CN110065455A - Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium - Google Patents
Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium Download PDFInfo
- Publication number
- CN110065455A CN110065455A CN201910331470.9A CN201910331470A CN110065455A CN 110065455 A CN110065455 A CN 110065455A CN 201910331470 A CN201910331470 A CN 201910331470A CN 110065455 A CN110065455 A CN 110065455A
- Authority
- CN
- China
- Prior art keywords
- information
- vehicle
- scene recognition
- function
- scene
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
- B60R16/0373—Voice control
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Navigation (AREA)
Abstract
The invention discloses a kind of vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage mediums, and this method is by obtaining current time information, the habits information of driver and the current state information of vehicle;It is input in information fusion algorithm model using current state information and current time information as the input factor, to obtain scene Recognition result;Scene, which is generated, according to scene Recognition result confirms that prompt information, scene confirmation prompt information are used to that driver to be prompted to confirm whether the result of scene Recognition is accurate;It exports scene and confirms prompt information;After receiving scene Recognition and accurately instructing, the corresponding vehicle-mounted function of scene Recognition result is started according to habits information, actively provides function services to realize for driver, thus the vehicle-mounted service that offer is more intelligent.
Description
Technical field
The present invention relates to automotive field more particularly to a kind of vehicle-mounted function intelligent starting method, apparatus, computer equipment and
Storage medium.
Background technique
As intelligence is in the development of automotive field, more and more vehicle intelligent networked terminals have been provided with sound on the market
Control ability.The acoustic control of these vehicle intelligent networked terminals is only limitted to the specific phonetic order by receiving driver's input, and
Speech recognition is carried out to the phonetic order, the control such as starting navigation is carried out to terminal, music is played, adjusts volume to realize
System.
But the degree of intelligence of sound control technique is very low at present, needs driver to remember that various instructions are just able to achieve control, perhaps
More scenes are all the special instructions for receiving driver's sending, are just able to achieve corresponding function, intelligence degree is lower.
Summary of the invention
The embodiment of the present invention provides a kind of vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium, with
Realization actively provides function services for driver, to provide more intelligent vehicle-mounted service.
A kind of vehicle-mounted function intelligent starting method, comprising:
Obtain current time information, the habits information of driver and the current state information of vehicle;
Information fusion algorithm mould is input to using the current state information and the current time information as the input factor
In type, to obtain scene Recognition result;
Scene is generated according to the scene Recognition result and confirms prompt information, and the scene confirmation prompt information is for prompting
The driver confirms whether the result of the scene Recognition is accurate;
Export the scene confirmation prompt information;
After receiving scene Recognition and accurately instructing, it is corresponding that the scene Recognition result is started according to the habits information
Vehicle-mounted function, the scene Recognition, which is accurately instructed, to be used for by the driver according to what scene confirmation prompt information was fed back
Confirmation scene Recognition accurately instructs.
Preferably, the habits information includes the frequency of use of the vehicle-mounted function, described to be opened according to the habits information
Move the corresponding vehicle-mounted function of the scene Recognition result, comprising:
Judge whether the frequency of use reaches preset threshold;
If the frequency of use reaches the preset threshold, start the corresponding vehicle-mounted function of the scene Recognition result.
Preferably, it is described judge whether the frequency of use reaches preset threshold after, further includes:
If the frequency of use does not reach the preset threshold, issues function and open confirmation prompt information, the function
Confirmation prompt information is opened for prompting the driver to be confirmed whether using the corresponding vehicle-mounted function of the scene Recognition result;
When receiving function unlatching confirmation instruction, start the corresponding vehicle-mounted function of the scene Recognition result, the function
Confirmation instruction can be opened, the instruction that confirmation prompt information is fed back is opened according to the function by the driver.
Preferably, if the scene Recognition result is inaccurate, alternatively, if driver confirmation is known without using the scene
The corresponding vehicle-mounted function of other result issues information supplement prompt information then to prompt the driver to add scene Recognition supplement letter
Breath;
After receiving the scene Recognition supplemental information of driver's addition, the scene Recognition is supplemented and is believed
Breath, the current state information and the current temporal information are input to the information fusion algorithm as the input factor
In model, scene Recognition is re-started.
Preferably, the scene confirmation prompt information, the function open and confirm that prompt information and the information supplement mention
Show that information is speech prompt information, or is picture prompt information.
A kind of vehicle-mounted function Intelligent starting device, comprising:
Module is obtained, for obtaining the habits information of current time information, driver and the current state information of vehicle;
Identification module, for being input to letter using the current state information and the current time information as the input factor
It ceases in blending algorithm model, to obtain scene Recognition result;
Confirmation module confirms prompt information for generating scene according to the scene Recognition result, and the scene confirmation mentions
Show information for prompting the driver to confirm whether the result of the scene Recognition is accurate;
Output module, for exporting the scene confirmation prompt information;
Starting module, for starting the scene according to the habits information and knowing after reception scene Recognition accurately instructs
The corresponding vehicle-mounted function of other result, the scene Recognition, which accurately instructs, confirms prompt information according to the scene for the driver
That is fed back is used to confirm that scene Recognition accurately instructs.
Preferably, the habits information includes the frequency of use of the vehicle-mounted function, and the starting module includes:
Judging unit, for judging whether the frequency of use reaches preset threshold;
First start unit starts the scene Recognition knot if reaching the preset threshold for the frequency of use
The corresponding vehicle-mounted function of fruit.
Preferably, the starting module further include:
Prompt unit issues function and opens confirmation prompt if not reaching the preset threshold for the frequency of use
Information, the function open confirmation prompt information for prompting the driver to be confirmed whether using the scene Recognition result pair
The vehicle-mounted function of answering;
Second start unit, for it is corresponding to start the scene Recognition result when receiving function unlatching confirmation instruction
Vehicle-mounted function, the function, which is opened confirmation instruction and opened for the driver according to the function, confirms that prompt information is fed back
Instruction.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize above-mentioned vehicle-mounted function intelligent starting side when executing the computer program
The step of method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
The step of calculation machine program realizes above-mentioned vehicle-mounted function intelligent starting method when being executed by processor.
Above-mentioned vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium, by believing current state
Breath, current time information and the habits information of driver are input in information fusion algorithm model and carry out scene Recognition, can be right
The usage scenario of driver or the use demand of driver prejudge, and driver only needs to confirm whether scene Recognition is quasi-
Really, the starting service of vehicle-mounted function can actively be provided according to the habits information of driver;It is vehicle-mounted in the function start-up course
Terminal is from being traditionally changed by dynamic response instruction and actively being provided function services, so that not needing driver remembers that various voices refer to
It enables, vehicle-mounted function services can be enjoyed.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of vehicle-mounted function intelligent starting method in one embodiment of the invention;
Fig. 2 is the interaction diagrams of vehicle-mounted function intelligent starting method in one embodiment of the invention;
Fig. 3 is a flow chart of vehicle-mounted function intelligent starting method in one embodiment of the invention;
Fig. 4 is a functional block diagram of vehicle-mounted function Intelligent starting device in one embodiment of the invention;
Fig. 5 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Vehicle-mounted function intelligent starting method provided in an embodiment of the present invention, can be applicable in the application environment such as Fig. 1,
In, output device, feedback device are communicated with vehicle-mounted function Intelligent starting device.The vehicle-mounted function Intelligent starting device exists
After the current state information for getting current time information, the habits information of driver and vehicle, according to current time information,
The habits information of driver and the current state information of vehicle carry out scene Recognition, and generate scene confirmation prompt information, so
Scene confirmation prompt information is exported by output device afterwards;The scene Recognition that feedback device receives driver's input is accurate
Instruction, and give the accurate instruction feedback of scene Recognition to vehicle-mounted function Intelligent starting device;Vehicle-mounted function Intelligent starting device receives
After scene Recognition accurately instructs, the corresponding vehicle-mounted function of the scene Recognition result is started according to the habits information.Wherein, defeated
Out device can be, but not limited to device that various instantaneous speech powers, image output device etc. are exported for voice or image or
Equipment;Vehicle-mounted function Intelligent starting device can be, but not limited to the device for data processing such as various servers, onboard system
Or equipment;Feedback device includes but is not limited to the dress that various voice acquisition devices, touch panel device, key etc. are used to receive instruction
It sets or equipment.It should be noted that output device, feedback device and vehicle-mounted function Intelligent starting device in the embodiment of the present invention
It can be integrated, that is, be integrated into a terminal device, be also possible to distributed.
In one embodiment, as shown in Fig. 2, after vehicle start-up, the driver that obtains current time information, collect in advance
Habits information and vehicle current state information, and working as current time information, the habits information of driver and vehicle
Preceding status information is input in information fusion algorithm model as the input factor and carries out scene Recognition, obtains scene Recognition result;
Then scene is generated according to scene Recognition result and confirms prompt information, and scene confirmation prompt information is sent to driver,
To judge whether scene Recognition is accurate by the instruction of driver's input, if driver's input is that scene Recognition is accurate
Instruction, then prove that scene Recognition result is accurate, then judges whether usage scenario recognition result pair in conjunction with the habits information of driver
The vehicle-mounted function of answering starts corresponding vehicle-mounted function if judging result is the corresponding vehicle-mounted function of usage scenario recognition result.
Scene Recognition is being judged the result is that when all accurate, if driver's input is other instruction (such as scene Recognition result inaccuracy
Instruction is cancelled in instruction), then it proves scene Recognition inaccuracy, in order to accurately understand the demand of driver, prompt can be exported
Information is to prompt driver to add scene Recognition supplemental information, then by scene Recognition supplemental information, current time information, driver
Habits information and the current state information of vehicle be input in information fusion algorithm model and re-start as the input factor
Scene Recognition;The habits information of driver is being combined to judge whether the corresponding vehicle-mounted function of usage scenario recognition result, if fruit is driven
The person's of sailing confirmation does not use the corresponding vehicle-mounted function of scene Recognition result, then issues information supplement prompt information to prompt driver to add
Add scene Recognition supplemental information, further, then re-starts scene Recognition.
In one embodiment, it as shown in figure 3, providing a kind of vehicle-mounted function intelligent starting method, is applied in this way in Fig. 1
In vehicle-mounted function Intelligent starting device for be illustrated, include the following steps:
S10: current time information, the habits information of driver and the current state information of vehicle are obtained.
In this embodiment, the habits information of driver refer to the acquisition of vehicle-mounted function Intelligent starting device about driver
Habit information, such as go 8 points or so of driver the week morning company, at night 8 points or so go home, then Monday is to all
The satellite positioning place of five 8 points of mornings and at 8 points in evening and company is the habits information of driver;The current state of vehicle is believed
Breath may include the current satellite positioning place of vehicle, the travel speed of vehicle, acceleration, vehicle launch time segment information, go through
History traffic route information, the stop range information and parking duration information etc..
Specifically, the current state information of current time information, the habits information of driver and vehicle can pass through vehicle
Function Intelligent starting device is carried to be acquired to obtain.
S20: being input in information fusion algorithm model using current state information and current time information as the input factor,
To obtain scene Recognition result.
In this embodiment, the input factor refers to for being input in information fusion algorithm model, to carry out scene Recognition
Information;Information fusion algorithm model refers to the model for carrying out scene Recognition.Wherein, information fusion algorithm model carries out in advance
Training, training method may is that information (such as voice letter that acquisition driver and vehicle-mounted function Intelligent starting device interact
Breath), the information such as the current state information of the habits information of driver and various vehicles as the input factor, be input to initial
In information fusion algorithm model (i.e. untrained information fusion algorithm model), in addition the general self study of Cloud Server is calculated
Method constantly learns to obtain the continuous adjustment and improvement of initial information blending algorithm model.Wherein, the initial information fusion
In algorithm model, the input factor is calculated by scoring algorithm (such as fn=A*f1 (X)+B*f2 (Y)+C*f3 (Z),
A, B, C are the various input factors, and X, Y, Z are weight coefficient) identify that the accuracy of a scene anticipation is scored, in training process
In, scene Recognition is finally confirmed whether correctly come correction function fn, so that scoring algorithm is more and more accurate by driver.
S30: scene is generated according to scene Recognition result and confirms that prompt information, scene confirm that prompt information drives for prompting
Whether the result of member's confirmation scene Recognition is accurate.
In this embodiment, generating scene confirmation prompt information is to be filled by driver and vehicle-mounted function intelligent starting
Carry out information exchange is set, to ensure the accuracy or reliability of scene Recognition result.Wherein, the type of scene confirmation prompt information
It can be speech prompt information, be also possible to picture prompt information, i.e., carry out the prompt information of information displaying in display interface.
S40: output scene confirms prompt information.
In this embodiment, output device receives the scene confirmation prompt information of vehicle-mounted function Intelligent starting device transmission,
And scene confirmation prompt information is exported.Wherein, it if scene confirmation prompt information is speech prompt information, exports
Mode can be output device and carry out voice output;If the scene confirmation prompt information is picture prompt information, the side of output
Formula can be the displaying for carrying out scene confirmation prompt information in the form of image or picture on an output device.
S50: after receiving scene Recognition and accurately instructing, it is corresponding vehicle-mounted that scene Recognition result is started according to habits information
Function, scene Recognition is accurately instructed to be used to confirm that scene Recognition is accurate by driver according to what scene confirmation prompt information was fed back
Instruction.
In this embodiment, the scene Recognition that feedback device receives that driver issues accurately instructs, and by the scene Recognition
Accurate instruction is transferred to vehicle-mounted function Intelligent starting device.Vehicle-mounted function Intelligent starting device receives scene Recognition and accurately instructs
Afterwards, the corresponding vehicle-mounted function of scene Recognition result is started according to habits information.
Scene Recognition is accurately instructed to be used to confirm scene Recognition by driver according to what scene confirmation prompt information was fed back
Accurately instruction, wherein scene Recognition, which accurately instructs, can be the collected phonetic order of voice acquisition device institute, be also possible to
The instruction that generation is touched in specified button can also be and touch the instruction that specified region generates on touch panel device.It needs
What is illustrated is that the type that concrete scene identification accurately instructs mainly is determined by the type of feedback device.
The embodiment is melted by the way that current state information, current time information and the habits information of driver are input to information
Scene Recognition is carried out in hop algorithm model, the use demand for capableing of usage scenario or driver to driver prejudges,
Driver only needs to confirm whether scene Recognition is accurate, can actively provide opening for vehicle-mounted function according to the habits information of driver
Dynamic service;In the function start-up course, vehicle-mounted function Intelligent starting device (car-mounted terminal or onboard system etc.) is from traditionally
It is changed by dynamic response instruction and function services is actively provided, so that not needing driver remembers various phonetic orders, can enjoys
To vehicle-mounted function services.
Some concrete application scenes will be enumerated below, to achieve the purpose that facilitate the understanding to the present embodiment:
Concrete application scene 1: the current satellite positioning place of acquisition vehicle, the travel speed of vehicle, acceleration, vehicle open
Dynamic time segment information, history traffic route information, stop range information, parking duration information and current temporal information, and
It is input to these information as the input factor in information fusion algorithm model, to identify driving destination;It goes on a journey in identification
Behind vehicle destination, output is carried out by way of voice prompting and informs driver, driver is allowed whether to confirm the driving destination
Accurately;Driver can in a manner of by voice input (such as driver say " confirmation " or " uh " etc. sentences) feedback driving mesh
The accurate information in ground give vehicle-mounted function Intelligent starting device.After determining driving destination, work as if driver is previous
(i.e. driver is daily or almost daily at this if can all self-navigation function be used in the preceding temporal information corresponding period
All it is to open self-navigation function in a period) self-navigation function is then opened, and it is optimal to generate arrival driving destination
Traffic route.
Concrete application scene 2: according to the place of the passing maintenance of driver, the analysis of service cycle, when close to service cycle,
It reminds whether car owner reserves maintenance in advance, and starts the push of vehicle maintenance special discount information.
In addition, the present embodiment also provides weather forecast function: obtaining in preset time period, the current location information pair of vehicle
The Weather information in region is answered, and Weather information is fed back into driver, to carry out weather prompting.
It should be noted that in the present embodiment, vehicle-mounted function Intelligent starting device (starts after being waken up by driver
After vehicle-mounted function Intelligent starting device), it can permit driver within a certain period of time and exempt to wake up interaction (i.e. vehicle-mounted function intelligence
Starter is in standby), the delay of language bring is waken up to reduce, so as to promote experience, driver can also not have to
Note is gone to exempt to wake up word.Conventional public information is broadcasted, was reminded if broadcasted in preset time, weight is no longer carried out
Replay report, which is reminded, to be avoided harassing.
In addition, the present embodiment also provides some other concrete application scenes:
Concrete application scene 3: the period of having dinner Saturday/day often enters and leaves food and drink place, can actively ask whether to have dinner and
It has dinner place, car owner's load conditions, place parking stall situation of having dinner is informed after confirmation, it, can be with if car owner has related hobby
Suitable Catering Pubs nearby are recommended in requirement into related taste, environment.
Concrete application scene 4: the driver for often listening song/news/radio station/talking book etc., in vehicle driving
After a period of time, in the case where being not turned on the specific operations such as self-navigation function, actively ask whether to play user upper one
The secondary content not heard out, or recommend often to listen song/news/radio station/talking book of type etc..
In the embodiment of frequency of use that a habits information includes vehicle-mounted function, step S50: know when receiving scene
After not instructing not accurately, the corresponding vehicle-mounted function of scene Recognition result is started according to habits information, is specifically comprised the following steps:
S51: judge whether frequency of use reaches preset threshold.
In this embodiment, frequency of use can by the usage record to the corresponding vehicle-mounted function of scene Recognition result into
Row statistical analysis obtains.
S52: if frequency of use reaches preset threshold, start the corresponding vehicle-mounted function of scene Recognition result.
In this embodiment, if frequency of use reaches preset threshold, then it is assumed that driver is vehicle-mounted using this under the scene
A possibility that function, is very big, therefore starts the corresponding vehicle-mounted function of the scene Recognition result automatically.It in this way can be to avoid vehicle-mounted function
In the start-up course of energy, verification step is many and diverse, improves the usage experience of driver.
In one embodiment, in step S51: after judging whether frequency of use reaches preset threshold, which is also wrapped
Include following steps:
S53: it if frequency of use does not reach preset threshold, issues function and opens confirmation prompt information, function opens confirmation
Prompt information is for prompting driver to be confirmed whether the corresponding vehicle-mounted function of usage scenario recognition result.
In this embodiment, the type that function opens confirmation prompt information can be speech prompt information, be also possible to picture
Face prompt information carries out the prompt information of information displaying in display interface.
S54: confirm that the corresponding vehicle-mounted function of starting scene Recognition result, function is opened when instructing when receiving function and opening
It opens confirmation instruction and the instruction that confirmation prompt information is fed back is opened according to function by driver.
In this embodiment, the function that feedback device receives that driver issues opens confirmation instruction, and the function is opened
Confirmation instruction is transferred to vehicle-mounted function Intelligent starting device.Vehicle-mounted function Intelligent starting device receives function and opens confirmation instruction
Afterwards, the corresponding vehicle-mounted function of starting scene Recognition result.
Function opens confirmation instruction and opens the instruction that confirmation prompt information is fed back according to function by driver, wherein function
Energy, which opens confirmation instruction, can be the collected phonetic order of voice acquisition device institute, is also possible to the touch in specified button and produces
Raw instruction can also be and touch the instruction that specified region generates on touch panel device.It should be noted that concrete function is opened
Open what the type that confirmation instructs mainly was determined by the type of feedback device.
In one embodiment, if scene Recognition result inaccuracy, alternatively, if driver's confirmation does not use scene Recognition result
Corresponding vehicle-mounted function, the then embodiment further include:
S60: if scene Recognition result inaccuracy, alternatively, if driver's confirmation does not use the corresponding vehicle of scene Recognition result
Function is carried, then issues information supplement prompt information to prompt driver to add scene Recognition supplemental information.
In this embodiment, scene Recognition supplemental information refers to information required for re-starting scene Recognition;Information is mended
The type for filling prompt information can be speech prompt information, be also possible to picture prompt information, i.e., carries out information in display interface
The prompt information of displaying.Specifically, issue information supplement prompt information mode can be voice output, be also possible to image or
The form of picture carries out the displaying of information supplement prompt information.Wherein, if information supplement prompt information is speech prompt information,
Sending mode is voice output;If information supplement prompt information is picture prompt information, the mode that issues is image or picture
Form is shown.
S70: after receiving the scene Recognition supplemental information of driver's addition, by scene Recognition supplemental information, current shape
State information and current temporal information are input in information fusion algorithm model as the input factor, re-start scene Recognition.
In this embodiment, feedback device receives the scene Recognition supplemental information of driver's addition, and scene Recognition is mended
It fills information and is transferred to vehicle-mounted function Intelligent starting device.Vehicle-mounted function Intelligent starting device receives scene Recognition supplemental information
Afterwards, information fusion is input to using scene Recognition supplemental information, current state information and current temporal information as the input factor
In algorithm model, scene Recognition is re-started.
In one embodiment, scene confirmation prompt information, function open confirmation prompt information and information supplement prompt information
It for speech prompt information, or is picture prompt information.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of vehicle-mounted function Intelligent starting device is provided, the vehicle-mounted function Intelligent starting device with it is upper
Vehicle-mounted function intelligent starting method in embodiment is stated to correspond.As shown in figure 4, the vehicle-mounted function Intelligent starting device includes obtaining
Modulus block 10, identification module 20, confirmation module 30, output module 40 and starting module 50.Detailed description are as follows for each functional module:
Module 10 is obtained, for obtaining the habits information of current time information, driver and the current state letter of vehicle
Breath;
Identification module 20, for being input to information fusion using current state information and current time information as the input factor
In algorithm model, to obtain scene Recognition result;
Confirmation module 30 confirms that prompt information, scene confirm prompt information for generating scene according to scene Recognition result
For prompting driver to confirm whether the result of scene Recognition is accurate;
Output module 40, for exporting scene confirmation prompt information;
Starting module 50, for starting scene Recognition knot according to habits information after receiving scene Recognition and accurately instructing
The corresponding vehicle-mounted function of fruit, scene Recognition is accurately instructed to be used to confirm by driver according to what scene confirmation prompt information was fed back
Scene Recognition accurately instructs.
Preferably, in the embodiment that habits information includes the frequency of use of vehicle-mounted function, starting module 50 includes:
Judging unit 51, for judging whether frequency of use reaches preset threshold;
First start unit 52 starts the corresponding vehicle of scene Recognition result if reaching preset threshold for frequency of use
Carry function.
Preferably, starting module further include:
Prompt unit 53 issues function and opens confirmation prompt information, function if not reaching preset threshold for frequency of use
Confirmation prompt information can be opened for prompting driver to be confirmed whether the corresponding vehicle-mounted function of usage scenario recognition result;
Second start unit 54, for when receiving function unlatching confirmation instruction, starting scene Recognition result to be corresponding
Vehicle-mounted function, function open confirmation instruction and open the instruction that confirmation prompt information is fed back according to function by driver.
Optionally, vehicle-mounted function Intelligent starting device further include:
Complementary module, if for scene Recognition result inaccuracy, alternatively, if driver's confirmation does not use scene Recognition result
Corresponding vehicle-mounted function issues information supplement prompt information then to prompt driver to add scene Recognition supplemental information;
Module is re-recognized, for after receiving the scene Recognition supplemental information of driver's addition, scene Recognition to be mended
It fills information, current state information and current temporal information to be input in information fusion algorithm model as the input factor, again
Carry out scene Recognition.
Specific restriction about vehicle-mounted function Intelligent starting device may refer to above for vehicle-mounted function intelligent starting
The restriction of installation method, details are not described herein.Modules in above-mentioned vehicle-mounted function Intelligent starting device can be all or part of
It is realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of in computer equipment
Processor in, can also be stored in a software form in the memory in computer equipment, in order to processor call execute
The corresponding operation of above modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 5.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing data required for vehicle-mounted function intelligent starting method.The network interface of the computer equipment
For being communicated with external terminal by network connection.To realize a kind of vehicle-mounted function when the computer program is executed by processor
Intelligent starting method.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Obtain current time information, the habits information of driver and the current state information of vehicle;
It is input in information fusion algorithm model using current state information and current time information as the input factor, with
To scene recognition result;
Scene is generated according to scene Recognition result and confirms prompt information, and scene confirmation prompt information is for prompting driver true
Whether the result for recognizing scene Recognition is accurate;
It exports scene and confirms prompt information;
After receiving scene Recognition and accurately instructing, the corresponding vehicle-mounted function of scene Recognition result is started according to habits information
Can, scene Recognition is accurately instructed to be used to confirm that scene Recognition is accurate by driver according to what scene confirmation prompt information was fed back
Instruction.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain current time information, the habits information of driver and the current state information of vehicle;
It is input in information fusion algorithm model using current state information and current time information as the input factor, with
To scene recognition result;
Scene is generated according to scene Recognition result and confirms prompt information, and scene confirmation prompt information is for prompting driver true
Whether the result for recognizing scene Recognition is accurate;
It exports scene and confirms prompt information;
After receiving scene Recognition and accurately instructing, the corresponding vehicle-mounted function of scene Recognition result is started according to habits information
Can, scene Recognition is accurately instructed to be used to confirm that scene Recognition is accurate by driver according to what scene confirmation prompt information was fed back
Instruction.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of vehicle-mounted function intelligent starting method characterized by comprising
Obtain current time information, the habits information of driver and the current state information of vehicle;
It is input in information fusion algorithm model using the current state information and the current time information as the input factor,
To obtain scene Recognition result;
Scene, which is generated, according to the scene Recognition result confirms that prompt information, the scene confirmation prompt information are described for prompting
Driver confirms whether the result of the scene Recognition is accurate;
Export the scene confirmation prompt information;
After receiving scene Recognition and accurately instructing, it is corresponding vehicle-mounted that the scene Recognition result is started according to the habits information
Function, the scene Recognition is accurately instructed to be used to confirm by the driver according to what scene confirmation prompt information was fed back
Scene Recognition accurately instructs.
2. vehicle-mounted function intelligent starting method as described in claim 1, which is characterized in that the habits information includes the vehicle
The frequency of use of function is carried, it is described that the corresponding vehicle-mounted function of the scene Recognition result is started according to the habits information, comprising:
Judge whether the frequency of use reaches preset threshold;
If the frequency of use reaches the preset threshold, start the corresponding vehicle-mounted function of the scene Recognition result.
3. vehicle-mounted function intelligent starting method as claimed in claim 2, which is characterized in that described to judge that the frequency of use is
After no arrival preset threshold, further includes:
If the frequency of use does not reach the preset threshold, issues function and open confirmation prompt information, the function is opened
Confirmation prompt information is for prompting the driver to be confirmed whether using the corresponding vehicle-mounted function of the scene Recognition result;
When receiving function unlatching confirmation instruction, start the corresponding vehicle-mounted function of the scene Recognition result, the function is opened
It opens confirmation instruction and the instruction that confirmation prompt information is fed back is opened according to the function by the driver.
4. vehicle-mounted function intelligent starting method as claimed in any one of claims 1-3, which is characterized in that if the scene is known
Other result inaccuracy, alternatively, being issued if driver confirmation does not use the corresponding vehicle-mounted function of the scene Recognition result
Information supplement prompt information is to prompt the driver to add scene Recognition supplemental information;
After receiving the scene Recognition supplemental information of driver's addition, by the scene Recognition supplemental information, institute
Current state information and the current temporal information are stated as the input factor and is input to the information fusion algorithm model
In, re-start scene Recognition.
5. vehicle-mounted function intelligent starting method as described in claim 1, which is characterized in that the scene confirmation prompt information,
The function opens confirmation prompt information and the information supplement prompt information is speech prompt information, or is picture prompt letter
Breath.
6. a kind of vehicle-mounted function Intelligent starting device characterized by comprising
Module is obtained, for obtaining the habits information of current time information, driver and the current state information of vehicle;
Identification module melts for the current state information and the current time information to be input to information as the input factor
In hop algorithm model, to obtain scene Recognition result;
Confirmation module confirms prompt information, the scene confirmation prompt letter for generating scene according to the scene Recognition result
Breath is for prompting the driver to confirm whether the result of the scene Recognition is accurate;
Output module, for exporting the scene confirmation prompt information;
Starting module, for starting the scene Recognition according to the habits information after receiving scene Recognition and accurately instructing
As a result corresponding vehicle-mounted function, the scene Recognition, which accurately instructs, confirms prompt information institute according to the scene for the driver
Feedback is used to confirm that scene Recognition accurately instructs.
7. vehicle-mounted function Intelligent starting device as claimed in claim 6, which is characterized in that the habits information includes the vehicle
The frequency of use of function is carried, the starting module includes:
Judging unit, for judging whether the frequency of use reaches preset threshold;
First start unit starts the scene Recognition result pair if reaching the preset threshold for the frequency of use
The vehicle-mounted function of answering.
8. vehicle-mounted function Intelligent starting device as claimed in claim 7, which is characterized in that the starting module further include:
Prompt unit issues function and opens confirmation prompt information if not reaching the preset threshold for the frequency of use,
It is corresponding using the scene Recognition result for prompting the driver to be confirmed whether that the function opens confirmation prompt information
Vehicle-mounted function;
Second start unit, for starting the corresponding vehicle of the scene Recognition result when receiving function unlatching confirmation instruction
Function is carried, the function opens confirmation instruction and opens the finger that confirmation prompt information is fed back according to the function by the driver
It enables.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Any one of 5 vehicle-mounted function intelligent starting methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization vehicle-mounted function intelligent starting side as described in any one of claim 1 to 5 when the computer program is executed by processor
Method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910331470.9A CN110065455A (en) | 2019-04-24 | 2019-04-24 | Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910331470.9A CN110065455A (en) | 2019-04-24 | 2019-04-24 | Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110065455A true CN110065455A (en) | 2019-07-30 |
Family
ID=67368611
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910331470.9A Pending CN110065455A (en) | 2019-04-24 | 2019-04-24 | Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110065455A (en) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111071182A (en) * | 2019-12-31 | 2020-04-28 | 长城汽车股份有限公司 | Recommendation method, device and system for vehicle configuration function |
CN111196124A (en) * | 2020-01-06 | 2020-05-26 | 科大讯飞股份有限公司 | In-vehicle environment regulation method and device, electronic equipment and storage medium |
CN111516622A (en) * | 2019-09-23 | 2020-08-11 | 长城汽车股份有限公司 | Vehicle function service recommendation method and device |
CN112172712A (en) * | 2020-09-24 | 2021-01-05 | 上海仙塔智能科技有限公司 | Cabin service method and cabin service system |
CN112667882A (en) * | 2019-10-16 | 2021-04-16 | 斑马智行网络(香港)有限公司 | Content distribution method, device, system, computing device and storage medium |
CN112948956A (en) * | 2019-11-26 | 2021-06-11 | 北京新能源汽车股份有限公司 | Vehicle parameter generation method, device and equipment |
CN113103946A (en) * | 2021-03-19 | 2021-07-13 | 深圳恩联科技有限公司 | Oil tank truck anti-theft system based on machine learning |
CN113112724A (en) * | 2021-03-19 | 2021-07-13 | 深圳市海吉星智慧城市科技有限公司 | Oil tank truck anti-theft method based on machine learning |
CN113169924A (en) * | 2021-02-24 | 2021-07-23 | 华为技术有限公司 | Vehicle function prompting method and device, electronic equipment and vehicle |
CN113778633A (en) * | 2020-06-09 | 2021-12-10 | 比亚迪股份有限公司 | Operation control method and device of vehicle machine |
CN113868535A (en) * | 2021-10-12 | 2021-12-31 | 广汽埃安新能源汽车有限公司 | Driving function recommendation method and device, electronic equipment and storage medium |
WO2022141041A1 (en) * | 2020-12-29 | 2022-07-07 | Zhejiang Geely Holding Group Co., Ltd. | Driver monitoring method for monitoring the activity of a vehicle driver and vehicle for executing said method |
WO2023019517A1 (en) * | 2021-08-19 | 2023-02-23 | 阿波罗智联(北京)科技有限公司 | Instruction recommendation method and apparatus |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104977876A (en) * | 2014-04-10 | 2015-10-14 | 福特全球技术公司 | Usage Prediction For Contextual Interface |
CN105723384A (en) * | 2013-11-18 | 2016-06-29 | 三菱电机株式会社 | Information system and method for using prediction engine of vehicle |
CN107179870A (en) * | 2016-03-11 | 2017-09-19 | 丰田自动车株式会社 | Information provider unit and storage information provide the storage medium of program |
CN107295617A (en) * | 2017-06-30 | 2017-10-24 | 广东欧珀移动通信有限公司 | Method for information display, device, storage medium and electronic equipment |
CN108182093A (en) * | 2017-12-29 | 2018-06-19 | 戴姆勒股份公司 | Intelligent vehicle information entertainment |
CN108989541A (en) * | 2017-05-30 | 2018-12-11 | 现代自动车株式会社 | Session initiation device, system, vehicle and method based on situation |
CN109094575A (en) * | 2018-08-09 | 2018-12-28 | 上海擎感智能科技有限公司 | Control method for vehicle, server-side and the client of intelligent scene |
CN109383415A (en) * | 2017-08-08 | 2019-02-26 | 通用汽车环球科技运作有限责任公司 | Context aware vehicular communication system and control logic with adaptive crowd's sensing function |
-
2019
- 2019-04-24 CN CN201910331470.9A patent/CN110065455A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105723384A (en) * | 2013-11-18 | 2016-06-29 | 三菱电机株式会社 | Information system and method for using prediction engine of vehicle |
CN104977876A (en) * | 2014-04-10 | 2015-10-14 | 福特全球技术公司 | Usage Prediction For Contextual Interface |
CN107179870A (en) * | 2016-03-11 | 2017-09-19 | 丰田自动车株式会社 | Information provider unit and storage information provide the storage medium of program |
CN108989541A (en) * | 2017-05-30 | 2018-12-11 | 现代自动车株式会社 | Session initiation device, system, vehicle and method based on situation |
CN107295617A (en) * | 2017-06-30 | 2017-10-24 | 广东欧珀移动通信有限公司 | Method for information display, device, storage medium and electronic equipment |
CN109383415A (en) * | 2017-08-08 | 2019-02-26 | 通用汽车环球科技运作有限责任公司 | Context aware vehicular communication system and control logic with adaptive crowd's sensing function |
CN108182093A (en) * | 2017-12-29 | 2018-06-19 | 戴姆勒股份公司 | Intelligent vehicle information entertainment |
CN109094575A (en) * | 2018-08-09 | 2018-12-28 | 上海擎感智能科技有限公司 | Control method for vehicle, server-side and the client of intelligent scene |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111516622A (en) * | 2019-09-23 | 2020-08-11 | 长城汽车股份有限公司 | Vehicle function service recommendation method and device |
CN112667882A (en) * | 2019-10-16 | 2021-04-16 | 斑马智行网络(香港)有限公司 | Content distribution method, device, system, computing device and storage medium |
CN112948956A (en) * | 2019-11-26 | 2021-06-11 | 北京新能源汽车股份有限公司 | Vehicle parameter generation method, device and equipment |
CN111071182A (en) * | 2019-12-31 | 2020-04-28 | 长城汽车股份有限公司 | Recommendation method, device and system for vehicle configuration function |
CN111196124A (en) * | 2020-01-06 | 2020-05-26 | 科大讯飞股份有限公司 | In-vehicle environment regulation method and device, electronic equipment and storage medium |
CN113778633A (en) * | 2020-06-09 | 2021-12-10 | 比亚迪股份有限公司 | Operation control method and device of vehicle machine |
CN112172712A (en) * | 2020-09-24 | 2021-01-05 | 上海仙塔智能科技有限公司 | Cabin service method and cabin service system |
WO2022141041A1 (en) * | 2020-12-29 | 2022-07-07 | Zhejiang Geely Holding Group Co., Ltd. | Driver monitoring method for monitoring the activity of a vehicle driver and vehicle for executing said method |
CN113169924A (en) * | 2021-02-24 | 2021-07-23 | 华为技术有限公司 | Vehicle function prompting method and device, electronic equipment and vehicle |
CN113112724A (en) * | 2021-03-19 | 2021-07-13 | 深圳市海吉星智慧城市科技有限公司 | Oil tank truck anti-theft method based on machine learning |
CN113103946A (en) * | 2021-03-19 | 2021-07-13 | 深圳恩联科技有限公司 | Oil tank truck anti-theft system based on machine learning |
WO2023019517A1 (en) * | 2021-08-19 | 2023-02-23 | 阿波罗智联(北京)科技有限公司 | Instruction recommendation method and apparatus |
CN113868535A (en) * | 2021-10-12 | 2021-12-31 | 广汽埃安新能源汽车有限公司 | Driving function recommendation method and device, electronic equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110065455A (en) | Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium | |
CN108074412B (en) | Method and device for driving assistance of a vehicle | |
US8538621B2 (en) | Charge reminder notification to increase electric only efficiency | |
EP3996346A1 (en) | Message pushing method, storage medium, and server | |
CN107491825B (en) | Taxi booking processing method and system | |
CN102187285B (en) | Communications device having a commute time function and methods of use thereof | |
US8014794B2 (en) | Mobile terminal and schedule management method using the same | |
CN107784367A (en) | Automatic driving vehicle reservation system and device | |
CN105628048A (en) | Map information processing method and terminal | |
CN105905052A (en) | Method and Apparatus for Predictive Vehicle Preconditioning | |
US9237534B2 (en) | Mobile application DRx synchronization with embedded vehicle hardware | |
CN102735257A (en) | Navigation terminal, navigation method and navigation system | |
CN105225660A (en) | The adaptive method of voice system and system | |
CN107289964B (en) | Navigation voice broadcasting method and device | |
CN108288201A (en) | The method and device of stroke expense bill is provided in net about vehicle system for target user | |
US20190287520A1 (en) | Dialog processing system, vehicle having the same, dialog processing method | |
CN106205602A (en) | Speech playing method and system | |
CN109115236A (en) | Vehicle, vehicle device equipment and its stroke automatic navigation method based on condition triggering | |
CN105096637A (en) | Public transportation-based navigation information acquisition method and device | |
CN108665234A (en) | User behavior motivational techniques, device, computer equipment and storage medium | |
CN103813424B (en) | Owner may be selected and can context regulation DRX timing | |
CN110136466B (en) | Road condition information pushing method and system and vehicle | |
US11069372B2 (en) | Information providing apparatus | |
CN111625662A (en) | Method, server, system and computer storage medium for pushing startup welcome language | |
CN103618838A (en) | Method and system for assisting in driving by mobile terminal |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190730 |
|
RJ01 | Rejection of invention patent application after publication |