Vehicle and voice escort method and apparatus therefor, and storage medium

Abstract

A vehicle and a voice escort method and apparatus therefor, and a storage medium. The method comprises: acquiring location information of a vehicle, and acquiring ambient sounds of the vehicle during traveling; on the basis of the location information and the ambient sounds during traveling, determining the degrees of sensitivity of a driver to sound types; and on the basis of the degrees of sensitivity of the driver to the sound types, determining a sound type used for alerting the driver, and generating a voice alert on the basis of the sound type.

Description

Vehicle and voice escort method, device and storage medium thereof Technical Field

[0001] The present application relates to the field of intelligent driving, and in particular to a vehicle and its voice escort method, device and storage medium. Background Art

[0002] With the development of intelligent driving technology, vehicle voice escort services have also been greatly improved. By setting trigger conditions and fixed phrases, when a predetermined condition is detected, a pre-set fixed phrase is triggered to remind the driver. For example, if the driver is detected to be driving fatigued, the prompt "Fatigue driving, please stop and rest" will be output.

[0003] The current reminder method uses relatively fixed sentences, which are easily ignored by drivers and fail to achieve the ideal escort effect. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide a vehicle voice escort method, device, equipment and storage medium to solve the problem that the reminder method in the prior art uses relatively fixed sentences, which are easily ignored by the driver and fail to achieve the ideal escort effect.

[0005] A first aspect of an embodiment of the present application provides a vehicle voice escort method, the method comprising:

[0006] Obtain the vehicle's location information and the ambient sound during the vehicle's driving process;

[0007] determining the driver's sensitivity to sound types based on the position information and the ambient sound during the driving process;

[0008] The sound type used to remind the driver is determined according to the driver's sensitivity to the sound type, and the sound type is a voice reminder.

[0009] In conjunction with the first aspect, in a first possible implementation of the first aspect, determining the driver's sensitivity to sound types based on the position information and the ambient sound during the driving process includes:

[0010] Determining a duration influencing factor and a distance influencing factor of the sound type according to the location information;

[0011] Determining, based on the environmental sound, an on-site environmental influencing factor of the sound type;

[0012] The driver's sensitivity to the sound type is determined according to the duration influencing factor, the distance influencing factor, and the environment influencing factor.

[0013] In conjunction with the first possible implementation of the first aspect, in a second possible implementation of the first aspect, determining the distance impact factor of the sound type according to the position information includes:

[0014] Determine the correspondence between different sound types and sound areas;

[0015] A distance influence factor of the sound type is determined according to the distance between the current position of the vehicle and the sound area.

[0016] In conjunction with the first possible implementation of the first aspect, in a third possible implementation of the first aspect, determining the duration impact factor of the sound type according to the position information includes:

[0017] Determine the correspondence between different sound types and sound areas;

[0018] Determine a duration during which the distance between the vehicle position information and the sound area is greater than a predetermined distance threshold, and determine a duration influencing factor of the sound type.

[0019] In conjunction with the first possible implementation of the first aspect, in a fourth possible implementation of the first aspect, determining the on-site environmental impact factor of the sound type based on the ambient sound includes:

[0020] determining a sound type included in the environmental sound;

[0021] The on-site environmental impact factor of the sound type is determined according to the occurrence frequency of the sound type in the environmental sound and the duration from the current time.

[0022] In conjunction with the first aspect, in a fifth possible implementation of the first aspect, after determining the sound type for reminding the driver based on the driver's sensitivity to the sound type, the method further includes:

[0023] Determining a closeness sequence between the driver and preset related persons;

[0024] According to the intimacy sequence, the intonation feature of the voice reminder is determined.

[0025] In combination with the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the intimacy sequence includes intimacy sequences of different relationship types;

[0026] Determining the intonation feature of the voice reminder according to the intimacy sequence includes:

[0027] Obtaining the driver's emotion type;

[0028] Determining, based on a preset correspondence between emotion types and relationship types, a closeness sequence between the driver's emotion types and the relationship types;

[0029] The intonation feature of the voice reminder is determined according to the determined intimacy sequence.

[0030] A second aspect of an embodiment of the present application provides a voice escort device for a vehicle, the device comprising:

[0031] An information acquisition unit is used to acquire the vehicle's location information and the ambient sound during the vehicle's driving process;

[0032] a sensitivity determination unit, configured to determine the driver's sensitivity to sound types based on the position information and the ambient sound during the driving process;

[0033] The reminder unit is used to determine the sound type used to remind the driver according to the driver's sensitivity to the sound type, and the sound type voice reminder.

[0034] With reference to the second aspect, in a first possible implementation manner of the second aspect, the sensitivity determination unit includes:

[0035] a position information calculation subunit, configured to determine a duration influence factor and a distance influence factor of a sound type based on the position information;

[0036] an environmental information determination subunit, configured to determine a site environmental influencing factor of a sound type based on the environmental sound;

[0037] The sensitivity determination subunit is configured to determine the driver's sensitivity to the sound type based on the duration influencing factor, the distance influencing factor, and the environment influencing factor.

[0038] In combination with the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the position information calculation subunit includes:

[0039] A first correspondence determination module, configured to determine correspondences between different sound types and sound areas;

[0040] The distance impact factor determination module is used to determine the distance impact factor of the sound type according to the distance between the current position of the vehicle and the sound area.

[0041] In combination with the first possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the position information calculation subunit includes:

[0042] A second correspondence determination module is used to determine the correspondence between different sound types and sound areas;

[0043] The duration impact factor determination module is used to determine the duration during which the distance between the vehicle's position information and the sound area is greater than a predetermined distance threshold, and determine the duration impact factor of the sound type.

[0044] In combination with the first possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, the environment information determination subunit includes:

[0045] a sound type determination module, configured to determine the sound type included in the environmental sound;

[0046] The environmental impact factor determination module is used to determine the environmental impact factor of the sound type according to the frequency of occurrence of the sound type in the environmental sound and the length of time from the current time.

[0047] In conjunction with the second aspect, in a fifth possible implementation of the second aspect, the apparatus further includes:

[0048] an intimacy sequence determining unit, configured to determine an intimacy sequence between the driver and preset related persons;

[0049] The intonation feature determination unit is used to determine the intonation feature of the voice reminder according to the intimacy sequence.

[0050] In conjunction with the fifth possible implementation of the second aspect, in a sixth possible implementation of the second aspect, the intimacy sequence includes intimacy sequences of different relationship types;

[0051] The intonation feature determination unit includes:

[0052] An emotion type acquisition subunit, configured to acquire the driver's emotion type;

[0053] an intimacy sequence determination subunit, configured to determine an intimacy sequence of the driver's emotion type corresponding to the relationship type according to a preset correspondence between the emotion type and the relationship type;

[0054] The intonation feature determination subunit determines the intonation feature of the voice reminder according to the determined intimacy sequence.

[0055] A third aspect of an embodiment of the present application provides a vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the first aspects when executing the computer program.

[0056] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in any one of the first aspects are implemented.

[0057] Compared with the prior art, the embodiments of the present application have the following advantages: the embodiments of the present application obtain the vehicle's location information and the ambient sound during driving, determine the driver's sensitivity to sound types based on the location information and ambient sound, determine the sound type to be used to alert the driver based on the determined sensitivity, and then alert the driver based on the sound type. After determining the driver's sensitivity to sound based on the ambient sound and location information, the voice reminder can further enhance the driver's sensitivity to the voice reminder, resulting in a better reminder effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0059] FIG1 is a schematic diagram of a flow chart of a method for implementing voice guidance of a vehicle according to an embodiment of the present application;

[0060] FIG2 is a schematic diagram of an implementation flow of determining a driver's sensitivity to sound types according to an embodiment of the present application;

[0061] FIG3 is a schematic diagram of an implementation flow of determining a distance impact factor provided by an embodiment of the present application;

[0062] FIG4 is a schematic diagram of an implementation flow of determining a duration influencing factor provided by an embodiment of the present application;

[0063] FIG5 is a schematic diagram of an implementation flow of determining the intonation feature of a voice reminder provided by an embodiment of the present application;

[0064] FIG6 is a schematic diagram of a vehicle voice escort device provided in an embodiment of the present application;

[0065] FIG7 is a schematic diagram of a vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0066] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0067] In order to illustrate the technical solution described in this application, specific embodiments are provided below.

[0068] Conventional voice-guided escort systems use pre-programmed interactive voices to provide driver risk warnings and assistance. Based on the mapping between voices and conditional states, the corresponding voice is played when the vehicle's current driving conditions meet the pre-programmed conditions. This type of voice is typically played using the intonation of an AI robot or manually recorded speech. Because escort voices are monotonous and rigid, often using fixed phrases, they lack appeal and driver engagement, and the reminders are less effective when the driver is fatigued.

[0069] Based on this, an embodiment of the present application proposes a vehicle voice escort method, as shown in FIG1 , which includes:

[0070] In S101 , the location information of the vehicle is obtained, and the ambient sound of the vehicle during driving is obtained.

[0071] Among them, the location information of the vehicle in the embodiment of the present application can be obtained through the vehicle positioning system, including but not limited to obtaining positioning from the global positioning system, base station positioning, inertial navigation system, and vehicle-mounted wireless communication system to obtain the vehicle's location information.

[0072] Acquiring ambient sounds while the vehicle is in motion can include speech sounds within the vehicle's cab. In possible implementations, the vehicle can also establish a communication connection with a smart terminal. This can capture sounds from users making and receiving phone calls using their smart terminal, as well as ambient sounds collected by the smart terminal during brief periods when the user is off the vehicle. For example, ambient sounds collected by the smart terminal can be captured while the vehicle is in a service area or gas station.

[0073] In S102 , the driver's sensitivity to sound types is determined based on the position information and the ambient sound during the driving process.

[0074] When determining the driver's sensitivity to sound types based on the collected location information and the ambient sound during driving, the effects of distance, duration, and on-site environmental factors on sensitivity may be considered. The process of determining the driver's sensitivity to sound types may be as shown in FIG2 and include:

[0075] In S201, a duration influence factor and a distance influence factor of a sound type are determined according to the position information.

[0076] The duration influencing factor can be the length of time between unused and unheard sound types. Generally speaking, for a particular sound type, a longer interval increases the sensitivity to that sound type, while a shorter interval decreases the sensitivity to that sound type due to familiarity with that sound type. Similarly, the farther away from the sound area corresponding to a particular sound type, the higher the sensitivity to that sound type.

[0077] The distance influencing factor may be determined as shown in FIG3 , including:

[0078] In S301 , the correspondence between the sound type and the sound area is determined.

[0079] The sound region can be the area where a group of people are located when the frequency of using that sound type exceeds a predetermined frequency threshold. Sound types can be dialects from different regions. Sound types can include, for example, Cantonese in Guangdong and Sichuan dialect in Sichuan. The sound region corresponding to a sound type is the region where that sound type is primarily used for communication. For example, the sound region for Sichuan dialect is primarily located in Sichuan Province.

[0080] The sound type used for calculation may be a sound type that the driver knows or is familiar with.

[0081] In S302 , a distance influence factor of a sound type is determined according to the distance between the current position of the vehicle and the sound area.

[0082] After determining the correspondence between the sound type and the sound area, combined with the vehicle's current location, the distance between the vehicle and the sound area can be determined. Generally speaking, the greater the distance, the lower the probability of receiving that sound type in the environment. Therefore, using that sound type as a reminder will increase the likelihood of attracting user attention, and thus the distance impact factor of the sound type will also increase.

[0083] For example, the driver's hometown is area A. During driving, the driver drives in a direction away from area A. The greater the distance from area A, the smaller the probability that the driver will receive the sound type in the surrounding environment.

[0084] When determining the distance between the current position and the sound area, the distance may be the closest position between the current position and any point in the sound area.

[0085] The duration influencing factors determined based on the location information may be as shown in FIG4 , including:

[0086] In S401 , the correspondence between different sound types and sound areas is determined.

[0087] When the vehicle is outside the sound area, the distance between the vehicle position and the sound area does not continue to increase, but the duration outside the sound area is increasing. At this time, in order to more accurately determine the impact of the sound type on the driver, it can be described based on the duration dimension.

[0088] In S402 , the duration of the time during which the distance between the vehicle position information and the sound area is greater than a predetermined distance threshold is determined, and a duration influencing factor of the sound type is determined.

[0089] When the vehicle is detected as being outside the sound zone (i.e., the distance between the vehicle's location and the sound zone is greater than a predetermined distance threshold), the system measures the duration of this condition. A longer duration indicates that the driver has been outside the sound zone for a specific sound type, and their familiarity with that sound type decreases accordingly. Consequently, their sensitivity to that sound type increases accordingly.

[0090] For example, when a driver is driving outside a certain sound area, as the time outside the area increases, the probability of using the sound corresponding to the sound area will generally decrease, and the sensitivity to the sound type will increase accordingly.

[0091] In S202, based on the environmental sound, a site environment influencing factor of the sound type is determined.

[0092] In addition to the distance impact factor and the duration impact factor, the on-site environment impact factor of the sound type may also be included. The on-site environment impact factor is an impact factor determined based on the sound information collected in the on-site environment.

[0093] During the driving process of the car, the collected environmental sounds may include the conversation sounds inside the car, including the conversation sounds between the driver and other passengers, or may also include the conversation sounds or sounds heard by the driver when the driver is at a gas station, service area, etc.

[0094] When determining the on-site environmental impact factor for a sound type, the frequency and time of occurrence of different sound types in the on-site environment can be determined based on the sound types that the driver is familiar with or aware of. Based on the time of occurrence, the distance between the sound type's appearance and the current time can be determined. Based on the frequency and time of occurrence, combined with a predetermined weighting factor, the on-site environmental impact factor for the sound type can be obtained.

[0095] In S203 , the driver's sensitivity to the sound type is determined based on the duration influencing factor, the distance influencing factor, and the environment influencing factor.

[0096] According to the determined duration influencing factor, distance influencing factor and environment influencing factor, combined with the predetermined weight coefficients of each influencing factor, the sensitivity of the driver to the sound type he is familiar with can be obtained.

[0097] In a possible implementation, after generating a voice reminder of the determined sound type, the user's reaction speed to the voice reminder can be collected to determine the effectiveness of the voice reminder. Based on this effectiveness, the weight coefficient used to determine the sensitivity can be adjusted, or the weight coefficient used to determine the impact of the on-site environment can be adjusted. This allows the system to continuously adjust and optimize according to individual differences, making reminders more effective and improving the user experience.

[0098] In S103 , the sound type used to remind the driver is determined according to the driver's sensitivity to the sound type, and the sound type is a voice reminder.

[0099] Depending on the driver's sensitivity to sound, a more sensitive sound type may be used for important reminders. For example, if a driving hazard occurs, a more sensitive voice reminder may be used if the hazard level is higher.

[0100] In a possible implementation, the embodiment of the present application also obtains an intimacy sequence between the driver and relevant personnel. The relevant personnel may include the driver's friends, relatives, colleagues and other groups. The voice information of the relevant personnel in the intimacy sequence can be collected in advance, and the intonation features can be extracted based on the collected voice information. According to the intimacy sequence, for reminders of different urgency levels, people with different intimacy levels are used to remind. For example, for reminders with a higher degree of urgency, the intonation features of people with a higher degree of intimacy are used for reminders.

[0101] In a possible implementation, the determined intimacy sequence may include intimacy sequences of different relationship types. For example, intimacy sequences of relatives, colleagues, and friends may be included. When determining intonation features based on the intimacy sequence, as shown in FIG5 , it may include:

[0102] In S501 , the driver's emotion type is obtained.

[0103] The driver's emotion type may include anger, depression, boredom, etc. The driver's emotion type may be determined based on a predetermined correspondence between the emotion type and the action features and the expression features.

[0104] For example, the depressed mood type may include features such as yawning, vacant eyes, and a depressed facial expression, while the boredom type may include features such as looking around (excluding looking around to observe the driving environment) and lack of concentration.

[0105] In S502 , based on the preset correspondence between emotion types and relationship types, a closeness sequence of the driver's emotion types corresponding to the relationship types is determined.

[0106] Among them, the correspondence between emotion types and relationship types can include the correspondence between the depressed emotion type and the intimacy sequence of the relative type, the correspondence between the bored emotion type and the intimacy sequence of the friend, and the correspondence between the bored emotion type and the intimacy sequence of the relative or friend, to determine the intimacy sequence currently used to issue voice reminders.

[0107] In S503, the intonation feature of the voice reminder is determined according to the determined intimacy sequence.

[0108] Based on the type of intimacy sequence determined, a reminder is generated using the intonation characteristics of a friend or relative with a higher intimacy level that matches the current reminder type. In situations where the urgency is higher, a friend or relative with a higher intimacy level can be selected for voice reminders.

[0109] Based on the determined intimacy sequence type, the corresponding relatives and friends are selected for reminders. For example, if the driver is in a depressed state, the driver can be reminded in a voice that simulates the characteristics of a mother, so that the driver can adjust his state in time and pay attention to safe driving. If the driver is bored, the driver can be reminded in a commanding tone of a leader, so that the driver can pay attention to dangerous information in time.

[0110] Without limitation, embodiments of the present application can also utilize voice reminders with different intonation characteristics based on the driver's specific information. For example, based on the driver's age and medical history, a reminder with information related to the driver's health can be generated using the doctor's intonation characteristics. Based on the driver's needs, conversations with different relationship types and communication content can be responded to. For example, based on the driver's chat needs, the speaker type can be determined and the driver can be provided with escort content such as news, stories, jokes, discussions about football, games, and international affairs.

[0111] In addition, in the embodiment of the present application, the sound type and volume of the reminder type can also be determined according to the urgency of the event to be reminded. For example, the higher the urgency, the higher the stimulation level of the sound type, and the louder the voice reminder.

[0112] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0113] FIG6 is a schematic diagram of a vehicle voice escort device provided in an embodiment of the present application. As shown in FIG6 , the device includes:

[0114] The information acquisition unit 601 is used to acquire the location information of the vehicle and the ambient sound of the vehicle during its driving process.

[0115] The sensitivity determination unit 602 is configured to determine the driver's sensitivity to sound types based on the position information and the ambient sound during the driving process.

[0116] The reminder unit 603 is used to determine the sound type used to remind the driver according to the driver's sensitivity to the sound type, and the sound type is a voice reminder.

[0117] The vehicle voice escort device shown in FIG6 corresponds to the vehicle voice escort method shown in FIG1 .

[0118] Figure 7 is a schematic diagram of a vehicle provided in an embodiment of the present application. As shown in Figure 7 , vehicle 7 in this embodiment includes a processor 70, a memory 71, and a computer program 72 stored in memory 71 and executable on processor 70, such as a vehicle voice guidance program. When processor 70 executes computer program 72, it implements the steps of the aforementioned vehicle voice guidance method embodiments. Alternatively, when processor 70 executes computer program 72, it implements the functions of the various modules / units in the aforementioned device embodiments.

[0119] For example, the computer program 72 may be divided into one or more modules / units, which are stored in the memory 71 and executed by the processor 70 to implement the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 72 in the vehicle 7.

[0120] The vehicle may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that FIG7 is merely an example of a vehicle 7 and does not limit the vehicle 7 . The vehicle 7 may include more or fewer components than shown, or a combination of certain components, or different components. For example, the vehicle may also include input and output devices, network access devices, buses, and the like.

[0121] The processor 70 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0122] The memory 71 can be an internal storage unit of the vehicle 7, such as the vehicle's hard drive or memory. Alternatively, the memory 71 can be an external storage device of the vehicle 7, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the memory 71 can include both an internal storage unit of the vehicle 7 and an external storage device. The memory 71 is used to store the computer program and other programs and data required by the vehicle. The memory 71 can also be used to temporarily store data that has been output or is about to be output.

[0123] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0124] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0125] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0126] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0127] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0128] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0129] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments through hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0130] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A voice escort method for a vehicle, characterized in that, The method includes: Obtaining the position information of the vehicle and the ambient sound during the vehicle's driving; Determining the sensitivity of the driver to the sound type according to the position information and the ambient sound during the driving; Determining the sound type for reminding the driver according to the sensitivity of the driver to the sound type, and giving a voice reminder of the sound type.

2. The method according to claim 1, wherein Determining the sensitivity of the driver to the sound type according to the position information and the ambient sound during the driving includes: Determining the duration influence factor and the distance influence factor of the sound type according to the position information; Determining the on-site environment influence factor of the sound type according to the ambient sound; Determining the sensitivity of the driver to the sound type according to the duration influence factor, the distance influence factor and the environment influence factor.

3. The method according to claim 2, wherein Determining the distance influence factor of the sound type according to the position information includes: Determining the correspondence between different sound types and sound regions; Determining the distance influence factor of the sound type according to the distance between the current position of the vehicle and the sound region.

4. The method according to claim 2, wherein Determining the duration influence factor of the sound type according to the position information includes: Determining the correspondence between different sound types and sound regions; Determining the duration during which the distance between the position information of the vehicle and the sound region is greater than a predetermined distance threshold, and determining the duration influence factor of the sound type.

5. The method according to claim 2, characterized in that Determining the on-site environment influence factor of the sound type according to the ambient sound includes: Determining the sound types included in the ambient sound; Determining the environment influence factor of the sound type according to the occurrence frequency of the sound type in the ambient sound and the duration from the current time.

6. The method according to claim 1, characterized in that After determining the sound type for reminding the driver according to the sensitivity of the driver to the sound type, the method further includes: Determining the intimacy sequence between the driver and the preset relevant personnel; Determining the intonation feature of the voice reminder according to the intimacy sequence.

7. The method according to claim 6, wherein The intimacy sequence includes the intimacy sequences of different relationship types; Determining the intonation feature of the voice reminder according to the intimacy sequence includes: Obtaining the emotion type of the driver; Determining the intimacy sequence of the relationship type corresponding to the emotion type of the driver according to the pre-set correspondence between the emotion type and the relationship type; Determining the intonation feature of the voice reminder according to the determined intimacy sequence.

8. A voice escort device for a vehicle, characterized in that, The device includes: An information acquisition unit, configured to obtain the position information of the vehicle and the ambient sound during the vehicle's driving; A sensitivity determination unit, configured to determine the sensitivity of the driver to the sound type according to the position information and the ambient sound during the driving; A reminder unit, configured to determine the sound type for reminding the driver according to the sensitivity of the driver to the sound type, and give a voice reminder of the sound type.

9. A vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 7.

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