Vehicle control method

1. A vehicle control method comprising:

primarily acquiring state information of a driver and determining a drowsy state of the driver on the basis of the state information of the driver;

outputting a first warning when the drowsy state of the driver is recognized;

primarily measuring air inside a vehicle after the first warning;

measuring the air inside the vehicle, comparing the measured air with a predetermined fresh air set value, and switching to an outside air circulation mode or an inside air circulation mode according to a comparison result;

secondarily measuring the air inside the vehicle after switching to the outside air circulation mode or the inside air circulation mode;

secondarily acquiring state information of the driver through an internal camera of the vehicle after secondarily measuring the air inside the vehicle; and

outputting a second warning and controlling the vehicle according to the second warning when a drowsy state of the driver is recognized on the basis of the secondarily acquired state information of the driver.

2. The vehicle control method of claim 1 , wherein the measuring of the air inside the vehicle comprises measuring at least one of a harmful gas, a fine dust concentration, a carbon dioxide concentration and a carbon monoxide concentration.

3. The vehicle control method of claim 2 , wherein the measured air inside the vehicle is represented by an indoor air quality index and visualized by being output to a head-up display (HUD).

4. The vehicle control method of claim 2 , wherein the measuring of the air inside the vehicle comprises extracting harmful material values from the harmful gas, the fine dust concentration, the carbon dioxide concentration and the carbon monoxide concentration.

5. The vehicle control method of claim 1 , wherein the primarily acquired state information of the driver and the secondarily acquired state information of the driver include at least one of a number of times of closing an eyelid of the driver, an open size of the eyelid, and a moving speed of the eyelid, acquired by analyzing a camera image.

6. The vehicle control method of claim 1 , wherein the primarily acquired state information of the driver and the secondarily acquired state information of the driver include heart rate (HR) information acquired through at least one heart rate (HR) sensor, and the HR information includes a heart rate variability (HRV) signal.

7. The vehicle control method of claim 1 , wherein the determining of a drowsy state of the driver further comprises:

extracting feature values from sensing information acquired through at least one sensor; and

inputting the feature values to an artificial neural network (ANN) classifier trained to distinguish a wakeful state and a drowsy state of the driver from each other and determining a drowsy state of the driver from an output of the ANN,

wherein the feature values are values by which a wakeful state and a drowsy state of the driver are distinguished from each other.

8. The vehicle control method of claim 1 , further comprising transmitting a vehicle-to-everything (V2X) message including information related to a drowsy state of the driver to other terminals connected to the vehicle through communication.

9. The vehicle control method of claim 1 , wherein the controlling of the vehicle according to the second warning further comprises:

switching a driving mode of the vehicle from a manual driving mode to an autonomous driving mode; and

searching for a position at which the vehicle will be stopped and controlling the vehicle such that the vehicle moves to the searched position and driving is finished at the position in the autonomous driving mode.

10. The vehicle control method of claim 1 , further comprising receiving downlink control information (DCI) used to schedule transmission of state information of the driver, acquired from at least one sensor included in the vehicle, from a network,

wherein the primarily acquired state information of the driver and the secondarily acquired state information of the driver are transmitted to the network on the basis of the DCI.

11. The vehicle control method of claim 10 , further comprising performing an initial access procedure with the network on the basis of a synchronization signal block (SSB),

wherein the primarily acquired state information of the driver and the secondarily acquired state information of the driver are transmitted to the network over a Physical Uplink Shared Channel (PUSCH), and the SSB and a demodulation reference signal (DM-RS) of the PUSCH are quasi co-located (QCLed) for quasi-co-location (QCL) type D.

12. The vehicle control method of claim 11 , further comprising:

controlling a communication unit such that the primarily acquired state information of the driver and the secondarily acquired state information of the driver are transmitted to an artificial intelligence (AI) processor included in the network; and

controlling the communication unit such that AI-processed information is received from the AI processor,

wherein the AI-processed information is information representing a state of the driver determined to be a wakeful state or a drowsy state.