CN108128264A - A kind of driver identity recognition methods and device - Google Patents

A kind of driver identity recognition methods and device Download PDF

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Publication number
CN108128264A
CN108128264A CN201611079253.8A CN201611079253A CN108128264A CN 108128264 A CN108128264 A CN 108128264A CN 201611079253 A CN201611079253 A CN 201611079253A CN 108128264 A CN108128264 A CN 108128264A
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CN
China
Prior art keywords
actual measurement
curve
driver
goodness
path status
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CN201611079253.8A
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Chinese (zh)
Inventor
马少飞
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中国移动通信有限公司研究院
中国移动通信集团公司
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Priority to CN201611079253.8A priority Critical patent/CN108128264A/en
Publication of CN108128264A publication Critical patent/CN108128264A/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric 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
    • B60R16/02Electric 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

Abstract

The embodiment of the present invention provides a kind of driver identity recognition methods and device, wherein method include:Obtain the path state information and running condition information in vehicle travel process;According to the path state information and running condition information, corresponding actual measurement traveling curve under each path status is generated respectively, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;According to actual measurement traveling curve corresponding under each path status, the identity of driver is identified.The solution of the present invention can safer, quick obtaining driver identity information.

Description

A kind of driver identity recognition methods and device

Technical field

The present invention relates to information of vehicles processing technology fields, particularly relate to a kind of driver identity recognition methods and device.

Background technology

In the prior art, it realizes driver identity identification, usually there is following two kinds of technical solutions:

(third party device can be Jie such as key chain, subscriber card to memory of driving person's identity information in third party device Matter), under setting condition (such as door opening starts vehicle, passes through some specific position), read by wired or wireless mode The driver identity information stored in third party device is taken, is compared with the data on local or backstage, is realized to driver's body The identification of part.

By the human bodies biological property such as fingerprint, face, sound, iris, driver identity is identified.It drives Member is by contact or the biological information specified of contactless biometric devices input, with local or backstage Data are compared, and realize the identification to driver identity.

Prior art has the disadvantage that:

There are risks for information security.Whether through the mode for prestoring driver identity information, still pass through human body The risk that biological property, all existence information are forged.

Biological characteristic is actively entered by driver to be identified, such as input fingerprint, scanning retina, this mode are known Rate is not high, but device software and hardware is complicated, and needs to change the driving habit of driver.

It is identified, such as recognition of face by passively scratching driver's biological characteristic, this identification method is to driver Driving habit does not influence, but discrimination is affected by the external environment larger, such as takes high-precision harvester, then can lead again Harvester cost and volume is caused significantly to rise.

Invention content

The present invention provides a kind of driver identity recognition methods and devices.It is driven under special scenes by acquiring driver The vehicle operation data sailed, generation drives operation curve, and the vehicle traveling curve of acquisition and the driver to prestore are driven vehicle Sample traveling curve be compared, and then obtain the identity information of driver, so as to safer, quick obtaining driver Identity information.

In order to solve the above technical problems, the embodiment of the present invention provides following scheme:

A kind of driver identity recognition methods, including:

Obtain the path state information and running condition information in vehicle travel process;

According to the path state information and running condition information, corresponding actual measurement under each path status is generated respectively Curve is travelled, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;

According to actual measurement traveling curve corresponding under each path status, the identity of driver is identified.

Wherein, the step of obtaining the path state information in vehicle travel process includes:

Obtain the location information in vehicle travel process;

According to the location information, the path state information in vehicle travel process is determined.

Wherein, the path state information includes:Straight trip, left right-angled bend and/or right right-angled bend information.

Wherein, the step of obtaining the running condition information in vehicle travel process includes:

By the gravity sensor and/or acceierometer sensor of vehicle, the transport condition in vehicle travel process is obtained Information.

Wherein, the running condition information includes:Acceleration, deceleration, left-hand bend and/or right-hand bend information.

Wherein, according to actual measurement traveling curve corresponding under each path status, the step of identity for identifying driver, wraps It includes:

By actual measurement traveling curve corresponding under each path status, intended with pre-stored sample traveling curve It closes, obtains the goodness of fit of the corresponding actual measurement traveling curve of each path status and sample traveling curve;

According to the corresponding actual measurement traveling curve of each path status and the goodness of fit of sample traveling curve, obtain each The goodness of fit evaluation of estimate of kind path status;

According to the goodness of fit evaluation of estimate of each path status, the identity of driver is identified.

Wherein, by under each path status it is corresponding actual measurement traveling curve, with pre-stored sample travel curve into Row fitting obtains the step of each path status corresponding actual measurement traveling curve and sample travel the goodness of fit of curve and wraps It includes:

Pass through formula:

Q=∑s (v-v*)2And

It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;

Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R is represented real respectively from 0~1 It surveys traveling curve and travels the fitting degree of curve from bottom to height with pre-stored sample.

Wherein, it according to the corresponding actual measurement traveling curve of each path status and the goodness of fit of sample traveling curve, obtains To each path status the goodness of fit evaluation of estimate the step of include:

According to formula:And φ=∑ φiObtain the goodness of fit of each path status Evaluation of estimate;

Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is each path status The summation of goodness of fit evaluation of estimate.

Wherein, according to the goodness of fit evaluation of estimate of each path status, the step of identity for identifying driver, includes:

If φ is in a preset threshold range, it is determined that the identity of driver is matched with pre-stored driver identity.

The embodiment of the present invention also provides a kind of driver identity identification device, including:

Acquisition module, for obtaining the path state information and running condition information in vehicle travel process;

Identification module, for according to the path state information and running condition information, generating each path shape respectively Corresponding actual measurement traveling curve under state, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;According to every Corresponding actual measurement traveling curve under a kind of path status identifies the identity of driver.

Wherein, the acquisition module is specifically used for:Obtain the location information in vehicle travel process;Believed according to the positioning Breath, determines the path state information in vehicle travel process.

Wherein, the acquisition module is specifically used for:By the gravity sensor and/or acceierometer sensor of vehicle, obtain Take the running condition information in vehicle travel process.

Wherein, the identification module includes:

First acquisition unit, for actual measurement corresponding under each path status to be travelled curve, with pre-stored sample This traveling curve is fitted, and obtains the corresponding actual measurement traveling curve of each path status and the fitting of sample traveling curve is excellent Degree;

Second acquisition unit, for according to the corresponding actual measurement traveling curve of each path status and sample traveling curve The goodness of fit obtains the goodness of fit evaluation of estimate of each path status;

Recognition unit for the goodness of fit evaluation of estimate according to each path status, identifies the identity of driver.

Wherein, the first acquisition unit is specifically used for:Pass through formula:

Q=∑s (v-v*)2And

It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;

Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R is represented real respectively from 0~1 It surveys traveling curve and travels the fitting degree of curve from bottom to height with pre-stored sample.

Wherein, the second acquisition unit is specifically used for:

According to formula:And φ=∑ φiObtain the goodness of fit of each path status Evaluation of estimate;

Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is each path status The summation of goodness of fit evaluation of estimate.

Wherein, the recognition unit is specifically used for:

If φ is in a preset threshold range, it is determined that the identity of driver is matched with pre-stored driver identity.

The said program of the present invention includes at least following advantageous effect:

The said program of the present invention, by obtaining path state information and running condition information in vehicle travel process; According to the path state information and running condition information, the identity of driver is identified.It is driven so as to fulfill more quick obtaining The purpose of member's identity information.

Description of the drawings

Fig. 1 is the flow chart of the driver identity recognition methods of the present invention;

Fig. 2 is a particular flow sheet of the driver identity recognition methods of the present invention;

Fig. 3 A- Fig. 3 F are traveling curve synoptic diagram;

Fig. 4 is the module frame chart of the driver identity identification device of the present invention.

Specific embodiment

The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure Completely it is communicated to those skilled in the art.

The driver identity recognition methods that the embodiment of the present invention proposes a kind of low cost, easily realizes, identification device are adopted The vehicle operation data that collection driver drives under special scenes, generation drives operation curve, and the vehicle of acquisition is run song The characteristic operating curve that line drives vehicle with the driver to prestore is compared, and then obtains the identity information of driver.

As shown in Figure 1, the embodiment of the present invention provides a kind of driver identity recognition methods, including:

Step 11, the path state information and running condition information in vehicle travel process are obtained;

Specifically, by the GPS positioning device of vehicle, the location information in vehicle travel process is obtained;And according to described Location information determines the path state information in vehicle travel process;Wherein, the path state information includes:Straight trip, Zuo Zhi Angle turning and/or right right-angled bend information etc..

By the gravity sensor and/or acceierometer sensor of vehicle, the transport condition in vehicle travel process is obtained Information;Wherein, the running condition information includes:Acceleration, deceleration, left-hand bend and/or right-hand bend information;

Step 12, according to the path state information and running condition information, it is right under each path status to generate respectively The actual measurement traveling curve answered, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;

Step 13, according to actual measurement traveling curve corresponding under each path status, the identity of driver is identified.

The embodiment of the present invention is by obtaining path state information and running condition information in vehicle travel process;Root According to the path state information and running condition information, the identity of driver is identified.So as to fulfill more quick obtaining driver The purpose of identity information.

In the above embodiment of the present invention, step 13 can specifically include:

Step 131, by actual measurement traveling curve corresponding under each path status, curve is travelled with pre-stored sample It is fitted, obtains the goodness of fit of the corresponding actual measurement traveling curve of each path status and sample traveling curve;

Specifically, formula can be passed through:

Q=∑s (v-v*)2And

It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;

Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R is represented real respectively from 0~1 It surveys traveling curve and travels the fitting degree of curve from bottom to height with pre-stored sample.

Step 132, the goodness of fit of curve is travelled with sample according to the corresponding actual measurement traveling curve of each path status, Obtain the goodness of fit evaluation of estimate of each path status;

It specifically, can be according to formula:And φ=∑ φiObtain each path shape The goodness of fit evaluation of estimate of state;

Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is each path status The summation of goodness of fit evaluation of estimate.

Step 133, according to the goodness of fit evaluation of estimate of each path status, the identity of driver is identified.

Specifically, if φ is in a preset threshold range, it is determined that the identity of driver and pre-stored driver's body Part matching, as φ is equal to a preset value, it is determined that the identity of driver is matched with pre-stored driver identity.

As shown in Fig. 2, combine the idiographic flow that specific implementation scene illustrates above-described embodiment:

Step 1:Initialization operation initializes system each unit, brings into operation.

Step 2:By the location information of acquisition, the path state information of current driving is exported in real time, including straight trip, Zuo Zhi Angle turning, right right-angled bend etc..

Step 3:Current vehicle running state is acquired by G-Sensor (gravity sensor) or acceierometer sensor Information, effective transport condition include:Accelerate, slow down, turning left, turning right etc..

Step 4:Meet when simultaneously:A. effective path state information (straight trip, left right-angled bend, right right-angled bend);b. Effective running condition information (accelerate, slow down, turning left, turning right), carries out path state information and running condition information Processing.

Step 5:According to effective path state information and running condition information, corresponding scene (path status) is generated respectively Correspondence transport condition under, the curve matching of speed and time, obtain actual measurement traveling curve, as shown in Fig. 3 A- Fig. 3 F.

Step 6:The degree of fitting of sample traveling curve for calculating actual measurement traveling curve respectively and prestoring, calculating process are as follows:

A. input is calculated using transport condition duration t from the corresponding velocity amplitudes of 1~10s as degree of fitting;

B. v is set as measured value, v*For pre-stored values, the residual sum of squares (RSS) of actual measurement speed and sample speed, calculation formula are calculated It is as follows;

Q=∑s (v-v*)2

C. then actual measurement traveling curve and the goodness of fit of sample traveling curve that prestores is R under same scene, calculation formula It is as follows:

D. goodness of fit R is from 0~1, represent actual measurement traveling curve respectively and the sample to prestore travel curve matching degree from Bottom to height;

E. the goodness of fit evaluation of estimate of six traveling curves is set as φ16, value rule it is as follows:

φ=∑ φi

F. φ=6, then it is assumed that driver identity to be identified coincide with the driver identity that prestores.

Certainly, flow shown in the Fig. 2, only the embodiment of the present invention a Scene realization process, other applied fields Scape can be realized by above method embodiment, can also realize identical technique effect.

The above embodiment of the present invention can be solved to be used as identification label by third party's media storage driver information or be led to Safety problem of the physical characteristics collecting device acquisition driver's biological characteristic as basis of characterization is crossed, user is avoided and usurps driving The problem of member's identity information;Can solve the interference problem using external environment, the solution of the present invention is not illuminated by the light, weather, the time Etc. external factor interference, ensure that obtain driver's operating and controlling vehicle running data information authenticity and reliability;It can solve The problem of information collecting device is complicated;And it can quickly identify driver identity.

As shown in figure 4, the embodiment of the present invention also provides a kind of driver identity identification device 40, including:

Acquisition module 41, for obtaining the path state information and running condition information in vehicle travel process;

Identification module 42, for according to the path state information and running condition information, generating each path respectively Corresponding actual measurement traveling curve under state, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;According to Corresponding actual measurement traveling curve under each path status identifies the identity of driver.

Wherein, the acquisition module 41 is specifically used for:Vehicle is obtained by the unit cell (such as GPS module) of vehicle to travel Location information in the process;According to the location information, the path state information in vehicle travel process is determined.

The acquisition module 41 is specifically used for:By the gravity sensor and/or acceierometer sensor of vehicle, vehicle is obtained Running condition information in driving process.

Wherein, the identification module 42 includes:

First acquisition unit, for actual measurement corresponding under each path status to be travelled curve, with pre-stored sample This traveling curve is fitted, and obtains the corresponding actual measurement traveling curve of each path status and the fitting of sample traveling curve is excellent Degree;

Second acquisition unit, for according to the corresponding actual measurement traveling curve of each path status and sample traveling curve The goodness of fit obtains the goodness of fit evaluation of estimate of each path status;

Recognition unit for the goodness of fit evaluation of estimate according to each path status, identifies the identity of driver.

Wherein, the first acquisition unit is specifically used for:Pass through formula:

Q=∑s (v-v*)2And

It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;

Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R is represented real respectively from 0~1 It surveys traveling curve and travels the fitting degree of curve from bottom to height with pre-stored sample.

Wherein, the second acquisition unit is specifically used for:

According to formula:And φ=∑ φiObtain the goodness of fit of each path status Evaluation of estimate;

Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is each path status The summation of goodness of fit evaluation of estimate.

Wherein, the recognition unit is specifically used for:

If φ is in a preset threshold range, it is determined that the identity of driver is matched with pre-stored driver identity.

The device embodiment of the present invention, corresponding with the above method, all realization methods are suitable in above method embodiment For in the embodiment of the device, can also reach identical technique effect.

In the above embodiment of the present invention, the driving scene (path status) used includes:Straight trip, left right angle turn Three kinds of effective scenes such as curved, right right-angled bend and transport condition include:Accelerate, slow down, turning left, turning right etc..Traveling is bent Line refers both to the traveling curve obtained in above-mentioned scene by specific transport condition.

In the above embodiment of the present invention, the running data of vehicle, including:Acceleration value and deviation value.Identity compares behaviour The driving information that the user that acquires and store in advance drives vehicle is needed, can offline be compared with local data base To, can also be compared online with the database of background server.

Using the actual measurement traveling curve of acquisition as the input of recognition unit, based on traveling curve with being stored in pre-stored data library Driver identity data be compared, and then so as to safer, quick determining driver identity information.

The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications It should be regarded as protection scope of the present invention.

Claims (16)

1. a kind of driver identity recognition methods, which is characterized in that including:
Obtain the path state information and running condition information in vehicle travel process;
According to the path state information and running condition information, corresponding actual measurement traveling under each path status is generated respectively Curve, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;
According to actual measurement traveling curve corresponding under each path status, the identity of driver is identified.
2. driver identity recognition methods according to claim 1, which is characterized in that obtain the road in vehicle travel process The step of diameter status information, includes:
Obtain the location information in vehicle travel process;
According to the location information, the path state information in vehicle travel process is determined.
3. driver identity recognition methods according to claim 2, which is characterized in that the path state information includes: Straight trip, left right-angled bend and/or right right-angled bend information.
4. driver identity recognition methods according to claim 1, which is characterized in that obtain the row in vehicle travel process The step of sailing status information includes:
By the gravity sensor and/or acceierometer sensor of vehicle, the running condition information in vehicle travel process is obtained.
5. driver identity recognition methods according to claim 4, which is characterized in that the running condition information includes: Acceleration, deceleration, left-hand bend and/or right-hand bend information.
6. driver identity recognition methods according to claim 1, which is characterized in that according to right under each path status The step of actual measurement traveling curve answered, the identity for identifying driver, includes:
By actual measurement traveling curve corresponding under each path status, it is fitted, obtains with pre-stored sample traveling curve To the goodness of fit of the corresponding actual measurement traveling curve of each path status and sample traveling curve;
According to the corresponding actual measurement traveling curve of each path status and the goodness of fit of sample traveling curve, each road is obtained The goodness of fit evaluation of estimate of diameter state;
According to the goodness of fit evaluation of estimate of each path status, the identity of driver is identified.
7. driver identity recognition methods according to claim 6, which is characterized in that will be corresponding under each path status Actual measurement traveling curve, with pre-stored sample traveling curve be fitted, obtain the corresponding actual measurement of each path status The step of goodness of fit of traveling curve and sample traveling curve, includes:
Pass through formula:
Q=∑s (v-v*)2And
It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;
Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R represents actual measurement traveling respectively from 0~1 Curve travels the fitting degree of curve from bottom to height with pre-stored sample.
8. driver identity recognition methods according to claim 7, which is characterized in that corresponded to according to each path status Actual measurement traveling curve and sample traveling curve the goodness of fit, obtain the step of the goodness of fit evaluation of estimate of each path status Suddenly include:
According to formula:And φ=∑ φiObtain the goodness of fit evaluation of each path status Value;
Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is that the fitting of each path status is excellent Spend the summation of evaluation of estimate.
9. driver identity recognition methods according to claim 8, which is characterized in that according to the plan of each path status The step of conjunction optimal evaluation value, the identity for identifying driver, includes:
If φ is in a preset threshold range, it is determined that the identity of driver is matched with pre-stored driver identity.
10. a kind of driver identity identification device, which is characterized in that including:
Acquisition module, for obtaining the path state information and running condition information in vehicle travel process;
Identification module, for according to the path state information and running condition information, generating respectively under each path status Corresponding actual measurement traveling curve, the actual measurement traveling curve is actual measurement travel speed and the relation curve of time;According to each Corresponding actual measurement traveling curve under path status identifies the identity of driver.
11. driver identity identification device according to claim 10, which is characterized in that the acquisition module is specifically used In:Obtain the location information in vehicle travel process;According to the location information, the path status in vehicle travel process is determined Information.
12. driver identity identification device according to claim 10, which is characterized in that the acquisition module is specifically used In:By the gravity sensor and/or acceierometer sensor of vehicle, the running condition information in vehicle travel process is obtained.
13. driver identity identification device according to claim 10, which is characterized in that the identification module includes:
First acquisition unit, for actual measurement corresponding under each path status to be travelled curve, with pre-stored sample row It sails curve to be fitted, obtains the goodness of fit of the corresponding actual measurement traveling curve of each path status and sample traveling curve;
Second acquisition unit, for the fitting according to the corresponding actual measurement traveling curve of each path status and sample traveling curve Goodness obtains the goodness of fit evaluation of estimate of each path status;
Recognition unit for the goodness of fit evaluation of estimate according to each path status, identifies the identity of driver.
14. driver identity identification device according to claim 13, which is characterized in that the first acquisition unit is specific For:Pass through formula:
Q=∑s (v-v*)2And
It obtains under respective path state, the goodness of fit of actual measurement traveling curve and pre-stored sample traveling curve;
Wherein, v is surveys travel speed value, v*For the velocity amplitude that prestores, R is the goodness of fit, and R represents actual measurement traveling respectively from 0~1 Curve travels the fitting degree of curve from bottom to height with pre-stored sample.
15. driver identity identification device according to claim 14, which is characterized in that the second acquisition unit is specific For:
According to formula:And φ=∑ φiObtain the goodness of fit evaluation of each path status Value;
Wherein, φiFor goodness of fit evaluation of estimate, i is the integer more than or equal to 1, and φ is that the fitting of each path status is excellent Spend the summation of evaluation of estimate.
16. driver identity identification device according to claim 15, which is characterized in that the recognition unit is specifically used In:
If φ is in a preset threshold range, it is determined that the identity of driver is matched with pre-stored driver identity.
CN201611079253.8A 2016-11-30 2016-11-30 A kind of driver identity recognition methods and device CN108128264A (en)

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CN101633359A (en) * 2008-07-24 2010-01-27 通用汽车环球科技运作公司 Adaptive vehicle control system with driving style recognition
CN104765598A (en) * 2014-01-06 2015-07-08 哈曼国际工业有限公司 Automatic driver identification
CN106128099A (en) * 2016-07-01 2016-11-16 斑马信息科技有限公司 Driver's recognition methods and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003306091A (en) * 2002-04-15 2003-10-28 Nissan Motor Co Ltd Driver determining device
CN101228546A (en) * 2005-06-01 2008-07-23 茵诺苏伦斯公司 Motor vehicle traveling data collection and analysis
JP2007083972A (en) * 2005-09-26 2007-04-05 Denso Corp Driver discriminating device and driver discriminating method
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