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CN108128264B - Driver identity recognition method and device - Google Patents

Driver identity recognition method and device Download PDF

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Publication number
CN108128264B
CN108128264B CN201611079253.8A CN201611079253A CN108128264B CN 108128264 B CN108128264 B CN 108128264B CN 201611079253 A CN201611079253 A CN 201611079253A CN 108128264 B CN108128264 B CN 108128264B
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driving
path state
goodness
fit
driver
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CN108128264A (en
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马少飞
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China Mobile Communications Group Co Ltd
Research Institute of China Mobile Communication Co Ltd
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Research Institute of China Mobile Communication Co Ltd
China Mobile Communications Corp
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    • 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
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Abstract

本发明的实施例提供一种驾驶员身份识别方法及装置，其中方法包括：获取车辆行驶过程中的路径状态信息和行驶状态信息；根据所述路径状态信息和行驶状态信息，分别生成每一种路径状态下对应的实测行驶曲线，所述实测行驶曲线为实测行驶速度与时间的关系曲线；根据每一种路径状态下对应的实测行驶曲线，识别驾驶员的身份。本发明的方案可以更加安全、快速获取驾驶员身份信息。

Figure 201611079253

Embodiments of the present invention provide a method and device for identifying a driver's identity, wherein the method includes: acquiring path state information and driving state information during vehicle driving; The measured driving curve corresponding to the path state, the measured driving curve is the relationship curve between the measured driving speed and the time; according to the corresponding measured driving curve in each path state, the identity of the driver is identified. The solution of the present invention can obtain the driver's identity information more safely and quickly.

Figure 201611079253

Description

Driver identity recognition method and device
Technical Field
The invention relates to the technical field of vehicle information processing, in particular to a driver identity identification method and device.
Background
In the prior art, the following two technical schemes are generally adopted to realize driver identity recognition:
the driver identity information (the third party device can be a key ring, a user card and other media) is stored in the third party device, and under the set conditions (such as opening a vehicle door, starting a vehicle, passing a certain specific position and the like), the driver identity information stored in the third party device is read in a wired or wireless mode and is compared with local or background data, so that the identity of the driver is identified.
The driver identity is identified by biometric features such as fingerprints, faces, voice, iris, etc. The driver inputs the appointed biological characteristic information through a contact type or non-contact type biological characteristic recognition device, and the biological characteristic information is compared with local or background data to realize the identification of the driver identity.
The prior art scheme has the following disadvantages:
there is a risk of information security. Whether by way of pre-storing driver identity information or by biometric features, there is a risk that the information is forged.
The driver actively inputs biological characteristics for identification, such as fingerprint input, retina scanning and the like, the identification rate is high, but the software and hardware of the device are complex, and the driving habit of the driver needs to be changed.
The biological characteristics of the driver are scratched passively to be recognized, such as face recognition and the like, the driving habit of the driver is not influenced by the recognition mode, but the recognition rate is greatly influenced by the external environment, and if a high-precision acquisition device is adopted, the cost and the volume of the acquisition device are obviously increased.
Disclosure of Invention
The invention provides a driver identity identification method and device. The driving operation curve is generated by collecting the vehicle operation data of the driver driving in a specific scene, and the collected vehicle driving curve is compared with the prestored sample driving curve of the driver driving the vehicle, so that the identity information of the driver is obtained, and the identity information of the driver is obtained more safely and quickly.
To solve the above technical problem, an embodiment of the present invention provides the following solutions:
a driver identification method, comprising:
acquiring path state information and driving state information in the driving process of a vehicle;
respectively generating an actual measurement driving curve corresponding to each path state according to the path state information and the driving state information, wherein the actual measurement driving curve is a relation curve of actual measurement driving speed and time;
and identifying the identity of the driver according to the corresponding actual measurement driving curve in each path state.
The method for acquiring the path state information in the vehicle driving process comprises the following steps:
acquiring positioning information in the running process of a vehicle;
and determining the path state information in the running process of the vehicle according to the positioning information.
Wherein the path state information includes: straight, left quarter turn and/or right quarter turn information.
The method for acquiring the driving state information in the driving process of the vehicle comprises the following steps:
and acquiring running state information of the vehicle in the running process through a gravity sensor and/or an accelerometer sensor of the vehicle.
Wherein the driving state information includes: acceleration, deceleration, left turn and/or right turn information.
The step of identifying the identity of the driver according to the corresponding actual measurement driving curve in each path state comprises the following steps:
fitting the corresponding actual measurement driving curve in each path state with a pre-stored sample driving curve to obtain the goodness of fit of the actual measurement driving curve corresponding to each path state and the sample driving curve;
obtaining a goodness-of-fit evaluation value of each path state according to the goodness-of-fit of the actually-measured driving curve corresponding to each path state and the sample driving curve;
and identifying the identity of the driver according to the goodness-of-fit evaluation value of each path state.
The step of fitting the actual measurement driving curve corresponding to each path state with a pre-stored sample driving curve to obtain the goodness of fit between the actual measurement driving curve corresponding to each path state and the sample driving curve comprises:
by the formula:
Q＝∑(v-v*)2and an
Figure BDA0001166609190000031
Obtaining the goodness of fit of the actually measured driving curve and a prestored sample driving curve under the state of the corresponding path;
where v is the measured driving speed value, v*The driving curve fitting method is characterized in that a speed value is pre-stored, R is a fitting goodness, and R ranges from 0 to 1, and the fitting degree of an actually measured driving curve and a pre-stored sample driving curve is from bottom to top.
The step of obtaining the goodness-of-fit evaluation value of each path state according to the goodness-of-fit of the actually-measured driving curve corresponding to each path state and the sample driving curve comprises the following steps:
according to the formula:
Figure BDA0001166609190000032
andφ＝∑φiobtaining a goodness-of-fit evaluation value of each path state;
wherein phi isiFor the goodness-of-fit evaluation value, i is an integer greater than or equal to 1, and φ is the sum of the goodness-of-fit evaluation values for each path state.
The step of identifying the identity of the driver according to the goodness-of-fit evaluation value of each path state comprises the following steps of:
if phi is within a preset threshold range, determining that the identity of the driver matches the pre-stored driver identity.
The embodiment of the present invention further provides a driver identification apparatus, including:
the acquisition module is used for acquiring path state information and driving state information in the driving process of the vehicle;
the identification module is used for respectively generating an actual measurement driving curve corresponding to each path state according to the path state information and the driving state information, wherein the actual measurement driving curve is a relation curve of actual measurement driving speed and time; and identifying the identity of the driver according to the corresponding actual measurement driving curve in each path state.
Wherein the obtaining module is specifically configured to: acquiring positioning information in the running process of a vehicle; and determining the path state information in the running process of the vehicle according to the positioning information.
Wherein the obtaining module is specifically configured to: and acquiring running state information of the vehicle in the running process through a gravity sensor and/or an accelerometer sensor of the vehicle.
Wherein the identification module comprises:
the first acquisition unit is used for fitting the actual measurement driving curve corresponding to each path state with a pre-stored sample driving curve to obtain the goodness of fit of the actual measurement driving curve corresponding to each path state and the sample driving curve;
the second acquisition unit is used for obtaining a goodness-of-fit evaluation value of each path state according to the goodness-of-fit of the actually-measured driving curve corresponding to each path state and the sample driving curve;
and the identification unit is used for identifying the identity of the driver according to the goodness-of-fit evaluation value of each path state.
The first obtaining unit is specifically configured to: by the formula:
Q＝∑(v-v*)2and an
Figure BDA0001166609190000041
Obtaining the goodness of fit of the actually measured driving curve and a prestored sample driving curve under the state of the corresponding path;
where v is the measured driving speed value, v*The driving curve fitting method is characterized in that a speed value is pre-stored, R is a fitting goodness, and R ranges from 0 to 1, and the fitting degree of an actually measured driving curve and a pre-stored sample driving curve is from bottom to top.
The second obtaining unit is specifically configured to:
according to the formula:
Figure BDA0001166609190000042
and phi is ═ Σ phiiObtaining a goodness-of-fit evaluation value of each path state;
wherein phi isiFor the goodness-of-fit evaluation value, i is an integer greater than or equal to 1, and φ is the sum of the goodness-of-fit evaluation values for each path state.
Wherein the identification unit is specifically configured to:
if phi is within a preset threshold range, determining that the identity of the driver matches the pre-stored driver identity.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, the path state information and the running state information in the running process of the vehicle are obtained; and identifying the identity of the driver according to the path state information and the driving state information. Therefore, the aim of acquiring the identity information of the driver more quickly is fulfilled.
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FIG. 1 is a flow chart of a driver identification method of the present invention;
FIG. 2 is a flowchart illustrating a driver identification method according to an embodiment of the present invention;
3A-3F are schematic views of travel curves;
fig. 4 is a block diagram of a driver identification apparatus according to the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a low-cost and easily-realized driver identity recognition method.A recognition device collects vehicle running data of a driver driving in a specific scene, generates a driving running curve, and compares the collected vehicle running curve with a pre-stored characteristic running curve of the driver driving the vehicle, thereby acquiring the identity information of the driver.
As shown in fig. 1, an embodiment of the present invention provides a driver identification method, including:
step 11, acquiring path state information and driving state information in the driving process of the vehicle;
specifically, positioning information in the running process of the vehicle is acquired through a GPS positioning device of the vehicle; determining the path state information in the running process of the vehicle according to the positioning information; wherein the path state information includes: straight, left quarter turn and/or right quarter turn information, etc.
Acquiring running state information in the running process of the vehicle through a gravity sensor and/or an accelerometer sensor of the vehicle; wherein the driving state information includes: acceleration, deceleration, left turn and/or right turn information;
step 12, respectively generating an actual measurement driving curve corresponding to each path state according to the path state information and the driving state information, wherein the actual measurement driving curve is a relation curve of actual measurement driving speed and time;
and step 13, identifying the identity of the driver according to the corresponding actual measurement driving curve in each path state.
The embodiment of the invention obtains the path state information and the running state information in the running process of the vehicle; and identifying the identity of the driver according to the path state information and the driving state information. Therefore, the aim of acquiring the identity information of the driver more quickly is fulfilled.
In the above embodiment of the present invention, step 13 may specifically include:
step 131, fitting the actually measured driving curve corresponding to each path state with a pre-stored sample driving curve to obtain the goodness of fit of the actually measured driving curve corresponding to each path state and the sample driving curve;
specifically, the following formula can be used:
Q＝∑(v-v*)2and an
Figure BDA0001166609190000061
Obtaining the goodness of fit of the actually measured driving curve and a prestored sample driving curve under the state of the corresponding path;
where v is the measured driving speed value, v*The driving curve fitting method is characterized in that a speed value is pre-stored, R is a fitting goodness, and R ranges from 0 to 1, and the fitting degree of an actually measured driving curve and a pre-stored sample driving curve is from bottom to top.
Step 132, obtaining a goodness-of-fit evaluation value of each path state according to the goodness-of-fit of the actually-measured driving curve corresponding to each path state and the sample driving curve;
specifically, the following formula can be used:
Figure BDA0001166609190000062
andφ＝∑φiobtaining a goodness-of-fit evaluation value of each path state;
wherein phi isiFor the goodness-of-fit evaluation value, i is an integer greater than or equal to 1, and φ is the sum of the goodness-of-fit evaluation values for each path state.
Step 133, identify the driver according to the goodness-of-fit evaluation value of each path state.
Specifically, if phi is within a preset threshold range, it is determined that the identity of the driver matches the pre-stored identity of the driver, and if phi is equal to a preset value, it is determined that the identity of the driver matches the pre-stored identity of the driver.
As shown in fig. 2, the specific flow of the above embodiment is described with reference to a specific implementation scenario:
step 1: and initializing, namely initializing each unit of the system and starting to operate.
Step 2: and outputting the current running path state information in real time through the acquired positioning information, wherein the current running path state information comprises straight running, left right-angle turning, right-angle turning and the like.
And step 3: the method comprises the following steps of collecting current vehicle running state information through a G-Sensor (gravity Sensor) or an accelerometer Sensor, wherein the effective running state comprises the following steps: acceleration, deceleration, left turn, right turn, etc.
And 4, step 4: when simultaneously satisfying: a. valid path state information (straight, left quarter turn, right quarter turn); b. the effective driving state information (acceleration, deceleration, left turn, right turn) is processed with the path state information and the driving state information.
And 5: based on the effective path state information and the driving state information, curve fitting of speed and time in the corresponding driving state of the corresponding scene (path state) is respectively generated, and an actually measured driving curve is obtained, as shown in fig. 3A to 3F.
Step 6: respectively calculating the fitting degree of the actually measured driving curve and a prestored sample driving curve, wherein the calculation process is as follows:
a. taking a speed value corresponding to the driving state duration time t from 1-10 s as fitting degree calculation input;
b. let v be the measured value, v*Calculating the sum of squares of residual errors of the actually measured speed and the sample speed for a pre-stored value, wherein the calculation formula is as follows;
Q＝∑(v-v*)2
c. the goodness of fit between the actually measured driving curve and the prestored sample driving curve under the same scene is R, and the calculation formula is as follows:
Figure BDA0001166609190000071
d. the goodness of fit R is from 0 to 1, and the goodness of fit R respectively represents that the fitting degree of the actually measured running curve and the prestored sample running curve is from bottom to high;
e. the goodness-of-fit evaluation value of the six-item driving curve is set as phi1～φ6The value rule is as follows:
Figure BDA0001166609190000072
φ＝∑φi
f. and if phi is 6, the identity of the driver to be identified is considered to be consistent with the identity of the prestored driver.
Of course, the flow shown in fig. 2 is only a scene implementation process of the embodiment of the present invention, and other application scenes can be implemented by the above method embodiment, and the same technical effect can also be achieved.
The embodiment of the invention can solve the safety problem that the driver information is stored as the identification label through a third-party medium or the biological characteristics of the driver are collected as the identification basis through the biological characteristic collecting device, thereby avoiding the problem that the user steals the identity information of the driver; the problem of interference caused by adopting an external environment can be solved, the scheme of the invention is not interfered by external factors such as illumination, climate, time and the like, and the authenticity and the reliability of the obtained driving data information of the vehicle controlled by the driver are ensured; the problem of complex information acquisition equipment can be solved; and the identity of the driver can be quickly identified.
As shown in fig. 4, an embodiment of the present invention further provides a driver identification apparatus 40, including:
an obtaining module 41, configured to obtain path state information and driving state information in a driving process of a vehicle;
the identification module 42 is configured to generate an actually measured driving curve corresponding to each path state according to the path state information and the driving state information, where the actually measured driving curve is a relation curve between an actually measured driving speed and time; and identifying the identity of the driver according to the corresponding actual measurement driving curve in each path state.
The obtaining module 41 is specifically configured to: acquiring positioning information in the running process of the vehicle through a unit (such as a GPS module) of the vehicle; and determining the path state information in the running process of the vehicle according to the positioning information.
The obtaining module 41 is specifically configured to: and acquiring running state information of the vehicle in the running process through a gravity sensor and/or an accelerometer sensor of the vehicle.
Wherein the identification module 42 comprises:
the first acquisition unit is used for fitting the actual measurement driving curve corresponding to each path state with a pre-stored sample driving curve to obtain the goodness of fit of the actual measurement driving curve corresponding to each path state and the sample driving curve;
the second acquisition unit is used for obtaining a goodness-of-fit evaluation value of each path state according to the goodness-of-fit of the actually-measured driving curve corresponding to each path state and the sample driving curve;
and the identification unit is used for identifying the identity of the driver according to the goodness-of-fit evaluation value of each path state.
The first obtaining unit is specifically configured to: by the formula:
Q＝∑(v-v*)2and an
Figure BDA0001166609190000081
Obtaining the goodness of fit of the actually measured driving curve and a prestored sample driving curve under the state of the corresponding path;
where v is the measured driving speed value, v*The driving curve fitting method is characterized in that a speed value is pre-stored, R is a fitting goodness, and R ranges from 0 to 1, and the fitting degree of an actually measured driving curve and a pre-stored sample driving curve is from bottom to top.
The second obtaining unit is specifically configured to:
according to the formula:
Figure BDA0001166609190000091
and phi is ═ Σ phiiObtaining a goodness-of-fit evaluation value of each path state;
wherein phi isiFor the goodness-of-fit evaluation value, i is an integer greater than or equal to 1, and φ is the sum of the goodness-of-fit evaluation values for each path state.
Wherein the identification unit is specifically configured to:
if phi is within a preset threshold range, determining that the identity of the driver matches the pre-stored driver identity.
The embodiment of the device of the invention corresponds to the method, and all implementation modes in the embodiment of the method are applicable to the embodiment of the device, and the same technical effect can be achieved.
In the above-described embodiments of the present invention, the driving scenario (route state) used includes: three kinds of effective scenes such as straight going, left quarter turn, right quarter turn to and the running state includes: acceleration, deceleration, left turn, right turn, etc. The driving curve refers to a driving curve obtained by a specific driving state in the above-described scene.
In the above embodiment of the present invention, the running data of the vehicle includes: acceleration values and deflection values. The identity comparison operation needs to have the driving information of the user driving the vehicle, which is collected and stored in advance, and can be compared with a local database in an off-line mode or compared with a database of a background server in an on-line mode.
The obtained actual measurement driving curve is used as the input of the identification unit, and the driving curve is compared with the driver identity data stored in the pre-stored database, so that the driver identity information is determined more safely and quickly.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (12)

1.一种驾驶员身份识别方法，其特征在于，包括：1. a driver identification method, is characterized in that, comprises: 获取车辆行驶过程中的路径状态信息和行驶状态信息；Obtain the path status information and driving status information during the driving process of the vehicle; 根据所述路径状态信息和行驶状态信息，分别生成每一种路径状态下对应的实测行驶曲线，所述实测行驶曲线为实测行驶速度与时间的关系曲线；According to the path state information and the driving state information, respectively generate a measured driving curve corresponding to each path state, and the measured driving curve is a relationship curve between the measured driving speed and time; 根据每一种路径状态下对应的实测行驶曲线，识别驾驶员的身份，包括：Identify the driver's identity according to the measured driving curve corresponding to each path state, including: 将每一种路径状态下对应的实测行驶曲线，与预先存储的样本行驶曲线进行拟合，得到每一种路径状态对应的实测行驶曲线与样本行驶曲线的拟合优度；Fitting the measured driving curve corresponding to each path state with the pre-stored sample driving curve to obtain the goodness of fit between the measured driving curve corresponding to each path state and the sample driving curve; 根据每一种路径状态对应的实测行驶曲线与样本行驶曲线的拟合优度，得到每一种路径状态的拟合优度评价值；其中，通过公式：According to the goodness of fit of the measured driving curve corresponding to each path state and the sample driving curve, the goodness of fit evaluation value of each path state is obtained; wherein, through the formula: Q＝∑(ν-ν*)2，以及
Figure FDA0002246326330000011
得到对应路径状态下，实测行驶曲Q=∑(ν-ν * ) 2 , and
Figure FDA0002246326330000011
Under the corresponding path state, the measured driving curve 线与预先存储的样本行驶曲线的拟合优度，ν为实测行驶速度值，ν*为预存速度值，R为拟合优度，R从0～1，分别表示实测行驶曲线与预先存储的样本行驶曲线的拟合程度从低到高；The goodness of fit between the line and the pre-stored sample driving curve, ν is the measured driving speed value, ν * is the pre-stored speed value, R is the goodness of fit, R ranges from 0 to 1, representing the measured driving curve and the pre-stored driving curve respectively. The fitting degree of the sample driving curve is from low to high; 根据每一种路径状态的拟合优度评价值，识别驾驶员的身份。According to the goodness-of-fit evaluation value of each path state, the identity of the driver is identified. 2.根据权利要求1所述的驾驶员身份识别方法，其特征在于，获取车辆行驶过程中的路径状态信息的步骤包括：2. The driver identification method according to claim 1, wherein the step of acquiring the path state information in the driving process of the vehicle comprises: 获取车辆行驶过程中的定位信息；Obtain the positioning information during the driving process of the vehicle; 根据所述定位信息，确定车辆行驶过程中的路径状态信息。According to the positioning information, the path state information during the driving process of the vehicle is determined. 3.根据权利要求2所述的驾驶员身份识别方法，其特征在于，所述路径状态信息包括：直行、左直角转弯和/或右直角转弯信息。3 . The driver identification method according to claim 2 , wherein the path state information comprises: information about going straight, turning at a right angle to the left and/or turning at a right angle. 4 . 4.根据权利要求1所述的驾驶员身份识别方法，其特征在于，获取车辆行驶过程中的行驶状态信息的步骤包括：4. The driver identification method according to claim 1, wherein the step of acquiring the driving state information in the driving process of the vehicle comprises: 通过车辆的重力传感器和/或加速度计传感器，获取车辆行驶过程中的行驶状态信息。Through the gravity sensor and/or the accelerometer sensor of the vehicle, the driving state information during the driving process of the vehicle is acquired. 5.根据权利要求4所述的驾驶员身份识别方法，其特征在于，所述行驶状态信息包括：加速、减速、左转弯和/或右转弯信息。5 . The driver identification method according to claim 4 , wherein the driving state information comprises: acceleration, deceleration, left turn and/or right turn information. 6 . 6.根据权利要求1所述的驾驶员身份识别方法，其特征在于，根据每一种路径状态对应的实测行驶曲线与样本行驶曲线的拟合优度，得到每一种路径状态的拟合优度评价值的步骤包括：6. The driver identification method according to claim 1, wherein, according to the goodness of fit of the measured driving curve corresponding to each path state and the sample driving curve, the goodness of fit of each path state is obtained. The steps to evaluate the value include: 根据公式：
Figure FDA0002246326330000021
以及φ＝∑φi得到每一种路径状态的拟合优度评价值；According to the formula:
Figure FDA0002246326330000021
and φ=Σφ i to obtain the goodness-of-fit evaluation value of each path state; 其中，φi为拟合优度评价值，i为大于或者等于1的整数，φ为每一种路径状态的拟合优度评价值的总和。Among them, φ i is the evaluation value of the goodness of fit, i is an integer greater than or equal to 1, and φ is the sum of the evaluation values of the goodness of fit of each path state. 7.根据权利要求6所述的驾驶员身份识别方法，其特征在于，根据每一种路径状态的拟合优度评价值，识别驾驶员的身份的步骤包括：7. driver identification method according to claim 6 is characterized in that, according to the goodness-of-fit evaluation value of each kind of path state, the step of identifying the driver's identity comprises: 若φ在一预设阈值范围内，则确定驾驶员的身份与预先存储的驾驶员身份匹配。If φ is within a preset threshold range, it is determined that the driver's identity matches the pre-stored driver's identity. 8.一种驾驶员身份识别装置，其特征在于，包括：8. A driver identification device, characterized in that, comprising: 获取模块，用于获取车辆行驶过程中的路径状态信息和行驶状态信息；The acquisition module is used to acquire the path status information and driving status information during the driving process of the vehicle; 识别模块，用于根据所述路径状态信息和行驶状态信息，分别生成每一种路径状态下对应的实测行驶曲线，所述实测行驶曲线为实测行驶速度与时间的关系曲线；根据每一种路径状态下对应的实测行驶曲线，识别驾驶员的身份；The identification module is used to respectively generate the measured driving curve corresponding to each path state according to the path state information and the driving state information, and the measured driving curve is the relationship curve between the measured driving speed and time; according to each path The measured driving curve corresponding to the state to identify the driver's identity; 识别模块包括：Identification modules include: 第一获取单元，用于将每一种路径状态下对应的实测行驶曲线，与预先存储的样本行驶曲线进行拟合，得到每一种路径状态对应的实测行驶曲线与样本行驶曲线的拟合优度；The first acquisition unit is used to fit the measured driving curve corresponding to each path state with the pre-stored sample driving curve, and obtain the optimal fitting between the measured driving curve corresponding to each path state and the sample driving curve. Spend; 第二获取单元，用于根据每一种路径状态对应的实测行驶曲线与样本行驶曲线的拟合优度，得到每一种路径状态的拟合优度评价值；a second obtaining unit, configured to obtain a goodness-of-fit evaluation value of each path state according to the goodness of fit between the measured driving curve corresponding to each path state and the sample driving curve; 第一获取单元，具体用于通过公式：Q＝∑(ν-ν*)2，以及
Figure FDA0002246326330000022
得到对应路径状态下，实测行驶曲线与预先存储的样本行驶曲线的拟合优度，ν为实测行驶速度值，ν*为预存速度值，R为拟合优度，R从0～1，分别表示实测行驶曲线与预先存储的样本行驶曲线的拟合程度从低到高；The first acquisition unit, specifically for passing the formula: Q=∑(ν-ν * ) 2 , and
Figure FDA0002246326330000022
Obtain the goodness of fit between the measured driving curve and the pre-stored sample driving curve under the corresponding path state, ν is the measured driving speed value, ν * is the pre-stored speed value, R is the goodness of fit, R is from 0 to 1, respectively. Indicates that the fitting degree between the measured driving curve and the pre-stored sample driving curve is from low to high; 识别单元，用于根据每一种路径状态的拟合优度评价值，识别驾驶员的身份。The identification unit is used for identifying the driver's identity according to the evaluation value of the goodness of fit of each path state. 9.根据权利要求8所述的驾驶员身份识别装置，其特征在于，所述获取模块具体用于：获取车辆行驶过程中的定位信息；根据所述定位信息，确定车辆行驶过程中的路径状态信息。9 . The driver identification device according to claim 8 , wherein the obtaining module is specifically used to: obtain positioning information during the running of the vehicle; and determine the path state during the running of the vehicle according to the positioning information. 10 . information. 10.根据权利要求8所述的驾驶员身份识别装置，其特征在于，所述获取模块具体用于：通过车辆的重力传感器和/或加速度计传感器，获取车辆行驶过程中的行驶状态信息。10 . The driver identification device according to claim 8 , wherein the obtaining module is specifically configured to obtain the driving state information during the driving of the vehicle through a gravity sensor and/or an accelerometer sensor of the vehicle. 11 . 11.根据权利要求10所述的驾驶员身份识别装置，其特征在于，所述第二获取单元具体用于：11. The driver identification device according to claim 10, wherein the second acquisition unit is specifically used for: 根据公式：
Figure FDA0002246326330000031
以及φ＝∑φi得到每一种路径状态的拟合优度评价值；According to the formula:
Figure FDA0002246326330000031
and φ=Σφ i to obtain the goodness-of-fit evaluation value of each path state; 其中，φi为拟合优度评价值，i为大于或者等于1的整数，φ为每一种路径状态的拟合优度评价值的总和。Among them, φ i is the evaluation value of the goodness of fit, i is an integer greater than or equal to 1, and φ is the sum of the evaluation values of the goodness of fit of each path state. 12.根据权利要求11所述的驾驶员身份识别装置，其特征在于，所述识别单元具体用于：12. The driver identification device according to claim 11, wherein the identification unit is specifically used for: 若φ在一预设阈值范围内，则确定驾驶员的身份与预先存储的驾驶员身份匹配。If φ is within a preset threshold range, it is determined that the driver's identity matches the pre-stored driver's identity.
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