CN107918963A - Information generating method and device for vehicle - Google Patents
Information generating method and device for vehicle Download PDFInfo
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- CN107918963A CN107918963A CN201711135904.5A CN201711135904A CN107918963A CN 107918963 A CN107918963 A CN 107918963A CN 201711135904 A CN201711135904 A CN 201711135904A CN 107918963 A CN107918963 A CN 107918963A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
Abstract
The embodiment of the present application discloses the information generating method and device for vehicle.One embodiment of this method includes：Receive the video information in the preset time period for the video capture device collection being installed on the vehicle；Driver is obtained in the preset time period for the vehicle control information of the vehicle；The video information and the vehicle control information are imported to the driving Rating Model pre-established, the driver is obtained to score to the ride quality of the vehicle in the preset time period, wherein, the Rating Model that drives is used to characterize the correspondence between video information and vehicle control information and ride quality scoring；Show that the driver scores the ride quality of the vehicle in the preset time period.The ride quality that the embodiment obtains driver by video information and vehicle control information scores, and can more accurately judge the driving condition of driver by the ride quality scoring of driver.
Description
Technical field
The invention relates to automobile technical field, and in particular to fatigue driving state detection technique field, especially relates to
And information generating method and device for vehicle.
Background technology
At this stage, automobile has become the important tool of people's trip, also band while automobile brings convenient
Carry out the road safety accident of some, wherein, fatigue driving is a key factor of initiation accident.At this stage can be by adopting
The fatigue conditions of the driver video identification driver of collection, for example, the face of the driver in driver's video can be obtained first
Portion's characteristic point, then identifies eye and mouth shapes by facial feature points, determines whether that eyes diminish, frequent blinking, beat
The fatigue phenomenons such as yawn.Judge whether driver is in fatigue state, it is necessary to carry out facial regions by the face feature of driver
The sequence of operations such as domain positioning, face feature identification, and easily influenced by factors such as illumination, posture, expressions.
The content of the invention
The embodiment of the present application proposes the information generating method and device for vehicle.
In a first aspect, the embodiment of the present application provides a kind of information generating method for vehicle, including：Reception is installed on
Video information in the preset time period of video capture device collection on above-mentioned vehicle；Obtain in above-mentioned preset time period and drive
Vehicle control information of the member for above-mentioned vehicle；Driven what above-mentioned video information and the importing of above-mentioned vehicle control information pre-established
Rating Model is sailed, above-mentioned driver is obtained and scores in above-mentioned preset time period the ride quality of above-mentioned vehicle, wherein, it is above-mentioned
Rating Model is driven to be used to characterize the correspondence between video information and vehicle control information and ride quality scoring；In display
Driver is stated to score to the ride quality of above-mentioned vehicle in above-mentioned preset time period.
In certain embodiments, the above method further includes：Using above-mentioned driver at least one preset time period it is right
Curve map is drawn in the ride quality scoring of above-mentioned vehicle, wherein, the abscissa of above-mentioned curve map is the time, and above-mentioned curve map is indulged
Coordinate scores for ride quality.
In certain embodiments, above-mentioned driving Rating Model includes convolutional neural networks, Recognition with Recurrent Neural Network and full connection
Layer, wherein, the input exported as above-mentioned Recognition with Recurrent Neural Network of above-mentioned convolutional neural networks, the output of above-mentioned Recognition with Recurrent Neural Network
For the input of above-mentioned full articulamentum.
In certain embodiments, the above method further includes the step of training above-mentioned driving Rating Model, including：Sample is regarded
Frequency information and sample vehicle control information are as input sample, by set in advance and above-mentioned Sample video information and above-mentioned sample
The corresponding ride quality scoring of this vehicle control information is used as output sample, wherein, above-mentioned Sample video information and above-mentioned sample
The information of sample vehicle that this vehicle control information gathers for the same period, same；Use above-mentioned input sample and above-mentioned defeated
Go out sample training and obtain above-mentioned driving Rating Model.
In certain embodiments, above-mentioned vehicle control information includes at least one of following：Steering wheel operation data, brake control
Data processed, Throttle Opening Control data, gear control data.
Second aspect, the embodiment of the present application provide a kind of information generation device for vehicle, including：Receiving unit,
The video information in preset time period for receiving the video capture device being installed on above-mentioned vehicle collection；Acquiring unit,
For obtaining in above-mentioned preset time period driver for the vehicle control information of above-mentioned vehicle；Import unit, for will be above-mentioned
Video information and above-mentioned vehicle control information import the driving Rating Model pre-established, obtain above-mentioned driver above-mentioned default
Score in period the ride quality of above-mentioned vehicle, wherein, above-mentioned driving Rating Model is used to characterize video information and vehicle
Correspondence between control information and ride quality scoring；Display unit, for showing above-mentioned driver when above-mentioned default
Between score the ride quality of above-mentioned vehicle in section.
In certain embodiments, above device further includes：Drawing unit, for using above-mentioned driver at least one pre-
If curve map is drawn in the ride quality scoring in the period to above-mentioned vehicle, wherein, the abscissa of above-mentioned curve map is the time, on
The ordinate for stating curve map scores for ride quality.
In certain embodiments, above-mentioned driving Rating Model includes convolutional neural networks, Recognition with Recurrent Neural Network and full connection
Layer, wherein, the input exported as above-mentioned Recognition with Recurrent Neural Network of above-mentioned convolutional neural networks, the output of above-mentioned Recognition with Recurrent Neural Network
For the input of above-mentioned full articulamentum.
In certain embodiments, above device further includes training unit, and above-mentioned training unit is used for：By Sample video information
With sample vehicle control information as input sample, by set in advance and above-mentioned Sample video information and above-mentioned sample vehicle
The corresponding ride quality scoring of control information is used as output sample, wherein, above-mentioned Sample video information and above-mentioned sample vehicle
The information of sample vehicle that control information gathers for the same period, same；Use above-mentioned input sample and above-mentioned output sample
Training obtains above-mentioned driving Rating Model.
In certain embodiments, above-mentioned vehicle control information includes at least one of following：Steering wheel operation data, brake control
Data processed, Throttle Opening Control data, gear control data.
The third aspect, the embodiment of the present application provide a kind of terminal, which includes：One or more processors；Storage
Device, for storing one or more programs, when said one or multiple programs are performed by said one or multiple processors,
So that said one or multiple processors realize the method as described in any implementation in first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer-readable recording medium, are stored thereon with computer journey
Sequence, wherein, the method as described in any implementation in first aspect is realized when which is executed by processor.
Information generating method and device provided by the embodiments of the present application for vehicle, receives be installed on vehicle first
Video information in the preset time period of video capture device collection, and driver is obtained in above-mentioned preset time period for above-mentioned
The vehicle control information of vehicle, above-mentioned video information and above-mentioned vehicle control information are then imported and drive Rating Model, obtain
Ride quality to above-mentioned vehicle of the above-mentioned driver in above-mentioned preset time period scores, and finally shows above-mentioned driver upper
The ride quality to above-mentioned vehicle stated in preset time period scores.So as to be driven by video information and vehicle control information
The ride quality scoring for the person of sailing, can more accurately judge the driving shape of driver by the ride quality scoring of driver
Condition, so that it is determined that whether driver is in fatigue driving state.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is that this application can be applied to exemplary system architecture figure therein；
Fig. 2 is the flow chart according to one embodiment of the information generating method for vehicle of the application；
Fig. 3 is the schematic diagram according to an application scenarios of the information generating method for vehicle of the application；
Fig. 4 is the structure diagram according to one embodiment of the information generation device for vehicle of the application；
Fig. 5 is adapted for the structure diagram of the computer system of the vehicle intelligent brain for realizing the embodiment of the present application.
Embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
It illustrate only easy to describe, in attached drawing and invent relevant part with related.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the information generating method for vehicle that can apply the application or the information generation dress for vehicle
The exemplary system architecture 100 for the embodiment put.
As shown in Figure 1, system architecture 100 can include vehicle 101.Can be provided with vehicle 101 collecting device 102,
103 and vehicle intelligent brain 104.Collecting device 102,103 can pass through various communication modes (such as wired, wireless communication link
Road or fiber optic cables etc.) information of collection is sent to vehicle intelligent brain 104.
Collecting device 102,103 can be the various electronic equipments for being capable of 101 information of collection vehicle, include but not limited to take the photograph
As head, acceleration transducer, pressure sensor, steering wheel angle sensor etc..
Vehicle intelligent brain 104 can dock the information that received, collecting device 102,103 gathers and analyze etc.
Reason, and handling result is shown.
It should be noted that the information generating method for vehicle that the embodiment of the present application is provided is generally by vehicle intelligent
Brain 104 performs, and correspondingly, the information generation device for vehicle is generally positioned in vehicle intelligent brain 104.
It should be understood that number, the species of the collecting device in Fig. 1 are only schematical.According to needs are realized, can have
There are arbitrary number, the collecting device of species.
With continued reference to Fig. 2, it illustrates one embodiment of the information generating method for vehicle according to the application
Flow 200.This is used for the information generating method of vehicle, comprises the following steps：
Step 201, the video information in the preset time period for the video capture device collection being installed on vehicle is received.
In the present embodiment, the information generating method operation electronic equipment thereon for vehicle is (such as shown in Fig. 1
Vehicle intelligent brain 104) regarding on above-mentioned vehicle can be received by wired connection mode or radio connection
Video information in the preset time period of frequency collecting device (such as camera) collection, wherein, above-mentioned video information can be used for
Record in above-mentioned preset time period, the surface conditions of above-mentioned vehicle front.Herein, above-mentioned preset time period can be according to reality
Border needs the period set, for example, can set since driver drives above-mentioned vehicle, per preset duration (for example, every 10
Minute) calculate a preset time period.As an example, above-mentioned front part of vehicle can be provided with least one camera, in above-mentioned car
Traveling during, above-mentioned at least one camera can gather road surface video.
Step 202, vehicle control information of the driver for vehicle in acquisition preset time period.
In the present embodiment, above-mentioned electronic equipment can receive the various information collecting devices on above-mentioned vehicle
Vehicle control information of the driver for above-mentioned vehicle in the above-mentioned preset time period of (for example, sensor) collection.As an example,
The steering wheel angle sensor that above-mentioned electronic equipment can be received in the steering column below the steering wheel of above-mentioned vehicle is adopted
Collection, in preset time period driver for steering wheel control information, for example, the corner of steering wheel and number of turns for turning over etc.
Deng.
In some optional implementations of the present embodiment, above-mentioned vehicle control information can include following at least one
：Steering wheel operation data, brake control data, Throttle Opening Control data, gear control data, driving route etc..As showing
Example, above-mentioned steering wheel operation data can include the rotation time of steering wheel, rotational angle, turn over number of turns etc., above-mentioned brake
Time that control data can include touching on the brake, the dynamics to touch on the brake, time etc. of releasing of brake, above-mentioned Throttle Opening Control information
The time that can include stepping on the gas, the dynamics stepped on the gas, the time etc. for unclamping throttle, above-mentioned gear control information can include
Gear change time, transforming gear information etc..
Step 203, video information and vehicle control information are imported to the driving Rating Model pre-established, obtain driver
Score in preset time period the ride quality of vehicle.
In the present embodiment, above-mentioned electronic equipment can import above-mentioned video information and above-mentioned vehicle control information advance
In the driving Rating Model of foundation, obtain above-mentioned driver and the ride quality of above-mentioned vehicle is commented in above-mentioned preset time period
Point, herein, ride quality scoring can be used to indicate that driver in preset time period to the ride quality of vehicle.It is above-mentioned to drive
Rating Model is sailed to can be used for characterizing the correspondence between video information and vehicle control information and ride quality scoring.As
Example, above-mentioned driving Rating Model can be that technical staff is based on to substantial amounts of video information and vehicle control information with driving matter
Measure scoring statistics and pre-establish, be stored with multiple video informations and vehicle control information score with ride quality it is corresponding
The mapping table of relation.
In some optional implementations of the present embodiment, above-mentioned driving Rating Model can include convolutional Neural net
Network, Recognition with Recurrent Neural Network and full articulamentum, wherein, the output of above-mentioned convolutional neural networks is the defeated of above-mentioned Recognition with Recurrent Neural Network
Enter, the output of above-mentioned Recognition with Recurrent Neural Network is the input of above-mentioned full articulamentum.As an example, it is possible, firstly, to it will be installed on above-mentioned
Driver is for above-mentioned car in video information and above-mentioned preset time period in the preset time period of camera collection on vehicle
Vehicle control information as input information, inputting to above-mentioned convolutional neural networks, above-mentioned convolutional neural networks to export
The characteristic information of each two field picture in above-mentioned video information and the characteristic information of above-mentioned vehicle control information.Afterwards, can will be upper
State the characteristic information of each two field picture in the above-mentioned video information of convolutional neural networks output and the spy of above-mentioned vehicle control information
Reference breath is inputted to above-mentioned Recognition with Recurrent Neural Network, output includes the characteristic information of temporal aspect, at this as input information
In, Recognition with Recurrent Neural Network is a kind of artificial neural network of node orientation connection cyclization.The substantive characteristics of this network is to locate
The feedback link of existing inside has feedforward to connect again between reason unit, its internal state can show dynamic time sequence behavior.Then,
Input using the characteristic information comprising temporal aspect that above-mentioned Recognition with Recurrent Neural Network exports as above-mentioned full articulamentum, meanwhile,
, can also be non-linear sharp plus one after carrying out linear transformation to the characteristic information for including temporal aspect using full articulamentum
Encourage function pair result to be changed, so as to introduce non-linear factor, the ability to express of Rating Model is driven with enhancing.Wherein, swash
It can be softmax functions to encourage function, and softmax functions are a kind of excitation functions common in artificial neural network, herein not
It is described in detail again.
In some optional implementations, the above-mentioned information generating method for vehicle can also include training above-mentioned drive
The step of sailing Rating Model.Above-mentioned electronic equipment or other electronic equipments for being used to train above-mentioned driving Rating Model, first
Can be using Sample video information and sample vehicle control information as input sample, by (such as manually setting set in advance
) and above-mentioned Sample video information and the corresponding ride quality scoring conduct output sample of above-mentioned sample vehicle control information,
Wherein, above-mentioned Sample video information and above-mentioned sample vehicle control information are the collection of same period, same sample vehicle
Information.It is then possible to obtain above-mentioned driving Rating Model using above-mentioned input sample and above-mentioned output sample training.
Step 204, show that driver scores the ride quality of vehicle in preset time period.
In the present embodiment, above-mentioned electronic equipment can show above-mentioned driver in above-mentioned preset time period to above-mentioned car
Ride quality scoring.
In some optional implementations of the present embodiment, above-mentioned electronic equipment can also use above-mentioned driver extremely
Curve map is drawn in ride quality scoring in a few preset time period to above-mentioned vehicle, wherein, the abscissa of above-mentioned curve map
For the time, the ordinate of above-mentioned curve map scores for ride quality.
With continued reference to Fig. 3, Fig. 3 is one according to the application scenarios of the information generating method for vehicle of the present embodiment
Schematic diagram.In the application scenarios of Fig. 3, vehicle intelligent brain can receive the default of the camera collection installed in front part of vehicle
Road surface video information in period.Afterwards, vehicle intelligent brain can obtain in above-mentioned preset time period driver for upper
State the vehicle control information of vehicle.Then, vehicle intelligent brain can also be by above-mentioned road surface video information and above-mentioned wagon control
Information, which imports, drives Rating Model, and it is 5 to obtain ride quality scoring of the above-mentioned driver to vehicle in above-mentioned preset time period.
Finally, vehicle intelligent brain can show ride quality scoring 5 of the above-mentioned driver to vehicle in above-mentioned preset time period, just
Meeting as shown in figure 3, show in the form of block diagram that driver scores the ride quality of vehicle in preset time period in Fig. 3, its
In, abscissa is the time, and ordinate scores for ride quality, and " time started " in Fig. 3 refers to the beginning of above-mentioned preset time period
Time, " end time " in Fig. 3 refer to the end time of above-mentioned preset time period.It should be noted that the ride quality in Fig. 3
Scoring display format is merely exemplary, rather than the restriction to ride quality scoring display format, in actual use, Ke Yigen
Other display formats are selected according to being actually needed, for example, directly displaying the form of numeral.
The method that above-described embodiment of the application provides obtains driving for driver by video information and vehicle control information
Quality score is sailed, the driving condition of driver can more accurately be judged by the ride quality scoring of driver, so that really
Determine whether driver is in fatigue driving state.
With further reference to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides a kind of for vehicle
One embodiment of information generation device, the device embodiment is corresponding with the embodiment of the method shown in Fig. 2, which specifically may be used
With applied in various electronic equipments.
As shown in figure 4, the information generation device 400 for vehicle of the present embodiment includes：Receiving unit 401, obtain list
Member 402, import unit 403 and display unit 404.Receiving unit 401 is used to receive the video acquisition being installed on above-mentioned vehicle
Video information in the preset time period of equipment collection；Acquiring unit 402 is used to obtain driver couple in above-mentioned preset time period
In the vehicle control information of above-mentioned vehicle；Import unit 403 is used to import above-mentioned video information and above-mentioned vehicle control information
The driving Rating Model pre-established, obtains above-mentioned driver and the ride quality of above-mentioned vehicle is commented in above-mentioned preset time period
Point, wherein, above-mentioned driving Rating Model is used to characterize pair between video information and vehicle control information and ride quality scoring
It should be related to；Display unit 404 is used to show that above-mentioned driver comments the ride quality of above-mentioned vehicle in above-mentioned preset time period
Point.
In the present embodiment, for the receiving unit 401 of information generation device 400 of vehicle, acquiring unit 402, import
Unit 403 and the specific processing of display unit 404 and its caused technique effect can be corresponded in embodiment with reference to figure 2 respectively to be walked
Rapid 201, the related description of step 202, step 203 and step 204, details are not described herein.
In some optional implementations of the present embodiment, above device 400 can also include：Drawing unit is (in figure
It is not shown), for being drawn using ride quality scoring of the above-mentioned driver to above-mentioned vehicle at least one preset time period
Curve map, wherein, the abscissa of above-mentioned curve map is the time, and the ordinate of above-mentioned curve map scores for ride quality.
In some optional implementations of the present embodiment, above-mentioned driving Rating Model can include convolutional Neural net
Network, Recognition with Recurrent Neural Network and full articulamentum, wherein, the output of above-mentioned convolutional neural networks is the defeated of above-mentioned Recognition with Recurrent Neural Network
Enter, the output of above-mentioned Recognition with Recurrent Neural Network is the input of above-mentioned full articulamentum.
In some optional implementations of the present embodiment, above device 400 can also include training unit (in figure not
Show), above-mentioned training unit is used for：Using Sample video information and sample vehicle control information as input sample, will set in advance
Fixed and above-mentioned Sample video information and the corresponding ride quality scoring of above-mentioned sample vehicle control information are as output sample
This, wherein, above-mentioned Sample video information and above-mentioned sample vehicle control information are the collection of same period, same sample vehicle
Information；Above-mentioned driving Rating Model is obtained using above-mentioned input sample and above-mentioned output sample training.
In some optional implementations of the present embodiment, above-mentioned vehicle control information can include following at least one
：Steering wheel operation data, brake control data, Throttle Opening Control data, gear control data.
Below with reference to Fig. 5, it illustrates suitable for for realizing the department of computer science of the vehicle intelligent brain of the embodiment of the present application
The structure diagram of system 500.Vehicle intelligent brain shown in Fig. 5 is only an example, should not be to the work(of the embodiment of the present application
Any restrictions can be brought with use scope.
As shown in figure 5, computer system 500 includes central processing unit (CPU, Central Processing Unit)
501, its can according to the program being stored in read-only storage (ROM, Read Only Memory) 502 or from storage part
508 programs being loaded into random access storage device (RAM, Random Access Memory) 503 and perform it is various appropriate
Action and processing.In RAM 503, also it is stored with system 500 and operates required various programs and data.CPU 501、ROM
502 and RAM 503 is connected with each other by bus 504.Input/output (I/O, Input/Output) interface 505 is also connected to
Bus 504.
I/O interfaces 505 are connected to lower component：Importation 506 including keyboard, mouse etc.；Penetrated including such as cathode
Spool (CRT, Cathode Ray Tube), liquid crystal display (LCD, Liquid Crystal Display) etc. and loudspeaker
Deng output par, c 507；Storage part 508 including hard disk etc.；And including such as LAN (LAN, Local Area
Network) the communications portion 509 of the network interface card of card, modem etc..Communications portion 509 is via such as internet
Network performs communication process.Driver 510 is also according to needing to be connected to I/O interfaces 505.Detachable media 511, such as disk,
CD, magneto-optic disk, semiconductor memory etc., are installed on driver 510, in order to the calculating read from it as needed
Machine program is mounted into storage part 508 as needed.
Especially, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product, it includes being carried on computer-readable medium
On computer program, the computer program include be used for execution flow chart shown in method program code.In such reality
Apply in example, which can be downloaded and installed by communications portion 509 from network, and/or from detachable media
511 are mounted.When the computer program is performed by central processing unit (CPU) 501, perform what is limited in the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer-readable recording medium either the two any combination.Computer-readable recording medium for example can be --- but
Be not limited to --- electricity, magnetic, optical, electromagnetic, system, device or the device of infrared ray or semiconductor, or it is any more than combination.
The more specifically example of computer-readable recording medium can include but is not limited to：Electrical connection with one or more conducting wires,
Portable computer diskette, hard disk, random access storage device (RAM), read-only storage (ROM), erasable type may be programmed read-only deposit
Reservoir (EPROM or flash memory), optical fiber, portable compact disc read-only storage (CD-ROM), light storage device, magnetic memory
Part or above-mentioned any appropriate combination.In this application, computer-readable recording medium can any be included or store
The tangible medium of program, the program can be commanded the either device use or in connection of execution system, device.And
In the application, computer-readable signal media can include believing in a base band or as the data that a carrier wave part is propagated
Number, wherein carrying computer-readable program code.The data-signal of this propagation can take various forms, including but not
It is limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer
Any computer-readable medium beyond readable storage medium storing program for executing, the computer-readable medium can send, propagate or transmit use
In by instruction execution system, device either device use or program in connection.Included on computer-readable medium
Program code any appropriate medium can be used to transmit, include but not limited to：Wirelessly, electric wire, optical cable, RF etc., Huo Zheshang
Any appropriate combination stated.
Flow chart and block diagram in attached drawing, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation
The part of one module of table, program segment or code, the part of the module, program segment or code include one or more use
In the executable instruction of logic function as defined in realization.It should also be noted that marked at some as in the realization replaced in square frame
The function of note can also be with different from the order marked in attached drawing generation.For example, two square frames succeedingly represented are actually
It can perform substantially in parallel, they can also be performed in the opposite order sometimes, this is depending on involved function.Also to note
Meaning, the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be set within a processor, for example, can be described as：A kind of processor bag
Include receiving unit, acquiring unit, import unit and display unit.Wherein, the title of these units not structure under certain conditions
The paired restriction of the unit in itself, for example, receiving unit is also described as " receiving the video acquisition being installed on vehicle to set
The unit of video information in the preset time period of standby collection ".
As on the other hand, present invention also provides a kind of computer-readable medium, which can be
Included in device described in above-described embodiment；Can also be individualism, and without be incorporated the device in.Above-mentioned calculating
Machine computer-readable recording medium carries one or more program, when said one or multiple programs are performed by the device so that should
Device：Receive the video information in the preset time period for the video capture device collection being installed on above-mentioned vehicle；Obtain above-mentioned
Vehicle control information of the driver for above-mentioned vehicle in preset time period；By above-mentioned video information and above-mentioned vehicle control information
The driving Rating Model pre-established is imported, obtains driving matter of the above-mentioned driver to above-mentioned vehicle in above-mentioned preset time period
Amount scoring, wherein, above-mentioned driving Rating Model is used to characterize between video information and vehicle control information and ride quality scoring
Correspondence；Show that above-mentioned driver scores the ride quality of above-mentioned vehicle in above-mentioned preset time period.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms
Scheme, while should also cover in the case where not departing from foregoing invention design, carried out by above-mentioned technical characteristic or its equivalent feature
The other technical solutions for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical solution that the technical characteristic of energy is replaced mutually and formed.
Claims (12)
1. a kind of information generating method for vehicle, including：
Receive the video information in the preset time period for the video capture device collection being installed on the vehicle；
Driver is obtained in the preset time period for the vehicle control information of the vehicle；
The video information and the vehicle control information are imported to the driving Rating Model pre-established, obtain the driver
Score in the preset time period the ride quality of the vehicle, wherein, the driving Rating Model is used to characterize video
Correspondence between information and vehicle control information and ride quality scoring；
Show that the driver scores the ride quality of the vehicle in the preset time period.
2. according to the method described in claim 1, wherein, the method further includes：
Curve map is drawn using ride quality scoring of the driver to the vehicle at least one preset time period, its
In, the abscissa of the curve map is the time, and the ordinate of the curve map scores for ride quality.
3. according to the method described in claim 1, wherein, the driving Rating Model includes convolutional neural networks, circulation nerve
Network and full articulamentum, wherein, the output of the convolutional neural networks is the input of the Recognition with Recurrent Neural Network, the circulation god
Output through network is the input of the full articulamentum.
4. according to the method described in claim 3, wherein, the step of the method further includes the training driving Rating Model,
Including：
Using Sample video information and sample vehicle control information as input sample, by the set in advance and Sample video
Information and the corresponding ride quality scoring of the sample vehicle control information are used as output sample, wherein, the Sample video
The information of sample vehicle that information and the sample vehicle control information gather for the same period, same；
The driving Rating Model is obtained using the input sample and the output sample training.
5. according to the method described in claim 1, wherein, the vehicle control information includes at least one of following：
Steering wheel operation data, brake control data, Throttle Opening Control data, gear control data.
6. a kind of information generation device for vehicle, including：
Receiving unit, the video in preset time period for receiving the video capture device being installed on vehicle collection are believed
Breath；
Acquiring unit, for obtaining in the preset time period driver for the vehicle control information of the vehicle；
Import unit, for the video information and the vehicle control information to be imported the driving Rating Model pre-established,
The driver is obtained to score to the ride quality of the vehicle in the preset time period, wherein, it is described to drive scoring mould
Type is used to characterize the correspondence between video information and vehicle control information and ride quality scoring；
Display unit, scores the ride quality of the vehicle in the preset time period for showing the driver.
7. device according to claim 6, wherein, described device further includes：
Drawing unit, for being scored using the driver at least one preset time period the ride quality of the vehicle
Curve map is drawn, wherein, the abscissa of the curve map is the time, and the ordinate of the curve map scores for ride quality.
8. device according to claim 6, wherein, the driving Rating Model includes convolutional neural networks, circulation nerve
Network and full articulamentum, wherein, the output of the convolutional neural networks is the input of the Recognition with Recurrent Neural Network, the circulation god
Output through network is the input of the full articulamentum.
9. device according to claim 8, wherein, described device further includes training unit, and the training unit is used for：
Using Sample video information and sample vehicle control information as input sample, by the set in advance and Sample video
Information and the corresponding ride quality scoring of the sample vehicle control information are used as output sample, wherein, the Sample video
The information of sample vehicle that information and the sample vehicle control information gather for the same period, same；
The driving Rating Model is obtained using the input sample and the output sample training.
10. device according to claim 6, wherein, the vehicle control information includes at least one of following：
Steering wheel operation data, brake control data, Throttle Opening Control data, gear control data.
11. a kind of terminal, including：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are performed by one or more of processors so that one or more of processors
Realize the method as described in any in claim 1-5.
12. a kind of computer-readable recording medium, is stored thereon with computer program, wherein, the computer program is by processor
The method as described in any in claim 1-5 is realized during execution.
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