CN-122009198-A - Vehicle and control method thereof

CN122009198ACN 122009198 ACN122009198 ACN 122009198ACN-122009198-A

Abstract

The invention provides a vehicle and a control method thereof, wherein the method comprises the steps of determining a driver gesture signal level according to WiFi channel state information; and executing a hierarchical emergency control strategy according to the driver gesture signal level. The control method of the vehicle is not affected by light and shielding, is adaptive to various driving scenes, does not need to acquire privacy information such as face and limb images of a driver, does not have privacy leakage risk, and simultaneously gives consideration to emergency control rationality and driving safety.

Inventors

ZHANG YAN
WANG PEILI
LI XIFENG
HU CHUNQIAO
CHEN XINGGUO

Assignees

比亚迪股份有限公司
比亚迪汽车工业有限公司

Dates

Publication Date: 20260512
Application Date: 20260323

Claims (10)

1. A control method of a vehicle, characterized by comprising: Determining a driver gesture signal level according to the WiFi channel state information; and executing a hierarchical emergency control strategy according to the driver gesture signal level.
2. The method of controlling a vehicle according to claim 1, wherein the determining the driver pose signal level from the WiFi channel state information includes: Acquiring key characteristics of the driver gesture corresponding to the WiFi channel state information; determining a matching result of the driver gesture according to the key features and a preset gesture library; and determining the driver attitude signal level according to the matching result.
3. The control method of a vehicle according to claim 1, characterized in that said executing a hierarchical emergency control strategy according to said driver posture signal level includes: Outputting a grading emergency instruction according to the driver gesture signal grade; And executing the hierarchical emergency strategy according to the hierarchical emergency instruction.
4. A control method of a vehicle according to claim 3, wherein said outputting a hierarchical emergency instruction according to the driver posture signal level includes: The gesture signal level of the driver is a first-level abnormal gesture signal, and the driver triggers an in-vehicle warning and sends out a first-level intervention action instruction; The driver gesture signal level is a secondary abnormal gesture signal, triggers the warning inside and outside the vehicle and sends out a secondary intervention action instruction.
5. The method according to claim 4, wherein the driver posture signal level is a secondary abnormal posture signal, and further comprising, after triggering the in-vehicle and out-of-vehicle warning and issuing the secondary intervention action command: When the vehicle has emergency guiding conditions, a target planning path corresponding to the second-level intervention action instruction is sent; And when the vehicle does not have the emergency guiding condition, sending an emergency braking instruction corresponding to the secondary intervention action instruction.
6. The method for controlling a vehicle according to claim 5, wherein the vehicle is provided with an emergency guide condition, comprising: acquiring vehicle operation data and traffic environment data within a preset vehicle operation range; And determining that the vehicle has emergency guiding conditions when the vehicle running data and the traffic environment data meet preset rules.
7. A control method of a vehicle according to claim 3, wherein the step of executing the hierarchical emergency policy according to the hierarchical emergency instruction further comprises: acquiring feedback information for executing a hierarchical emergency strategy; And updating the driver gesture according to the feedback information and the driver gesture.
8. The control method of a vehicle according to claim 1, characterized in that in the process of executing the hierarchical emergency control strategy according to the driver posture signal level, further comprising: monitoring the driver posture; Issuing an interference elimination action instruction when the posture of the driver is normal; and continuously sending out an interference action instruction after the driver posture is continuously abnormal.
9. The control method of a vehicle according to claim 1, characterized by further comprising, after said executing a hierarchical emergency control strategy according to said driver posture signal level: And sending the rescue information of the vehicle to a rescue organization according to the communication network.
10. A vehicle, characterized by comprising: A processor, a memory, and a control program of a vehicle stored on the memory and executable on the processor, which when executed by the processor, implements the control method of a vehicle as claimed in any one of claims 1 to 9.

Description

Vehicle and control method thereof Technical Field The invention relates to the technical field of intelligent driving, in particular to a vehicle and a control method thereof. Background Sudden abnormal conditions of the driver such as syncope, severe fatigue, distraction and the like are one of the important causes of malignant traffic accidents. After the abnormal state occurs, the driver loses the effective control capability of the vehicle, and at the moment, if the vehicle cannot be guided to a safe area such as an emergency lane in time and rescue is started, secondary accidents such as rear-end collision of multiple vehicles, side turning of the vehicles and the like are extremely easy to occur, and meanwhile, the gold treatment time or the rescue intervention time of the driver is delayed. For the detection of abnormal conditions of a driver, the detection becomes an important component factor for safe driving of a vehicle, however, a camera-based driver state monitoring means has a few limitations, a camera-based monitoring scheme is easily influenced by light and shielding, light influences such as night and tunnel strong light, shielding influences such as steering wheel and seat influence, and the camera-based monitoring scheme has low recognition accuracy and privacy leakage risk. Meanwhile, the vehicle emergency control strategy can only send out a single early warning signal, and can not execute differentiated treatment according to the state severity degree of a driver, such as mild fatigue, severe fatigue and syncope, so that the intervention rationality and the driving safety can not be considered. Disclosure of Invention The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, an object of the present invention is to provide a vehicle control method, which is not affected by light and shielding, adapts to various driving scenes, does not need to acquire privacy information such as face and limb images of a driver, does not have privacy leakage risk, and simultaneously combines emergency control rationality and driving safety. To this end, a second object of the invention is to propose a vehicle. In order to achieve the above object, an embodiment of a first aspect of the present invention proposes a control method of a vehicle, the method comprising determining a driver attitude signal level according to WiFi channel state information, and executing a hierarchical emergency control strategy according to the driver attitude signal level. According to the vehicle control method provided by the embodiment of the invention, the WiFi channel state information is acquired, the driver gesture signal level is determined, the WiFi CSI sensing technology is applied to the driver gesture signal level identification, and as the WiFi CSI is not influenced by light and shielding, nonmetallic barriers can be penetrated, the vehicle control method is suitable for full scenes such as high speed, tunnel, night driving and the like, breaks through the limitation that the traditional camera depends on illumination and is easy to be blocked and invalid, and accurately identifies various gestures such as normal, fatigue, distraction, syncope and the like of a driver. Meanwhile, wiFi channel state information is acquired, privacy information such as face and limb images of a driver is not acquired, privacy leakage risks of an image recognition scheme are avoided, the data compliance requirements are met, and meanwhile, grading emergency control strategies are executed according to the gesture signal level of the driver, namely, differentiated control is executed for different gesture signals of the driver, so that the intervention rationality and the driving safety are considered. In some embodiments, the determining the driver gesture signal level according to the WiFi channel state information comprises obtaining key features of the driver gesture corresponding to the WiFi channel state information, determining a matching result of the driver gesture according to the key features and a preset gesture library, and determining the driver gesture signal level according to the matching result. By extracting and matching the characteristics of the WiFi channel state information, the misjudgment probability is reduced, and the accurate recognition of the gesture of the driver is realized, so that the gesture signal level is output. In some embodiments, the executing the hierarchical emergency control strategy according to the driver attitude signal level includes outputting a hierarchical emergency command according to the driver attitude signal level, and executing the hierarchical emergency strategy according to the hierarchical emergency command. And integrating the hierarchical emergency control strategy and the path planning function, realizing decision-planning synchronous linkage, avoiding the problem of strategy and path mismatch caused by traditional