WO2023193652A1 - 一种车机虚拟形象交互方法、系统、车辆及存储介质 - Google Patents

一种车机虚拟形象交互方法、系统、车辆及存储介质 Download PDF

Info

Publication number
WO2023193652A1
WO2023193652A1 PCT/CN2023/085141 CN2023085141W WO2023193652A1 WO 2023193652 A1 WO2023193652 A1 WO 2023193652A1 CN 2023085141 W CN2023085141 W CN 2023085141W WO 2023193652 A1 WO2023193652 A1 WO 2023193652A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
user
personality
personality type
virtual image
Prior art date
Application number
PCT/CN2023/085141
Other languages
English (en)
French (fr)
Inventor
孙学龙
李树会
程思雨
甄林涛
Original Assignee
长城汽车股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 长城汽车股份有限公司 filed Critical 长城汽车股份有限公司
Publication of WO2023193652A1 publication Critical patent/WO2023193652A1/zh

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00—Animation
    • G06T13/20—3D [Three Dimensional] animation
    • G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation

Definitions

  • This application relates to the field of vehicle management technology, and specifically relates to a vehicle-machine virtual image interaction method, system, vehicle and storage medium.
  • One of the purposes of the embodiments of this application is to provide a vehicle-machine virtual image interaction method, system, vehicle and storage medium, which can solve the problem of low automobile intelligence.
  • a vehicle-machine virtual image interaction method including:
  • the vehicle control services include the determination of the vehicle control strategy
  • vehicle control strategy associated with the acquired personality type, wherein the vehicle control strategy includes driving mode and/or vehicle control parameters;
  • a vehicle-machine virtual image interaction system including:
  • the virtual image determination module is used to find the virtual image that is preset in the vehicle machine and provides vehicle control services when the vehicle is started or running.
  • the vehicle control services include the determination of the vehicle control strategy;
  • a personality acquisition module used to acquire the personality type of the virtual image
  • a vehicle control strategy determination module configured to determine a vehicle control strategy associated with the obtained personality type, wherein the vehicle control strategy includes a driving mode and/or vehicle control parameters;
  • a vehicle control module configured to control the operation of the vehicle based on the determined vehicle control strategy.
  • a vehicle-machine virtual image interaction system including:
  • the virtual image determination module is used to find the virtual image that is preset in the vehicle machine and provides vehicle control services when the vehicle is started or running.
  • the vehicle control services include the determination of the vehicle control strategy;
  • a personality acquisition module used to acquire the personality type of the virtual image
  • a vehicle control strategy determination module configured to determine a vehicle control strategy associated with the obtained personality type, wherein the vehicle control strategy includes a driving mode and/or vehicle control parameters;
  • a vehicle control module configured to control the operation of the vehicle based on the determined vehicle control strategy.
  • a computer-readable storage medium stores a computer program.
  • the computer program is executed by a processor, the vehicle-machine virtual image according to any one of the above-mentioned first aspects is realized. Interactive methods.
  • a fifth aspect provides a computer program product, which when the computer program product is run on a vehicle, causes the vehicle to execute the vehicle-machine virtual image interaction method described in any one of the above-mentioned first aspects.
  • the first beneficial effect provided by the embodiments of this application is that when the vehicle is started or running, this application first obtains the personality type of the virtual image in the vehicle, determines the vehicle control strategy based on the personality type, and finally uses the vehicle control strategy to control the vehicle operation. ;
  • this application associates the personality type of the avatar with the vehicle control strategy.
  • the vehicle control strategy can be obtained simply based on the personality type of the avatar.
  • the configuration of the vehicle is made simple and fast, and the degree of automation of the vehicle is improved.
  • Figure 1 is a schematic flowchart of a vehicle-machine virtual image interaction method provided by an embodiment of the present application
  • Figure 2 is a schematic flowchart of a professional knowledge output method provided by an embodiment of the present application
  • Figure 3 is a schematic diagram of multiple avatars of a virtual image provided by an embodiment of the present application.
  • Figure 4 is a schematic flowchart of a method for determining a driving route provided by an embodiment of the present application
  • Figure 5 is a schematic diagram of the architecture of a virtual human provided by an embodiment of the present application.
  • Figure 6 is a schematic structural diagram of a vehicle-machine virtual image interaction system provided by an embodiment of the present application.
  • Figure 7 is a schematic structural diagram of a vehicle provided by another embodiment of the present application.
  • Virtual digital humans are AI robots with human characteristics formed by using digital modeling technology, 3D graphics rendering technology, motion capture technology, etc. to simulate the expressions and facial features of real people, and using deep learning, semantic understanding, speech synthesis and other technologies.
  • the vehicle-machine virtual image interaction method provided by this application allows users to customize various information of the virtual image in the vehicle-machine, which meets the different needs of different users for the virtual images in the vehicle-machine.
  • FIG 1 shows a schematic flow chart of the vehicle-machine virtual image interaction method provided by this application. Referring to Figure 1, the method is described in detail as follows.
  • the vehicle control services include the determination of vehicle control strategies.
  • the virtual image is set in advance by the user or is set in advance at the factory.
  • the avatar can include personality type, appearance, occupation, service content of the avatar, etc.
  • the user can set the avatar through a handheld terminal or a display device on the vehicle.
  • the handheld terminal can be a mobile phone or a tablet computer.
  • vehicle start can be determined by detecting the location of the vehicle key.
  • Vehicle operation can be determined by the vehicle speed detected by the speed sensor.
  • the vehicle operation can also be determined by detecting the gear position of the vehicle. The vehicle operation can be determined when the vehicle is in forward gear or reverse gear.
  • the vehicle control service may also include determination of the driving route.
  • the user can set the personality type of the avatar through the handheld terminal. Users can also set the personality type of the avatar through the display device on the vehicle.
  • the user can set the personality type of the avatar by selecting information on the setting page.
  • the personality type of the avatar may be gentle, active, cute, rational, enthusiastic, chatty or loyal, etc.
  • the user can set the avatar to any of the above personality types.
  • S103 Determine a vehicle control strategy associated with the obtained personality type, where the vehicle control strategy includes a driving mode and/or vehicle control parameters.
  • the driving mode may be an economy mode, a sport mode or a comfort mode.
  • the vehicle control parameters include one or more of accelerator pedal sensitivity, steering wheel torque strength, fuel injection volume, engine torque, and engine speed.
  • the personality type may be stored in association with the driving mode.
  • personality types can be stored in association with vehicle handling parameters.
  • personality types can also be stored in association with both driving patterns and vehicle handling parameters.
  • different personality types are preset in the vehicle to be associated with different vehicle control strategies.
  • the moderate type, hedonic type, etc. are stored in association with the comfort mode
  • the active type, the aggressive type, etc. are stored in association with the sports mode
  • the rational type, frugal type, etc. are stored in association with the economic mode.
  • S104 Control the operation of the vehicle based on the determined vehicle control strategy.
  • the vehicle control strategy is used to configure the vehicle.
  • the personality type of the preset avatar is first obtained, the vehicle control strategy is determined based on the personality type, and finally the vehicle control strategy is used to control the vehicle operation; this application associates the personality type of the avatar with the vehicle control strategy, and the user When configuring a vehicle, you only need to configure the personality type of the avatar to get the vehicle control strategy. Compared with the existing technology that requires multiple items of the vehicle to be configured separately, this application eliminates the need to configure the vehicle control strategy, making the vehicle The configuration is simple and fast, which improves the intelligence of the vehicle.
  • the above method may further include:
  • the speech synthesis strategy of the avatar associated with the obtained personality type is determined, and the speech synthesis strategy includes at least one of timbre, corpus and pitch.
  • the personality type is also stored in association with the speech synthesis strategy, and the avatar has the function of the speech synthesis strategy associated with the personality type.
  • personality type is associated with voice TTS (Text To Speech, from text to speech), and the personality type can determine the information of the avatar when speaking.
  • TTS Text To Speech, from text to speech
  • Different personality types can be associated with different speech synthesis strategies.
  • the personality type can also be associated with a corpus.
  • the corpus includes response information determined based on the received voice information issued by the user during human-computer interaction. For example, the voice information issued by the user is "Hello” and the response information is "Hello".
  • the user can determine the speech synthesis strategy of the avatar by setting the personality type, which reduces the user's configuration items when configuring the avatar on the vehicle and improves configuration efficiency.
  • the above method may also include:
  • the profession of the avatar may be a doctor, a lawyer, a teacher, an actor, a police officer or a civil servant, etc.
  • the user can set the avatar to one of the above occupations.
  • S202 Determine professional knowledge information associated with the avatar according to its occupation.
  • the occupation is associated with the corresponding professional knowledge information
  • the professional knowledge information associated with the acquired avatar is determined based on the acquired occupation.
  • the avatar has the ability to interact with the professional knowledge information corresponding to the occupation.
  • the knowledge fields of avatars can include sports, Chinese studies, entertainment, news, shopping and beauty, etc. Different professions can be associated with different professional knowledge information.
  • the professional knowledge information related to the lawyer is legal-related knowledge. If the profession of the avatar is a doctor, the professional knowledge information associated with the doctor is medical-related knowledge.
  • the above method may also include:
  • the professional knowledge request can be determined based on the keywords in the voice interaction request. If the voice interaction request includes the preset professional knowledge keywords, the request is determined to be a professional knowledge request; if the voice interaction request does not include If the preset professional knowledge keyword is used, it is determined that the request is not a professional knowledge request. For example, if the voice interaction request includes keywords such as lawyer and doctor, the voice interaction request can be determined to be a professional knowledge request.
  • S303 Determine the professional knowledge information of the avatar associated with the occupation of the avatar.
  • S304 According to the speech synthesis strategy, output the professional knowledge information corresponding to the voice interaction request.
  • the avatar analyzes the voice interaction request and determines the response information corresponding to the voice interaction request.
  • the voice interaction request includes an inquiry about professional knowledge
  • the response information is professional knowledge information
  • the avatar outputs the professional knowledge information corresponding to the voice interaction request, and the output intonation, timbre, etc. of the professional knowledge information corresponding to the voice interaction request, according to Determined speech synthesis strategy. If the voice interaction request does not include a request for professional knowledge, the response information corresponding to the voice interaction request is queried in the corpus.
  • the response information should be searched in the legal expertise information to determine the corresponding response information.
  • the professional knowledge information of the avatar can be determined through the occupation of the avatar, which reduces the user's configuration items when configuring the avatar on the vehicle and improves the configuration efficiency.
  • the above method may also include:
  • the configurable information of the virtual image includes: appearance, occupation, service content, personality type, etc. Users can select the configuration information of the virtual image in the configuration platform.
  • the configuration platform can be an APP (application) in a mobile terminal, or a vehicle control host in a vehicle, etc.
  • the process of generating a virtual image includes:
  • the appearance of the virtual image is generated according to the image information selected and/or input by the user.
  • the image information includes at least one of age, gender, avatar, body shape, nationality, and language.
  • the age of the avatar can be 20-30 years old, 31-35 years old, 36-40 years old, etc.
  • the user can set the avatar to one of the above ages.
  • Language type information may include Chinese, English, Japanese, etc.
  • the user can set the avatar to one of the above language types.
  • the image information may also include the avatar and nationality information of the virtual image.
  • the avatar may be as shown in Figure 3.
  • the body of the avatar can be thin, medium, obese, etc.
  • the occupation of the avatar is configured according to the occupation information selected and/or input by the user.
  • the occupation information includes one of teachers, engineers, CEOs, actors, doctors, and police officers.
  • the personality type of the avatar is configured according to the personality information selected and/or input by the user, and the speech synthesis strategy associated with it is automatically determined based on the personality type.
  • the speech synthesis strategy includes intonation, timbre, and corpus.
  • the personality types include gentle, active, cute, rational, enthusiastic, chatty, loyal, frugal, radical, and hedonistic. A type of.
  • the service content includes at least one of chat service, perception service, ecological service, vehicle control service and vehicle diagnosis service.
  • Perception services include speech perception, visual perception, global perception, all-person perception and full-time perception, etc.
  • Ecological services provide data, files, collaboration, etc. for electronic products in vehicles (such as audio and video, recorders, electronic controllers, etc.).
  • Vehicle diagnostic services are used to determine whether the vehicle is functioning properly, for example, the location of the oil in the tank, whether the seat belts are fastened, whether the doors are secure, etc.
  • users can activate different services by touching different keys on the vehicle display. For example, after receiving the user's operation on the first control key, the chat service is started.
  • the configuration information of each avatar can be different.
  • the personality type of each avatar can be different.
  • the user can enable the virtual image when he or she needs to use the virtual image, for example, by controlling the opening and closing of the virtual image through virtual keys.
  • a virtual image configuration interface is set for the user, and the user can configure the virtual image information according to preferences and needs, thereby meeting the needs of different users.
  • the method of configuring the personality type of the avatar may also include:
  • the first image is collected through a camera installed in the vehicle.
  • the first image includes the user's appearance features, and the appearance features include facial features, face shape, clothing, expression, etc.
  • the appearance characteristics of the user included in the first image are analyzed to determine the appearance type of the user, where the appearance type includes rugged type, petite type, cute type, intellectual type, etc.
  • a candidate personality type associated with the user's appearance type is searched for, and the candidate personality type associated with the appearance type is recorded as the first candidate personality type.
  • the personality type of the avatar is configured according to the candidate personality type selected by the user.
  • the candidate personality type selected by the user is not received within a preset time after the candidate personality type is displayed, other personality types are displayed.
  • the other personality types are personality types other than all candidate personality types associated with the user's appearance type. If other personality types selected by the user are received, the other personality types selected by the user are used to configure the personality type of the avatar.
  • the candidate personality type after determining that there is one candidate personality type, display the candidate personality type.
  • the first instruction is received within a preset time after the candidate personality type is displayed.
  • the first instruction represents that the user has determined to use the candidate personality type, and then configures the personality type of the avatar according to the candidate personality type. If the first instruction is not received within a preset time after the candidate personality type is displayed, other personality types are displayed. If other personality types selected by the user are received, the other personality types selected by the user are used to configure the personality type of the avatar.
  • the method of configuring the personality type of the avatar may also include:
  • the driving behavior information includes driving route, accelerator force, accelerator opening, average speed of the vehicle each time driven, etc.
  • the driving route includes the presence of highways, the absence of highways, the number of congested road sections, etc.
  • the user's common driving mode is determined. Frequently used driving modes refer to the driving modes that are used most frequently within a scheduled driving time (such as 7 days or 10 days, etc.).
  • a candidate personality type associated with the commonly used driving mode is determined, and the candidate personality type associated with the commonly used driving mode is recorded as a second candidate personality type.
  • all candidate personality types associated with the driving mode are displayed, and the user is prompted to select a candidate personality type.
  • the personality type of the avatar is configured according to the candidate personality type selected by the user.
  • the candidate personality type selected by the user is not received within a preset time after the candidate personality type is displayed, other personality types are displayed, and the other personality types are personality types other than the candidate personality type associated with the driving mode. If other personality types selected by the user are received, the other personality types selected by the user are used to configure the personality type of the avatar.
  • the method of configuring the personality type of the avatar may also include:
  • the first image is collected through a camera installed in the vehicle, and the first image includes the user's appearance characteristics.
  • the user's appearance features included in the first image are analyzed to determine the user's appearance type.
  • a suitable candidate personality type of the user is determined, and the personality type of the avatar is configured using the candidate personality type.
  • the suitable candidate personality type of the user is recorded as the third candidate personality type.
  • a suitable candidate personality type of the user is determined, and the candidate personality type is displayed.
  • the candidate personality type selected by the user is received within a preset time after the candidate personality type is displayed, the personality type of the avatar is configured according to the candidate personality type selected by the user.
  • the candidate personality type selected by the user is not received within a preset time after the candidate personality type is displayed, other personality types are displayed, and the other personality types are personality types other than the determined candidate personality type that is suitable for the user. If other personality types selected by the user are received, the other personality types selected by the user are used to configure the personality type of the avatar.
  • the vehicle control service includes determination of the driving route.
  • the above method may also include:
  • S401 Obtain the starting position of the vehicle and the end position selected or input by the user.
  • the user when using the vehicle, the user can set the user's starting point and end point through the navigation device in the vehicle.
  • the starting position can also be detected and obtained by the positioning device in the vehicle.
  • S402 Determine all driving routes from the starting position to the end position based on the starting position, the end position and the preset map.
  • each driving route from the starting point to the ending point can be determined by obtaining the route requirements input by the user.
  • the route containing the expressway needs to be removed.
  • the driving route required by the end user after each driving route is determined, the driving route required by the end user also needs to be determined based on the driving mode determined by the personality type.
  • the determined driving route required by the end user is a driving route consistent with the personality type, which can also be recorded as a target driving route.
  • step S403 may include:
  • the charges include at least one of fuel consumption charges and tolls, and the tolls include expressway tolls, bridge tolls, and other charges.
  • the driving mode is the economic mode, it means that the user's demand is lower fuel consumption. Therefore, it is necessary to select a route with lower fuel consumption among each driving route.
  • the vehicle condition information can include the sparsity of vehicles on the driving route, the number of red street lights, the speed limit value of the speed limit area, the location of the highway toll station, etc. Based on the driving route and vehicle condition information, the consumption cost on each driving route can be calculated.
  • the driving mode is a sports mode, it means that the user's need is to quickly reach the end location, and the user needs to find the driving route with the least driving time.
  • the method of determining the driving time is similar to the method of determining the estimated fuel consumption. Please refer to the method of determining the estimated fuel consumption, which will not be described again here.
  • the driving mode is the comfort mode, it means that the user's demand is to drive the vehicle as comfortably as possible. It is necessary to determine the expected number of traffic jams and/or the estimated duration of traffic jams in each driving route.
  • the method of determining the estimated number of traffic jams and the estimated traffic jam time is similar to the method of determining the estimated fuel consumption. Please refer to the method of determining the estimated fuel consumption, which will not be described again here.
  • the driving route corresponding to the minimum number of expected traffic jams will be used as the target driving route.
  • the driving route corresponding to the minimum value of the estimated traffic jam time will be used as the target driving route.
  • the traffic jam parameters are calculated based on the preset weights.
  • the driving route corresponding to the minimum value among the traffic jam parameters is regarded as the target driving route.
  • the product of the expected number of traffic jams and the first weight is calculated to obtain the first value.
  • the route selection strategy can be determined. Equivalently, after determining the personality type of the avatar, the route selection strategy can be determined, which reduces the items that need to be configured when configuring the vehicle and improves the vehicle configuration time.
  • the route selection strategy includes a route calculation model.
  • the route calculation model includes calculation models that calculate travel time, fuel consumption, estimated number of traffic jams, and estimated traffic jam time.
  • multiple application programming interfaces are set up on the vehicle.
  • the multiple APIs may include a virtual human engine API, an atomization service API, and a device abstraction API interface.
  • the virtual human engine API can include knowledge engine model, personality engine model, identity engine model, identity engine model, 3D image model engine and other engine models.
  • the 3D image model engine can include expression attributes, action attributes, clothing attributes, etc.
  • Identity engine models can include identity types, identity levels, etc.
  • Personality engine models can include personality type, voice, tone, etc.
  • Other engine models can include 3D model rendering engines and virtual human growth engines, etc.
  • Atomic service API can provide a variety of functional interactive service data.
  • Atomized service APIs can include human-computer interaction services, body control services, thermal management services, motion control services and other services.
  • the body control service can provide data including interior light control, door control, seat control and horn control.
  • Motion control services can provide data such as torque control, steering control, parking control and suspension control.
  • Human-computer interaction services can provide data such as voice interaction, display control, voice control, and vehicle control settings.
  • Thermal management services can provide data on ventilation control, temperature control, equipment cooling and environmental monitoring. Other services may include ecological content services, anthropomorphic chat services, vehicle diagnostic services, information consulting services, etc.
  • Setting abstract API interfaces can provide a variety of device abstract service data, such as sensor abstract interfaces, actuator abstract interfaces, traditional electronic control unit (ECU) abstract interfaces, and other hardware abstract interfaces.
  • the sensor abstraction interface can provide data such as battery voltage, battery current, window position, accelerator pedal position, brake pedal position, and steering wheel angle.
  • the actuator abstract interface can provide data such as door motor, parking motor, seat motor, wiper motor, suspension motor and window motor.
  • Traditional ECU abstract interfaces can provide Adaptive Cruise Control (ACC), Electronic Stability Program (ESP), Battery Management System (BMS), and Autonomous Emergency Braking , AEB), Transportation Management System (TMS) and Lane Keeping Assist (LKA) and other data.
  • ACC Adaptive Cruise Control
  • ESP Electronic Stability Program
  • BMS Battery Management System
  • AEB Autonomous Emergency Braking
  • TMS Transportation Management System
  • LKA Lane Keeping Assist
  • sequence number of each step in the above embodiment 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 embodiment of the present application.
  • FIG. 6 shows a structural block diagram of the vehicle-machine virtual image interaction system provided by the embodiment of the present application.
  • FIG. 6 shows a structural block diagram of the vehicle-machine virtual image interaction system provided by the embodiment of the present application.
  • the vehicle-machine virtual image interaction method according to the embodiment of the present application is shown. Relevant parts.
  • the system 500 may include: an avatar determination module 510 , a personality acquisition module 520 , a vehicle control strategy determination module 530 and a vehicle control module 540 .
  • the virtual image determination module 510 is used to find the virtual image that is preset in the vehicle machine and provides vehicle control services when the vehicle is started or running.
  • the vehicle control services include the determination of vehicle control strategies;
  • the personality acquisition module 520 is used to acquire the personality type of the avatar
  • the vehicle control strategy determination module 530 is configured to determine the vehicle control strategy associated with the obtained personality type, wherein the vehicle control strategy includes driving mode and/or vehicle control parameters;
  • the vehicle control module 540 is configured to control the operation of the vehicle based on the determined vehicle control strategy.
  • the above vehicle 500 may also include:
  • a speech synthesis strategy acquisition module configured to obtain a speech synthesis strategy associated with the personality type after receiving the user's voice interaction request, where the speech synthesis strategy includes at least one of timbre, corpus, and pitch;
  • An occupation information acquisition module configured to obtain the occupation of the avatar when it is determined that the voice interaction request includes a professional knowledge request
  • a professional knowledge determination module configured to determine the professional knowledge information of the avatar associated with the avatar according to the occupation of the avatar
  • An information output module configured to output the professional knowledge information corresponding to the voice interaction request according to the speech synthesis strategy.
  • the personality acquisition module 520 is connected to:
  • a virtual image generation module used to generate the virtual image
  • generating the virtual image includes:
  • the occupation information includes one of a teacher, an engineer, a president, an actor, a doctor, and a police officer;
  • the speech synthesis strategy includes intonation, timbre and corpus, and the personality Types include one of the gentle, active, cute, rational, enthusiastic, chatty, loyal, frugal, radical, and hedonistic types;
  • the service content of the virtual image is configured according to the service information selected and/or input by the user, and the service content includes at least one of chat service, perception service, ecological service, vehicle control service and vehicle diagnosis service.
  • the vehicle control service includes determination of the driving route, and the above-mentioned vehicle 500 also includes:
  • a position determination module for obtaining the starting position of the vehicle and the end position selected and/or input by the user
  • a route generation module configured to determine all driving routes from the starting location to the end location based on the starting location, the end location and a preset map
  • a route determination module is configured to select a driving route that is consistent with the obtained personality type from all the driving routes.
  • the route determination module can also be used to:
  • the expenses incurred by each driving route are determined based on the vehicle condition information on each driving route, and the expenses include fuel consumption expenses and highway expenses. at least one of them, and select the driving route with the lowest cost as the driving route that matches the personality type.
  • the route determination module can also be used to:
  • the driving time required for each driving route is determined based on the vehicle condition information on each driving route, and the driving route with the shortest driving time is selected as A driving route that matches the personality type described.
  • the route determination module can also be used to:
  • the estimated number of traffic jams and/or the estimated traffic jam time for each of the driving routes is determined based on the vehicle condition information on each of the driving routes.
  • the number of traffic jams and/or all the estimated traffic jam times are used to determine the driving route that is consistent with the personality type.
  • Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above.
  • Each functional unit and module 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 hardware-based. It can also be implemented in the form of software functional units.
  • the specific names of each functional unit and module are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present application.
  • For the specific working processes of the units and modules in the above system please refer to the corresponding processes in the foregoing method embodiments, and will not be described again here.
  • the vehicle 600 may include: at least one processor 610, a memory 620, and a program stored in the memory 620 and capable of running on the at least one processor 610.
  • Computer program When the processor 610 executes the computer program, it implements the steps in any of the above method embodiments, such as steps S101 to S104 in the embodiment shown in FIG. 1 .
  • the processor 610 executes the computer program, it implements the functions of each module/unit in each of the above device embodiments, such as the functions of modules 510 to 540 shown in FIG. 6 .
  • the computer program may be divided into one or more modules/units, and one or more modules/units are stored in the memory 620 and executed by the processor 610 to complete the present application.
  • the one or more modules/units may be a series of computer program segments capable of completing specific functions.
  • the program segments are used to describe the execution process of the computer program in the vehicle 600 .
  • FIG. 7 is only an example of a vehicle and does not constitute a limitation on the vehicle. It may include more or fewer components than shown, or combine certain components, or different components, such as input and output. Equipment, network access equipment, buses, etc.
  • the processor 610 may be a Central Processing Unit (CPU), other general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or an off-the-shelf processor. Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
  • the memory 620 may be an internal storage unit of the vehicle or an external storage device of the vehicle, such as a plug-in hard drive, a smart media card (SMC), a secure digital (SD) card, or a flash memory card (Flash). Card) etc.
  • the memory 620 is used to store the computer program and other programs and data required by the vehicle.
  • the memory 620 can also be used to temporarily store data that has been output or is to be output.
  • the bus can be an Industry Standard Architecture (Industry Standard Architecture, ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc.
  • ISA Industry Standard Architecture
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus can be divided into address bus, data bus, control bus, etc.
  • the bus in the drawings of this application is not limited to only one bus or one type of bus.
  • the vehicle-machine virtual image interaction method provided by the embodiments of the present application can be applied to terminal devices such as computers, tablets, laptops, netbooks, personal digital assistants (PDAs), etc.
  • terminal devices such as computers, tablets, laptops, netbooks, personal digital assistants (PDAs), etc.
  • PDAs personal digital assistants
  • the embodiments of the present application are specific to the types of terminal devices. No restrictions are made.
  • the disclosed terminal equipment, devices and methods can be implemented in other ways.
  • the terminal device embodiments described above are only illustrative.
  • the division of modules or units is only a logical function division.
  • there may be other division methods, such as multiple units or components. can be combined or can be integrated into another system, or some features can be ignored, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit.
  • the above integrated units can be implemented in the form of hardware or software functional units.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium.
  • the present application can implement all or part of the processes in the methods of the above embodiments, which can also be completed by instructing relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium, and the computer can When the program is executed by one or more processors, the steps of each of the above method embodiments can be implemented.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium.
  • the present application can implement all or part of the processes in the methods of the above embodiments, which can also be completed by instructing relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium, and the computer can When the program is executed by one or more processors, the steps of each of the above method embodiments can be implemented.
  • the computer program includes computer program code, which may be in the form of source code, object code, executable file or some intermediate form.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media, etc.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electrical carrier signals telecommunications signals
  • software distribution media etc.
  • the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of legislation and patent practice in the jurisdiction.
  • the computer-readable medium Excluded are electrical carrier signals and telecommunications signals.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Navigation (AREA)

Abstract

一种车机虚拟形象交互方法、系统、车辆及存储介质。该方法包括：先获取预先设置的虚拟形象的性格类型，根据性格类型确定车控策略和语音合成策略，最后利用车控策略控制车辆运行。本申请将虚拟形象的性格类型与车控策略、语音合成策略关联，用户在配置车辆时只需配置虚拟形象的性格类型即可得到车控策略和语音合成策略，对车辆的配置简单、快速。

Description

一种车机虚拟形象交互方法、系统、车辆及存储介质
本申请要求于2022年4月06日在中国专利局提交的、申请号为202210356483.3、发明名称为“一种车机虚拟形象交互方法、系统、车辆及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及车辆管理技术领域，具体涉及一种车机虚拟形象交互方法、系统、车辆及存储介质。
 背景技术
随着生活水平的提高，汽车已经是人们出行必不可少的工具。由于汽车的智能化程度低，用户在使用汽车时，需要分别选择汽车的多种参数，例如，油门踏板灵敏度、方向盘扭矩力度等。另外，用户在需要更改参数时，也需要一个参数一个参数进行选择并更改，为用户带来不便。
 技术问题
本申请实施例的目的之一在于：提供一种车机虚拟形象交互方法、系统、车辆及存储介质，可以解决汽车智能化程度低的问题。
 技术解决方案
本申请实施例采用的技术方案是：
第一方面，提供了一种车机虚拟形象交互方法，包括：
在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
获取所述虚拟形象的性格类型；
根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
基于确定出的所述车控策略控制所述车辆的运行。
第二方面，提供了一种车机虚拟形象交互系统，包括：
虚拟形象确定模块，用于在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
性格获取模块，用于获取所述虚拟形象的性格类型；
车控策略确定模块，用于根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
车辆控制模块，用于基于确定出的所述车控策略控制所述车辆的运行。
第三方面，提供一种车机虚拟形象交互系统，包括：
虚拟形象确定模块，用于在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
性格获取模块，用于获取所述虚拟形象的性格类型；
车控策略确定模块，用于根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
车辆控制模块，用于基于确定出的所述车控策略控制所述车辆的运行。
第四方面，提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现上述第一方面中任一项所述的车机虚拟形象交互方法。
第五方面，提供一种计算机程序产品，当计算机程序产品在车辆上运行时，使得车辆执行上述第一方面中任一项所述的车机虚拟形象交互方法。
 有益效果
本申请实施例提供的第一方面的有益效果在于：本申请在车辆启动或运行时，先获取车机中虚拟形象的性格类型，根据性格类型确定车控策略，最后利用车控策略控制车辆运行；相较于现有技术需要分别配置车辆的多种项目，本申请将虚拟形象的性格类型与车控策略关联，车辆在使用时，只需根据虚拟形象的性格类型即可得到车控策略，使车辆的配置简单、快速，提高了车辆的自动化程度。
可以理解的是，上述第二方面至第五方面的有益效果可以参见上述第一方面中的相关描述，在此不再赘述。
 附图说明
图1是本申请一实施例提供的车机虚拟形象交互方法的流程示意图；
图2是本申请一实施例提供的专业知识输出方法的流程示意图；
图3是本申请一实施例提供的虚拟形象的多种头像的示意图；
图4是本申请一实施例提供的行驶路线的确定方法的流程示意图；
图5是本申请一实施例提供的虚拟人的架构示意图；
图6是本申请一实施例提供的车机虚拟形象交互系统的结构示意图；
图7是本申请另一实施例提供的车辆的结构示意图。
 本发明的实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本申请。
术语“第一”、“第二”、“第三”等仅用于便于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明技术特征的数量。“多个”的含义是两个或两个以上，除非另有明确具体的限定。
随着人工智能、虚拟现实等技术的快速发展，虚拟数字人逐渐应用在各个领域。虚拟数字人是利用数字建模技术，通过3D图形渲染技术、动作捕捉技术等模拟真实人物表情、神态特征，并运用深度学习、语义理解和语音合成等技术形成的具有人类特征的AI机器人。
目前，随着汽车的发展，车载虚拟数字人已经在车辆中得到应用。但是，车载虚拟数字人的虚拟形象的设置比较单一，用户只能自定义虚拟形象的服饰和五官，由于用户可以自定义的项目较少，不能满足不同用户对虚拟形象的需求，用户个性化体验差。
本申请提供的车机虚拟形象交互方法，用户可以自定义车机中虚拟形象的多种信息，满足了不同用户对车机中虚拟形象的不同需求。
图1示出了本申请提供的车机虚拟形象交互方法的示意性流程图，参照图1，对该方法的详述如下。
S101，在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定。
在本实施例中，虚拟形象为用户提前设置的，或出厂时就提前设置好的。虚拟形象可以包括性格类型、外形、职业和虚拟形象的服务内容等。具体的，用户可以通过手持终端或车辆上的显示设备设置虚拟形象，例如，手持终端可以为手机或平板电脑等。
在本实施例中，车辆启动可以通过检测车辆钥匙所在的位置确定。车辆运行可以通过速度传感器检测的车辆速度确定。或者，车辆运行还可以通过检测车辆的挡位确定，车辆处于前进挡、后退挡时确定车辆运行。
在本实施例中，车控服务还可以包括行驶路线的确定。
S102，获取虚拟形象的性格类型。
在本实施例中，用户可以通过手持终端设置虚拟形象的性格类型。用户还可以通过车辆上到的显示设备设置虚拟形象的性格类型。
作为举例，用户可以在车辆上的显示设备显示虚拟形象的设置页面时，通过选择设置页面上的信息设置虚拟形象的性格类型。
在本实施例中，虚拟形象的性格类型可以为温和型、活跃型、可爱型、理智型、热情型、话唠型或忠诚型等。用户在设置虚拟形象时，可以将虚拟形象设置为上述性格类型中的任意一种。
S103，根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数。
在本实施例中，驾驶模式可以为经济模式、运动模式或舒适模式。车辆操控参数包括油门踏板灵敏度、方向盘扭矩力度、喷油量、发动机扭矩、发动机转速中的一种或多种。
在本实施例中，性格类型可以与驾驶模式关联存储。性格类型可以与车辆操控参数关联存储。性格类型还可以与驾驶模式和车辆操控参数均关联存储。
在本实施例中，车辆中预先设置不同的性格类型关联不同的车控策略。例如，温和型、享乐型等与舒适模式关联存储，活跃型、激进型等与运动模式关联存储，理智型、节俭型等与经济模式关联存储。
S104，基于确定出的车控策略控制车辆的运行。
在本实施例中，车控策略用于配置车辆。
本申请实施例中，先获取预先设置的虚拟形象的性格类型，根据性格类型确定车控策略，最后利用车控策略控制车辆运行；本申请将虚拟形象的性格类型与车控策略关联，用户在配置车辆时，只需配置虚拟形象的性格类型即可得到车控策略，相较于现有技术需要分别配置车辆的多种项目，本申请省去了对车控策略的配置过程，使车辆的配置简单、快速，提高了车辆的智能化程度。
在一种可能的实现方式中，在步骤S102之后，上述方法还可以包括：
根据获取的所述性格类型确定与之关联的虚拟形象的语音合成策略，所述语音合成策略包括音色、语料库和音调中的至少一个。
在本实施例中，性格类型还与语音合成策略关联存储，虚拟形象具有与所述性格类型关联的语音合成策略的功能。具体的，性格类型与语音TTS（Text To Speech，从文本到语音）关联，通过性格类型可以确定虚拟形象在发声时的信息。不同的性格类型可以关联不同的语音合成策略。
在本实施例中，性格类型还可以与语料库关联，语料库包括人机交互时，基于接收的用户发出的语音信息确定的应答信息，例如，用户发出的语音信息为“你好”，应答信息为“你好”。
在本实施例中，用户通过设置性格类型可以确定虚拟形象的语音合成策略，减少了用户在配置车辆上的虚拟形象时的配置项目，提高了配置效率。
在一种可能的实现方式中，上述方法还可以包括：
S201，获取所述虚拟形象的职业。
在本实施例中，虚拟形象的职业可以为医生、律师、教师、演员、警察或公务员等。用户在设置虚拟形象时，可以将虚拟形象设置为上述职业中的一种。
S202，根据虚拟形象的职业确定与之关联的专业知识信息。
在本实施例中，职业与对应的专业知识信息关联，根据获取的虚拟形象的职业确定与之关联的专业知识信息，虚拟形象具有职业对应的专业知识信息的交互能力。
虚拟形象的知识领域可以包括体育、国学、娱乐、新闻、购物和美容等。不同的职业可以关联不同的专业知识信息。
作为举例，若虚拟形象的职业为律师，与律师关联的专业知识信息为法律相关知识。若虚拟形象的职业为医生，与医生关联的专业知识信息为医学相关知识。
如图2所示，具体的，上述方法还可以包括：
S301，在接收到用户的语音交互请求后，获取与所述性格类型关联的语音合成策略。
S302，在确定所述语音交互请求包括专业知识请求时，获取所述虚拟形象的职业。
在本实施例中，专业知识请求可以根据语音交互请求中的关键字确定，若语音交互请求中包括预设的专业知识关键字，则确定该请求为专业知识请求；若语音交互请求中不包括预设的专业知识关键字，则确定该请求不是专业知识请求。例如，若语音交互请求中包括律师、医生等关键字，可以确定该语音交互请求为专业知识请求。
S303，根据所述虚拟形象的职业确定与之关联的所述虚拟形象的专业知识信息。
S304，根据所述语音合成策略，输出与所述语音交互请求对应的所述专业知识信息。
在本实施例中，虚拟形象在与用户交互过程中，接收到用户的语音交互请求后，对语音交互请求进行分析，并确定语音交互请求对应的应答信息。在语音交互请求包括对专业知识进行询问时，应答信息为专业知识信息，虚拟形象输出与语音交互请求对应的专业知识信息，且与语音交互请求对应的专业知识信息的输出语调、音色等，根据确定的语音合成策略确定。若语音交互请求不包括专业知识请求，则在语料库中查询与语音交互请求对应的应答信息。
作为举例，若用户的语音信息为“A事件是否为刑事案件”，则应答信息应该在法律专业知识信息中搜寻，以确定对应的应答信息。
在本实施例中，通过虚拟形象的职业可以确定虚拟形象的专业知识信息，减少了用户在配置车辆上的虚拟形象时的配置项目，提高了配置效率。
在一种可能的实现方式中，在步骤S102之前，上述方法还可以包括：
生成所述虚拟形象。
在本实施例中，虚拟形象可配置的信息包括：外形、职业、服务内容和性格类型等。用户可以在配置平台中选择虚拟形象的配置信息。配置平台可以为设置移动终端中的APP（application，应用程序），或者为车辆中的车控主机等。
具体的，生成虚拟形象的过程包括：
根据用户选择和/或输入的形象信息生成所述虚拟形象的外形。
在本实施例中，形象信息包括年龄、性别、头像、身材、国籍、语种中的至少一种。虚拟形象的年龄可以为20-30岁、31-35岁、36-40岁等。用户在设置虚拟形象时，可以将虚拟形象设置为上述年龄中的一种。
语言种类信息可以包括中文、英文、日文等。用户在设置虚拟形象时，可以将虚拟形象设置为上述语言种类中的一种。形象信息还可以包括虚拟形象的头像和国籍信息等。例如，头像可以为图3中所示。虚拟形象的身材可以为偏瘦、中等、肥胖等。
根据用户选择和/或输入的职业信息配置所述虚拟形象的职业。
在本实施例中，职业信息包括教师、工程师、总裁、演员、大夫、警察中的一种。
根据用户选择和/或输入的性格信息配置所述虚拟形象的性格类型，并根据所述性格类型自动确定与之关联的语音合成策略。
在本实施例中，语音合成策略包括语调、音色以及语料库，所述性格类型包括温和型、活跃型、可爱型、理智型、热情型、话唠型、忠诚型、节俭型、激进型、享乐型的一种。
根据用户选择和/或输入的服务信息配置虚拟形象的服务内容。
在本实施例中，服务内容包括闲聊服务、感知服务、生态服务、车控服务和车辆诊断服务中至少一种。感知服务包括语音感知、视觉感知、全域感知、全员感知和全时感知等。生态服务为车辆中的电子产品（如音频视频、记录仪、电子控制器等）提供数据、文件、协同等。车辆诊断服务用于确定车辆是否正常，例如，油箱中油的位置、安全带有无系好、车门有无关好等。
具体的，用户可以通过触摸车辆显示屏上的不同控键开启不同的服务。例如，在接收到用户作用在第一控键上的操作后，开启闲聊服务。
另外，若一个车辆中用户申请了多个虚拟形象，每个虚拟形象的配置信息可以不同，例如，每个虚拟形象的性格类型可以不同。
在虚拟形象配置完成后，用户可以在需要使用虚拟形象时，启用该虚拟形象，例如，通过虚拟控键控制虚拟形象的开启和关闭。
在本实施例中，为用户设置虚拟形象的配置接口，用户可以根据喜好和需要配置虚拟形象的信息，满足了不同用户的需求。
在一种可能的实现方式中，配置虚拟形象的性格类型的方法还可以包括：
通过车辆中安装的摄像头采集第一图像，第一图像包括用户的外貌特征，外貌特征包括五官、脸型、衣着和表情等。
对第一图像中包括的用户的外貌特征进行分析，确定用户的外貌类型，其中，外貌类型包括粗犷型、娇小型、可爱型、知性型等。
查找与用户的外貌类型关联的候选性格类型，与外貌类型关联的候选性格类型记为第一候选性格类型。
若与用户的外貌类型关联的候选性格类型为一个，利用该候选性格类型配置虚拟形象的性格类型。
若与用户的外貌类型关联的候选性格类型为至少两个，显示与用户的外貌类型关联的所有候选性格类型，并提示用户选择一个候选性格类型。
在显示候选性格类型之后的预设时间内接收到用户选择的候选性格类型，则根据用户选择的候选性格类型配置虚拟形象的性格类型。
若在显示候选性格类型之后的预设时间内未接收到用户选择的候选性格类型，显示其他性格类型，其他性格类型为除了与用户的外貌类型关联的所有候选性格类型之外的性格类型。若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置虚拟形象的性格类型。
可选的，在确定候选性格类型为一个后，显示候选性格类型。在显示候选性格类型之后的预设时间内接收到第一指令，第一指令表征用户确定使用该候选性格类型，则根据该候选性格类型配置虚拟形象的性格类型。若在显示候选性格类型之后的预设时间内未接收到第一指令，显示其他性格类型。若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置虚拟形象的性格类型。
在一种可能的实现方式中，配置虚拟形象的性格类型的方法还可以包括：
获取当前时间之前预设时间段内用户每次驾驶车辆时的驾驶行为信息，驾驶行为信息包括驾驶路线、踩油门力度、油门开度、每次驾驶车辆的平均速度等。驾驶路线包括存在高速、不存在高速、拥堵路段的个数等。基于用户的驾驶行为信息，确定用户的常用驾驶模式。常用驾驶模式是指在预定驾驶时间（例如7天或10天等）内，使用频次最多的驾驶模式。
确定与常用驾驶模式关联的候选性格类型，与常用驾驶模式关联的候选性格类型记为第二候选性格类型。
若与常用驾驶模式关联的候选性格类型为一个，利用该候选性格类型配置虚拟形象的性格类型。
若与常用驾驶模式关联的候选性格类型为至少两个，显示与驾驶模式关联的所有候选性格类型，并提示用户选择一个候选性格类型。
在显示候选性格类型之后的预设时间内接收到用户选择的候选性格类型，则根据用户选的候选性格类型配置虚拟形象的性格类型。
若在显示候选性格类型之后的预设时间内未接收到用户选择的候选性格类型，显示其他性格类型，其他性格类型为除了与驾驶模式关联的候选性格类型之外的性格类型。若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置虚拟形象的性格类型。
在一种可能的实现方式中，配置虚拟形象的性格类型的方法还可以包括：
通过车辆中安装的摄像头采集第一图像，第一图像包括用户的外貌特征。
对第一图像中包括的用户的外貌特征进行分析，确定用户的外貌类型。
获取当前时间之前预设时间段内用户每次驾驶车辆时的驾驶行为信息。
基于用户的外貌类型和确定的用户的驾驶行为信息，确定用户合适的候选性格类型，用该候选性格类型配置虚拟形象的性格类型。用户合适的候选性格类型记为第三候选性格类型。
或者，基于用户的外貌类型和确定的用户的驾驶行为信息，确定用户合适的候选性格类型，显示该候选性格类型。在显示候选性格类型之后的预设时间内接收到用户选择的候选性格类型，则根据用户选的候选性格类型配置虚拟形象的性格类型。
若在显示候选性格类型之后的预设时间内未接收到用户选择的候选性格类型，显示其他性格类型，其他性格类型为除了确定的用户合适的候选性格类型之外的性格类型。若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置虚拟形象的性格类型。
如图4所示，在一种可能的实现方式中，所述车控服务包括行驶路线的确定，上述方法还可以包括：
S401，获取车辆的起点位置和用户选择或输入的终点位置。
在本实施例中，用户在使用车辆时，可以通过车辆中的导航设备设置用户的起点位置和终点位置。
另外，起点位置还可以由车辆中的定位装置检测获得。
S402，基于所述起点位置、所述终点位置和预设地图，确定出从所述起点位置至所述终点位置的所有的行驶路线。
在本实施例中，从起点位置到达终点位置可能存在多种方法，例如，走高速或不走高速等，因此，需要根据起点位置和终点位置确定可以从起点位置到达终点位置的所有行驶路线。
具体的，还可以通过获取用户输入的路线需求，确定从起点位置到终点位置的各个行驶路线。
作为举例，若用户的路线需求为不走高速，在确定起点位置至终点位置的行驶路线时，需要将存在高速的路线去除。
S403，基于获取的性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线。
在本实施例中，在确定各个行驶路线后，还需要根据性格类型确定的驾驶模式确定最终用户需要的行驶路线。确定的最终用户需要的行驶路线为与性格类型相符合的行驶路线，也可以记为目标行驶路线。
具体的，步骤S403的实现过程可以包括：
S4031，在根据所述性格类型确定的驾驶模式包括经济模式时，基于各个行驶路线上的车况信息，确定各个行驶路线所产生的费用，选择费用最低的行驶路线作为与所述性格类型相符合的行驶路线。
在本实施例中，费用包括燃油消耗费用和过路费用中的至少一个，过路费用包括高速过路费、过桥费等费用。
在本实施例中，若驾驶模式为经济模式，说明用户的需求为油耗较低，因此，需要选择各个行驶路线中油耗较少的路线。
具体的，车况信息可以为行驶路线上车辆的稀疏程度、红路灯的个数、限速区域限速值、高速收费站位置等。根据行驶路线和车况信息，可以计算各个行驶路线上的消耗费用。
S4032，在根据所述性格类型确定的驾驶模式为运动模式时，基于各个行驶路线上的车况信息，确定各个行驶路线所需要的行驶时间，选择行驶时间最短的所述行驶路线作为与所述性格类型相符合的行驶路线。
在本实施例中，若驾驶模式为运动模式，说明用户的需求为快速到达终点位置，则需要查找行驶路线中行驶时间最少的行驶路线。
具体的，行驶时间的确定方法与预计油耗的确定方法相似，请参照预计油耗的确定方法，在此不再赘述。
S4033，在根据所述性格类型确定的驾驶模式为舒适模式时，基于各个行驶路线上的车况信息，确定各个行驶路线的预计堵车次数和/或预计堵车时间，基于所有所述预计堵车次数和/或所有所述预计堵车时间，确定与所述性格类型相符合的行驶路线。
在本实施例中，若驾驶模式为舒适模式，说明用户的需求为驾驶车辆尽量舒适。需要确定各个行驶路线中预计堵车次数和/或预计堵车时间。
具体的，预计堵车次数和预计堵车时间的确定方法与预计油耗的确定方法相似，请参照预计油耗的确定方法，在此不再赘述。
具体的，若根据车况信息确定的是预计堵车次数，则将预计堵车次数中的最小值对应的行驶路线作为目标行驶路线。
若根据车况信息确定的是预计堵车时间，则将预计堵车时间中的最小值对应的行驶路线作为目标行驶路线。
若根据车况信息确定的是预计堵车时间和预计堵车次数，则根据预设权重，计算堵车参数。将堵车参数中的最小值对应的行驶路线作为目标行驶路线。
具体的，计算预计堵车次数与第一权重的乘积，得到第一值。计算预计堵车时间与第二权重的乘积，得到第二值。计算第一值和第二值的和，得到堵车参数。
本申请实施例中，在确定了驾驶模式后，则可以确定路线选择策略。相当于，在确定虚拟形象的性格类型后，即可确定路线选择策略，减少了配置车辆时需要配置的项目，提高了车辆配置时间。路线选择策略包括路线计算模型。路线计算模型包括计算行驶时间、油耗、预计堵车次数和预计堵车时间的计算模型。
如图5所示，在一种可能的实现过程中，在车辆上设置多种应用程序编程接口（Application Programming Interface，API）。具体的，设有多个API，通过多个API共同定义虚拟数字人，例如，多个API可以包括虚拟人引擎API、原子化服务API和设备抽象API接口。
虚拟人引擎API可以包括知识引擎模型、性格引擎模型、身份引擎模型、身份引擎模型、3D形象模型引擎和其他引擎模型等。3D形象模型引擎可以包括表情属性、动作属性和服饰属性等。身份引擎模型可以包括身份类型、身份级别等。性格引擎模型可以包括性格类型、声色、音调等。其他引擎模型可以包括3d模型渲染引擎和虚拟人成长引擎等。
原子化服务API可以为提供多种功能交互服务数据。原子化服务API可以包括人机交互服务、车身控制服务、热管理服务、运动控制服务和其他服务等。车身控制服务可以提供包括内灯控制、车门控制、座椅控制和喇叭控制等数据。运动控制服务可以提供扭矩控制、转向控制、驻车控制和悬架控制等数据。人机交互服务可以提供语音交互、显示控制、声音控制和车控设置等数据。热管理服务可以提供通风控制、温度控制、设备散热和环境监测等数据。其他服务可以包括生态内容服务、拟人闲聊服务、车辆诊断服务、信息咨询服务等。
设置抽象API接口可以提供多种设备抽象服务数据，例如，传感器抽象接口、执行器抽象接口、传统电子控制单元（Electronic Control Unit，ECU）抽象接口和其他硬件抽象接口等。传感器抽象接口可以提供电池电压、电池电流、车窗位置、加速踏板位置、制动踏板位置和方向盘转角等数据。执行器抽象接口可以提供车门电机、驻车电机、座椅电机、雨刷电机、悬架电机和车窗电机等数据。传统ECU抽象接口可以提供自适应巡航控制系统（Adaptive Cruise Control，ACC）、车身电子稳定系统（Electronic Stability Program，ESP）、电池管理系统（Battery Management System，BMS）、自动制动系统（Autonomous Emergency Braking，AEB）、运输管理系统（Transportation Management System，TMS）和车道保持辅助（Lane Keeping Assist，LKA）等数据。
应理解，上述实施例中各步骤的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
对应于上文实施例所述的车机虚拟形象交互方法，图6示出了本申请实施例提供的车机虚拟形象交互系统的结构框图，为了便于说明，仅示出了与本申请实施例相关的部分。
参照图6，该系统500可以包括：虚拟形象确定模块510、性格获取模块520、车控策略确定模块530和车辆控制模块540。
其中，虚拟形象确定模块510，用于在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
性格获取模块520，用于获取所述虚拟形象的性格类型；
车控策略确定模块530，用于根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
车辆控制模块540，用于基于确定出的所述车控策略控制所述车辆的运行。
在一种可能的实现方式中，上述车辆500还可以包括：
语音合成策略获取模块，用于在接收到用户的语音交互请求后，获取与所述性格类型关联的语音合成策略，所述语音合成策略包括音色、语料库和音调中的至少一个；
职业信息获取模块，用于在确定所述语音交互请求包括专业知识请求时，获取所述虚拟形象的职业；
专业知识确定模块，用于根据所述虚拟形象的职业确定与之关联的所述虚拟形象的专业知识信息；
信息输出模块，用于根据所述语音合成策略，输出与所述语音交互请求对应的所述专业知识信息。
在一种可能的实现方式中，与性格获取模块520相连的还包括：
虚拟形象生成模块，用于生成所述虚拟形象；
其中，所述生成所述虚拟形象包括：
根据用户选择和/或输入的形象信息生成所述虚拟形象的外形，所述形象信息包括年龄、性别、头像、身材、国籍、语种中的至少一种；
根据用户选择和/或输入的职业信息配置所述虚拟形象的职业，所述职业信息包括教师、工程师、总裁、演员、大夫、警察中的一种；
根据用户选择和/或输入的性格信息配置所述虚拟形象的性格类型，并根据所述性格类型自动确定与之关联的语音合成策略，所述语音合成策略包括语调、音色以及语料库，所述性格类型包括温和型、活跃型、可爱型、理智型、热情型、话唠型、忠诚型、节俭型、激进型、享乐型中的一种；
根据用户选择和/或输入的服务信息配置虚拟形象的服务内容，所述服务内容包括闲聊服务、感知服务、生态服务、车控服务和车辆诊断服务中至少一种。
在一种可能的实现方式中，所述车控服务包括行驶路线的确定，上述车辆500还包括：
位置确定模块，用于获取车辆的起点位置和用户选择和/或输入的终点位置；
路线生成模块，用于基于所述起点位置、所述终点位置和预设地图，确定出从所述起点位置至所述终点位置的所有的行驶路线；
路线确定模块，用于基于获取的所述性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线。
在一种可能的实现方式中，路线确定模块具体还可以用于：
在根据所述性格类型确定的所述驾驶模式为经济模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线所产生的费用，所述费用包括燃油消耗费用和高速费用中的至少一个，并选择费用最低的所述行驶路线为与所述性格类型相符合的行驶路线。
在一种可能的实现方式中，路线确定模块具体还可以用于：
在根据所述性格类型确定的所述驾驶模式为运动模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线所需要的行驶时间，选择行驶时间最短的所述行驶路线为与所述性格类型相符合的行驶路线。
在一种可能的实现方式中，路线确定模块具体还可以用于：
在根据所述性格类型确定的所述驾驶模式包括舒适模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线的预计堵车次数和/或预计堵车时间，基于所有所述预计堵车次数和/或所有所述预计堵车时间，确定与所述性格类型相符合的行驶路线。
需要说明的是，上述装置/单元之间的信息交互、执行过程等内容，由于与本申请方法实施例基于同一构思，其具体功能及带来的技术效果，具体可参见方法实施例部分，此处不再赘述。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，仅以上述各功能单元、模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能单元、模块完成，即将所述装置的内部结构划分成不同的功能单元或模块，以完成以上描述的全部或者部分功能。实施例中的各功能单元、模块可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中，上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。另外，各功能单元、模块的具体名称也只是为了便于相互区分，并不用于限制本申请的保护范围。上述系统中单元、模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
本申请实施例还提供了一种车辆，参见图7，该车辆600可以包括：至少一个处理器610、存储器620以及存储在所述存储器620中并可在所述至少一个处理器610上运行的计算机程序，所述处理器610执行所述计算机程序时实现上述任意各个方法实施例中的步骤，例如图1所示实施例中的步骤S101至步骤S104。或者，处理器610执行所述计算机程序时实现上述各装置实施例中各模块/单元的功能，例如图6所示模块510至模块540的功能。
示例性的，计算机程序可以被分割成一个或多个模块/单元，一个或者多个模块/单元被存储在存储器620中，并由处理器610执行，以完成本申请。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机程序段，该程序段用于描述计算机程序在车辆600中的执行过程。
本领域技术人员可以理解，图7仅仅是车辆的示例，并不构成对车辆的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如输入输出设备、网络接入设备、总线等。
处理器610可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器 (Digital Signal Processor，DSP)、专用集成电路 (Application Specific Integrated Circuit，ASIC)、现成可编程门阵列 (Field-Programmable Gate Array，FPGA) 或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
存储器620可以是车辆的内部存储单元，也可以是车辆的外部存储设备，例如插接式硬盘，智能存储卡（Smart Media Card，SMC），安全数字（Secure Digital，SD）卡，闪存卡（Flash Card）等。所述存储器620用于存储所述计算机程序以及车辆所需的其他程序和数据。所述存储器620还可以用于暂时地存储已经输出或者将要输出的数据。
总线可以是工业标准体系结构（Industry Standard Architecture，ISA）总线、外部设备互连（Peripheral Component，PCI）总线或扩展工业标准体系结构（Extended Industry Standard Architecture，EISA）总线等。总线可以分为地址总线、数据总线、控制总线等。为便于表示，本申请附图中的总线并不限定仅有一根总线或一种类型的总线。
本申请实施例提供的车机虚拟形象交互方法可以应用于计算机、平板电脑、笔记本电脑、上网本、个人数字助理(personal digital assistant，PDA)等终端设备上，本申请实施例对终端设备的具体类型不作任何限制。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述或记载的部分，可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
在本申请所提供的实施例中，应该理解到，所揭露的终端设备、装置和方法，可以通过其它的方式实现。例如，以上所描述的终端设备实施例仅仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口，装置或单元的间接耦合或通讯连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被一个或多个处理器执行时，可实现上述各个方法实施例的步骤。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被一个或多个处理器执行时，可实现上述各个方法实施例的步骤。
同样，作为一种计算机程序产品，当计算机程序产品在终端设备上运行时，使得终端设备执行时实现可实现上述各个方法实施例中的步骤。
其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器（ROM，Read-Only Memory）、随机存取存储器（RAM，Random Access Memory）、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括是电载波信号和电信信号。
以上所述实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围，均应包含在本申请的保护范围之内。

Claims (20)

  1.  一种车机虚拟形象交互方法，其特征在于，包括：
    在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
    获取所述虚拟形象的性格类型；
    根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
    基于确定出的所述车控策略控制所述车辆的运行。
  2.  如权利要求1所述的车机虚拟形象交互方法，其特征在于，所述方法还包括：
    在接收到用户的语音交互请求后，获取与所述性格类型关联的语音合成策略，所述语音合成策略包括音色、语料库和音调中的至少一个；
    在确定所述语音交互请求包括专业知识请求时，获取所述虚拟形象的职业；
    根据所述虚拟形象的职业确定与之关联的所述虚拟形象的专业知识信息；
    根据所述语音合成策略，输出与所述语音交互请求对应的所述专业知识信息。
  3.  如权利要求1至2任一项所述的车机虚拟形象交互方法，其特征在于，在所述获取所述虚拟形象的性格类型之前，所述方法还包括：
    生成所述虚拟形象。
  4.  如权利要求3所述的车机虚拟形象交互方法，其特征在于，所述生成所述虚拟形象，包括：
    根据用户选择和/或输入的形象信息生成所述虚拟形象的外形；
    根据用户选择和/或输入的职业信息配置所述虚拟形象的职业；
    根据用户选择和/或输入的性格信息配置所述虚拟形象的性格类型，并根据所述性格类型自动确定与之关联的语音合成策略，所述语音合成策略包括语调、音色以及语料库；
    根据用户选择和/或输入的服务信息配置虚拟形象的服务内容。
  5.  如权利要求3所述的车机虚拟形象交互方法，其特征在于，所述虚拟形象包括虚拟形象的性格类型，所述生成所述虚拟形象，包括：
    通过车辆中安装的摄像头采集第一图像，第一图像包括用户的外貌特征； 
    对所述第一图像中包括的用户的外貌特征进行分析，确定用户的外貌类型；
    查找与用户的外貌类型关联的第一候选性格类型；
    若与用户的外貌类型关联的第一候选性格类型为一个，利用所述第一候选性格类型配置虚拟形象的性格类型。
  6.  如权利要求5所述的车机虚拟形象交互方法，其特征在于，在所述查找与用户的外貌类型关联的第一候选性格类型之后，所述方法还包括：
    若与用户的外貌类型关联的第一候选性格类型为至少两个，显示与用户的外貌类型关联的所有第一候选性格类型；
    在显示所述第一候选性格类型之后的预设时间内接收到用户选择的第一候选性格类型；
    根据用户选择的所述第一候选性格类型配置所述虚拟形象的性格类型。
  7.  如权利要求6所述的车机虚拟形象交互方法，其特征在于，在所述显示与用户的外貌类型关联的所有第一候选性格类型之后，所述方法还包括：
    若在显示所述第一候选性格类型之后的预设时间内未接收到用户选择的第一候选性格类型，显示其他性格类型，其中，所述其他性格类型为除了与用户的外貌类型关联的所有第一候选性格类型之外的性格类型；
    若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置所述虚拟形象的性格类型。
  8.  如权利要求3所述的车机虚拟形象交互方法，其特征在于，所述虚拟形象包括虚拟形象的性格类型，所述生成所述虚拟形象，包括：
    获取当前时间之前预设时间段内用户每次驾驶车辆时的驾驶行为信息，驾驶行为信息包括驾驶路线和车辆行驶参数；
    基于用户的所述驾驶行为信息，确定用户的常用驾驶模式；
    确定与所述常用驾驶模式关联的第二候选性格类型；
    若与所述常用驾驶模式关联的第二候选性格类型为一个，利用所述第二候选性格类型配置虚拟形象的性格类型。
  9.  如权利要求8所述的车机虚拟形象交互方法，其特征在于，在所述确定与所述常用驾驶模式关联的候选性格类型之后，所述方法还包括：
    若与所述常用驾驶模式关联的第二候选性格类型为至少两个，显示与所述驾驶模式关联的所有第二候选性格类型；
    在显示所有第二候选性格类型之后的预设时间内接收到用户选择的第二候选性格类型，则根据用户选的第二候选性格类型配置所述虚拟形象的性格类型。
  10.  如权利要求9所述的车机虚拟形象交互方法，其特征在于，在所述显示与所述驾驶模式关联的所有候选性格类型之后，所述方法还包括：
    若在显示所有第二候选性格类型之后的预设时间内未接收到用户选择的第二候选性格类型，显示其他性格类型，其中，所述其他性格类型为除了与驾驶模式关联的候选性格类型之外的性格类型；
    若接收到用户选择的其他性格类型，利用用户选择的其他性格类型配置所述虚拟形象的性格类型。
  11.  如权利要求3所述的车机虚拟形象交互方法，其特征在于，所述虚拟形象包括虚拟形象的性格类型，所述生成所述虚拟形象，包括：
    通过车辆中安装的摄像头采集第一图像，第一图像包括用户的外貌特征；
    对第一图像中包括的用户的外貌特征进行分析，确定用户的外貌类型；
    获取当前时间之前预设时间段内用户每次驾驶车辆时的驾驶行为信息；
    基于用户的外貌类型和确定的用户的驾驶行为信息，确定合适用户的第三候选性格类型；
    基于确定的第三候选性格类型配置虚拟形象的性格类型。
  12.  如权利要求1至11任一项所述的车机虚拟形象交互方法，其特征在于，所述车控服务包括行驶路线的确定，所述方法还包括：
    获取车辆的起点位置和用户选择和/或输入的终点位置；
    基于所述起点位置、所述终点位置和预设地图，确定出从所述起点位置至所述终点位置的所有的行驶路线；
    基于获取的所述性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线。
  13.  如权利要求12所述的车机虚拟形象交互方法，其特征在于，所述基于获取的所述性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线，包括：
    在根据所述性格类型确定的所述驾驶模式为经济模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线所产生的费用，所述费用包括燃油消耗费用和过路费用中的至少一个，并选择费用最低的所述行驶路线作为与所述性格类型相符合的行驶路线。
  14.  如权利要求12所述的车机虚拟形象交互方法，其特征在于，所述基于获取的所述性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线，包括：
    在根据所述性格类型确定的所述驾驶模式为运动模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线所需要的行驶时间，选择行驶时间最短的所述行驶路线作为与所述性格类型相符合的行驶路线。
  15.  如权利要求12所述的车机虚拟形象交互方法，其特征在于，所述基于获取的所述性格类型，在所有的所述行驶路线中选择出与之相符合的行驶路线，包括：
    在根据所述性格类型确定的所述驾驶模式包括舒适模式时，基于各个所述行驶路线上的车况信息，确定各个所述行驶路线的预计堵车次数和/或预计堵车时间，基于所有所述预计堵车次数和/或所有所述预计堵车时间，确定与所述性格类型相符合的行驶路线。
  16.  如权利要求1所述的车机虚拟形象交互方法，其特征在于，在所述获取虚拟形象的性格类型之后，所述方法还包括：
    根据获取的所述性格类型确定与之关联的虚拟形象的语音合成策略，所述语音合成策略包括音色、语料库和音调中的至少一个。
  17.  如权利要求1所述的车机虚拟形象交互方法，其特征在于，在所述查找出预先设置在车机中且提供车控服务的虚拟形象之后，所述方法还包括：
    获取所述虚拟形象的职业；
    根据虚拟形象的职业确定与之关联的专业知识信息。
  18.  一种车机虚拟形象交互系统，其特征在于，包括：
    虚拟形象确定模块，用于在车辆启动或运行时，查找出预先设置在车机中且提供车控服务的虚拟形象，所述车控服务包括车控策略的确定；
    性格获取模块，用于获取所述虚拟形象的性格类型；
    车控策略确定模块，用于根据获取的所述性格类型确定与之关联的车控策略，其中，所述车控策略包括驾驶模式和/或车辆操控参数；
    车辆控制模块，用于基于确定出的所述车控策略控制所述车辆的运行。
  19.  一种车辆，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至17任一项所述的车机虚拟形象交互方法。
  20. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至17任一项所述的车机虚拟形象交互方法。
PCT/CN2023/085141 2022-04-06 2023-03-30 一种车机虚拟形象交互方法、系统、车辆及存储介质 WO2023193652A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210356483.3A CN115214696A (zh) 2022-04-06 2022-04-06 一种车机虚拟形象交互方法、系统、车辆及存储介质
CN202210356483.3 2022-04-06

Publications (1)

Publication Number Publication Date
WO2023193652A1 true WO2023193652A1 (zh) 2023-10-12

Family

ID=83606014

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/085141 WO2023193652A1 (zh) 2022-04-06 2023-03-30 一种车机虚拟形象交互方法、系统、车辆及存储介质

Country Status (2)

Country Link
CN (1) CN115214696A (zh)
WO (1) WO2023193652A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115214696A (zh) * 2022-04-06 2022-10-21 长城汽车股份有限公司 一种车机虚拟形象交互方法、系统、车辆及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109448737A (zh) * 2018-08-30 2019-03-08 百度在线网络技术（北京）有限公司 虚拟形象的创建方法、装置、电子设备与存储介质
CN111785246A (zh) * 2020-06-30 2020-10-16 联想(北京)有限公司 虚拟角色语音处理方法、装置及计算机设备
CN112034989A (zh) * 2020-09-04 2020-12-04 华人运通(上海)云计算科技有限公司 一种智能交互系统
CN113537443A (zh) * 2021-09-17 2021-10-22 深圳市信润富联数字科技有限公司 虚拟角色养成方法、装置、设备及可读存储介质
CN113808281A (zh) * 2021-08-23 2021-12-17 桂林未来鹏创软件有限公司 一种汽车虚拟精灵形象生成方法、系统、装置和存储介质
CN115214696A (zh) * 2022-04-06 2022-10-21 长城汽车股份有限公司 一种车机虚拟形象交互方法、系统、车辆及存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109448737A (zh) * 2018-08-30 2019-03-08 百度在线网络技术（北京）有限公司 虚拟形象的创建方法、装置、电子设备与存储介质
CN111785246A (zh) * 2020-06-30 2020-10-16 联想(北京)有限公司 虚拟角色语音处理方法、装置及计算机设备
CN112034989A (zh) * 2020-09-04 2020-12-04 华人运通(上海)云计算科技有限公司 一种智能交互系统
CN113808281A (zh) * 2021-08-23 2021-12-17 桂林未来鹏创软件有限公司 一种汽车虚拟精灵形象生成方法、系统、装置和存储介质
CN113537443A (zh) * 2021-09-17 2021-10-22 深圳市信润富联数字科技有限公司 虚拟角色养成方法、装置、设备及可读存储介质
CN115214696A (zh) * 2022-04-06 2022-10-21 长城汽车股份有限公司 一种车机虚拟形象交互方法、系统、车辆及存储介质

Also Published As

Publication number Publication date
CN115214696A (zh) 2022-10-21

Similar Documents

Publication Publication Date Title
CN106874597B (zh) 一种应用于自动驾驶车辆的高速公路超车行为决策方法
US11055544B2 (en) Electronic device and control method thereof
CN104816687B (zh) 车辆中的自动化驾驶者动作的系统和方法
US20150309512A1 (en) Regional operation modes for autonomous vehicles
US11302124B2 (en) Method and apparatus for evaluating vehicle, device and computer readable storage medium
Vögel et al. Emotion-awareness for intelligent vehicle assistants: A research agenda
US20160214482A1 (en) Personalized display system for integrating and varying car content, car content management method of personalized display system, and computer readable medium for performing car content management method
CN113723528B (zh) 车载语视融合多模态交互方法及系统、设备、存储介质
WO2023193652A1 (zh) 一种车机虚拟形象交互方法、系统、车辆及存储介质
Lin et al. Adasa: A conversational in-vehicle digital assistant for advanced driver assistance features
CN114385005B (zh) 个性化虚拟试驾装置、方法和存储介质
CN113811851A (zh) 用户界面耦合
WO2021258671A1 (zh) 基于车载数字人的辅助驾驶交互方法及装置、存储介质
Pfeffer et al. Continuous development of highly automated driving functions with vehicle-in-the-loop using the example of Euro NCAP scenarios
CN113548062A (zh) 汽车的交互控制方法、装置及计算机存储介质
Shi et al. A virtual reality-based platform to validate HMI design for increasing user’s trust in autonomous vehicle
CN116483305A (zh) 智能网联汽车数字虚拟人应用系统及其使用方法、车辆
Lin Cross-layer system design for autonomous driving
CN112654548B (zh) 一种自适应优化自动驾驶系统的方法及装置
Burghardt et al. Mobility trends: What’s ahead for automotive semiconductors
CN110015309B (zh) 车辆驾驶辅助系统和方法
CN117104238A (zh) 一种车辆控制方法、车辆及存储介质
Hu et al. A literature review of the research on interaction mode of self-driving cars
Nentwig et al. Hardware-in-the-loop testing of advanced driver assistance systems
CN115859219A (zh) 多模态交互方法、装置、设备及存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23784216

Country of ref document: EP

Kind code of ref document: A1