CN109017796B - Dangerous driving early warning method, system, equipment and computer storage medium - Google Patents
Dangerous driving early warning method, system, equipment and computer storage medium Download PDFInfo
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- CN109017796B CN109017796B CN201810828414.1A CN201810828414A CN109017796B CN 109017796 B CN109017796 B CN 109017796B CN 201810828414 A CN201810828414 A CN 201810828414A CN 109017796 B CN109017796 B CN 109017796B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0002—Automatic control, details of type of controller or control system architecture
- B60W2050/0004—In digital systems, e.g. discrete-time systems involving sampling
- B60W2050/0005—Processor details or data handling, e.g. memory registers or chip architecture
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Abstract
The application discloses a dangerous driving early warning method, a system, equipment and a computer storage medium, wherein the method comprises the following steps: acquiring real-time physical sign information of a driver; acquiring in-vehicle environment information of a target vehicle driven by a driver; calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information; and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result. The dangerous driving early warning method, the system, the equipment and the computer readable storage medium comprehensively consider real-time sign information and in-vehicle environment information to judge the driving safety of the driver, and compared with the prior art that whether the driver is in dangerous driving is judged by only detecting whether the driver is tired, smokes and distracted through a camera, the judgment accuracy is higher.
Description
Technical Field
The present application relates to the field of automotive driving technologies, and more particularly, to a dangerous driving early warning method, system, device, and computer storage medium.
Background
The existing method for judging whether a driver is dangerous driving is as follows: whether the driver is dangerous driving or not is judged by detecting whether the driver is tired, smokes and distracted through the camera.
However, the existing method for judging whether the driver is dangerous driving only detects whether the driver is tired, smokes and distracted through the camera to judge whether the driver is dangerous driving, and the judgment accuracy is low.
In summary, how to provide a dangerous driving early warning method with high judgment accuracy is a problem to be urgently solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a dangerous driving early warning method, which can solve the technical problem of how to provide a dangerous driving early warning method with higher judgment accuracy to a certain extent. The application also provides a dangerous driving early warning system, equipment and a computer readable storage medium.
In order to achieve the above purpose, the present application provides the following technical solutions:
a dangerous driving early warning method comprises the following steps:
acquiring real-time physical sign information of a driver;
acquiring in-vehicle environment information of a target vehicle driven by a driver;
calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
judging the driving safety of a driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result;
wherein, according to sign danger coefficient and the interior environmental risk coefficient of car judge driver's driving safety, before obtaining the judged result, still include:
acquiring driving behavior information of a driver;
determining a driving behavior danger coefficient corresponding to the driving behavior information;
the driving safety of the driver is judged according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result, and the judgment result comprises the following steps:
judging the driving safety of a driver according to the sign danger coefficient, the in-vehicle environment danger coefficient and the driving behavior danger coefficient to obtain a judgment result;
the calculating of the sign risk coefficient corresponding to the real-time sign information includes:
calculating the sign risk coefficient based on a sign risk coefficient calculation formula, wherein the sign risk coefficient calculation formula comprises:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing the sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
Preferably, the determining the driving safety of the driver according to the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient to obtain a determination result includes:
calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient;
determining a driving risk coefficient of the driver according to the correlation;
and judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
Preferably, after determining that the driver is driving at risk, the method further includes:
and sending out dangerous driving prompt information.
Preferably, the calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information includes:
calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on an in-vehicle environment risk coefficient calculation formula, wherein the in-vehicle environment risk coefficient calculation formula comprises:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing the in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the in-vehicle environment information, and v represents the in-vehicle environment information; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and a driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
Preferably, the determining the driving behavior risk coefficient corresponding to the driving behavior information includes:
and determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
A dangerous driving early warning system, comprising:
the first acquisition module is used for acquiring real-time sign information of a driver;
the second acquisition module is used for acquiring the in-vehicle environment information of the target vehicle driven by the driver;
the first calculation module is used for calculating the sign risk coefficient corresponding to the real-time sign information and calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
the first judgment module is used for judging the driving safety of the driver according to the sign risk coefficient and the in-vehicle environment risk coefficient to obtain a judgment result;
wherein the system further comprises:
the third obtaining module is used for obtaining the driving behavior information of the driver before the first judging module judges the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient and obtains a judging result;
the first determining module is used for determining a driving behavior danger coefficient corresponding to the driving behavior information;
the first judging module comprises:
the first judgment unit is used for judging the driving safety of the driver according to the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient to obtain a judgment result;
the first computing module includes:
a second calculating unit, configured to calculate the sign risk coefficient based on a sign risk coefficient calculation formula, where the sign risk coefficient calculation formula includes:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing the sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
Preferably, the first judging module includes:
the first calculation unit is used for calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient;
a first determination unit for determining a driving risk coefficient of the driver based on the correlation;
and the second judgment unit is used for judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
Preferably, the method further comprises the following steps:
and the prompting module is used for sending out dangerous driving prompting information after the second judging unit judges that the driver is in dangerous driving.
Preferably, the first calculation module includes:
a third calculating unit, configured to calculate an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on an in-vehicle environment risk coefficient calculating formula, where the in-vehicle environment risk coefficient calculating formula includes:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing the in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the in-vehicle environment information, and v represents the in-vehicle environment information; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and a driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
Preferably, the first determining module includes:
and the second determining unit is used for determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
A dangerous driving early warning apparatus comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the dangerous driving early warning method when the computer program is executed.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the dangerous driving warning method as set forth in any one of the preceding claims.
According to the dangerous driving early warning method, real-time sign information of a driver is acquired; acquiring in-vehicle environment information of a target vehicle driven by a driver; calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information; and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result. Because the real-time physical sign information and the in-vehicle environment information of the driver are related to the driver, the driving safety of the driver can be accurately judged by means of the real-time physical sign information and the in-vehicle environment information, in addition, after the real-time physical sign information and the in-vehicle environment information are obtained, the driving safety of the driver is not judged directly according to the real-time physical sign information and the in-vehicle environment information, but the physical sign danger coefficient corresponding to the real-time physical sign information and the in-vehicle environment danger coefficient corresponding to the in-vehicle environment information are calculated firstly, and finally the driving safety of the driver is judged according to the physical sign danger coefficient and the in-vehicle environment danger coefficient, namely the driving safety of the driver is judged by comprehensively considering the real-time physical sign information and the in-vehicle environment information, compared with the prior art that whether the driver is dangerous driving is judged by only detecting whether the driver is tired, smokes and distracted by a camera, the judgment accuracy is high. The dangerous driving early warning system, the dangerous driving early warning equipment and the computer readable storage medium solve the corresponding technical problems.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a first flowchart of a dangerous driving warning method according to an embodiment of the present disclosure;
fig. 2 is a second flowchart of a dangerous driving early warning method provided in the embodiment of the present application;
fig. 3 is a third flowchart of a dangerous driving early warning method provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of a dangerous driving early warning system according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a dangerous driving early warning device according to an embodiment of the present application;
fig. 6 is another schematic structural diagram of a dangerous driving early warning apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The existing method for judging whether the driving behavior of a driver is dangerous driving behavior is as follows: whether the driving behavior of the driver is dangerous driving behavior is judged by detecting whether the driver is tired, smokes and distracted through the camera. However, in the existing method for judging whether the driving behavior of the driver is dangerous driving behavior, whether the driving behavior of the driver is dangerous driving behavior is judged only by detecting whether the driver is tired, smokes and distracted through a camera, and the judgment accuracy is low. The dangerous driving early warning method provided by the application is high in judgment accuracy.
Referring to fig. 1, fig. 1 is a first flowchart of a dangerous driving warning method according to an embodiment of the present disclosure.
The dangerous driving early warning method provided by the embodiment of the application can comprise the following steps:
step S101: and acquiring real-time physical sign information of the driver.
The real-time physical sign information of the driver can comprise the current body temperature, the current heart rate, the current blood pressure, the breathing frequency and the like, and the specific type of the real-time physical sign information can be flexibly determined according to actual needs. Real-time sign information can be obtained by the intelligent wearing equipment that the driver wore, for example intelligent bracelet, wrist-watch, glasses, dress etc..
Step S102: in-vehicle environment information of a target vehicle driven by a driver is acquired.
The in-vehicle environment information can include in-vehicle alcohol concentration, in-vehicle smoke concentration and the like, and the specific category of the in-vehicle environment information can also be determined according to actual needs. The in-vehicle environment information can be obtained by an intelligent environment monitor and the like.
Step S103: and calculating the sign danger coefficient corresponding to the real-time sign information, and calculating the in-vehicle environment danger coefficient corresponding to the in-vehicle environment information.
In practical application, the sign risk coefficient can be calculated based on a sign risk coefficient calculation formula, and the sign risk coefficient calculation formula includes:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing a sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and the preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant. Taking the real-time physical sign information as the current body temperature, the current heart rate, the current blood pressure and the breathing frequency as examples, the process of calculating the physical sign risk coefficient corresponding to the real-time physical sign information is as follows:
correspondingly, the in-vehicle environmental risk coefficient corresponding to the in-vehicle environmental information can be calculated based on an in-vehicle environmental risk coefficient calculation formula, which includes:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing an in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the environment information in the vehicle, and v represents the environment information in the vehicle; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and the driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
Step S104: and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result.
In practical application, the process of judging the driving safety of the driver according to the sign risk coefficient and the in-vehicle environment risk coefficient may be that the driving behavior of the driver is determined to be unsafe when the value of any risk coefficient of the sign risk coefficient or the in-vehicle environment risk coefficient exceeds a corresponding preset threshold value; the driving safety of the driver may also be determined by comprehensively considering the sign risk coefficient and the in-vehicle environment risk coefficient, for example, the correlation between the sign risk coefficient and the in-vehicle environment risk coefficient may be calculated first, and then the driving safety of the driver may be determined according to the correlation.
According to the dangerous driving early warning method, real-time sign information of a driver is acquired; acquiring in-vehicle environment information of a target vehicle driven by a driver; calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information; and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result. Because the real-time physical sign information and the in-vehicle environment information of the driver are related to the driver, the driving safety of the driver can be accurately judged by means of the real-time physical sign information and the in-vehicle environment information, in addition, after the real-time physical sign information and the in-vehicle environment information are obtained, the driving safety of the driver is not judged directly according to the real-time physical sign information and the in-vehicle environment information, but the physical sign danger coefficient corresponding to the real-time physical sign information and the in-vehicle environment danger coefficient corresponding to the in-vehicle environment information are calculated firstly, and finally the driving safety of the driver is judged according to the physical sign danger coefficient and the in-vehicle environment danger coefficient, namely the driving safety of the driver is judged by comprehensively considering the real-time physical sign information and the in-vehicle environment information, compared with the prior art that whether the driver is dangerous driving is judged by only detecting whether the driver is tired, smokes and distracted by a camera, the judgment accuracy is high.
Referring to fig. 2, fig. 2 is a second flowchart of a dangerous driving warning method according to an embodiment of the present disclosure.
In order to further provide accuracy for judging driving behaviors, the dangerous driving early warning method provided by the embodiment of the application can specifically be as follows:
step S201: and acquiring real-time physical sign information of the driver.
Step S202: in-vehicle environment information of a target vehicle driven by a driver is acquired.
Step S203: and calculating the sign danger coefficient corresponding to the real-time sign information, and calculating the in-vehicle environment danger coefficient corresponding to the in-vehicle environment information.
Step S204: and acquiring driving behavior information of the driver.
The driving behavior information described in the embodiment of the application includes a driving posture of the driver, a posture of holding a steering wheel, and the like, and specific contents of the driving behavior information can be flexibly determined according to actual needs. In a specific application scene, the driving behavior information of a driver can be acquired by means of the camera in the vehicle.
Step S205: and determining the driving behavior danger coefficient corresponding to the driving behavior information.
In specific application, the corresponding relation between the driving behavior information and the driving behavior danger coefficient can be preset, and then the driving behavior danger coefficient corresponding to the driving behavior information of the driver is directly determined according to the corresponding relation.
Step S206: and judging the driving safety of the driver according to the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient to obtain a judgment result.
Referring to fig. 3, fig. 3 is a third flowchart of a dangerous driving warning method according to an embodiment of the present disclosure.
In order to further improve the accuracy of the judgment of the dangerous driving early warning method provided by the embodiment of the present application, the dangerous driving early warning method provided by the embodiment of the present application may specifically be:
step S301: and acquiring real-time physical sign information of the driver.
Step S302: in-vehicle environment information of a target vehicle driven by a driver is acquired.
Step S303: and calculating the sign danger coefficient corresponding to the real-time sign information, and calculating the in-vehicle environment danger coefficient corresponding to the in-vehicle environment information.
Step S304: and acquiring driving behavior information of the driver.
Step S305: and determining the driving behavior danger coefficient corresponding to the driving behavior information.
Step S306: and calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient.
The method for calculating the correlation can be flexibly determined according to actual needs, for example, the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient, the driving behavior risk coefficient and the like can be calculated by means of a covariance formula.
Step S307: and determining the driving risk coefficient of the driver according to the correlation.
In practical application, the correlations among the sign risk coefficients, the in-vehicle environment risk coefficients, and the driving behavior risk coefficients may be subjected to range division, for example, the correlations with values smaller than a first threshold are divided into a first-class correlation, the correlations with values greater than or equal to the first threshold and smaller than a second threshold are divided into a second-class correlation, the correlations with values greater than or equal to the second threshold are divided into a third-class correlation, the second threshold is greater than the first threshold, the driving risk coefficient corresponding to the first-class correlation is 1, the driving risk coefficient corresponding to the second-class correlation is 2, and the driving risk coefficient corresponding to the third-class correlation is 3.
Step S308: and judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
In a specific application scene, after dangerous driving of a driver is judged, dangerous driving prompt information can be sent, and the content and the reminding mode of the dangerous driving prompt information can be determined according to actual needs. Referring to table 1, table 1 shows the influence factors and the reminding manner corresponding to each risk level. The low level, the middle level, the high level, the higher level and the like are all quantifiers, and the specific range division can be determined according to actual conditions.
TABLE 1
The application also provides a dangerous driving early warning system which has the corresponding effect of the dangerous driving early warning method provided by the embodiment of the application. Referring to fig. 4, fig. 4 is a schematic structural diagram of a dangerous driving early warning system according to an embodiment of the present disclosure.
The embodiment of the application provides a dangerous driving early warning system can include:
the first acquisition module 101 is used for acquiring real-time sign information of a driver;
the second obtaining module 102 is configured to obtain in-vehicle environment information of a target vehicle driven by a driver;
the first calculation module 103 is configured to calculate a sign risk coefficient corresponding to the real-time sign information, and calculate an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
and the first judgment module 104 is used for judging the driving safety of the driver according to the sign risk coefficient and the in-vehicle environment risk coefficient to obtain a judgment result.
In the dangerous driving early warning system that this application embodiment provided, can also include:
the third acquisition module is used for acquiring the driving behavior information of the driver before the first judgment module judges the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result;
the first determining module is used for determining a driving behavior danger coefficient corresponding to the driving behavior information;
correspondingly, the first determining module may include:
and the first judgment unit is used for judging the driving safety of the driver according to the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient to obtain a judgment result.
In the dangerous driving early warning system that this application embodiment provided, first judgement module can include:
the first calculation unit is used for calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient;
a first determination unit for determining a driving risk coefficient of the driver based on the correlation;
and the second judgment unit is used for judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
In the dangerous driving early warning system that this application embodiment provided, can also include:
and the prompting module is used for sending out dangerous driving prompting information after the second judging unit judges that the driver is in dangerous driving.
In the dangerous driving early warning system provided by the embodiment of the application, the first calculation module may include:
the second calculation unit is used for calculating the sign risk coefficient based on a sign risk coefficient calculation formula, and the sign risk coefficient calculation formula comprises:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing a sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing real-time volumesThe vector deviation between the sign information and the preset historical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
In the dangerous driving early warning system provided by the embodiment of the application, the first calculation module may include:
and the third calculation unit is used for calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on the in-vehicle environment risk coefficient calculation formula, and the in-vehicle environment risk coefficient calculation formula comprises:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing an in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the environment information in the vehicle, and v represents the environment information in the vehicle; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and the driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
In the dangerous driving early warning system provided by the embodiment of the application, the first determining module may include:
and the second determining unit is used for determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
The application also provides dangerous driving early warning equipment and a computer readable storage medium, which have corresponding effects of the dangerous driving early warning method provided by the embodiment of the application. Referring to fig. 5, fig. 5 is a schematic structural diagram of a dangerous driving early warning apparatus according to an embodiment of the present disclosure.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer program is stored in the memory 201, and the processor 202 executes the computer program stored in the memory 201 to realize the following steps:
acquiring real-time physical sign information of a driver;
acquiring in-vehicle environment information of a target vehicle driven by a driver;
calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient, and acquiring the driving behavior information of the driver before obtaining a judgment result; determining a driving behavior danger coefficient corresponding to the driving behavior information; correspondingly, the driving safety of the driver is judged according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result, and specifically, the driving safety of the driver is judged according to the sign danger coefficient, the in-vehicle environment danger coefficient and the driving behavior danger coefficient to obtain a judgment result.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: the method comprises the following steps: calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient; determining a driving risk coefficient of the driver according to the correlation; and judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: and sending out dangerous driving prompt information after judging that the driver is in dangerous driving.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: calculating the sign risk coefficient based on a sign risk coefficient calculation formula, wherein the sign risk coefficient calculation formula comprises:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing a sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and the preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on an in-vehicle environment risk coefficient calculation formula, wherein the in-vehicle environment risk coefficient calculation formula comprises:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing an in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the environment information in the vehicle, and v represents the environment information in the vehicle; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and the driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
The dangerous driving early warning device provided by the embodiment of the application comprises a memory 201 and a processor 202, wherein a computer subprogram is stored in the memory 201, and the processor 202 specifically realizes the following steps when executing the computer subprogram stored in the memory 201: and determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
Referring to fig. 6, another dangerous driving early warning apparatus provided in the embodiment of the present application may further include: an input port 203 connected to the processor 202, for transmitting externally input commands to the processor 202; a display unit 204 connected to the processor 202, for displaying the processing result of the processor 202 to the outside; and the communication module 205 is connected with the processor 202 and is used for realizing the communication between the dangerous driving early warning device and the outside. The display unit 202 may be a display panel, a laser scanning display, or the like; the communication method adopted by the communication module 205 includes, but is not limited to, mobile high definition link technology (HML), Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), and wireless connection: wireless fidelity technology (WiFi), bluetooth communication technology, bluetooth low energy communication technology, ieee802.11s based communication technology.
A computer-readable storage medium is provided in an embodiment of the present application, in which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the following steps:
acquiring real-time physical sign information of a driver;
acquiring in-vehicle environment information of a target vehicle driven by a driver;
calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
and judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient, and acquiring the driving behavior information of the driver before obtaining a judgment result; determining a driving behavior danger coefficient corresponding to the driving behavior information; correspondingly, the driving safety of the driver is judged according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result, and specifically, the driving safety of the driver is judged according to the sign danger coefficient, the in-vehicle environment danger coefficient and the driving behavior danger coefficient to obtain a judgment result.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: the method comprises the following steps: calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient; determining a driving risk coefficient of the driver according to the correlation; and judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: and sending out dangerous driving prompt information after judging that the driver is in dangerous driving.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: calculating the sign risk coefficient based on a sign risk coefficient calculation formula, wherein the sign risk coefficient calculation formula comprises:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing a sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and the preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on an in-vehicle environment risk coefficient calculation formula, wherein the in-vehicle environment risk coefficient calculation formula comprises:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing an in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the environment information in the vehicle, and v represents the environment information in the vehicle; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and the driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
An embodiment of the present application provides a computer-readable storage medium, in which a computer subprogram is stored, where the computer subprogram, when executed by a processor, specifically implements: and determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
Embodiments of the present application may be described as a computer-readable storage medium including Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
For a description of a relevant part in the dangerous driving early warning system, the dangerous driving early warning device, and the computer readable storage medium provided in the embodiments of the present application, reference is made to detailed descriptions of a corresponding part in the dangerous driving early warning method provided in the embodiments of the present application, and details are not repeated herein. In addition, parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A dangerous driving early warning method is characterized by comprising the following steps:
acquiring real-time physical sign information of a driver;
acquiring in-vehicle environment information of a target vehicle driven by a driver;
calculating a physical sign risk coefficient corresponding to the real-time physical sign information, and calculating an in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
judging the driving safety of a driver according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result;
wherein, according to sign danger coefficient and the interior environmental risk coefficient of car judge driver's driving safety, before obtaining the judged result, still include:
acquiring driving behavior information of a driver;
determining a driving behavior danger coefficient corresponding to the driving behavior information;
the driving safety of the driver is judged according to the sign danger coefficient and the in-vehicle environment danger coefficient to obtain a judgment result, and the judgment result comprises the following steps:
judging the driving safety of a driver according to the sign danger coefficient, the in-vehicle environment danger coefficient and the driving behavior danger coefficient to obtain a judgment result;
the calculating of the sign risk coefficient corresponding to the real-time sign information includes:
calculating the sign risk coefficient based on a sign risk coefficient calculation formula, wherein the sign risk coefficient calculation formula comprises:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing the sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
2. The method according to claim 1, wherein the determining the driving safety of the driver according to the sign risk coefficient, the in-vehicle environmental risk coefficient and the driving behavior risk coefficient to obtain a determination result comprises:
calculating the correlation among the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient;
determining a driving risk coefficient of the driver according to the correlation;
and judging whether the driving risk coefficient is greater than or equal to a preset risk coefficient threshold value, and if so, judging that the driver is in dangerous driving.
3. The method of claim 2, wherein after determining that the driver is driving at risk, further comprising:
and sending out dangerous driving prompt information.
4. The method according to claim 1, wherein the calculating of the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information includes:
calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information based on an in-vehicle environment risk coefficient calculation formula, wherein the in-vehicle environment risk coefficient calculation formula comprises:
ω2＝(ν·β2)/μ2·I；
wherein, ω is2Representing the in-vehicle environmental risk factor; v and beta2The matrix is corresponding to the in-vehicle environment information, and v represents the in-vehicle environment information; beta is a2Representing the weight corresponding to the environment information in the vehicle; mu.s2Represents an in-vehicle environment threshold value and is a constant; i represents a correlation between the in-vehicle environment and a driver, I ═ 1 represents that the in-vehicle environment information is correlated with the driver, and I ═ 0 represents that the in-vehicle environment information is not correlated with the driver.
5. The method of claim 1, wherein the determining the driving behavior risk coefficient corresponding to the driving behavior information comprises:
and determining the driving behavior danger coefficient corresponding to the driving behavior of the driver according to the corresponding relation between the preset driving behavior information and the driving behavior danger coefficient.
6. A dangerous driving early warning system, comprising:
the first acquisition module is used for acquiring real-time sign information of a driver;
the second acquisition module is used for acquiring the in-vehicle environment information of the target vehicle driven by the driver;
the first calculation module is used for calculating the sign risk coefficient corresponding to the real-time sign information and calculating the in-vehicle environment risk coefficient corresponding to the in-vehicle environment information;
the first judgment module is used for judging the driving safety of the driver according to the sign risk coefficient and the in-vehicle environment risk coefficient to obtain a judgment result;
wherein the system further comprises:
the third obtaining module is used for judging the driving safety of the driver according to the sign danger coefficient and the in-vehicle environment danger coefficient by the first judging module and obtaining the driving behavior information of the driver before the judgment result is obtained;
the first determining module is used for determining a driving behavior danger coefficient corresponding to the driving behavior information;
the first judging module comprises:
the first judgment unit is used for judging the driving safety of the driver according to the sign risk coefficient, the in-vehicle environment risk coefficient and the driving behavior risk coefficient to obtain a judgment result;
the first computing module includes:
a second calculating unit, configured to calculate the sign risk coefficient based on a sign risk coefficient calculation formula, where the sign risk coefficient calculation formula includes:
ω1＝(1·β1)/μ1；
wherein, ω is1Representing the sign risk coefficient;1、β1are all matrixes corresponding to the sign information of the driver, and1representing the vector deviation between the real-time physical sign information and preset historical physical sign information; beta is a1A weight representing the driver's vital sign information; mu.s1The sign threshold is a constant.
7. A dangerous driving early warning apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the hazardous driving warning method of any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the dangerous driving warning method as claimed in any one of claims 1 to 5.
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| ITUB20159818A1 (en) * | 2015-12-31 | 2017-07-01 | Tosina Francisco Javier Garcia | SYSTEM AND METHOD FOR CALCULATING AT LEAST A RISK INDEX FOR THE USER'S FUTURE DRIVING ACTIVITY. |
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| CN107180219A (en) * | 2017-01-25 | 2017-09-19 | 问众智能信息科技（北京）有限公司 | Driving dangerousness coefficient appraisal procedure and device based on multi-modal information |
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