CN115556759A - Vehicle control method and device, storage medium and vehicle - Google Patents

Abstract

The invention discloses a vehicle control method, device, storage medium and vehicle. Wherein, the method includes: collecting at least two kinds of physiological parameters of the driver, the physiological parameters including facial parameters, voice parameters and behavior parameters; responding to at least one physiological parameter indicating that the driver needs to be assisted in driving the vehicle, and obtaining the driving speed of the vehicle ; Determine the control data of the vehicle based on the driving speed; control the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state. The invention solves the technical problem that the vehicle cannot be accurately controlled in the related art.

Description

Vehicle control method, device, storage medium and vehicle

technical field

The present invention relates to the field of vehicle control, in particular to a vehicle control method, device, storage medium and vehicle.

Background technique

The basic factors that cause traffic accidents are people, vehicles, roads, environment and management, among which people are the main factors. People can include motorists, cyclists, and pedestrians. Of course the driver is more important. Studies have shown that 92% of accidents are attributable to the driver. There are many reasons for drivers to cause traffic accidents, among which sudden illness causes slow action or consciousness, impaired behavioral ability or even coma leading to accidents account for a large proportion.

In related technologies, it is usually to try to wake up the driver through fatigue driving or distraction monitoring. However, the detection accuracy of fatigue driving or distraction monitoring is low. Due to the low detection accuracy, it is easy to trigger falsely. The driver easily interferes with the driver's normal driving.

For the above problems, no effective solution has been proposed yet.

Contents of the invention

Embodiments of the present invention provide a vehicle control method, device, storage medium and vehicle, so as to at least solve the technical problem in the related art that the vehicle cannot be accurately controlled.

According to one embodiment of the present invention, a vehicle control method is provided, including: collecting at least two physiological parameters of the driver, the physiological parameters including facial parameters, voice parameters and behavior parameters; responding to at least one physiological parameter characterization The driver needs to be assisted in driving the vehicle to obtain the driving speed of the vehicle; determine the control data of the vehicle based on the driving speed; control the vehicle to perform risk-avoiding operations based on the control data so that the vehicle state of the vehicle is in a safe state.

Optionally, the collecting at least two physiological parameters of the driver includes: obtaining environmental information of the vehicle; triggering the collection of the at least two physiological parameters based on the environmental information.

Optionally, when the physiological parameters include facial parameters, the environmental information includes light intensity, and the triggering the collection of the at least two physiological parameters based on the environmental information includes: responding to the light intensity being greater than a preset Set the illumination intensity threshold to collect the facial parameters of the driver.

Optionally, when the physiological parameters include speech parameters, the environmental information includes noise interference intensity, and the triggering the collection of the at least two physiological parameters based on the environmental information includes: responding to the noise interference intensity If it is less than a preset noise interference intensity threshold, the voice parameter of the driver is collected.

Optionally, when the physiological parameters include behavior parameters, the environmental information includes road stability information, the smooth information characterizes the smoothness of the vehicle running on the road, and the triggering based on the environmental information The collecting of the at least two physiological parameters includes: collecting the behavior parameters of the driver in response to the smoothness information being greater than a preset smoothness threshold.

Optionally, determining the control data based on the driving speed of the vehicle includes: in response to the driving speed being a target driving speed, determining that the control data is at least one of the following control data: window control data, air-conditioning control data , energy saving strategy, lighting control data, vehicle door control data and emergency call data; in the case that the control data is the vehicle window control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: based on the The vehicle window control data controls the opening and closing of the vehicle window of the vehicle; in the case that the control data is the air-conditioning control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: based on the The air conditioner control data controls the air conditioner in the vehicle to perform internal circulation; in the case where the control data is the energy saving strategy, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle based on the energy saving strategy the power state of the vehicle; in the case where the control data is the lighting control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle to turn left based on the lighting control data The light and the double flashing light perform double flashing; in the case that the control data is the vehicle door control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle based on the vehicle door control data If the control data is the emergency call data, controlling the vehicle to perform a safety avoidance operation based on the control data includes: controlling the vehicle to initiate a call request based on the emergency call data.

Optionally, determining the control data based on the driving speed of the vehicle includes: in response to the driving speed being greater than a target driving speed, determining that the control data is at least one of the following control data: driving data, lighting control data, vehicle door Control data, window control data, air-conditioning control data, and camera control data; in the case where the control data is the driving data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: based on the driving data Controlling the vehicle to perform automatic deceleration driving; in the case where the control data is the lighting control data, controlling the vehicle to perform a risk-avoiding operation based on the control data includes: controlling the vehicle based on the lighting control data The right turn lamp and the double flashing lamp flash alternately; in the case where the control data is the door control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle door control data based on the The vehicle door is locked; in the case that the control data is the vehicle window control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle window control data based on the vehicle window control data. The window is closed; in the case that the control data is the air-conditioning control data, controlling the vehicle to perform a hedging operation based on the control data includes: controlling the temperature in the vehicle based on the air-conditioning control data; In a case where the control data is the camera control data, controlling the vehicle to perform the avoidance operation based on the control data includes: controlling the camera in the vehicle to be turned on based on the camera control data.

According to one embodiment of the present invention, there is also provided a vehicle control device, including: a collection unit, configured to collect at least two physiological parameters of the driver, the physiological parameters including facial parameters, voice parameters and behavior parameters; An acquiring unit, configured to acquire a driving speed of the vehicle in response to at least one physiological parameter representing that the driver needs to be assisted in driving the vehicle; a determining unit, configured to determine control data of the vehicle based on the driving speed; a control unit, for controlling the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state

Optionally, the acquisition unit is further configured to acquire the environment information of the vehicle; and trigger the acquisition of the at least two physiological parameters based on the environment information.

Optionally, the collection unit is further configured to collect the facial parameters of the driver in response to the light intensity being greater than a preset light intensity threshold.

Optionally, the collection unit is further configured to collect the voice parameter of the driver in response to the noise disturbance intensity being less than a preset noise disturbance intensity threshold.

Optionally, the collection unit is further configured to collect the behavior parameters of the driver in response to the smoothness information being greater than a preset smoothness threshold.

Optionally, the determining unit is further configured to determine that the control data is at least one of the following control data in response to the driving speed being a target driving speed: window control data, air-conditioning control data, energy-saving strategy, lighting control data, door Control data and emergency call data.

Optionally, the control unit is further configured to control the opening and closing of the windows of the vehicle based on the window control data; control the power state of the vehicle based on the energy-saving strategy; control the vehicle based on the light control data The left turn light and the double flashing light of the vehicle are double-flashed; the vehicle door is controlled to be unlocked based on the vehicle door control data; and the vehicle is controlled to initiate a call request based on the emergency call data.

Optionally, the determining unit is further configured to determine that the control data is at least one of the following control data in response to the driving speed being greater than the target driving speed: driving data, lighting control data, car door control data, car window control data, air conditioner Control data and camera control data.

Optionally, the control unit is also used to control the vehicle to perform automatic deceleration driving based on the driving data; control the right turn light and double flashing lights of the vehicle to flash alternately based on the light control data; The data controls the locking of the doors of the vehicle; controls the closing of the windows of the vehicle based on the window control data; controls the temperature in the vehicle based on the air conditioning control data; controls the vehicle based on the camera control data The camera is turned on.

According to one embodiment of the present invention, a processor is also provided, and the processor is used to run a program, wherein the program is configured to execute any one of the vehicle control methods described above when running on the processor.

According to one embodiment of the present invention, there is also provided a vehicle, the vehicle includes a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the vehicle control method in any one of the above.

According to one embodiment of the present invention, a computer-readable storage medium is also provided, and a computer program is stored in the storage medium, wherein the computer program is configured to execute the method in the embodiment of the present invention when running on a computer or a processor. Vehicle control method.

In the embodiment of the present invention, a variety of physiological parameters of the driver are obtained, and the various physiological parameters are judged separately, so that when it is determined that the driver needs to be assisted in driving the vehicle, the vehicle is controlled to perform a risk-avoiding operation based on the control data, so as to The purpose of controlling the vehicle state of the vehicle to be in a safe state is achieved. That is to say, the embodiment of the present invention considers various types of physiological parameters, and judges whether the driver needs to be assisted in driving the vehicle from multiple aspects, so as to accurately determine that the vehicle needs to perform a risk avoidance operation, and then control the vehicle based on the control data. Control, realize the technical effect of precise control of the vehicle, and solve the technical problem that the vehicle cannot be accurately controlled.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a flow chart of a vehicle control method according to one embodiment of the present invention;

FIG. 2 is a flow chart of a method for unconscious active avoidance of vehicles according to one embodiment of the present invention;

FIG. 3 is a structural block diagram of a control device for a vehicle according to one embodiment of the present invention.

detailed description

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

According to one embodiment of the present invention, an embodiment of a vehicle control method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

Embodiments of the method may be performed in an electronic device including a memory and a processor, a similar control device or system located in a vehicle. Taking an electronic device as an example, the electronic device may include one or more processors and a memory for storing data. Optionally, the above-mentioned electronic device may further include a communication device and a display device for a communication function. Those of ordinary skill in the art can understand that the above structure description is only for illustration and does not limit the structure of the above electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a different configuration from the above structural description.

A processor may include one or more processing units. For example: the processor may include a central processing unit (central processing unit, CPU), a graphics processing unit (graphics processing unit, GPU), a digital signal processing (digital signal processing, DSP) chip, a microprocessor (microcontroller unit, MCU), Programmable logic device (field-programmable gate array, FPGA), neural network processor (neural-network processing unit, NPU), tensor processing unit (tensor processing unit, TPU), artificial intelligence (artificial intelligent, AI) type processing Processing devices such as devices. Wherein, different processing units may be independent components, or may be integrated in one or more processors. In some examples, an electronic device may also include one or more processors. In the embodiment of the present invention, the processor is used to execute the control method of the equipment in the vehicle in the embodiment of the present invention, for example, to execute the following steps S101-Step S108, and specific explanation steps for S101-Step S108.

The memory can be used to store computer programs, such as storing computer programs corresponding to the vehicle control method in the embodiment of the present invention (that is, the following steps S101-Step S108, and the computer programs corresponding to the specific explanation steps of Step S101-Step S108), The processor implements the above-mentioned vehicle control method by running the computer program stored in the memory. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the electronic device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Communication devices are used to receive or send data via a network. The specific example of the above network may include a wireless network provided by the communication provider of the mobile terminal. In one example, the communication device includes a network adapter (network interface controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the communication device may be a radio frequency (radio frequency, RF) module, which is used to communicate with the Internet in a wireless manner.

The display device may be, for example, a touch screen liquid crystal display (liquid crystal display, LCD) and a touch display (also referred to as a “touch screen” or a “touch display screen”). The liquid crystal display enables the user to interact with the user interface of the vehicle terminal. In some embodiments, the vehicle-mounted terminal has a graphical user interface (graphical user interface, GUI), and the user can perform human-computer interaction with the GUI by touching finger contacts and/or gestures on the touch-sensitive surface, and the human-computer interaction function here Optionally include the following interactions: video conferencing, instant messaging, call interface, playing digital video and/or playing digital music, etc. Executable instructions that can be used to perform the above human-computer interaction functions are configured/stored in one or more processor-executable computer program products or readable storage media.

In this embodiment, a method for controlling a vehicle running on an electronic device is provided. FIG. 1 is a flowchart of a method for controlling a vehicle according to an embodiment of the present invention. As shown in FIG. 1 , the method may include the following steps :

Step S102, collecting at least two physiological parameters of the driver, wherein the physiological parameters include facial parameters, voice parameters and behavior parameters.

In the technical solution provided in step S102 of the present invention, at least two physiological parameters of the driver can be collected. The physiological parameters may include facial parameters, voice parameters, and behavior parameters of the driver. Here, the physiological parameters are only used as examples, and no specific limitations are imposed on the physiological parameters. The physiological parameters may be used to characterize the physiological state of the driver. Behavioral action parameters may include the driver's body action parameters and key action parameters.

Optionally, the facial parameters may include parameters such as facial expressions and facial features positions. The voice parameter may be an instruction issued by the driver, for example, it may be an emergency voice instruction. The behavioral action parameter may be the behavioral action of the driver, for example, key operations, body movements, etc. may be used.

Optionally, this embodiment can collect a variety of physiological parameters through different types of collection methods, for example, facial parameters can be collected through facial information collection equipment, for example, various physiological parameters can be collected by image collection equipment, video surveillance intelligent systems, etc. Facial parameters, wherein, the image acquisition device can be a camera; the behavior action parameters can be collected through the behavior action acquisition device, for example, the body action parameters can be collected through the Driver Monitor System (DMS).

For example, various physiological parameters of the driver located in the driving position of the vehicle can be collected through media such as a video monitoring intelligent system (Virtual Image Management System, referred to as VISM), a voice module in the vehicle, or a vehicle-mounted multimedia host (head unit) .

Step S104, in response to at least one physiological parameter indicating that the driver needs to be assisted in driving the vehicle, and obtain the driving speed of the vehicle.

In the technical solution provided by the above-mentioned step S104 of the present invention, it is possible to judge various collected physiological parameters, determine whether the collected physiological parameters are used to indicate that the driver needs to be assisted in driving the vehicle, and respond to the existence of at least one physiological parameter Indicates that the driver needs to be assisted to drive the vehicle, and the driving speed of the vehicle can be obtained.

Optionally, at least two physiological parameters of the driver at the driving position in the vehicle can be collected through different collection methods, and it is judged whether the collected physiological parameters indicate that the driver needs to be assisted in driving the vehicle, if there is at least one physiological parameter for It indicates that the driver needs to be assisted in driving the vehicle, which means that the driver is or will not be able to drive the vehicle normally at this time, and at this time it is necessary to assist the vehicle in driving (emergency avoidance), so as to ensure the safety of the vehicle and the objects in the vehicle. In response to at least one physiological parameter indicating that the driver needs to be assisted in driving the vehicle, the driving speed of the vehicle can be retrieved, and the control data for controlling the vehicle can be determined based on the driving speed of the vehicle, so that the vehicle can be controlled more accurately according to the actual situation. control.

Optionally, predetermined information may be preset in advance, based on the predetermined information, the various collected physiological parameters are judged, and it is judged whether the collected physiological parameters indicate that the driver needs to be assisted in driving the vehicle. For example, the predetermined information can be "unable to drive", and when the voice parameter contains the information "unable to drive", the physiological parameter can be used to indicate that the driver is unable to drive the vehicle normally at this time or will soon, and needs to be assisted in driving the vehicle. The driving speed of the vehicle can be obtained, and the control data for the vehicle can be determined based on the driving speed.

For example, the predetermined behavior information can be preset in advance as "high-frequency continuous clicking or long pressing of the square control hard button" or "6 consecutive clicks on button a", then when the collected driver's behavior parameters are When "click the button a for 6 consecutive times in the program application", it can be determined that the driver is not driving the vehicle normally at the moment, or the driver is in a situation that is about to be unable to drive the vehicle normally, and the behavior parameters in the physiological parameters can be determined for Indicates that the driver needs to be assisted to drive the vehicle, and the driving speed of the vehicle can be obtained.

For another example, facial parameters are collected. If the facial parameters are "frowning eyebrows and the corners of the mouth move down", it can indicate that the driver needs to be assisted in driving the vehicle at this time, and the driving speed of the vehicle can be obtained.

In order to avoid the technical problem of untimely control of the vehicle due to the low recognition accuracy of the driver in the related art, the embodiment of the present invention can acquire various physiological parameters of the vehicle through multiple aspects, for example, the facial parameters of the driver can be collected, Voice parameters, behavioral action parameters, etc., can judge a variety of physiological parameters collected, so that the information that the driver needs to be assisted in driving the vehicle can be quickly captured from multiple aspects, so as to quickly control the vehicle and realize the control of the vehicle. The technical effect of accurate control solves the technical problem that the vehicle cannot be accurately controlled in the prior art, and further ensures the driving safety of the driver in the vehicle.

Step S106, determining the control data of the vehicle based on the driving speed.

In the technical solution provided by the above-mentioned step S106 of the present invention, at least two physiological parameters of the driver can be collected, and at least one physiological parameter can be judged to indicate that the driver needs to be assisted in driving the vehicle, and at least one physiological parameter can be used to characterize the driver To be assisted in driving a vehicle, the driving speed of the vehicle can be obtained, and the control data of the vehicle can be determined based on the driving speed. Among them, the control data can be the data that controls the components in the vehicle, and can be used to control the vehicle to perform active risk avoidance operations. For example, it can be the data that controls the components such as windows and air conditioners in the vehicle; it can also be the data that controls the vehicle to perform automatic driving. Etc., here is just an example, the control data can be added or deleted according to the actual situation, and there is no specific limitation here.

Optionally, in response to at least one physiological parameter indicating that the driver needs to be assisted in driving the vehicle, it can be determined that the vehicle is currently at risk during driving, the driving speed of the vehicle can be retrieved, and the control data of the vehicle can be determined based on the driving speed. Based on the control The data controls the vehicle to ensure the safety of the driver.

For example, given that a limb is hitting the head with a fist, a physiological parameter may characterize the driver's need to be assisted in driving the vehicle. Optionally, if the physiological parameter of the driver is hitting the head with a fist at this time, it can be determined that the behavior parameter represents that the driver needs to be assisted in driving the vehicle, and in response to the behavior parameter representing that the driver needs to be assisted in driving the vehicle, the driver can be adjusted. Taking the driving speed of the vehicle, the control data of the vehicle can be determined based on the acceleration or driving speed in the driving speed.

For another example, for different driving speeds, the control data corresponding to the driving speed in each case has been preset in the database in advance, and the corresponding control data can be determined from the database according to the driving speed. It should be noted that the above method for determining control data is only an example, and an appropriate method for determining control data may be selected according to actual conditions.

Step S108, based on the control data, the vehicle is controlled to perform a risk avoidance operation, so that the vehicle state of the vehicle is in a safe state.

In the technical solution provided by the above step S108 of the present invention, the vehicle can be controlled to perform a risk avoidance operation based on the determined control data, so that the vehicle state of the controlled vehicle is in a safe state. The safe state can refer to the state in which the vehicle will not be involved in a car accident due to the abnormal driving of the driver, or it can be the state in which the vehicle will not be collided by other vehicles during parking, for example, when the driver cannot During normal driving, the vehicle can be controlled to drive automatically based on the control data until the vehicle stops safely, so that the vehicle state can be kept in a safe state.

Through the above-mentioned steps S102 to S108 of the present invention, a variety of physiological parameters of the driver are obtained, and by judging the various physiological parameters, it is determined that the driver needs to be assisted in driving the vehicle, and the vehicle is controlled to avoid danger based on the control data Operation, in order to achieve the purpose of controlling the vehicle state of the vehicle to be in a safe state. That is to say, the embodiment of the present invention considers various types of physiological parameters, and judges whether the driver needs to be assisted in driving the vehicle from multiple aspects, so as to accurately determine that the vehicle needs to perform a risk avoidance operation, and then control the vehicle based on the control data. Control, realize the technical effect of precise control of the vehicle, and solve the technical problem that the vehicle cannot be accurately controlled.

The above-mentioned method of this embodiment will be further introduced below.

As an optional implementation manner, in step S102, collecting at least two physiological parameters of the driver includes: obtaining environmental information of the vehicle, and triggering the collection of the at least two physiological parameters based on the environmental information.

In this embodiment, environmental information of the environment in which the vehicle is located can be acquired, and collection of at least two physiological parameters can be triggered based on the environmental information. Wherein, the environmental information may include but not limited to the intensity of light in the environment, the bumpiness of the road on which the vehicle is driving, the volume of noise in the environment, and the like.

For example, the information collection device can be triggered to disable at least two physiological parameters based on environmental information, wherein the information collection device for facial parameters can be a video surveillance intelligent system, camera, etc.; the information collection device for voice parameters can be a microphone, voice module, etc.; the behavior collection device can be an application program interface, etc. It should be noted that the above-mentioned information collection equipment is only an example for illustration, and no specific limitation is made here.

Optionally, in this embodiment, the environment information of the environment where the vehicle is located may be acquired, and the collection of at least two physiological parameters may be triggered based on the environment information. That is to say, the collection of physiological parameters in the embodiment of the present invention triggers the information collection equipment to complete the collection of at least two physiological parameters through environmental information, thereby avoiding that the information collection equipment is always in the working state to collect physiological parameters, resulting in invalid vehicles. Loss, especially in an environment that is not suitable for information collection equipment to collect corresponding physiological parameters, for example, it is not suitable for facial collection equipment to collect facial parameters in too dark scenes; it is not suitable for voice collection equipment to collect voice parameters in too noisy environments, etc. Condition.

This embodiment can select an appropriate information collection method based on the environment information of the vehicle. For example, when the light intensity of the environment is high, a video monitoring intelligent system and a camera can be used to collect the facial parameters of the driver. When the intensity is weak, if you continue to use the video surveillance intelligent system and camera to collect the driver's facial information, the collected facial information may be inaccurate, and it is easy to misjudge whether the driver needs to be assisted in driving the vehicle, which will lead to inaccurate determination. Whether the target vehicle is required to perform a risk avoidance operation. In this case, other information collection devices other than the video monitoring intelligent system and the camera can be triggered to collect corresponding physiological parameters. In this way, on the one hand, the accuracy of successful collection of various physiological parameters can be improved; on the other hand, for collection methods that are not suitable for the current environment, the information collection equipment can not be triggered to collect the corresponding physiological parameters, thereby avoiding Due to the collection of physiological parameters by the information collection equipment in real time, a large amount of invalid data is collected, which further avoids the loss of the vehicle caused by the collection of a large amount of invalid data and the processing of the invalid data, and effectively reduces the energy consumption of the vehicle the goal of.

As an optional implementation manner, when the physiological parameters include facial parameters, the environmental information includes light intensity, and triggering the acquisition of at least two physiological parameters based on the environmental information includes: responding to the light intensity being greater than a preset light intensity threshold, collecting The facial parameters of the driver.

In this embodiment, when the physiological parameters include facial parameters, the environmental information may include light intensity in the environment where the vehicle is located, and the information collection device may include a facial information collection device. It can be judged whether the light intensity in the environmental information is greater than the preset light intensity of the facial information collection device. If the light intensity is greater than the preset light intensity of the facial information collection device, it can be determined that the facial information collection device is not blocked and is in The lighting environment for capturing faces. In response to the light intensity being greater than the light intensity threshold preset by the facial information collection device, the facial information collection device may be triggered to collect facial parameters corresponding to the driver. Wherein, the preset light intensity threshold may be a preset value that can be used to trigger the facial information collection device. The facial information collection device may be a camera, etc., which is not specifically limited here.

Considering that in a relatively dim environment or when the facial information collection device is blocked, even if the facial parameters are collected, there will be invalid data that is unclear or unrecognizable. Processing invalid data will not only reduce the efficiency of data processing, affect the reaction speed of the vehicle, but also increase the energy consumption of the vehicle. The embodiment of the present invention pre-sets the light intensity threshold. Only when the light intensity in the environment where the vehicle is located is greater than the light intensity threshold preset by the facial information collection device will the facial information collection device be triggered to collect the corresponding facial parameters of the driver. Therefore, the energy consumption of the vehicle is reduced and the efficiency of data processing is improved.

Optionally, when the vehicle is in a relatively dim environment, although the facial parameters cannot be collected by the facial information collection device in the triggered vehicle, it is still possible to collect corresponding physiological parameters through other information collection devices to determine whether the driver needs to Assisted driving vehicles, for example, collect physiological parameters through voice information collection equipment and/or behavioral action collection equipment, so as to realize whether the driver needs to be assisted in driving from different aspects, and then accurately determine the need to perform on the vehicle. Hedging operation.

As an optional implementation manner, when the physiological parameters include voice parameters, the environmental information includes noise interference intensity, and triggering the collection of at least two physiological parameters based on the environmental information includes: responding to the noise interference intensity being less than the preset noise interference intensity Threshold, collect the voice parameters of the driver.

In this embodiment, the environmental information may include the intensity of noise interference in the environment where the vehicle is located, and the information collection device may include a voice information collection device. It can be judged whether the noise interference intensity in the environmental information is less than the noise interference intensity threshold preset by the voice information collection device. Accurately collect effective speech parameters. In response to the noise interference intensity being less than the noise interference intensity threshold preset by the voice information collection device, the voice information collection device may be triggered to collect the voice parameters corresponding to the driver. Wherein, the noise interference intensity threshold may be a preset value used to trigger the voice information collection device. The voice information collecting device may be a device such as a microphone, which is not specifically limited here.

Considering that in a relatively noisy environment, even if the voice parameters are collected, there will be unclear or indistinguishable invalid data collected. Processing invalid data will not only reduce the efficiency of data processing, affect the reaction speed of the vehicle, but also increase the energy consumption of the vehicle. The embodiment of the present invention pre-sets the noise interference intensity threshold. Only when the noise interference intensity in the environment where the vehicle is located is less than the noise interference threshold preset by the voice information collection device, will the voice information collection device be triggered to collect the corresponding voice from the driver. parameters, so as to achieve the effect of reducing vehicle energy consumption and improving the efficiency of data processing.

Optionally, when the vehicle is in a relatively noisy environment, although the voice information collection device in the vehicle cannot be triggered to collect voice parameters, other information collection devices can still be used to collect corresponding physiological parameters to determine whether the driver is interested in the vehicle. Judgment of normal driving, for example, physiological parameters can be collected through facial information collection equipment and/or behavioral action collection equipment, so as to ensure that whether the driver is driving the vehicle normally can be judged from different aspects, and then it can be accurately determined whether it is necessary to The vehicle performs an evasive maneuver.

As an optional implementation, when the physiological parameters include behavioral action parameters, the environmental information includes road stability information, which represents the smoothness of the vehicle running on the road, and triggers the collection of at least two physiological parameters based on the environmental information, The method includes: collecting behavioral parameters of the driver in response to the smoothness information being greater than a preset smoothness threshold.

In this embodiment, the environmental information may include information about the stability of the road on which the vehicle is traveling, and the information collection device may include a behavior information collection device. It can judge the stability information of the road on which the vehicle is driving. The stability information can represent the stability of the vehicle on the road, and judge whether the stability of the vehicle on the road is greater than the preset stability threshold of the behavior information collection device. If it is stable If the degree of stability is greater than the preset smoothness threshold of the behavior information collection device, it can be determined that the driving of the vehicle is relatively stable at this time, and the operation interface in the vehicle is not easily triggered by mistake. In response to the smoothness being greater than the smoothness threshold preset by the behavioral action information collection device, the behavioral action information collection device may be triggered to collect the corresponding behavioral action information of the driver. Wherein, the smoothness threshold may be a preset value used to trigger the behavior collection device. The behavior information collection device may be a vehicle display screen, an operation button in the vehicle, etc., and there is no specific limitation here.

Considering that when the vehicle is running unsteadily and relatively bumpy, it is easy to mis-trigger the behavior information collection device, in the embodiment of the present invention, in order to avoid the vehicle from being mis-triggered, the smoothness threshold can be set in advance, only When it is determined that the vehicle is driving in a stable state and there is no false trigger, the behavior information collection device will be triggered to collect the corresponding behavior parameters of the driver, so as to achieve the purpose of improving the accuracy of data processing.

It should be noted that, in order to accurately detect whether the driver is driving the vehicle normally, the embodiment of the present invention can not only trigger an appropriate information collection device based on environmental information, but also set the trigger information collection device to collect physiological parameters at the same time, for example, A smaller light intensity threshold, a larger noise interference intensity threshold, and a smaller smoothness threshold can be set at the same time, so that all information collection devices can be triggered to collect physiological parameters no matter what the situation is, but only the collected A variety of physiological parameters are used to represent the driver's driving speed of the vehicle when the vehicle is not normally driven, and the control parameters can be determined based on the driving speed, thereby achieving the purpose of improving the accuracy of vehicle control The information collection conditions for triggering information collection equipment are pre-set to realize the collection method that can flexibly control various physiological parameters according to the actual situation and the driver's habits.

As an optional implementation manner, determining the control data based on the driving speed of the vehicle includes: in response to the driving speed in the driving speed being the target driving speed, determining that the control data is at least one of the following control data: window control data, air conditioning control data data, energy-saving strategy, lighting control data, door control data, and emergency call data; in the case that the control data is window control data, the vehicle is controlled to perform risk avoidance operations based on the control data, including: the vehicle is controlled based on the window control data. Opening and closing of windows; when the control data is air-conditioning control data, controlling the vehicle to perform risk-avoiding operations based on the control data, including: controlling the air-conditioning in the vehicle to perform internal circulation based on the air-conditioning control data; when the control data is an energy-saving strategy, Controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the power state of the vehicle based on an energy-saving strategy; in the case where the control data is lighting control data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle based on the lighting control data If the control data is the door control data, control the vehicle to perform a risk avoidance operation based on the control data, including: control the door unlocking of the vehicle based on the door control data; if the control data is emergency In the case of call data, controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle to initiate a call request based on the emergency call data.

In this embodiment, it can be determined whether the driving speed in the driving speed is the target driving speed, and in response to the driving speed being the target driving speed, it can be determined that the control data is at least one of the following control data: window control data, air conditioning control data, Energy saving strategy, light control data, door control data, and emergency call data. Wherein, the target driving speed may be a preset driving speed, which may be 0.

The embodiment of the present invention can determine the corresponding control data according to the driving speed of the vehicle, thereby improving the efficiency of controlling the vehicle. It should be noted that the above-mentioned control methods are for illustration only, and do not specifically limit the types and expressions of the control methods.

For example, when the driving speed of the vehicle is 0, it can be determined that the control data is at least one of the following control data: window control data, air-conditioning control data, energy saving strategy, lighting control data, door control data and emergency call data, which can be Determine the corresponding control data when the driving speed is 0 from the preset database.

In this embodiment, the window control data of the vehicle can be determined based on factors such as the air quality and light intensity at the location of the vehicle. operation, wherein the avoidance operation may include controlling the opening and closing of the windows of the vehicle based on the window control data.

In this embodiment, if the control data is air-conditioning control data, the vehicle may be controlled to perform a risk avoidance operation based on the air-conditioning control data.

Optionally, when the control data is air-conditioning control data, the air-conditioning in the vehicle can be controlled to perform internal circulation based on the air-conditioning control data, and the air-conditioning control data can control the temperature of the air-conditioning based on the temperature inside and outside the vehicle, so as to ensure that the temperature in the vehicle is appropriate.

For example, the ambient temperature of the vehicle can be obtained based on the environment engine, and the environment engine can output air-conditioning control data and window control data according to the environment temperature, so that the opening and closing of the windows can be controlled through the window control data, and the air-conditioning control The data-controlled air conditioner actively adjusts the cabin temperature to avoid secondary damage to the driver caused by too high or too low temperature inside the car.

In this embodiment, in the case that the control data is an energy-saving strategy corresponding to the vehicle, the vehicle may be controlled to perform a risk avoidance operation based on the energy-saving strategy.

Optionally, the energy-saving strategy corresponding to the vehicle can be determined based on the type of the vehicle, and when the control data is the energy-saving strategy, the power supply state of the vehicle can be controlled based on the energy-saving strategy. Considering the different power supply strategies of fuel oil, pure electric vehicle (EV for short), and plug-in hybrid electric vehicle (PHEV for short), and the rescue time may be longer, on the premise of ensuring the normal operation of the above functions , different energy-saving strategies can be selected according to the vehicle type. For example, fuel vehicles can simulate the strategy of plug-in hybrid vehicles, the engine will be turned off after charging, and charging will automatically start when the battery is insufficient. In order to ensure that the vehicle can work for a long time, different energy-saving strategies can be selected according to different types of vehicles.

In this embodiment, in order to warn passing vehicles, the control data can be determined to be lighting control data, and if the control data is lighting control data, the vehicle can be controlled to perform risk avoidance operations based on the lighting control data.

Optionally, in the case that the control data is light control data, the left turn light and the double flash light of the vehicle can be controlled to double flash based on the light control data. For example, it is possible to change the alternate flashing of the right turn light and the double flashing lights of the lights in the vehicle to double flashing, and the periodic whistle to attract the attention of pedestrians and remind passing vehicles to avoid. It should be noted that, the manner or frequency of light flickering may be determined according to actual conditions.

In this embodiment, for the convenience of rescue, it may be determined that the control data is the door control data, and in the case that the control data is the door control data, the vehicle may be controlled to perform a risk avoidance operation based on the door control data.

Optionally, in the case that the control data is the door control data, the door unlocking of the vehicle can be controlled based on the door control data, and when the door is opened, the camera in the cockpit can be turned on to record and save the video, so as to better ensure the safety of the vehicle. safety of passengers.

In this embodiment, if the control data is emergency call data, the vehicle may be controlled to perform a risk avoidance operation based on the emergency call data.

Optionally, when the control data is emergency call data, the vehicle can be controlled to initiate a call request based on the emergency call data, for example, a voice broadcast (Text To Speech, referred to as TTS) or a voice call for help broadcast can be turned on, or it can be started automatically Actively dial a one-key phone rescue (for example, B-call or I-call), so as to send a distress signal to the car owner by contacting the emergency contact; you can contact the emergency contact by means of push messages, text messages, or phone calls.

As an optional implementation manner, in response to the driving speed being greater than the target driving speed, it is determined that the control data is at least one of the following control data: driving data, lighting control data, car door control data, car window control data, air conditioning control data and camera Control data; when the control data is driving data, controlling the vehicle to perform risk avoidance operations based on the control data includes: controlling the vehicle to perform automatic deceleration driving based on the driving data; when the control data is lighting control data, controlling the vehicle based on the control data Executing the risk avoidance operation includes: controlling the vehicle's right turn light and double flashing lights to alternately flash based on the light control data; in the case that the control data is the door control data, controlling the vehicle to perform the risk avoidance operation based on the control data includes: based on the door control data controlling the locking of the vehicle doors; in the case that the control data is the window control data, controlling the vehicle to perform the risk avoidance operation based on the control data includes: controlling the closing of the vehicle windows based on the window control data; In this case, controlling the vehicle to perform the risk-avoiding operation based on the control data includes: controlling the temperature in the vehicle based on the air-conditioning control data; in the case where the control data is camera control data, controlling the vehicle to perform the risk-avoiding operation based on the control data includes: controlling the vehicle based on the camera control data Control the opening of the camera in the vehicle.

In this embodiment, it can be determined whether the driving speed in the driving speed is the target driving speed, and in response to the driving speed being greater than the target driving speed, it can be determined that the control data is at least one of the following control data: driving data, lighting control data, door control data data, window control data, climate control data, and camera control data.

Optionally, since the driving speed is greater than the target driving speed, it can be determined that the vehicle is still driving, but at this time the driver needs to be assisted in driving the vehicle, and the vehicle's unconscious risk avoidance has been turned on, so it can be determined that the control data is driving data for the vehicle Entering the automatic driving mode, if the control data is driving data, the vehicle can be controlled to automatically decelerate driving based on the driving data.

For example, the intelligent driving module can control the vehicle for automatic driving. The intelligent driving module can turn on the automatic driving to take over the driving of the vehicle, and control the vehicle to avoid obstacles, determine the slow speed of the lane, and pull over to ensure the safe driving of the vehicle until it pulls over.

In this embodiment, if the control data is light control data, the vehicle may be controlled to perform a risk avoidance operation based on the light control data.

Optionally, it may be determined that the control data is lighting control data, and in the case that the control data is lighting control data, the vehicle's right turn light and double flashing lights may be controlled to flash alternately based on the light control data. For example, the lights in the vehicle can be controlled through the light module to turn on the right turn light and the double flashing lights of the lights in the vehicle to flash alternately, and to sound the whistle periodically to remind passing vehicles and pedestrians to pay attention to avoiding.

In this embodiment, in the case that the control data is the door control data, the vehicle may be controlled to perform the avoidance operation based on the door control data.

Optionally, when the physiological parameter indicates that the driver needs to be assisted in driving the vehicle, in order to ensure the safety of the driver, the control data can be determined as the door control data, and in the case that the control data is the door control data, the vehicle is controlled based on the door control data. The doors are locked to ensure the safety of the driver.

In this embodiment, if the control data is the window control data, the vehicle may be controlled to perform the risk avoidance operation based on the window control data.

Optionally, when the control data is the window control data, the air conditioner in the vehicle can be controlled to perform internal circulation based on the air conditioner control data, and the air conditioner control data can control the temperature of the air conditioner based on the temperature inside and outside the vehicle, so as to ensure that the temperature in the vehicle is appropriate.

In this embodiment, if the control data is air-conditioning control data, the vehicle may be controlled to perform a risk avoidance operation based on the air-conditioning control data.

Alternatively, in a case where the control data is air-conditioning control data, the temperature in the vehicle may be controlled based on the air-conditioning control data. The ambient temperature of the vehicle can be obtained based on the environmental engine, and the environmental engine can output air-conditioning data according to the ambient temperature, so as to turn on the automatic air-conditioning and actively adjust the cabin temperature to avoid secondary damage to the driver caused by too high or too low temperature in the car.

In this embodiment, if the control data is camera control data, the vehicle may be controlled to perform a risk avoidance operation based on the air-conditioning control data.

Optionally, when the control data is camera control data, the camera in the vehicle is controlled to be turned on based on the camera control data. For example, the whole car camera (for example, 360 camera) can be turned on for loop recording. The video files from 10 minutes before the function is turned on to after the car is parked are reserved.

In the embodiment of the present invention, the driver's face can be recognized by the video monitoring intelligent system, emergency voice commands, hard keys, soft keys, etc. can wake up the vehicle to perform unconscious risk avoidance control. During the driving process, it is determined based on physiological parameters whether the driver needs to be assisted in driving the vehicle. If it is determined that the driver needs to be assisted in driving the vehicle, the unconscious risk avoidance function will intervene, and the automatic driving intervention can be called to take over the driving of the vehicle, switch lights, slow down slowly, and pull over Ways such as stopping the vehicle and honking the horn to protect the occupants of the vehicle from the threat of traffic accidents. At the same time, you can actively dial a one-key rescue call (for example, B-call or I-call), so as to send a distress signal to the car owner by contacting the emergency contact. . Through intelligent adjustment of air conditioning, opening and closing of car windows, opening and closing of sunroof, seat heating and ventilation, etc., the internal environment of the cockpit will not cause secondary damage to the driver, and it can try to wake up the owner or driver through seat massage, music, voice broadcast, etc. Play the voice and audio for help to the surroundings, thus solving the technical problem that the vehicle cannot be accurately controlled, and achieving the technical effect of precise control of the vehicle.

The embodiment of the present invention acquires various physiological parameters of the driver, and by separately judging the various physiological parameters, when the driver needs to be assisted in driving the vehicle, the vehicle is controlled to perform risk-avoiding operations based on the control data, so as to achieve the purpose of controlling the vehicle The purpose of the state being in a safe state, that is, by considering various physiological parameters, judging whether the driver needs to be assisted in driving the vehicle from multiple aspects, so as to accurately determine the need to perform a risk-avoiding operation on the vehicle, and realize the technology of precise control of the vehicle The effect is to solve the technical problem that the vehicle cannot be accurately controlled.

The above technical solutions of the embodiments of the present disclosure will be further introduced by way of examples in combination with preferred embodiments below.

Causes of traffic accidents The basic factors causing traffic accidents are people, vehicles, roads, environment and management. Among them, people are the main factor. A person may include a car driver (driver), a cyclist, a pedestrian, and the like. Some experiments have analyzed the traffic accidents from 1979 to 1980, and the results show that 92% of the accidents are attributable to the driver. There are many reasons for drivers to cause traffic accidents, but the sudden illness of the driver causes slow action or consciousness, impaired behavior or even coma, which account for a large proportion.

At present, a large number of real car applications have fatigue driving recognition, distraction monitoring and other methods. For example, based on fatigue driving, when fatigue driving or distraction monitoring fails to wake up the owner, unconscious risk avoidance will intervene to ensure driving safety. , the above-mentioned method has a low accuracy rate for identifying people in the vehicle, and there is a problem that the vehicle is not controlled in time, resulting in abnormal driving of the vehicle.

In order to solve the problem of abnormal driving of the vehicle due to the abnormality of the driver's body, the embodiment of the present invention proposes an unconscious risk avoidance function scheme based on the video surveillance intelligent system.

In the embodiment of the present invention, the driver's face can be recognized through a video monitoring intelligent system (Virtual Image Management System, referred to as VIMS), and whether the driver is suddenly ill is determined based on the recognition result during driving. After the vehicle is recognized, if it is determined If the driver is suddenly ill, the unconscious risk avoidance function will intervene. The automatic driving can be called to take over the driving of the vehicle, switch the lights, slow down slowly, stop by the side, and sound the whistle to warn the occupants of the vehicle from the threat of traffic accidents. At the same time, you can actively dial a one-key rescue call (for example, B-call or I-call), so as to send a distress signal to the car owner by contacting the emergency contact. . Through intelligent adjustment of air conditioning, opening and closing of car windows, opening and closing of sunroof, seat heating and ventilation, etc., the internal environment of the cockpit will not cause secondary damage to the driver, and it can try to wake up the owner or driver through seat massage, music, voice broadcast, etc. Play help voice audio around.

Fig. 2 is a flowchart of a method for unconscious active avoidance of vehicles according to one embodiment of the present invention. As shown in Fig. 2 , the method for unconscious active avoidance of vehicles in the embodiment of the present invention may include the following steps.

Step S202, waking up the vehicle to perform unconscious risk avoidance control.

In this embodiment, the intelligent system of video surveillance can be used to recognize the driver's face, emergency voice commands, hard keys, soft keys, etc. to wake up the vehicle for unconscious risk avoidance control.

Visually, the driver's face can be recognized through the video surveillance intelligent system. At that time, the recognition result is used to indicate that the driver's state is abnormal, and the vehicle can be awakened to perform unconscious risk avoidance control.

Alternatively, any person in the vehicle can speak the emergency voice command set in advance, and in the wake-free state, directly trigger the vehicle's unconscious avoidance.

Alternatively, the vehicle's unconscious risk avoidance can be triggered by means of square control hard buttons (referred to as hard buttons), wherein, the custom buttons of square control can be pre-set, for example, the hard buttons can be high-frequency continuous clicks or Press.

Alternatively, the vehicle's unconscious risk avoidance can be triggered by means of soft keys. For example, the hidden start mode can be set. After clicking a button (soft key) 6 times in the program application interface (DOCK), the vehicle's Unconscious risk aversion.

It should be noted that the above triggering methods are only examples for illustration, and no specific limitation is set here. In actual situations, corresponding triggering methods may be set according to actual needs.

Step S204, the control mode of unconscious risk avoidance is activated, and the driving speed of the vehicle is determined.

In this embodiment, when the control mode of unconscious avoidance is turned on, it can be further determined whether the vehicle is still driving. In the embodiment of the present invention, different auxiliary rescue methods are provided for vehicles in different states, thereby improving the auxiliary rescue function of the vehicle. s efficiency.

Optionally, it may be determined whether the vehicle is still running by judging whether the driving speed of the vehicle (which may be referred to as vehicle speed for short) is greater than 0.

Step S206, when the vehicle speed is greater than 0, control vehicle driving, lights, air conditioners, cameras, doors and windows in the vehicle.

In this embodiment, when the vehicle speed is greater than 0, it can be determined that the vehicle is still driving, and then the automatic driving of the vehicle, lights, air conditioners, cameras, doors and windows in the vehicle can be controlled.

Optionally, when the vehicle's unconscious risk avoidance is turned on but the vehicle is still driving, the intelligent driving module can be used to control the vehicle for automatic driving. The intelligent driving module can turn on the automatic driving to take over the driving of the vehicle, and control the vehicle to avoid obstacles, determine the slow speed of the lane, and pull over to ensure the safe driving of the vehicle until it pulls over.

Optionally, the light in the vehicle is controlled through the light module to turn on the right turn light and the double flashing lights of the vehicle lights to flash alternately, and to sound the whistle periodically to remind passing vehicles and pedestrians to pay attention to avoiding.

Optionally, close the windows and lock the doors.

Optionally, based on the ambient temperature obtained by the environmental engine, the environmental engine can output air-conditioning data according to the ambient temperature, thereby turning on the automatic air-conditioning and actively adjusting the temperature of the cabin, so as to avoid excessive or low temperature in the vehicle from causing secondary damage to the driver. injury.

Optionally, turn on the whole car camera (for example, 360 camera) for loop recording. The video files from 10 minutes before the function is turned on until after the car is parked are reserved.

Step S208, the vehicle speed is equal to 0, the automatic driving is turned off, and the lights, air conditioners, cameras, doors and windows and other equipment in the vehicle are controlled.

In this embodiment, when the vehicle speed is 0, automatic driving is turned off, and equipment such as lights, air conditioners, cameras, doors and windows in the vehicle are controlled.

Optionally, when the vehicle's unconscious risk avoidance is turned on and the vehicle is in a stopped state, automatic driving can be turned off and the energy-saving strategy can be turned on.

It can change the alternate flashing of the right turn light and double flashing lights of the vehicle lights into double flashing, and periodically honk to attract the attention of pedestrians, prompting passing vehicles to avoid.

The ambient temperature of the vehicle can be obtained based on the environmental engine, and the environmental engine can output air-conditioning data and window data according to the ambient temperature, so that the cabin temperature can be actively adjusted by controlling the opening and closing of the window and the air conditioner to avoid excessive temperature or Too low will cause secondary injury to the driver.

For example, the air conditioner can be switched to internal circulation, which is not necessary for electric vehicle models; it can be judged based on weather data whether to open the window or sunroof in the vehicle.

TTS or voice help announcement can be turned on.

The doors can be unlocked for easy rescue. When the door is opened, the camera in the cockpit can be turned on to record and save the video, so as to better ensure the safety of the passengers in the vehicle.

When the vehicle status does not change, the camera of the whole vehicle can turn on the abbreviation function, so as to achieve the purpose of recording any abnormal status.

It can automatically initiate a one-key call for rescue (for example, B-call or I-call), so as to send a distress signal to the car owner by contacting the emergency contact; the emergency contact can be contacted by means of push messages, text messages, or phone calls.

In this embodiment, considering the different power supply strategies of fuel oil, pure electric vehicles, and plug-in hybrid electric vehicles, and the rescue time may be longer, different energy-saving strategies can be selected according to the vehicle type under the premise of ensuring the normal operation of the above functions. For example, fuel vehicles can simulate the strategy of plug-in hybrid vehicles, the engine will be turned off after charging, and charging will automatically start when the battery is insufficient.

Step S210, the vehicle returns to a normal state.

In this embodiment, when the car door is opened, or by clicking a button on the screen of the vehicle-mounted multimedia host (HUT), the unconscious active avoidance of the vehicle can be turned off.

Optionally, after the unconscious active avoidance of the vehicle is turned off, the state of the vehicle itself returns to static. However, active calls for rescue and emergency contacts will not be actively hung up, but can only be hung up passively.

In the embodiment of the present invention, aiming at the problem of low dependence on speech ability in the prior art, a custom special wake-up word is proposed, and the scene engine is used to automatically adjust the air-conditioning window according to the weather data, thereby improving the performance of the vehicle's unconscious and active risk avoidance. wake-up efficiency.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) execute the method of each embodiment of the present invention.

In this embodiment, a control device for a vehicle is also provided, which is used to implement the above embodiments and preferred implementation modes, and those that have already been described will not be repeated. As used below, the term "unit" may be a combination of software and/or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 3 is a structural block diagram of a vehicle control device according to one embodiment of the present invention. As shown in Fig. 3, the vehicle control device 300 is used as an example, and the device may include: a collection unit 301 for collecting at least Two kinds of physiological parameters, physiological parameters include facial parameters, speech parameters and behavioral action parameters; the acquisition unit 302 is used to respond to at least one physiological parameter indicating that the driver needs to be assisted in driving the vehicle, and acquire the driving speed of the vehicle; the determination unit 303, It is used to determine the control data of the vehicle based on the driving speed; the control unit 304 is used to control the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state.

Optionally, the acquisition unit 301 is configured to acquire environmental information of the vehicle; trigger acquisition of the at least two physiological parameters based on the environmental information.

Optionally, the collection unit 301 is configured to collect the facial parameters of the driver in response to the light intensity being greater than a preset light intensity threshold.

Optionally, the collecting unit 301 is configured to collect the voice parameter of the driver in response to the noise interference intensity being less than a preset noise interference intensity threshold.

Optionally, the collection unit 301 is configured to collect the behavior parameters of the driver in response to the smoothness information being greater than a preset smoothness threshold.

Optionally, the determining unit 303 is configured to determine that the control data is at least one of the following control data in response to the driving speed being the target driving speed: window control data, air-conditioning control data, energy-saving strategy, lighting control data, door Control data and emergency call data.

Optionally, the control unit 304 is configured to control the opening and closing of the vehicle windows of the vehicle based on the vehicle window control data; control the power state of the vehicle based on the energy-saving strategy; control the vehicle based on the lighting control data The left turn light and the double flashing light of the vehicle are double-flashed; the vehicle door is controlled to be unlocked based on the vehicle door control data; and the vehicle is controlled to initiate a call request based on the emergency call data.

Optionally, the determining unit 303 is configured to determine that the control data is at least one of the following control data in response to the driving speed being greater than the target driving speed: driving data, lighting control data, car door control data, car window control data, air conditioner Control data and camera control data.

Optionally, the control unit 304 is configured to control the vehicle to perform automatic deceleration driving based on the driving data; control the right turn light and double flashing lights of the vehicle to flash alternately based on the light control data; The data controls the locking of the doors of the vehicle; controls the closing of the windows of the vehicle based on the window control data; controls the temperature in the vehicle based on the air conditioning control data; controls the vehicle based on the camera control data The camera is turned on.

It should be noted that each of the above-mentioned units can be implemented by software or hardware. For the latter, it can be implemented in the following manner, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned various modules can be combined in any combination The forms of are located in different processors.

According to one embodiment of the present invention, a processor is also provided, and the processor is used to run a program, wherein the program is set to execute the vehicle control method in any one of the above when running.

Optionally, in this embodiment, the above-mentioned processor may be configured to execute the following steps through a computer program:

Step S1, collect at least two physiological parameters of the driver, the physiological parameters include facial parameters, voice parameters and behavior parameters;

Step S2, obtaining the driving speed of the vehicle in response to at least one of the physiological parameters indicating that the driver needs to be assisted in driving the vehicle;

Step S3, determining control data of the vehicle based on the driving speed;

Step S4, controlling the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state.

An embodiment of the present invention also provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute any one of the above method embodiments when running on a computer or a processor in the steps.

Optionally, in this embodiment, the above-mentioned computer-readable storage medium may be configured to store a computer program for performing the following steps:

Step S1, collect at least two physiological parameters of the driver, the physiological parameters include facial parameters, voice parameters and behavior parameters;

Step S2, obtaining the driving speed of the vehicle in response to at least one of the physiological parameters indicating that the driver needs to be assisted in driving the vehicle;

Step S3, determining control data of the vehicle based on the driving speed;

Step S4, controlling the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state.

Optionally, in this embodiment, the above-mentioned computer-readable storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), mobile Various media that can store computer programs, such as hard disks, magnetic disks, or optical disks.

Embodiments of the present invention also provide a vehicle, which is used to execute the steps in any one of the above method embodiments.

An embodiment of the present invention also provides an electronic device, including a memory and a processor, where a computer program is stored in the memory, and the processor is configured to run the computer program to perform the steps in any one of the above method embodiments.

Optionally, in this embodiment, the processor in the above-mentioned electronic device may be configured to run a computer program to perform the following steps:

Step S1, collect at least two physiological parameters of the driver, the physiological parameters include facial parameters, voice parameters and behavior parameters;

Step S2, obtaining the driving speed of the vehicle in response to at least one of the physiological parameters indicating that the driver needs to be assisted in driving the vehicle;

Step S3, determining control data of the vehicle based on the driving speed;

Step S4, controlling the vehicle to perform a risk avoidance operation based on the control data, so that the vehicle state of the vehicle is in a safe state.

Optionally, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and optional implementation manners, and details are not repeated in this embodiment.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be realized in other ways. Wherein, the device embodiments described above are only illustrative. For example, the division of the units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (10)

1. A control method of a vehicle, characterized by comprising:

collecting at least two physiological parameters of a driver, wherein the physiological parameters comprise facial parameters, voice parameters and behavior parameters;

acquiring a driving speed of the vehicle in response to at least one physiological parameter characterizing that the driver needs to be assisted in driving the vehicle;

determining control data of the vehicle based on the travel speed;

and controlling the vehicle to execute a risk avoidance operation based on the control data so as to enable the vehicle state of the vehicle to be in a safe state.

2. The method of claim 1, wherein the collecting at least two physiological parameters of a driver comprises:

acquiring environmental information of the vehicle;

triggering acquisition of the at least two physiological parameters based on the environmental information.

3. The method of claim 2, wherein when the physiological parameter comprises a facial parameter, the environmental information comprises a light intensity, and wherein triggering acquisition of the at least two physiological parameters based on the environmental information comprises:

collecting the facial parameters of the driver in response to the illumination intensity being greater than a preset illumination intensity threshold.

4. The method of claim 2, wherein the environmental information comprises a noise interference intensity when the physiological parameter comprises a voice parameter, and wherein triggering the acquisition of the at least two physiological parameters based on the environmental information comprises:

and collecting the voice parameters of the driver in response to the noise interference strength being smaller than a preset noise interference strength threshold value.

5. The method of claim 2, wherein when the physiological parameter comprises a behavioral action parameter, the environmental information comprises smoothness information for a road, the smoothness information characterizing a smoothness of travel of the vehicle on the road, the triggering acquisition of the at least two physiological parameters based on the environmental information comprises:

and collecting the behavior action parameters of the driver in response to the smoothness information being greater than a preset smoothness threshold value.

6. The method of claim 1, wherein the determining the control data based on the travel speed of the vehicle comprises:

in response to the travel speed being a target travel speed, determining the control data to be at least one of: vehicle window control data, air conditioner control data, energy-saving strategies, light control data, vehicle door control data and emergency call data;

under the condition that the control data is the vehicle window control data, controlling the vehicle to execute danger avoiding operation based on the control data comprises the following steps: controlling opening and closing of a window of the vehicle based on the window control data;

in the case that the control data is the air-conditioning control data, the controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling an air conditioning in the vehicle to inner-circulate based on the air conditioning control data;

under the condition that the control data is the energy-saving strategy, the controlling the vehicle to execute danger avoiding operation based on the control data comprises the following steps: controlling a power state of the vehicle based on the energy conservation strategy;

under the condition that the control data is the light control data, controlling the vehicle to execute danger avoiding operation based on the control data comprises the following steps: controlling a left turn lamp and a double flashing lamp of the vehicle to perform double flashing based on the light control data;

in the case that the control data is the door control data, the controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling door unlocking of the vehicle based on the door control data;

under the condition that the control data is the emergency call data, controlling the vehicle to execute danger avoiding operation based on the control data comprises the following steps: controlling the vehicle to initiate a call request based on the emergency call data.

7. The method of claim 1, wherein the determining the control data based on the travel speed of the vehicle comprises:

in response to the travel speed being greater than a target travel speed, determining the control data to be at least one of: driving data, light control data, car door control data, car window control data, air conditioner control data and camera control data;

in the case where the control data is the driving data, the controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling the vehicle to perform automatic deceleration driving based on the driving data;

under the condition that the control data are the light control data, the step of controlling the vehicle to execute danger avoiding operation based on the control data comprises the following steps: controlling a right turn light and a double flashing light of the vehicle to flash alternately based on the light control data;

in the case that the control data is the vehicle door control data, the controlling the vehicle to execute a risk avoiding operation based on the control data comprises: controlling locking of doors of the vehicle based on the door control data;

in the case that the control data is the window control data, the controlling the vehicle to execute a risk avoidance operation based on the control data includes: controlling window closing of the vehicle based on the window control data;

in the case that the control data is the air-conditioning control data, the controlling the vehicle to perform a risk avoidance operation based on the control data includes: controlling a temperature in the vehicle based on the air conditioning control data;

in a case that the control data is the camera control data, the controlling the vehicle to execute a risk avoidance operation based on the control data includes: and controlling the opening of a camera in the vehicle based on the camera control data.

8. A control apparatus of a vehicle, characterized by comprising:

the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is used for acquiring at least two physiological parameters of a driver, and the physiological parameters comprise facial parameters, voice parameters and behavior parameters;

an acquisition unit for acquiring the driving speed of the vehicle in response to at least one physiological parameter characterizing that the driver needs to be assisted in driving the vehicle;

a determination unit configured to determine control data of the vehicle based on the travel speed;

and the control unit is used for controlling the vehicle to execute danger avoiding operation based on the control data so as to enable the vehicle state of the vehicle to be in a safe state.

9. A computer-readable storage medium, characterized in that the computer-readable storage medium is used for executing a program, wherein the program is configured to execute the control method of the vehicle recited in any one of claims 1 to 7 when executed on the computer-readable storage medium.

10. A vehicle comprising a memory and a processor, wherein the memory has stored therein a computer program, and the processor is arranged to run the computer program to perform a method of controlling the vehicle as claimed in any one of claims 1 to 7.

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