's driving ability will directly affect the redistribution of control between the driver and the machine intelligence. The redistribution of control between driver and machine intelligence is closely related to the type of brain-computer interface system, the degree of interaction between driver and machine intelligence, driving safety and other factors.

However, at present, there is no unified standard for driving ability, which leads to instability in the application of brain-computer interface system in the field of autopilot. After determining the target driving ability level of the driver, the invention can determine the control weight of the driver and the control weight of machine intelligence in the brain-computer interface system according to the target driving ability grade.

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