CN113823120A - Vehicle danger early warning method and related device - Google Patents
Vehicle danger early warning method and related device Download PDFInfo
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- CN113823120A CN113823120A CN202110949098.5A CN202110949098A CN113823120A CN 113823120 A CN113823120 A CN 113823120A CN 202110949098 A CN202110949098 A CN 202110949098A CN 113823120 A CN113823120 A CN 113823120A
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- 206010039203 Road traffic accident Diseases 0.000 claims description 19
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- 238000012544 monitoring process Methods 0.000 description 9
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- 239000000284 extract Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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Abstract
The embodiment of the application discloses a vehicle danger early warning method which is used for achieving the purpose of early warning before an accident happens. The method in the embodiment of the application comprises the following steps: receiving an environment image sent by a target vehicle, wherein the environment image comprises surrounding vehicle information; extracting vehicle identification information in the surrounding vehicle information; inquiring historical violation records of corresponding vehicles in a road traffic information database according to the vehicle identification information; determining a risk vehicle and a corresponding risk grade according to the query result; and sending a corresponding operation instruction to the target vehicle according to the risk level label.
Description
Technical Field
The embodiment of the application relates to the field of data processing, in particular to a vehicle danger early warning method and a related device.
Background
For the present society, automobiles have gradually become a preferred travel tool for the general public. With the popularization of modern vehicles, the rapid increase of traffic volume, the difference of vehicles and road grades and the like, traffic accidents are frequent, and the important function of preventing illegal driving of automobiles is easily found in spite of the causes of various traffic accidents in the reason of various roads. Therefore, for vehicle safety, road monitoring systems are derived in the market for recording the violation of the vehicle during driving.
Once the automobile breaks rules and rules, the road monitoring system starts a switch of the monitoring probe, the monitoring probe takes a picture of the automobile violation behavior and uploads the picture to a cloud platform at a traffic management department, so that the traffic management department takes the picture as a basis and carries out scoring and punishment on related automobile drivers according to the existing traffic regulations so as to fulfill the aim of punishing education on the drivers.
However, these measures only can provide a certain restraint to the illegal driving behavior, and cannot provide early warning before the accident occurs.
Disclosure of Invention
The embodiment of the application provides a vehicle danger early warning method and a related device, which are used for achieving the purpose of early warning before an accident happens.
The application provides a vehicle danger early warning method from a first aspect, comprising:
receiving an environment image sent by a target vehicle, wherein the environment image comprises surrounding vehicle information;
extracting vehicle identification information in the surrounding vehicle information;
inquiring historical violation records of corresponding vehicles in a road traffic information database according to the vehicle identification information;
determining a risk vehicle and a corresponding risk grade according to the query result;
and sending a corresponding operation prompt to the target vehicle according to the risk level.
Optionally, the determining the risk vehicle and the corresponding risk level according to the query result specifically includes:
determining that the vehicle corresponding to the vehicle identification with the historical violation record is a risk vehicle;
extracting characteristic values of violation records of the risk vehicles;
and determining the corresponding risk grade of the risky vehicle according to the characteristic value of the violation record.
Optionally, the feature value of the violation record includes a traffic penalty feature value, and the determining a risk level corresponding to the risky vehicle according to the feature value of the violation record specifically includes:
and determining the corresponding risk grade of the vehicle at risk according to the traffic penalty characteristic value.
Optionally, the feature value of the violation record includes a traffic accident loss value, and the determining the risk level of the risky vehicle according to the feature value of the violation record specifically includes:
and determining the corresponding risk grade of the vehicle at risk according to the traffic accident loss value.
Optionally, the feature value of the violation record includes a violation feature, and determining a risk level corresponding to the risky vehicle according to the feature value of the violation record specifically includes:
and determining the corresponding risk grade of the risky vehicle according to the violation behavior characteristics.
Optionally, the risk levels include a high risk level, a medium risk level, and a low risk level;
the sending of the corresponding operation instruction to the target vehicle according to the risk level specifically includes:
if the risk level is a high risk level, sending an operation instruction for avoiding the risk vehicle to the target vehicle;
if the risk level is a medium risk level, sending an operation instruction for paying attention to and being vigilant to the target vehicle;
and if the risk level is a low risk level, sending prompt information of the risk vehicle to the target vehicle.
The present application provides from a second aspect a vehicle hazard warning device comprising:
a first receiving unit configured to receive an environment image transmitted by a target vehicle, the environment image including surrounding vehicle information;
an information extraction unit configured to extract vehicle identification information in the nearby vehicle information;
the record query unit is used for querying the historical violation record of the corresponding vehicle in the road traffic information database according to the vehicle identification information;
the first determining unit is used for determining the risk vehicles and the corresponding risk grades according to the query results;
and the indication sending unit is used for sending corresponding operation indication to the target vehicle according to the risk level.
Optionally, the risk levels in the first determination unit include a high risk level, a medium risk level, and a low risk level;
the indication sending unit specifically includes:
the high risk indicating module is used for sending an operation instruction of avoiding the risk vehicle to the target vehicle when the risk level is the high risk level;
a medium risk indicating module for sending an operation indication of paying attention and being alert to the target vehicle when the risk level is a medium risk level;
and the low risk indicating module is used for sending indicating information of the risk vehicle to the target vehicle when the risk level is the low risk level.
Optionally, the first determining unit specifically includes:
the identification determining module is used for determining that the vehicle corresponding to the vehicle identification with the historical violation record is a risk vehicle;
the extraction module is used for extracting the characteristic value of the violation record of the risk vehicle;
and the grade determining module is used for determining the corresponding risk grade of the risk vehicle according to the characteristic value of the violation record.
Optionally, the feature value in the extraction module includes a traffic penalty feature value, and the level determination module specifically includes:
and the first risk grade confirming submodule is used for confirming the risk grade corresponding to the risk vehicle according to the traffic penalty characteristic value.
Optionally, the feature value in the extraction module includes a traffic accident loss value, and the level determination module specifically includes:
and the second risk grade confirmation submodule is used for determining the risk grade corresponding to the vehicle at risk according to the traffic accident loss value.
Optionally, the feature values in the extraction module include violation features, and the level determination module specifically includes:
and the third risk grade confirmation submodule is used for determining the risk grade corresponding to the risk vehicle according to the violation behavior characteristic.
The present application provides, in a third aspect, a server, the apparatus comprising:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory holds a program that the processor calls to perform the method of any one of claims 1 to 6.
The present application provides, in a fourth aspect, a computer readable storage medium having a program stored thereon, which when executed on a computer performs the method of any one of claims 1 to 6.
According to the technical scheme, the embodiment of the application has the following advantages:
according to the method and the device, under the condition that the vehicle runs, firstly, after the environment image sent by the vehicle is received, the vehicle identification information in the environment image is extracted and is input into the road traffic information database according to the identification information so as to obtain the historical violation record of the corresponding vehicle, then, the risk vehicle and the corresponding risk level can be determined according to the query result, and finally, the corresponding operation instruction is sent to the vehicle according to the risk level. Through the method, the driver of the running vehicle can be warned by identifying the vehicles around the running vehicle aiming at the vehicles with potential danger, and the purpose of early warning before accidents occurs is achieved.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of a vehicle risk early warning method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating another embodiment of a vehicle risk early warning method according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an embodiment of a vehicle danger early warning device in an embodiment of the present application;
FIG. 4 is a schematic structural diagram of another embodiment of a vehicle danger early warning device in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a vehicle danger early warning device in an embodiment of the present application.
Detailed Description
Traffic is a basic condition for maintaining the normal operation of the whole city, and in recent years, along with the rapid development of economy and the increasing demand of people for traffic and travel, the occurrence rate of traffic violation is increased while the road traffic is increasingly busy and the high-level growth of motor vehicles is promoted. For this reason, road monitoring systems have been derived from the market for recording the violation of the vehicle during driving.
Although the road monitoring systems are already put into use in most traffic areas along with the improvement of the road monitoring systems, the road monitoring systems can only record the behaviors of vehicles which cause illegal driving, and relevant departments can deduct points and pay penalties for corresponding drivers according to existing traffic regulations according to the records of the road monitoring systems. Although the penalties can cause certain driving regulation constraints on the driver, the penalties can only play a certain role in restraining illegal driving behaviors and cannot give early warning before accidents occur.
Based on the above, the application provides a vehicle danger early warning method and a related device, which are applied to a driver of the application, historical violation data of surrounding vehicles can be inquired by acquiring the historical violation data of the surrounding vehicles of the driver, and the corresponding risk grade of the surrounding vehicles is determined according to the inquiry result, so that the operation of performing early warning/not performing early warning on a driving system of the driver driving the vehicle is determined according to the risk grade, and the purpose of performing early warning before an accident occurs is achieved.
The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all 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.
Referring to fig. 1, in a first aspect, the present application provides a vehicle danger early warning method, where an execution subject of the method is a platform server, and the platform server can communicate and transmit data with a vehicle and a road traffic information database, and the method includes:
101. the platform server receives an environment image sent by the vehicle, wherein the environment image comprises surrounding vehicle information.
The server is an electronic device and has the capability of responding to the service request, supporting the service, and providing the support service. In the vehicle danger early warning method, the platform server needs to interact with a driving system assembled with the vehicle and a traffic violation information inquiry platform in three ways, so that inquiry and analysis processing of relevant information of vehicles around the user vehicle are realized, and a corresponding risk early warning function is started for the user vehicle according to an inquiry result and an analysis result. Therefore, it is necessary to acquire the environment image information of the user vehicle first.
Specifically, when the user drives the vehicle a on the road, the vehicle may acquire an environment image around the vehicle a, which includes road information, roadside information, and other surrounding vehicle information that is traveling on the same road as the vehicle a, using various image acquisition devices provided on the vehicle, such as a look-around camera, a forward-looking radar, a rear-of-vehicle radar, and the like. After the vehicle acquires the environmental information, the environmental information is processed at the vehicle-mounted terminal and then uploaded to the server, so that the server acquires the surrounding environmental information of the vehicle and then carries out further analysis processing.
102. The platform server extracts vehicle identification information in the surrounding vehicle information.
Specifically, after receiving an environment image sent by a user vehicle a, a platform server may first perform fuzzy recognition on vehicle identification information, such as license plate information, of surrounding vehicles, such as a vehicle B, a vehicle C, a vehicle D, and the like, according to the environment image, where the fuzzy recognition means that the platform server recognizes an image containing clear license plate information from a large number of acquired environment images, and rejects an irrelevant image uploaded to the platform server in a shooting process or an image containing unclear license plate information. The technique for recognizing image information referred to herein includes, but is not limited to, a blur recognition technique.
Furthermore, the identified image covering the clear license plate number information is respectively in one-to-one correspondence with the vehicle B, the vehicle C and the vehicle D, for example, the vehicle B and the license plate number information thereof can be divided into a first set, the vehicle C and the license plate number information thereof can be divided into a second set, the vehicle D and the license plate number information thereof can be divided into a third set, and then the sets are extracted.
103. And the platform server inquires the historical violation record of the corresponding vehicle in the road traffic information database according to the vehicle identification information.
In order to define the accident probability of the vehicle B, the vehicle C and the vehicle D, violation data can be analyzed, and then the accident occurrence rate of the corresponding vehicle is judged according to the result of analyzing the violation data, so that the historical violation record of the corresponding vehicle needs to be acquired.
Specifically, the platform server establishes a communication link with a road traffic information database capable of inquiring vehicle violation information, and vehicle identification information such as license plate number information is input into an inquiry window of the database, so that the database can search vehicle history violation records of corresponding vehicles in the database according to the vehicle identification information, derive the history violation records and feed the history violation records back to the platform server, and a subsequent platform server can determine a risk vehicle and a corresponding risk level according to the history violation records (inquiry results); optionally, when the road traffic information database does not search a corresponding vehicle history violation record in its own database according to the license plate number, a prompt or information notification that the license plate number has no history violation record may be fed back to the platform server.
104. And the platform server determines the risk vehicles and the corresponding risk grades according to the query results.
The risk level set by the platform server to define a measure of the potential severity of the risk for the user to drive the vehicle's surrounding vehicle has at least two manifestations, which may be represented by different colors or heights, such as: the method comprises the following steps of red, green and yellow, wherein the red represents a vehicle with high risk level and is determined as a vehicle needing to be avoided, the green represents a vehicle with low risk level and is determined as a temporary safe vehicle, and the yellow represents a vehicle with medium risk level and is determined as a vehicle which does not need to be avoided temporarily or whether a user needs to pay attention to and avoid by himself; it can also be represented by numbers or letters, such as: the risk levels are divided into 1 to 5 levels, the vehicles at the 4 or 5 levels are vehicles with high risk levels, the vehicles are determined to be vehicles needing to be avoided, the vehicles at other levels are vehicles with low risk levels, and the vehicles are determined to be temporary safety vehicles. The representation of the above risk level is not limited herein.
Specifically, the platform server receives the history violation records of the vehicle B and the vehicle D fed back by the road traffic information database and the notice that the vehicle C has no history violation record, at the moment, the platform server judges that the risk level of the vehicle C is 0 or green, determines that the vehicle C is a safe vehicle, and generates a corresponding risk level for the vehicle C; further, the historical violation data amount of the vehicle B exceeds the preset range of the platform server, and although the vehicle D has a historical violation record, the historical violation data amount is still within the preset range of the platform server, so that the platform server can determine that the risk level of the vehicle B is 5 or red, determine that the vehicle B is a vehicle which needs to be avoided, determine that the risk level of the vehicle D is 3 or yellow, and determine that the vehicle D is a vehicle which does not need to be avoided.
105. And the platform server sends corresponding operation instructions to the target vehicle according to the risk level.
Specifically, after the platform server determines that the vehicle B is a vehicle to be avoided, the vehicle C is a vehicle to be avoided, and the vehicle D is a vehicle not to be avoided according to the risk level of the vehicle, an early warning start instruction may be sent to the target driving system, so that the target driving system may send a voice prompt or display the vehicle to be avoided on a driving display screen, for example, send a prompt voice to a user sitting in the vehicle a: the vehicle with the license plate number B requires evasion, the vehicle with the license plate number C requires the driver to select whether the vehicle needs evasion by himself, and the vehicle with the license plate number D does not need evasion; displaying on a driving display screen: and the vehicle with the license plate number of B, C is early-warned, and the vehicle with the license plate number of D is safe. The above-mentioned expressions are not particularly limited.
In the embodiment of the application, when the target vehicle runs on the road, the risk vehicle and the corresponding risk level can be determined according to the inquiry result of the historical violation record of the surrounding vehicle by the platform server, and the driver is prompted to avoid the vehicle with a certain risk level according to the technical means of sending the corresponding operation instruction to the target vehicle according to the risk level of the vehicle, so that the early warning effect before the accident occurs is achieved.
Referring to fig. 2, in a first aspect, the present application provides another vehicle danger early warning method, where an execution subject of the method is a platform server, and the platform server can communicate and transmit data with a vehicle and a road traffic information database, and the method includes:
201. the platform server receives an environment image sent by the target vehicle, wherein the environment image comprises surrounding vehicle information.
202. The platform server extracts vehicle identification information in the surrounding vehicle information.
203. And the platform server inquires the historical violation record of the corresponding vehicle in the road traffic information database according to the vehicle identification information.
204. And the platform server determines that the vehicle corresponding to the vehicle identification with the history violation record is a risk vehicle.
205. The platform server extracts characteristic values of violation records of the risky vehicles, wherein the characteristic values comprise traffic penalty characteristic values or traffic accident loss values or violation behavior characteristics.
206. And when the characteristic value is the traffic penalty characteristic value, the platform server determines the risk level corresponding to the risk vehicle according to the traffic penalty characteristic value.
207. And when the characteristic value is the traffic accident loss value, the platform server determines the risk level corresponding to the risk vehicle according to the traffic accident loss value.
208. And when the characteristic value is the violation characteristic, the platform server determines the corresponding risk level of the risk vehicle according to the violation characteristic.
The big data has the characteristics of large data volume, diversified data structure, high data value density, high data growth speed and high reliability, can mine and analyze the characteristics of objects from the back of numerous and complicated data, finds out products and services which are more in line with users, and pertinently adjusts and optimizes the big data according to the requirements of the users, so that the big data has the core value.
Therefore, in order to make the platform server more referential to the definition of the risk level of the vehicle, the platform server needs to acquire a large amount of vehicle violation data from a large data platform, analyze the violation data, and summarize corresponding characteristics according to the analysis result, where the characteristics referred to herein may include characteristics of traffic penalty, loss characteristics of traffic accident, and characteristics of violation.
Specifically, the platform server may establish communication with a big data platform shared by authorized vehicle violation data, and obtain a large amount of vehicle violation data of the big data platform, where the data may be vehicle violation records: deduction of traffic penalties or fines; the degree of loss caused by the vehicle when the vehicle experiences a traffic accident; data with some violations may also be recorded, such as illegal parking records, fake-licensed or unlicensed driving records, speeding, drunk driving, and reverse driving records. And then setting the number of the violation records of the vehicle as a traffic penalty characteristic value, setting the damage caused by the traffic accident to the vehicle as a traffic accident loss value, and setting the violation data of the vehicle as violation characteristics.
In the case of the traffic penalty feature value, the platform server may select the penalties 4 and 8 as delimitation levels and 500 and 1500 as delimitation levels according to the analysis of the vehicle violation records, and then for the score values, the penalty less than 4 may be set as a low risk level, the penalty greater than 4 but less than 8 as a medium risk level, and the penalty greater than 8 as a high risk level, and for the penalty amount, the penalty less than 500 may be set as a low risk level, the penalty greater than 500 but less than 1500 as a medium risk level, and the penalty greater than 1500 as a high risk level. In the case of the traffic accident loss value, the platform server may classify the risk level according to an analysis of a loss degree caused when the vehicle experiences the traffic accident, for example, a degree of exchanging important components such as an engine, a chassis, etc. may be defined as a high risk level, a degree of exchanging components such as a bumper, etc. may be defined as a medium risk level, and a degree of not losing or exchanging tires may be defined as a low risk level. For the violation characteristics of the vehicle, the platform server may classify the risk level according to the violation data of the vehicle, and if the vehicle has only a violation parking record, the vehicle is defined as a low risk level, if the vehicle has a record of using a fake plate or a unlicensed driving, the vehicle is defined as a medium risk level, and if the vehicle has records of speeding, drunk driving, reversing, and the like, the vehicle is defined as a high risk level.
Specifically, after the platform server finds that the vehicle with the violation record is determined as the risky vehicle after being queried in the road traffic information database, the corresponding characteristic value of the violation record of the risky vehicle, namely the traffic penalty characteristic value or the traffic accident loss value or the violation behavior characteristic, is further extracted according to the summarized characteristic, and finally the risk grade corresponding to the risky vehicle is determined according to the corresponding characteristic value.
209. And the platform server sends corresponding operation instructions to the target vehicle according to the risk levels, wherein the risk levels comprise a high risk level, a medium risk level and a low risk level.
The risk level set by the platform server wants to define a measure of the potential severity of the risk for the user driving the vehicle's surrounding vehicle, which in the embodiment of the present application may be divided into a high risk level, a medium risk level and a low risk level. Specifically, the high risk level represents that the vehicle needs to avoid, and the platform server sends an operation instruction for avoiding the risk vehicle to the target vehicle; the intermediate risk level represents that the vehicle does not need to be avoided temporarily or the user selects whether the vehicle needs to pay attention to and avoid by himself, and the platform server sends an operation instruction for paying attention to and being alert to the target vehicle; the low risk level represents that the vehicle is determined to be a temporary safe vehicle, and the platform server sends indication information corresponding to the risk vehicle to the target vehicle. The indications mentioned herein may include, but are not limited to, the expressions mentioned in the above-mentioned step 105 of the embodiment.
In the embodiment of the application, in order to enable the setting of the risk rating of the vehicle to be more authoritative, the platform server may determine the division of each risk level according to the violation big data by acquiring the violation big data of the vehicle in a big data platform authorized to share the violation data of the vehicle. Referring to fig. 3, the present application provides a vehicle danger early warning device from a second aspect, including:
a first receiving unit 301, configured to receive an environment image sent by a target vehicle, where the environment image includes surrounding vehicle information.
An information extraction unit 302 for extracting vehicle identification information in the nearby vehicle information.
And the record query unit 303 is configured to query the historical violation record of the corresponding vehicle in the road traffic information database according to the vehicle identification information.
And a first determining unit 304, configured to determine a risk vehicle and a corresponding risk level according to the query result.
And an instruction transmitting unit 305, configured to transmit a corresponding operation instruction to the target vehicle according to the risk level.
In this embodiment of the application, the first receiving unit 301 receives an environment image of a target vehicle, then the information extracting unit 302 extracts vehicle identification information in surrounding vehicle information, then the record querying unit 303 may query a corresponding vehicle history violation record in the road traffic information database according to the vehicle identification information, the first determining unit 304 determines a risk vehicle and a corresponding risk level according to a query result of history violation data fed back by the platform, and finally, according to a property of the risk level, the instruction sending unit 305 sends a corresponding operation instruction to the target vehicle to prompt a driver to avoid a vehicle with a certain risk level, so as to achieve an early warning effect before an accident occurs.
Referring to fig. 4, the present application provides another vehicle danger warning device according to a second aspect, including:
a first receiving unit 401, configured to receive an environment image sent by a target vehicle, where the environment image includes surrounding vehicle information.
An information extraction unit 402 configured to extract vehicle identification information in the nearby vehicle information.
And a record query unit 403, configured to query, according to the vehicle identification information, a historical violation record of the corresponding vehicle in the road traffic information database.
And a first determining unit 404, configured to determine a risk vehicle and a corresponding risk level according to the query result.
And an instruction transmitting unit 405, configured to transmit a corresponding operation instruction to the target vehicle according to the risk level.
In this embodiment of the application, the first determining unit 404 includes:
the identification determination module 4041 is configured to determine that the vehicle corresponding to the vehicle identification having the historical violation record is a risky vehicle.
The extracting module 4042 is configured to extract a feature value of the violation record of the risky vehicle.
The grade determining module 4043 is configured to determine a risk grade corresponding to the risky vehicle according to the feature value of the violation record.
Specifically, in this embodiment of the present application, the grade determining module 4043 includes:
and the first risk level confirmation submodule 40431 is used for determining the corresponding risk level of the risky vehicle according to the level of the traffic penalty characteristic value.
And the second risk grade confirming submodule 40432 is used for confirming the risk grade corresponding to the risk vehicle according to the traffic accident loss value.
And the third risk grade confirming submodule 40433 is used for confirming the risk grade corresponding to the risk vehicle according to the violation behavior characteristic.
In this embodiment of the present application, the instruction sending unit 405 includes:
and the high risk indicating module 4051 is used for sending an operation instruction for avoiding the risk vehicle to the target vehicle when the risk level is the high risk level.
A medium risk indication module 4052, configured to send an operation indication of the attention and vigilance risk vehicle to the target vehicle when the risk level is a medium risk level.
And a low risk indicating module 4053, configured to send indication information of the risky vehicle to the target vehicle when the risk level is a low risk level.
Referring to fig. 5, the present application provides a server from a third aspect, including:
a processor 501, a memory 502, an input-output unit 503, and a bus 504.
The processor 501 is connected to a memory 502, an input-output unit 503, and a bus 504.
The memory 502 holds a program that the processor 501 calls to perform a secure launch method of an application as described in any of the first aspects.
The present application provides in a fourth aspect a computer readable storage medium having a program stored thereon, which when executed on a computer performs the method of any one of claims 1 to 5.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A vehicle danger early warning method is characterized by comprising the following steps:
receiving an environment image sent by a target vehicle, wherein the environment image comprises surrounding vehicle information;
extracting vehicle identification information in the surrounding vehicle information;
inquiring historical violation records of corresponding vehicles in a road traffic information database according to the vehicle identification information;
determining a risk vehicle and a corresponding risk grade according to the query result;
and sending a corresponding operation instruction to the target vehicle according to the risk level.
2. The vehicle risk early warning method according to claim 1, wherein the determining of the risk vehicle and the corresponding risk level according to the query result specifically comprises:
determining that the vehicle corresponding to the vehicle identification with the historical violation record is a risk vehicle;
extracting characteristic values of violation records of the risk vehicles;
and determining the corresponding risk grade of the risky vehicle according to the characteristic value of the violation record.
3. The vehicle danger early warning method according to claim 2, wherein the feature value of the violation record includes a traffic penalty feature value, and the determining the risk level corresponding to the risky vehicle according to the feature value of the violation record specifically includes:
and determining the corresponding risk grade of the vehicle at risk according to the traffic penalty characteristic value.
4. The vehicle danger early warning method according to claim 2, wherein the feature value of the violation record comprises a traffic accident loss value, and the determining of the risk level corresponding to the risky vehicle according to the feature value of the violation record specifically comprises:
and determining the corresponding risk grade of the vehicle at risk according to the traffic accident loss value.
5. The vehicle danger early warning method according to claim 2, wherein the feature value of the violation record includes a violation feature, and the determining the risk level corresponding to the risky vehicle according to the feature value of the violation record specifically includes:
and determining the corresponding risk grade of the risky vehicle according to the violation behavior characteristics.
6. The vehicle risk pre-warning method according to any one of claims 1 to 5, wherein the risk levels include a high risk level, a medium risk level, a low risk level;
the sending of the corresponding operation instruction to the target vehicle according to the risk level specifically includes:
if the risk level is a high risk level, sending an operation instruction for avoiding the risk vehicle to the target vehicle;
if the risk level is a medium risk level, sending an operation instruction for paying attention to and being vigilant to the target vehicle;
and if the risk level is a low risk level, sending prompt information of the risk vehicle to the target vehicle.
7. A vehicle hazard warning device, comprising:
a first receiving unit configured to receive an environment image transmitted by a target vehicle, the environment image including surrounding vehicle information;
an information extraction unit configured to extract vehicle identification information in the nearby vehicle information;
the record query unit is used for querying the historical violation record of the corresponding vehicle in the road traffic information database according to the vehicle identification information;
the first determining unit is used for determining the risk vehicles and the corresponding risk grades according to the query results;
and the indication sending unit is used for sending corresponding operation indication to the target vehicle according to the risk level.
8. The vehicle risk early warning device according to claim 7, wherein the risk levels in the first determination unit include a high risk level, a medium risk level, a low risk level;
the indication sending unit specifically includes:
the high risk indicating module is used for sending an operation instruction of avoiding the risk vehicle to the target vehicle when the risk level is the high risk level;
a medium risk indicating module for sending an operation indication of paying attention and being alert to the target vehicle when the risk level is a medium risk level;
and the low risk indicating module is used for sending indicating information of the risk vehicle to the target vehicle when the risk level is the low risk level.
9. A server, characterized in that the device comprises:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory holds a program that the processor calls to perform the method of any one of claims 1 to 6.
10. A computer-readable storage medium having a program stored thereon, the program, when executed on a computer, performing the method of any one of claims 1 to 6.
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Application publication date: 20211221 |