CN111613055A

CN111613055A - Early warning method and device for vehicle driving risk

Info

Publication number: CN111613055A
Application number: CN202010413381.1A
Authority: CN
Inventors: 侯琛
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-05-15
Filing date: 2020-05-15
Publication date: 2020-09-01

Abstract

The embodiment of the application provides a vehicle driving risk early warning method and device. The early warning method comprises the following steps: calculating a first driving risk value of a target vehicle according to a running parameter of the target vehicle; acquiring a first probability of a traffic accident of a road where the target vehicle is located due to a road surface barrier; calculating a second probability that other vehicles located within a predetermined range behind the target vehicle are influenced by the road surface obstacle to travel according to the first probability; and if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, early warning the target vehicle when the target vehicle drives away from the area where the road surface obstacle is located. The technical scheme of this application embodiment can improve the attention degree of target vehicle navigating mate to dangerous highway section, guarantees the early warning effect.

Description

Early warning method and device for vehicle driving risk

Technical Field

The application relates to the technical field of driving safety, in particular to an early warning method and device for vehicle driving risks.

Background

When a vehicle travels on a road, a traffic accident is likely to occur due to a road surface obstacle on the road. In the current technical scheme, when a dangerous road section in front of a vehicle is easy to appear with road obstacles (such as falling rocks, road construction and the like), the vehicle is pre-warned to remind a driver of driving carefully. However, during the traveling of the vehicle, the traveling condition of the traveling vehicle located behind the vehicle also affects the vehicle. Therefore, how to improve the attention degree of the driver to the dangerous road section and ensure the early warning effect becomes a technical problem to be solved urgently.

Disclosure of Invention

The embodiment of the application provides a vehicle driving risk early warning method and device, so that the attention degree of a driver to a dangerous road section can be improved at least to a certain extent, and the early warning effect is further ensured.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.

According to an aspect of an embodiment of the present application, there is provided a method for warning of risky driving of a vehicle, the method including:

calculating a first driving risk value of a target vehicle according to a running parameter of the target vehicle;

acquiring a first probability of a traffic accident of a road where the target vehicle is located due to a road surface barrier;

calculating a second probability that other vehicles located within a predetermined range behind the target vehicle are influenced by the road surface obstacle to travel according to the first probability;

and if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, early warning the target vehicle when the target vehicle drives away from the area where the road surface obstacle is located.

According to an aspect of an embodiment of the present application, there is provided a vehicle driving risk early warning apparatus, including:

the first calculation module is used for calculating a first driving risk value of a target vehicle according to the running parameters of the target vehicle;

the acquisition module is used for acquiring a first probability of a traffic accident caused by a road surface obstacle on a road where the target vehicle is located;

the second calculation module is used for calculating a second probability that other vehicles in a preset range behind the target vehicle are influenced by the road surface obstacle to run according to the first probability;

and the processing module is used for early warning the target vehicle when the target vehicle drives away from the area where the road surface obstacle is located if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value.

Based on the foregoing, in some embodiments of the present application, the second calculation module is configured to: acquiring the distance between the other vehicles and the area where the road surface obstacle is located; and calculating the second probability that the other vehicle is influenced by the road surface obstacle to travel according to the distance and the first probability.

Based on the foregoing, in some embodiments of the present application, the second calculation module is configured to: generating a distance request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information; sending a distance request for the other vehicle to a server so that the server calculates the distance between the other vehicle and the area where the road surface obstacle is located according to the identification information of the target vehicle; receiving the distance between the other vehicle and the area where the road surface obstacle is located, which is sent by the server.

Based on the foregoing, in some embodiments of the present application, before obtaining the distance between the other vehicle and the area where the road surface obstacle is located, the second calculation module is further configured to: generating a confirmation request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information; sending the confirmation request to a server so that the server acquires the identification information of the other vehicles positioned in a preset range behind the target vehicle according to the identification information of the target vehicle; receiving the identification information of the other vehicle transmitted by the server.

Based on the foregoing, in some embodiments of the present application, the second calculation module is configured to: acquiring position identification information of the other vehicles according to the identification information of the other vehicles; and calculating the distance between the other vehicle and the area where the road surface obstacle is located according to the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located.

Based on the foregoing solutions, in some embodiments of the present application, the processing module is further configured to: and correcting the first driving risk value according to the sum of the second probabilities of the other vehicles to obtain a second driving risk value used for early warning of the target vehicle.

Based on the foregoing, in some embodiments of the present application, the processing module is configured to: and performing corresponding early warning processing based on a threshold interval in which the second driving risk value is located, wherein the importance level of the early warning processing is in positive correlation with the second driving risk value represented by the threshold interval.

Based on the foregoing solutions, in some embodiments of the present application, the processing module is further configured to: acquiring position identification information of the target vehicle in real time; determining the distance between the target vehicle and the area where the road surface obstacle is located according to the position identification information of the target vehicle; and if the distance between the target vehicle and the area where the road surface obstacle is located is increased, determining that the target vehicle is driving away from the area where the road surface obstacle is located.

Based on the foregoing, in some embodiments of the present application, the processing module is configured to: and if the distance between the target vehicle and the area where the road surface obstacle is located is smaller than or equal to a preset threshold value, early warning is carried out on the target vehicle.

According to an aspect of the embodiments of the present application, there is provided a computer readable medium, on which a computer program is stored, the computer program, when executed by a processor, implements the method for warning of driving risk of a vehicle as described in the above embodiments.

According to an aspect of an embodiment of the present application, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of warning of a risk of driving a vehicle as described in the above embodiments.

According to the technical scheme provided by some embodiments of the application, a first driving risk value of a target vehicle is calculated according to driving parameters of the target vehicle, a first probability of traffic accidents of a road where the target vehicle is located due to a road surface obstacle is obtained, a second probability that other vehicles located in a preset range behind the target vehicle are influenced by the road surface obstacle to drive is calculated according to the first probability, and if the sum of the second probabilities of the other vehicles is larger than or equal to the first driving risk value, when the target vehicle drives away from an area where the road surface obstacle is located, early warning is carried out on the target vehicle. Therefore, when the target vehicle drives away from the dangerous road section where the road surface barrier is located, whether the target vehicle is subjected to early warning or not is determined according to the second probability that other vehicles behind the target vehicle influence driving due to the road surface barrier, the driving condition of other vehicles can be prevented from being ignored due to the fact that the driver of the target vehicle is relaxed mentally when driving away from the dangerous road section, the attention degree of the driver to the dangerous road section is improved, and the early warning effect is further guaranteed.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

FIG. 1 shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;

FIG. 2 shows a flow chart of a method of warning of a risk of driving a vehicle according to one embodiment of the present application;

FIG. 3 shows a schematic flow chart of step S230 of the early warning method of vehicle driving risk of FIG. 2 according to one embodiment of the present application;

FIG. 4 shows a flowchart of step S310 in the warning method of vehicle driving risk of FIG. 3 according to one embodiment of the present application;

fig. 5 shows a schematic flow chart of the confirmation of other vehicles, which is further included in the warning method for the driving risk of the vehicle according to an embodiment of the present application;

FIG. 6 shows a flowchart of step S310 in the warning method of vehicle driving risk of FIG. 3 according to one embodiment of the present application;

fig. 7 is a flowchart illustrating a process of determining a driving direction of a target vehicle, which is further included in the warning method of a risk of driving a vehicle according to an embodiment of the present application;

FIG. 8 shows a flow diagram of a method of warning of vehicle driving risk according to an embodiment of the present application;

fig. 9 shows a block diagram of a warning device of a risk of driving a vehicle according to an embodiment of the present application;

FIG. 10 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied.

As shown in fig. 1, the system architecture may include a vehicle-mounted terminal 110 and a server 120, with the vehicle-mounted terminal 110 and the server 120 being connected by a network, it being understood that the network may include a variety of connection types, such as wired communication links, wireless communication links, and so forth.

It should be understood that the number of in-vehicle terminals and servers in fig. 1 is merely illustrative. There may be any number of in-vehicle terminals and servers, as desired for implementation. For example, the server 120 may be a server cluster composed of a plurality of servers, the vehicle-mounted terminal 110 may be all vehicles traveling on a road, and the like.

In an embodiment of the application, when the target vehicle travels, the vehicle-mounted terminal 110 may calculate a first driving risk value of the target vehicle according to a travel parameter of the target vehicle, obtain a first probability of a traffic accident occurring on a road where the target vehicle is located due to a road surface obstacle, calculate a second probability that another vehicle located within a predetermined range behind the target vehicle is influenced by the road surface obstacle to travel according to the first probability, and if a sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, warn the target vehicle when the target vehicle travels away from an area where the road surface obstacle is located.

It should be noted that the method for warning a vehicle driving risk provided in the embodiment of the present application is generally executed by the vehicle-mounted terminal 110, and accordingly, the warning device for a vehicle driving risk is generally disposed in the vehicle-mounted terminal 110. However, in other embodiments of the present application, the server 120 may also have a similar function as the vehicle-mounted terminal 110, so as to implement the solution of the method for warning the driving risk of the vehicle provided in the embodiments of the present application.

In an embodiment of the application, the server 120 may obtain the driving parameter of the target vehicle through the vehicle-mounted terminal 110, calculate a first driving risk value of the target vehicle according to the driving parameter of the target vehicle, obtain a first probability of a traffic accident occurring on a road where the target vehicle is located due to a road surface obstacle, calculate a second probability that another vehicle located within a predetermined range behind the target vehicle is influenced by the road surface obstacle to drive according to the first probability, and warn the target vehicle when the target vehicle drives away from an area where the road surface obstacle is located if a sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value.

The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:

fig. 2 shows a flow chart of a method of warning of a driving risk of a vehicle according to an embodiment of the present application. Referring to fig. 2, the method for warning a driving risk of a vehicle at least includes steps S210 to S240, which are described in detail as follows:

in step S210, a first driving risk value of a target vehicle is calculated according to a driving parameter of the target vehicle.

The driving parameter may be parameter information related to driving of the vehicle, which may be used to describe a vehicle state and an environment in which the vehicle is driven. For example, the driving parameters may include, but are not limited to, mass of the vehicle, driving speed, location information, road camber, road grade, road surface viscosity, and road coefficient of friction, among others. According to the running parameters of the target vehicle, the current running state and the environment of the vehicle can be known.

The first driving risk value may be a numerical value describing a current driving risk of the target vehicle. According to the current running parameters of the target vehicle, the first driving risk value of the target vehicle under the current running state and the environment can be correspondingly calculated.

In one embodiment of the present application, the in-vehicle terminal configured on the target vehicle may obtain the driving parameters of the target vehicle according to a device configured on the target vehicle, for example, may obtain a current driving speed of the target vehicle through a speed sensor, may obtain position information of the target vehicle through a GPS (Global Positioning System) locator, may obtain a road curvature and a road gradient of a road where the target vehicle is located through capturing images of a road in front of the target vehicle by a camera configured in the target vehicle and performing image processing, and the like. The vehicle-mounted terminal may also communicate with a third-party organization to acquire information related to the environment where the target vehicle is located, for example, may communicate with a meteorological department to acquire visibility of a road where the target vehicle is located, road viscosity, and the like.

In an embodiment of the application, different weights may be configured in advance for different types of driving parameters according to the driving parameters of the target vehicle acquired by the vehicle-mounted terminal, and a weighting calculation may be performed according to the driving parameters of the target vehicle and the weights corresponding to the driving parameters of each type, so as to obtain a first driving risk value of the target vehicle.

It should be noted that, those skilled in the art may also calculate the first driving risk value of the target vehicle by using other existing driving risk calculation models according to actual implementation needs, and this application is not limited to this.

In step S220, a first probability of a traffic accident occurring on a road where the target vehicle is located due to a road surface obstacle is obtained.

Among them, the road surface obstacle may be an object that exists on a road and interferes with the traveling of the vehicle. For example, the road surface obstacle may be rockfall from a mountain, equipment for road construction, or the like.

In one embodiment of the application, the vehicle-mounted terminal can be connected with a public platform of a traffic management department to acquire a first probability of a traffic accident caused by a road obstacle on a road where a target vehicle is located. Specifically, the vehicle-mounted terminal may send road information (e.g., a road name, etc.) of a road on which the target vehicle is located to a public platform of a traffic management department, and the platform may obtain a first probability of a traffic accident occurring on the road on which the target vehicle is located due to a road surface obstacle according to the received road information, and feed back the first probability to the vehicle-mounted terminal.

In an embodiment of the application, the vehicle-mounted terminal may also be connected to a public platform of a traffic management department to obtain historical traffic accident information of a road where the target vehicle is located, for example, the historical traffic accident information may include information such as the number of historical traffic accidents of the road, the reason of the traffic accident, and the like, and calculate, according to the historical traffic accident information, a first probability that the road where the target vehicle is located has a traffic accident due to a road surface obstacle by using an existing traffic accident rate calculation method.

In step S230, a second probability that another vehicle located within a predetermined range behind the target vehicle is influenced by the road surface obstacle to travel is calculated based on the first probability.

Wherein the predetermined range may be a threshold value pre-configured by a person skilled in the art to define a range of distances that may affect other vehicles driven by the target vehicle. For example, the predetermined range may be 50 meters, 100 meters, 200 meters, etc., which are merely exemplary and are not limited in this application.

In an embodiment of the present application, a person skilled in the art may also set different predetermined ranges according to different types of road surface obstacles, for example, the predetermined range may be set to be 100 meters for rockfall, the predetermined range may be set to be 50 meters for equipment for road construction, and the like, and the person skilled in the art may configure the road surface obstacle according to actual needs, which is not particularly limited in the present application.

In this embodiment, according to the first probability that the road on which the target vehicle is located has a traffic accident due to the road surface obstacle, the second probability that other vehicles located within a predetermined range behind the target vehicle are influenced by the road surface obstacle to travel can be calculated. It should be noted that the influence of the other vehicle by the road surface obstacle may be a traffic accident in which the other vehicle is involved in the road surface obstacle, or may be a case in which the other vehicle encounters an irregular driving behavior (for example, acceleration or sudden change of the driving direction) due to avoidance of the road surface obstacle.

It should be understood that the farther the other vehicle is from the area where the road surface obstacle is located, the other vehicle may have sufficient time to adjust, and the lower the possibility that the other vehicle will be influenced by the road surface obstacle to travel, and therefore, the distance between the other vehicle and the area where the road surface obstacle is located has a negative correlation with the second probability that the other vehicle will travel due to the influence of the road surface obstacle, that is, the farther the distance between the other vehicle and the area where the road surface obstacle is located, the lower the second probability that the other vehicle will travel due to the influence of the road surface obstacle.

In step S240, if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, the target vehicle is warned when the target vehicle drives away from the area where the road surface obstacle is located.

In this embodiment, it should be understood that the number of other vehicles located behind the target vehicle and within the predetermined range may be none (i.e., no other vehicles within the predetermined range behind the target vehicle), or may be any number of one or more than one.

It should be noted that, if one of the other vehicles affects the traveling due to a road obstacle, a certain risk is posed to the traveling safety of the target vehicle. Therefore, the second probabilities of all the other vehicles may be added to obtain the sum of the second probabilities of the other vehicles, that is, the probability that at least one of the other vehicles is influenced by the road surface obstacle to travel.

Therefore, the sum of the second probabilities of the other vehicles is compared with the first driving risk value of the target vehicle, and if the sum of the second probabilities is greater than or equal to the first driving risk value of the target vehicle, it is indicated that the driving safety of the target vehicle is threatened due to the fact that the driving of the other vehicles is influenced by the road surface barrier, and therefore early warning needs to be carried out on the target vehicle, so that the attention degree of drivers on the target vehicle to the area where the road surface barrier is located, namely the dangerous road section, is improved, and the early warning effect is further ensured.

In the embodiment shown in fig. 2, a first driving risk value of a target vehicle is calculated according to a driving parameter of the target vehicle, a first probability of a traffic accident occurring on a road where the target vehicle is located due to a road surface obstacle is obtained, a second probability that other vehicles located within a predetermined range behind the target vehicle are influenced by the road surface obstacle to drive is calculated according to the first probability, and if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, when the target vehicle drives away from an area where the road surface obstacle is located, the target vehicle is warned. Therefore, when the target vehicle drives away from the dangerous road section where the road surface barrier is located, whether the target vehicle is subjected to early warning or not is determined according to the second probability that other vehicles behind the target vehicle influence driving due to the road surface barrier, the driving condition of other vehicles can be prevented from being ignored due to the fact that the driver of the target vehicle is relaxed mentally when driving away from the dangerous road section, the attention degree of the driver of the target vehicle to the dangerous road section is improved, and the early warning effect is further guaranteed.

According to the embodiment shown in fig. 2, fig. 3 is a schematic flow chart of step S230 in the warning method for vehicle driving risk of fig. 2 according to an embodiment of the present application. Referring to fig. 3, step S230 at least includes steps S310 to S320, which are described in detail as follows:

in step S310, a distance between the other vehicle and the area where the road surface obstacle is located is acquired.

In this fact example, the in-vehicle terminal may calculate the distance between the other vehicle and the area where the road surface obstacle is located, by using the position information of the other vehicle and the position information of the area where the road surface obstacle is located.

The area where the road surface obstacle is located may be an area where the road surface obstacle is actually present (for example, a road section in road construction), or may be an area where the road surface obstacle is likely to appear (for example, a road section where mountain landslide is likely to appear). Namely, the road surface obstacle does not really exist, and the driving risk of the vehicle can be predicted by adopting the early warning method for the driving risk of the vehicle provided by the application.

In an example, the distance between the other vehicle and the area where the road surface obstacle is located may be a distance between the other vehicle and a center point of the area where the road surface obstacle is located, that is, the distance between the other vehicle and the area where the road surface obstacle is located may be calculated by using the position information of the other vehicle and the position information of the center point of the area where the road surface obstacle is located.

In another example, the distance between the other vehicle and the area where the road surface obstacle is located may also be the distance between the other vehicle and the boundary of the road surface obstacle, that is, the distance between the other vehicle and the area where the road surface obstacle is located may be calculated by using the position information of the other vehicle and the position information of the boundary of the area where the road surface obstacle is located. It should be understood that when calculating the distance between the other vehicle and the boundary of the area where the road surface obstacle is located, the boundary that is closer to the other vehicle should be selected for calculation. And if the other vehicles are in the area of the road surface obstacle, the distance between the two vehicles is zero.

Those skilled in the art can select a corresponding calculation method to calculate the distance between the other vehicle and the area where the road surface obstacle is located according to actual implementation requirements, which is not particularly limited in the present application.

In step S320, the second probability that the other vehicle is influenced by the road surface obstacle to travel is calculated based on the distance and the first probability.

In this embodiment, the second probability that the other vehicle is influenced by the road surface obstacle to travel may be calculated according to the distance between the other vehicle and the area where the road surface obstacle is located and the first probability that the road where the target vehicle is located has a traffic accident due to the road surface obstacle. It should be noted that the larger the distance between the other vehicle and the area where the road surface obstacle is located, the smaller the second probability that the other vehicle is influenced by the road surface obstacle to travel.

In one embodiment of the present application, it is assumed that the road on which the target vehicle is located is due to a road surface obstacleThe first probability of the traffic accident is P, the distance between other vehicles and the area where the road surface obstacle is located is r, and the second probability that the other vehicles are influenced by the road surface obstacle to run is

Where k is a constant. Therefore, the second probability that other vehicles are influenced by the road surface obstacle to run can be rapidly calculated, and the early warning efficiency is improved.

In the embodiment shown in fig. 3, the distance between the other vehicle and the area where the road surface obstacle is located is obtained, and the second probability that the other vehicle is influenced by the road surface obstacle to travel is calculated according to the distance and the first probability, so that the calculation of the second probability can be closer to the actual situation, and the accuracy of subsequent early warning is ensured.

According to the embodiments shown in fig. 2 and 3, fig. 4 is a schematic flowchart illustrating step S310 in the warning method for vehicle driving risk of fig. 3 according to an embodiment of the present application. Referring to fig. 4, step S310 at least includes steps S410 to S430, which are described in detail as follows:

in step S410, a distance request to the other vehicle is generated according to the identification information of the target vehicle, where the identification information includes identity identification information and location identification information;

the identification information may be information corresponding to the vehicle, which may be used to represent a specific identity of the vehicle. For example, the identification information may include, but is not limited to, identification information of the vehicle (e.g., license plate number, serial number, etc.) and location identification information of the vehicle (e.g., location information of the vehicle, etc.), etc. It should be appreciated that the identity of the target vehicle may then be uniquely determined based on the identification information of the target vehicle.

The distance request to the other vehicle may be information for requesting a distance between the other vehicle and an area where the road surface obstacle is located.

In this embodiment, when the target vehicle is driving away from the area where the road obstacle is located, the in-vehicle terminal may generate a distance request for another vehicle according to the identification information of the target vehicle, where the distance request may include the identification information of the target vehicle.

In step S420, a distance request for the other vehicle is sent to a server, so that the server calculates a distance between the other vehicle and an area where the road surface obstacle is located according to the identification information of the target vehicle.

In this embodiment, the in-vehicle terminal may transmit a distance request for another vehicle to the server, and the server may acquire identification information of the target vehicle from the distance request and compare the position identification information of the target vehicle with position identification information of vehicles around the target vehicle to determine another vehicle within a predetermined range behind the target vehicle. And calculating according to the determined position information of the other vehicles and the position information of the area where the road surface obstacle is located to obtain the distance between the other vehicles and the area where the road surface obstacle is located.

In step S430, the distance between the other vehicle and the area where the road surface obstacle is located, which is transmitted by the server, is received.

In this embodiment, after the server completes the calculation, the calculated distance between the other vehicle and the area where the road surface obstacle is located may be fed back to the in-vehicle terminal of the target vehicle. The vehicle-mounted terminal can receive and store the distance between other vehicles and the area where the road surface barrier is located for subsequent calculation.

In the embodiment shown in fig. 4, the distance request for the other vehicle is sent to the server, so that the server calculates the distance between the other vehicle and the area where the road surface obstacle is located according to the identification information of the target vehicle and feeds back the distance, and the distance between the other vehicle and the area where the road surface obstacle is located can be quickly obtained, so that the early warning efficiency is improved.

According to the embodiments shown in fig. 2 and 3, fig. 5 is a schematic flow chart illustrating that other vehicles are confirmed in the early warning method for vehicle driving risk according to an embodiment of the present application. Referring to fig. 5, the confirmation of other vehicles includes at least steps S510 to S530, which are described in detail as follows:

in step S510, a confirmation request for the other vehicle is generated according to the identification information of the target vehicle, where the identification information includes identity identification information and location identification information.

The confirmation request for the other vehicle may be information for requesting identification information of the other vehicle located within a predetermined range behind the target vehicle to confirm the identity of the other vehicle from the identification information of the other vehicle.

In this embodiment, when the target vehicle is driving away from the area where the road obstacle is located, the vehicle-mounted terminal of the target vehicle may generate a confirmation request for another vehicle according to the identification information of the target vehicle, where the confirmation request may include the identification information of the target vehicle.

In step S520, the confirmation request is sent to a server, so that the server obtains the identification information of the other vehicles located in a predetermined range behind the target vehicle according to the identification information of the target vehicle.

In this embodiment, the in-vehicle terminal may transmit a confirmation request for the other vehicle to the server, and the server may acquire the identification information of the target vehicle from the confirmation request after receiving the confirmation request for the other vehicle, and compare the location identification information of the target vehicle with the location identification information of vehicles around the target vehicle to determine the other vehicle located within a predetermined range behind the target vehicle, and correspondingly acquire the identification information of the other vehicle.

In step S530, the identification information of the other vehicle transmitted by the server is received.

In this embodiment, after the server acquires the identification information of the other vehicle, the identification information of the other vehicle may be fed back to the vehicle-mounted terminal of the target vehicle, and the vehicle-mounted terminal may receive and store the identification information of the other vehicle for subsequent calculation.

In the embodiment shown in fig. 5, the vehicle-mounted terminal sends a confirmation request to the server for the other vehicle, and can quickly acquire the identification information of the other vehicle to determine the identity of the other vehicle, thereby improving the calculation efficiency of the second probability that the other vehicle is influenced by the road surface obstacle to travel.

According to the embodiments shown in fig. 2, 3 and 5, fig. 6 is a schematic flow chart illustrating step S310 in the vehicle driving risk early warning method of fig. 3 according to an embodiment of the present application. Referring to fig. 6, step S310 at least includes steps S610 to S620, and is described in detail as follows:

in step S610, the position identification information of the other vehicle is acquired according to the identification information of the other vehicle.

In this embodiment, the in-vehicle terminal may obtain, from the received identification information of the other vehicle, location identification information of the other vehicle from the identification information, where the location identification information may be used to indicate a specific location of the other vehicle, and for example, the location identification information may be GPS positioning information of the other vehicle.

In step S620, a distance between the other vehicle and the area where the road surface obstacle is located is calculated based on the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located.

In this embodiment, the in-vehicle terminal may calculate the distance between the other vehicle and the area where the road surface obstacle is located, based on the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located (for example, GPS coordinate information of a center point of the area where the road surface obstacle is located, or GPS coordinate information of a boundary of the area where the road surface obstacle is located, which is closer to the other vehicle).

In an embodiment of the application, the vehicle-mounted terminal may calculate the distance between the other vehicle and the area where the road surface obstacle is located according to the related information of the road where the target vehicle is located, such as the road curvature, the road gradient, and the like, in combination with the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located, so as to improve the accuracy of distance calculation, and make the distance calculation between the other vehicle and the area where the road surface obstacle is located more practical.

In the embodiment shown in fig. 6, the position identification information of the other vehicle is obtained from the identification information of the other vehicle received by the vehicle-mounted terminal, and the distance between the other vehicle and the area where the road surface obstacle is located is calculated according to the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located, so that the accuracy of calculating the distance between the other vehicle and the area where the road surface obstacle is located can be improved, and the accuracy of subsequent early warning is further ensured.

According to the embodiment shown in fig. 2, in one embodiment of the present application, the method for warning the driving risk of the vehicle further includes:

and correcting the first driving risk value according to the sum of the second probabilities of the other vehicles to obtain a second driving risk value used for early warning of the target vehicle.

In this embodiment, since the other vehicles are influenced by the road surface obstacle to run and may cause a risk to the running safety of the target vehicle, the first driving risk value of the target vehicle may be corrected according to the sum of the second probabilities of the other vehicles to obtain a corrected second driving risk value, so that the accuracy of calculation of the driving risk value is improved, and the target vehicle is warned according to the second driving risk value, so that the warning accuracy may be improved, and the occurrence of false warning or missed warning may be avoided.

In an embodiment of the application, the first driving risk value of the target vehicle may be multiplied by the sum of the second probabilities of the other vehicles to correct the first driving risk value, so as to obtain a second driving risk value for early warning of the target vehicle for early warning.

According to the above embodiment, the early warning of the target vehicle in the vehicle driving risk early warning method of fig. 2 includes:

and performing corresponding early warning processing based on a threshold interval in which the second driving risk value is located, wherein the importance level of the early warning processing is in positive correlation with the second driving risk value represented by the threshold interval.

It should be appreciated that the higher the second driving risk value of the target vehicle, the greater the level of emphasis the driver should place on. Therefore, a person skilled in the art may preset a corresponding driving risk threshold, compare the second driving risk value with each driving risk threshold, and obtain a threshold interval where the second driving risk value is located to select a corresponding early warning policy, for example, may select an early warning manner such as displaying early warning information through a display device of the vehicle-mounted terminal to perform early warning, performing early warning through an alarm, or performing early warning through tightening a safety belt of a driver.

According to the embodiment shown in fig. 2, fig. 7 is a schematic flow chart for determining the driving direction of the target vehicle, which is further included in the warning method for the driving risk of the vehicle according to an embodiment of the present application. Referring to fig. 7, determining the traveling direction of the target vehicle includes at least steps S710 to S730, and is described in detail as follows:

in step S710, the position identification information of the target vehicle is acquired in real time.

In this embodiment, the vehicle-mounted terminal may obtain the location identification information of the target vehicle in real time according to the GPS locator of the target vehicle, so as to determine the specific location of the target vehicle during the driving process.

In step S720, a distance between the target vehicle and the area where the road surface obstacle is located is determined according to the position identification information of the target vehicle.

In this embodiment, according to the position identification information of the target vehicle and the position information of the area where the road surface obstacle is located, the distance between the target vehicle and the area where the road surface obstacle is located may be calculated, and a trend of a change in the distance between the target vehicle and the area where the road surface obstacle is located may be obtained, for example, the distance between the target vehicle and the area where the road surface obstacle is located is increased or decreased, so as to determine the traveling direction of the target vehicle, that is, the target vehicle is traveling toward the area where the road surface obstacle is located or the target vehicle is traveling away from the area where the road surface obstacle is located.

In step S730, if the distance between the target vehicle and the area where the road surface obstacle is located increases, it is determined that the target vehicle is driving away from the area where the road surface obstacle is located.

In this embodiment, according to the position identification information of the target vehicle obtained in real time, the distance between the target vehicle and the area where the road surface obstacle is located may be calculated in real time, and if the distance between the target vehicle and the area where the road surface obstacle is located gradually increases, it indicates that the target vehicle is driving away from the area where the road surface obstacle is located, so as to determine the driving direction of the target vehicle.

In the embodiment shown in fig. 7, the position identification information of the target vehicle is obtained in real time, the distance between the target vehicle and the area where the road surface obstacle is located is calculated in real time, and if the distance between the target vehicle and the area where the road surface obstacle is located is increased, it indicates that the target vehicle is driving away from the area where the road surface obstacle is located, so that the driving direction of the target vehicle can be accurately determined.

Based on the embodiments shown in fig. 2 and fig. 7, in an embodiment of the present application, the early warning of the target vehicle includes:

and if the distance between the target vehicle and the area where the road surface obstacle is located is smaller than or equal to a preset threshold value, early warning is carried out on the target vehicle.

The predetermined threshold may be a threshold configured in advance to determine an influence range of the area where the road surface obstacle is located on the target vehicle. For example, the predetermined threshold may be 100 meters, 200 meters, 300 meters, etc., which are merely exemplary and are not limited in this application.

It should be understood that the risk of the target vehicle from the area of the road surface obstacle is reduced as the distance between the target vehicle and the area of the road surface obstacle is increased. Therefore, the influence range of the area where the road surface obstacle is present on the target vehicle can be determined by setting the predetermined threshold value. If the distance between the target vehicle and the area where the road surface obstacle is located is larger than the preset threshold value, the risk of the area where the road surface obstacle is located to the target vehicle can be ignored, and then the condition of error early warning can be avoided, so that the driving experience of a driver is improved.

Based on the technical solution of the above embodiment, a specific application scenario of the embodiment of the present application is introduced as follows:

fig. 8 shows a flow diagram of a method for warning of driving risk of a vehicle according to an embodiment of the present application. Referring to fig. 8, the method for warning the driving risk of the vehicle at least includes steps S810 to S850, which are described in detail as follows:

in step S810, a first driving risk value of a target vehicle is calculated according to a driving parameter of the target vehicle.

In step S820, a first probability of a traffic accident occurring on a road where the target vehicle is located due to a road surface obstacle is obtained.

In step S830, a second probability that another vehicle located within a predetermined range behind the target vehicle is influenced by the road surface obstacle to travel is calculated based on the first probability.

In step S840, if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value, the first driving risk value is corrected according to the sum of the second probabilities of the other vehicles, so as to obtain a second driving risk value used by the target vehicle for early warning.

In step S850, when the target vehicle drives away from the area where the road surface obstacle is located, an early warning is performed on the target vehicle according to the second driving risk value.

In the embodiment shown in fig. 8, when the target vehicle is driven away from the area where the road surface obstacle is located, the first driving risk value of the target vehicle is corrected according to the sum of the second probabilities of the other vehicles to obtain the second driving risk value of the target vehicle, and the target vehicle is warned according to the second driving risk value. Therefore, when the target vehicle drives away from the area where the road surface obstacle is located, risks caused by other vehicles in a preset range behind the target vehicle to the target vehicle can be considered, early warning is carried out on the target vehicle, the attention degree of a driver of the target vehicle to the road surface obstacle can be improved, the condition of missed early warning or wrong early warning is avoided, and the early warning effect is guaranteed.

The following describes embodiments of the apparatus of the present application, which may be used to implement the method for warning the driving risk of a vehicle in the above embodiments of the present application. For details that are not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method for warning the driving risk of a vehicle described above.

Fig. 9 shows a block diagram of a vehicle driving risk early warning device according to an embodiment of the present application.

Referring to fig. 9, a warning apparatus for a risk of driving a vehicle according to an embodiment of the present application includes:

a first calculation module 910, configured to calculate a first driving risk value of a target vehicle according to a driving parameter of the target vehicle;

an obtaining module 920, configured to obtain a first probability that a road where the target vehicle is located has a traffic accident due to a road surface obstacle;

a second calculating module 930, configured to calculate, according to the first probability, a second probability that another vehicle located in a predetermined range behind the target vehicle is influenced by the road surface obstacle to travel;

a processing module 940, configured to perform early warning on the target vehicle when the target vehicle drives away from the area where the road surface obstacle is located if the sum of the second probabilities of the other vehicles is greater than or equal to the first driving risk value.

Based on the foregoing, in some embodiments of the present application, the second computing module 930 is configured to: acquiring the distance between the other vehicles and the area where the road surface obstacle is located; and calculating the second probability that the other vehicle is influenced by the road surface obstacle to travel according to the distance and the first probability.

Based on the foregoing, in some embodiments of the present application, the second computing module 930 is configured to: generating a distance request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information; sending a distance request for the other vehicle to a server so that the server calculates the distance between the other vehicle and the area where the road surface obstacle is located according to the identification information of the target vehicle; receiving the distance between the other vehicle and the area where the road surface obstacle is located, which is sent by the server.

Based on the foregoing, in some embodiments of the present application, before obtaining the distance between the other vehicle and the area where the road surface obstacle is located, the second calculation module 930 is further configured to: generating a confirmation request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information; sending the confirmation request to a server so that the server acquires the identification information of the other vehicles positioned in a preset range behind the target vehicle according to the identification information of the target vehicle; receiving the identification information of the other vehicle transmitted by the server.

Based on the foregoing, in some embodiments of the present application, the second computing module 930 is configured to: acquiring position identification information of the other vehicles according to the identification information of the other vehicles; and calculating the distance between the other vehicle and the area where the road surface obstacle is located according to the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located.

Based on the foregoing solutions, in some embodiments of the present application, the processing module 940 is further configured to: and correcting the first driving risk value according to the sum of the second probabilities of the other vehicles to obtain a second driving risk value used for early warning of the target vehicle.

Based on the foregoing, in some embodiments of the present application, the processing module 940 is configured to: and performing corresponding early warning processing based on a threshold interval in which the second driving risk value is located, wherein the importance level of the early warning processing is in positive correlation with the second driving risk value represented by the threshold interval.

Based on the foregoing solutions, in some embodiments of the present application, the processing module 940 is further configured to: acquiring position identification information of the target vehicle in real time; determining the distance between the target vehicle and the area where the road surface obstacle is located according to the position identification information of the target vehicle; and if the distance between the target vehicle and the area where the road surface obstacle is located is increased, determining that the target vehicle is driving away from the area where the road surface obstacle is located.

Based on the foregoing, in some embodiments of the present application, the processing module 940 is configured to: and if the distance between the target vehicle and the area where the road surface obstacle is located is smaller than or equal to a preset threshold value, early warning is carried out on the target vehicle.

It should be noted that the computer system of the electronic device shown in fig. 10 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 10, the computer system includes a Central Processing Unit (CPU)1001, which can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1002 or a program loaded from a storage portion 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for system operation are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other via a bus 1004. An Input/Output (I/O) interface 1005 is also connected to the bus 1004.

The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output section 1007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 1008 including a hard disk and the like; and a communication section 1009 including a network interface card such as a LAN (Local area network) card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The driver 1010 is also connected to the I/O interface 1005 as necessary. A removable medium 1011 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1010 as necessary, so that a computer program read out therefrom is mounted into the storage section 1008 as necessary.

In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication part 1009 and/or installed from the removable medium 1011. When the computer program is executed by a Central Processing Unit (CPU)1001, various functions defined in the system of the present application are executed.

It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A method for early warning of driving risks of a vehicle is characterized by comprising the following steps:

2. The warning method according to claim 1, wherein calculating, based on the first probability, a second probability that another vehicle located within a predetermined range behind the target vehicle is influenced by the road surface obstacle to travel includes:

acquiring the distance between the other vehicles and the area where the road surface obstacle is located;

and calculating the second probability that the other vehicle is influenced by the road surface obstacle to travel according to the distance and the first probability.

3. The warning method according to claim 2, wherein obtaining the distance between the other vehicle and the area where the road surface obstacle is located comprises:

generating a distance request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information;

sending a distance request for the other vehicle to a server so that the server calculates the distance between the other vehicle and the area where the road surface obstacle is located according to the identification information of the target vehicle;

receiving the distance between the other vehicle and the area where the road surface obstacle is located, which is sent by the server.

4. The warning method according to claim 2, wherein before the distance between the other vehicle and the area where the road surface obstacle is located is acquired, the warning method further comprises:

generating a confirmation request for the other vehicles according to the identification information of the target vehicle, wherein the identification information comprises identity identification information and position identification information;

sending the confirmation request to a server so that the server acquires the identification information of the other vehicles positioned in a preset range behind the target vehicle according to the identification information of the target vehicle;

receiving the identification information of the other vehicle transmitted by the server.

5. The warning method according to claim 4, wherein the step of obtaining the distance between the other vehicle and the area where the road surface obstacle is located comprises:

acquiring position identification information of the other vehicles according to the identification information of the other vehicles;

and calculating the distance between the other vehicle and the area where the road surface obstacle is located according to the position identification information of the other vehicle and the position information of the area where the road surface obstacle is located.

6. The warning method of claim 1, further comprising:

7. The warning method of claim 6, wherein warning the target vehicle comprises:

8. The warning method of claim 1, further comprising:

acquiring position identification information of the target vehicle in real time;

determining the distance between the target vehicle and the area where the road surface obstacle is located according to the position identification information of the target vehicle;

and if the distance between the target vehicle and the area where the road surface obstacle is located is increased, determining that the target vehicle is driving away from the area where the road surface obstacle is located.

9. The warning method of claim 8, wherein warning the target vehicle comprises:

10. A warning device for vehicle driving risk, comprising: