CN116736308B - Road condition detection method and system for over-the-horizon high-definition radar - Google Patents

Road condition detection method and system for over-the-horizon high-definition radar Download PDF

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CN116736308B
CN116736308B CN202311000716.7A CN202311000716A CN116736308B CN 116736308 B CN116736308 B CN 116736308B CN 202311000716 A CN202311000716 A CN 202311000716A CN 116736308 B CN116736308 B CN 116736308B
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information
vehicle
area
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encryption
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CN116736308A (en
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王越
许奎
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Shenzhen Jiuzhou Zhuoneng Electric Co ltd
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Shenzhen Jiuzhou Zhuoneng Electric Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/602—Providing cryptographic facilities or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing

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  • Theoretical Computer Science (AREA)
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Abstract

The invention discloses a road condition detection method and system for a beyond visual range high definition radar, wherein the method comprises the following steps: acquiring road condition information transmitted by a cloud platform and based on over-the-horizon high-definition radar detection, wherein the road condition information comprises first encryption information of a first vehicle in a target road area, and the first encryption information comprises first coordinate information subjected to hash processing; acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and performing hashing to determine second encryption information; matching the first encryption information with the second encryption information, and screening a third vehicle corresponding to the second vehicle from the first vehicles; uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; receiving a processing strategy of the third vehicle and issuing the processing strategy to the second vehicle; the scheme can reduce the occurrence probability of traffic accidents.

Description

Road condition detection method and system for over-the-horizon high-definition radar
Technical Field
The invention relates to the technical field of computers, in particular to a road condition detection method and system for a beyond visual range high definition radar.
Background
At present, a sensing component such as a camera and a millimeter wave radar is usually arranged on a vehicle to sense the situation around the vehicle, so that the vehicle automatically responds to the avoidance and other operations when encountering the situations such as obstacles. Among them, millimeter wave radar is a radar operating in millimeter wave band (millimeter wave) detection. Millimeter waves generally refer to the frequency domain (wavelength 1-10 mm) of 30-300 GHz. Millimeter wave has a wavelength between that of microwaves and centimeter waves, so millimeter wave radars have some of the advantages of both microwave radars and photoelectric radars.
The existing millimeter wave radar arranged on the vehicle generally senses information in a short distance, and for long-distance information, an object (such as an obstacle) needing to be focused can be sensed after the information is waited for to approach, so that corresponding processing strategies (such as avoidance, deceleration and the like) are adopted.
However, with such a strategy, traffic accidents are liable to occur.
Disclosure of Invention
The invention provides a road condition detection method and system for a beyond visual range high definition radar, which are used for detecting a relevant road section through the beyond visual range high definition radar and issuing a remote processing strategy corresponding to a vehicle to the vehicle in advance so as to reduce the occurrence probability of traffic accidents.
In order to solve the technical problems, the application is realized as follows:
in a first aspect, the present application provides a method for detecting road conditions by using a beyond-view-range high-definition radar, which is applied to a server, wherein the server can interact with a cloud platform and a vehicle terminal, and the method comprises: acquiring road condition information transmitted by a cloud platform and based on beyond visual range high definition radar detection, wherein the road condition information comprises first encrypted information of a first vehicle in a target road area, the first encrypted information comprises first coordinate information subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area; acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and hashing the second coordinate information to determine second encryption information, wherein the second coordinate information comprises area information of a sub-area of the target road area; matching the first encryption information with the second encryption information, and screening a third vehicle corresponding to the second vehicle from the first vehicles; uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle.
Further, the matching the first encryption information with the second encryption information includes: negotiating a hash algorithm with the cloud platform, wherein the hash algorithm is used for carrying out hash processing on the same data to enable the obtained hash results to be the same; judging whether the first encryption information and the second encryption information are the same or not; if the first encrypted information and the second encrypted information are the same, determining that the corresponding first vehicle is a third vehicle corresponding to the second vehicle; and if the first encryption information and the second encryption information are the same, matching the next first encryption information and the second encryption information.
Further, the method further comprises the step of generating the region information of each sub-region by the cloud platform: distributing first area information for a first sub-area of the target road area, carrying out hash to form first hash information and storing the first hash information into a comparison table; distributing second area information for a second sub-area of the target road area, and hashing the second area information to obtain second hash information; judging whether the second hash information is the same as the hash information in the comparison table; if the information is different, confirming that the area information of the second sub-area is distributed, and storing the second hash information into a comparison table to distribute the area information of the next sub-area; if the information of the second sub-area is the same, discarding the second area information, and distributing third area information for the second sub-area of the target road area to match the second sub-area until the area information of the second sub-area is distributed; after the area information is allocated to all the sub-areas, the allocated area information is synchronized to the server.
Further, the obtaining the second coordinate information of the second vehicle in the target road area includes: acquiring vehicle position information of a second vehicle in the target road area, and determining a target sub-area corresponding to the second vehicle according to the vehicle position information; judging whether the second vehicle approaches the boundary of the target subarea according to the vehicle position information; if the second vehicle is not close to the boundary of the target sub-region, acquiring the region information of the target sub-region, and forming second coordinate information; and if the second vehicle approaches to the boundary of the target subarea, acquiring the area information of the target subarea and the adjacent subarea to form second coordinate information.
Further, the matching the first encryption information with the second encryption information includes: acquiring first encryption information issued by a cloud platform, wherein at least part of the first encryption information carries a first homonym tag, and the cloud platform is used for adding the first homonym tag to the vehicle position information of a first vehicle, of which the vehicle position information in the first vehicle is close to the boundary of a subarea, so that the first encryption information carries the first homonym tag; adding a second isotope label to second coordinate information of the region information with the adjacent subregion, so that the second encryption information carries the second isotope label; matching the first encrypted information with the first isotope label with the second encrypted information with the second isotope label; the first encrypted information without the first isotope label is matched with the second encrypted information without the second isotope label.
Further, the cloud platform is used for: acquiring vehicle position information of a first vehicle, and determining a first sub-region corresponding to the first vehicle according to the vehicle position information; judging whether the first vehicle approaches to the boundary of the first subarea according to the vehicle position information; if the first vehicle approaches the boundary of the first sub-region, acquiring the region information of the first sub-region, and adding a first homonymy mark to form first coordinate information; and carrying out hash according to the first coordinate information with the first homonym mark to obtain first encryption information carrying the first homonym mark.
Further, the claim information of the third vehicle includes a confusion identifier converted according to the vehicle identifier of the second vehicle, and the receiving the processing policy of the third vehicle and issuing the processing policy to the second vehicle includes: receiving a confusion identification and a processing strategy of a third vehicle; determining a target vehicle identifier corresponding to the confusion identifier according to the corresponding relation between the confusion identifier and the vehicle identifier of the second vehicle; and issuing a processing strategy to the second vehicle corresponding to the target vehicle identifier.
In a second aspect, the present application provides a road condition detection system for beyond-line-of-sight Gao Qinglei, applied to a server, where the server may interact with a cloud platform and a vehicle terminal, the system comprising: the system comprises a first information acquisition module, a second information acquisition module and a third information acquisition module, wherein the first information acquisition module is used for acquiring road condition information which is transmitted by a cloud platform and is based on beyond visual range high definition radar detection, the road condition information comprises first encrypted information of a first vehicle of a target road area, the first encrypted information comprises first coordinate information which is subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area; the second information acquisition module is used for acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and carrying out hashing to determine second encryption information, wherein the second coordinate information comprises area information of a sub-area of the target road area; the encryption information matching module is used for matching the first encryption information with the second encryption information and screening a third vehicle corresponding to the second vehicle from the first vehicles; the processing strategy determining module is used for uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and the processing strategy issuing module is used for receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle.
In a third aspect, the present application provides an electronic device, comprising: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method according to the first aspect.
The application provides a road condition detection method for a beyond-visual-range high-definition radar, which is applied to a server, wherein the server can interact with a cloud platform and a vehicle terminal, and the method comprises the following steps: acquiring road condition information transmitted by a cloud platform and based on beyond visual range high definition radar detection, wherein the road condition information comprises first encrypted information of a first vehicle in a target road area, the first encrypted information comprises first coordinate information subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area; acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and hashing the second coordinate information to determine second encryption information, wherein the second coordinate information comprises area information of a sub-area of the target road area; matching the first encryption information with the second encryption information, and screening a third vehicle corresponding to the second vehicle from the first vehicles; uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle.
The scheme of the application can be applied to a server, the server can interact with a cloud platform and a vehicle terminal, wherein the cloud platform is a platform for analyzing based on detection data reaching beyond visual range Gao Qinglei, and can collect relevant information in a target road area, such as vehicle position information of a first vehicle, convert the information into subareas corresponding to the target road area, hash the first coordinate information to form first encryption information, determine road condition information and send the road condition information to a plurality of servers. Each server can interact with the vehicle terminals of the second vehicles to acquire vehicle position information of the second vehicles, and further form second coordinate information of the sub-region corresponding to the target road region according to the vehicle position information of the second vehicles, and further perform hash processing according to the second coordinate information to form second encryption information. Then, the server can match the first encryption information with the second encryption information, screen a third vehicle corresponding to the second vehicle from the first vehicles, and upload claim information of the third vehicle, so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle. The processing strategy includes a solution of an object (such as an obstacle, a subtended vehicle, etc.) corresponding to a region where the vehicle is far away, and the processing strategy may include a focus range of information collected by the vehicle (such as a part of images needing focus attention in a designated image for analysis preferentially), and a control strategy of the vehicle (such as deceleration, avoidance, etc.). According to the scheme, the relevant road sections can be detected through the beyond visual range high-definition radar, and the processing strategy corresponding to the distance is issued to the vehicle in advance, so that the occurrence probability of traffic accidents is reduced. In addition, the target road area is divided into a plurality of subareas, so that the subareas are used as coordinates of vehicles, the cloud platform can interact with a plurality of servers in an encrypted but not decrypted state (after data hash processing, other users cannot determine original data through hash values), and the safety of the data is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a schematic flow chart of a road condition detection method for a beyond visual range high definition radar according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating steps of a road condition detection method for over-the-horizon high definition radar according to one embodiment of the present application;
fig. 3 is a schematic structural diagram of a beyond visual range high definition radar road condition detection system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the existing scheme, a sensing component for sensing, such as millimeter wave radar, a camera and the like, is usually arranged on a vehicle. However, the partial component is generally a component perceived in a short distance, and the information perceived in a long distance is poor. Therefore, the road condition detection is carried out by using the beyond visual range high-definition radar, so that the processing strategy of the road condition of each vehicle terminal at a longer distance is informed, and the vehicle terminals can process correspondingly, so that the probability of traffic accidents is reduced.
The scheme of the application can be applied to a server, as shown in fig. 1, the server can interact with a cloud platform and a vehicle terminal, wherein the cloud platform is a platform for analyzing based on detection data reaching beyond visual range Gao Qinglei, and can acquire relevant information in a target road area, such as vehicle position information of a first vehicle, convert the information into subareas of the target road area, hash the first coordinate information to form first encryption information, determine road condition information and send the road condition information to a plurality of servers. Each server can interact with the vehicle terminals of the second vehicles to acquire vehicle position information of the second vehicles, and further form second coordinate information of the sub-region corresponding to the target road region according to the vehicle position information of the second vehicles, and further perform hash processing according to the second coordinate information to form second encryption information. Then, the server can match the first encryption information with the second encryption information, screen a third vehicle corresponding to the second vehicle from the first vehicles, and upload claim information of the third vehicle, so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle. The processing strategies may include a focus range of the vehicle collected information (such as designating a part of the images that need to be focused on for preferential analysis), and a control strategy of the vehicle (such as deceleration, avoidance, etc.). According to the scheme, the relevant road sections can be detected through the beyond visual range high-definition radar, and the processing strategy is issued to the vehicle in advance, so that the occurrence probability of traffic accidents is reduced. In addition, the target road area is divided into a plurality of subareas, so that the subareas are used as coordinates of vehicles, the cloud platform can interact with a plurality of servers in an encrypted but not decrypted state (after data hash processing, other users cannot determine original data through hash values), and the safety of the data is improved.
Specifically, the application provides a road condition detection method for a beyond-visual-range high-definition radar, which is applied to a server, wherein the server can interact with a cloud platform and a vehicle terminal, as shown in fig. 2, and the method comprises the following steps:
step 202, obtaining road condition information transmitted by a cloud platform and based on beyond visual range high definition radar detection, wherein the road condition information comprises first encrypted information of a first vehicle of a target road area, the first encrypted information comprises first coordinate information subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area. The cloud platform determines vehicle position information according to the beyond visual range high-definition radar, further determines a subarea corresponding to the first vehicle according to the vehicle position information, and further forms first coordinate information according to the area information of the subarea. The cloud platform does not directly obtain vehicle information (such as license plate numbers, vehicle owners and the like) of each vehicle, and the information is stored by a server. The server does not obtain all the information of the cloud platform, and only receives the information (such as processing strategy) of the vehicle which is issued by the cloud platform and is related to the server.
Step 204, based on the interaction with the vehicle terminal of the second vehicle, second coordinate information of the second vehicle in the target road area is acquired, and hashed to determine second encryption information, wherein the second coordinate information includes area information of a sub-area of the target road area. The second vehicle associated with the server may be only a part of the first vehicle, so the server may acquire vehicle location information of the second vehicle, determine a corresponding sub-region, form second coordinate information, and hash the second coordinate information in the same hash manner to form second encrypted information, so as to screen the vehicle associated with the server from the first vehicle.
And 206, matching the first encrypted information with the second encrypted information, and screening a third vehicle corresponding to the second vehicle from the first vehicles. The first encrypted information is identical to the second encrypted information and can be regarded as identical to the two vehicles.
Step 208, uploading claim information of the third vehicle, so that the cloud platform issues the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle.
Step 210, receiving the processing strategy of the third vehicle, and issuing the processing strategy to the second vehicle. The server may upload claim information of the third vehicle to claim part of the first vehicles of the cloud platform, and after the cloud platform determines the processing policy of each first vehicle, the request may be issued to the server, and the request may be issued to the vehicle terminal by the server.
The server can interact with the cloud platform and the vehicle terminal, wherein the cloud platform is a platform for analyzing detection data based on beyond visual range Gao Qinglei, and can collect relevant information in a target road area through beyond visual range high definition radar, such as vehicle position information of a first vehicle, perform conversion partition to form first coordinate information of a sub-area corresponding to the target road area, perform hash processing on the first coordinate information to form first encryption information, determine road condition information, and send the road condition information to a plurality of servers. Each server can interact with the vehicle terminals of the second vehicles to acquire vehicle position information of the second vehicles, and further form second coordinate information of the sub-region corresponding to the target road region according to the vehicle position information of the second vehicles, and further perform hash processing according to the second coordinate information to form second encryption information. Then, the server can match the first encryption information with the second encryption information, screen a third vehicle corresponding to the second vehicle from the first vehicles, and upload claim information of the third vehicle, so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle. The processing strategies may include a focus range of the vehicle collected information (such as designating a part of the images that need to be focused on for preferential analysis), and a control strategy of the vehicle (such as deceleration, avoidance, etc.). According to the scheme, the relevant road sections can be detected through the beyond visual range high-definition radar, and the processing strategy is issued to the vehicle in advance, so that the occurrence probability of traffic accidents is reduced. In addition, the target road area is divided into a plurality of subareas, so that the subareas are used as coordinates of vehicles, the cloud platform can interact with a plurality of servers in an encrypted but not decrypted state (after data hash processing, other users cannot determine original data through hash values), and the safety of the data is improved.
The server and the cloud platform may negotiate a hash algorithm in advance, so that the same data is hashed to obtain the same hash result, so that data matching may be performed, and specifically, as an optional embodiment, the matching the first encryption information with the second encryption information includes: negotiating a hash algorithm with the cloud platform, wherein the hash algorithm is used for carrying out hash processing on the same data to enable the obtained hash results to be the same; judging whether the first encryption information and the second encryption information are the same or not; if the first encrypted information and the second encrypted information are the same, determining that the corresponding first vehicle is a third vehicle corresponding to the second vehicle; and if the first encryption information and the second encryption information are the same, matching the next first encryption information and the second encryption information.
After the data is hashed by the partial hash algorithm, hash results of different original data may be consistent, so in the scheme, the cloud platform can generate area information for each sub-area in advance, hash the area information and perform deduplication, thereby avoiding the problem of repeated hash results. Specifically, as an optional embodiment, the method further includes the step of generating the region information of each sub-region by the cloud platform: distributing first area information for a first sub-area of the target road area, carrying out hash to form first hash information and storing the first hash information into a comparison table; distributing second area information for a second sub-area of the target road area, and hashing the second area information to obtain second hash information; judging whether the second hash information is the same as the hash information in the comparison table; if the information is different, confirming that the area information of the second sub-area is distributed, and storing the second hash information into a comparison table to distribute the area information of the next sub-area; if the information of the second sub-area is the same, discarding the second area information, and distributing third area information for the second sub-area of the target road area to match the second sub-area until the area information of the second sub-area is distributed; after the area information is allocated to all the sub-areas, the allocated area information is synchronized to the server. For the target road area, the target road area can be divided into a plurality of subareas, one area information can be allocated for each subarea, corresponding newly allocated area information can be subjected to hash processing, whether the hash result (hash information) is consistent with the hash information pre-stored in the comparison table before is confirmed, if so, the target road area is discarded, and if not, allocation can be performed. And the cloud platform synchronously distributes the region information to each server so that the cloud platform and the servers adopt the corresponding region information.
The vehicle position information of a part of the vehicles may be close to the boundary of the subarea, and then the subarea division results of the server and the cloud platform may be inconsistent for the vehicles positioned at the edge of the subarea because the vehicle position information may have errors, so that the regional information of the target region and the adjacent region of the target region can be added in the second coordinate information of the server so as to perform matching. Specifically, as an alternative embodiment, the acquiring the second coordinate information of the second vehicle in the target road area includes: acquiring vehicle position information of a second vehicle in the target road area, and determining a target sub-area corresponding to the second vehicle according to the vehicle position information; judging whether the second vehicle approaches the boundary of the target subarea according to the vehicle position information; if the second vehicle is not close to the boundary of the target sub-region, acquiring the region information of the target sub-region, and forming second coordinate information; and if the second vehicle approaches to the boundary of the target subarea, acquiring the area information of the target subarea and the adjacent subarea to form second coordinate information. The method and the device complete the adding process of the area information of the adjacent areas in the server, and the burden of the cloud platform is not increased. By such a scheme, even if the cloud platform or the server has an error, the target sub-area of the cloud platform and the adjacent area of the target sub-area of the server can be matched, so that the vehicle can be claimed.
The method can also add isotope labels for the coordinate information of the vehicles close to the boundary in the server and the coordinate information of the vehicles close to the boundary in the cloud platform, so that the information with the isotope labels is matched, and the information without the isotope labels is matched. Specifically, as an alternative embodiment, the matching the first encryption information with the second encryption information includes: acquiring first encryption information issued by a cloud platform, wherein at least part of the first encryption information carries a first homonym tag, and the cloud platform is used for adding the first homonym tag to the vehicle position information of a first vehicle, of which the vehicle position information in the first vehicle is close to the boundary of a subarea, so that the first encryption information carries the first homonym tag; adding a second isotope label to second coordinate information of the region information with the adjacent subregion, so that the second encryption information carries the second isotope label; matching the first encrypted information with the first isotope label with the second encrypted information with the second isotope label; the first encrypted information without the first isotope label is matched with the second encrypted information without the second isotope label.
The cloud platform can analyze according to the vehicle position information of the first vehicle and add isotope labels to the coordinate information of the first vehicle near the boundary of the first subarea so as to match. Specifically, as an alternative embodiment, the cloud platform is configured to: acquiring vehicle position information of a first vehicle, and determining a first sub-region corresponding to the first vehicle according to the vehicle position information; judging whether the first vehicle approaches to the boundary of the first subarea according to the vehicle position information; if the first vehicle approaches the boundary of the first sub-region, acquiring the region information of the first sub-region, and adding a first homonymy mark to form first coordinate information; and carrying out hash according to the first coordinate information with the first homonym mark to obtain first encryption information carrying the first homonym mark. If the first vehicle is not close to the boundary of the first subarea, the isotope label is not added, and the first coordinate information is determined according to the area information of the first subarea. In the scheme, a distance threshold value can be preset near the boundary of the sub-region, when the distance between the vehicle position information and the boundary is smaller than the distance threshold value, the boundary of the vehicle near the sub-region is determined, and each sub-region can correspond to the size of a vehicle.
In the scheme, the claim information uploaded by the server can be the confused identifier, the original identifier cannot be presumed according to the confused identifier, and the risk of data leakage is avoided. And after receiving the confusion identification, the server restores the confusion identification to obtain the original identification. Specifically, as an alternative embodiment, the claim information of the third vehicle includes a confusion identifier converted according to the vehicle identifier of the second vehicle, and the receiving the processing policy of the third vehicle and issuing the processing policy to the second vehicle includes: receiving a confusion identification and a processing strategy of a third vehicle; determining a target vehicle identifier corresponding to the confusion identifier according to the corresponding relation between the confusion identifier and the vehicle identifier of the second vehicle; and issuing a processing strategy to the second vehicle corresponding to the target vehicle identifier. The server stores the corresponding relation between the identifications, and the cloud platform only obtains the confused identifications, so that the data cannot be leaked to the cloud platform. The cloud platform only feeds back the processing strategy of the vehicle related to the server, but does not feed back the processing strategy of the vehicle unrelated to the server, so that the risk of total data leakage is reduced.
Based on the above embodiment, the embodiment of the present application further provides a system for detecting road conditions beyond the viewing distance Gao Qinglei, which is applied to a server, and the server may interact with a cloud platform and a vehicle terminal, as shown in fig. 3, where the system includes:
The first information obtaining module 302 is configured to obtain road condition information based on over-the-horizon high definition radar detection transmitted by the cloud platform, where the road condition information includes first encrypted information of a first vehicle in a target road area, the first encrypted information includes first coordinate information that is subjected to hash processing, the target road area is divided into a plurality of sub-areas, and the first coordinate information includes area information of the sub-areas of the target road area.
The second information obtaining module 304 is configured to obtain second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and perform hashing to determine second encrypted information, where the second coordinate information includes area information of a sub-area of the target road area.
And the encryption information matching module 306 is configured to match the first encryption information with the second encryption information, and screen a third vehicle corresponding to the second vehicle from the first vehicles.
The processing policy determining module 308 is configured to upload claim information of the third vehicle, so that the cloud platform issues the processing policy of the third vehicle to the server after determining the processing policy of each first vehicle.
The processing policy issuing module 310 is configured to receive the processing policy of the third vehicle, and issue the processing policy to the second vehicle.
The implementation manner of the embodiment of the present application is similar to that of the embodiment of the method, and the specific implementation manner may refer to the specific implementation manner of the embodiment of the method, which is not repeated herein.
The scheme of the application can be applied to a server, the server can interact with a cloud platform and a vehicle terminal, wherein the cloud platform is a platform for analyzing based on detection data reaching beyond visual range Gao Qinglei, and can collect relevant information in a target road area, such as vehicle position information of a first vehicle, convert the information into subareas corresponding to the target road area, hash the first coordinate information to form first encryption information, determine road condition information and send the road condition information to a plurality of servers. Each server can interact with the vehicle terminals of the second vehicles to acquire vehicle position information of the second vehicles, and further form second coordinate information of the sub-region corresponding to the target road region according to the vehicle position information of the second vehicles, and further perform hash processing according to the second coordinate information to form second encryption information. Then, the server can match the first encryption information with the second encryption information, screen a third vehicle corresponding to the second vehicle from the first vehicles, and upload claim information of the third vehicle, so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle; and receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle. The processing strategies may include a focus range of the vehicle collected information (such as designating a part of the images that need to be focused on for preferential analysis), and a control strategy of the vehicle (such as deceleration, avoidance, etc.). According to the scheme, the relevant road sections can be detected through the beyond visual range high-definition radar, and the processing strategy is issued to the vehicle in advance, so that the occurrence probability of traffic accidents is reduced. In addition, the target road area is divided into a plurality of subareas, so that the subareas are used as coordinates of vehicles, the cloud platform can interact with a plurality of servers in an encrypted but not decrypted state (after data hash processing, other users cannot determine original data through hash values), and the safety of the data is improved.
On the basis of the above embodiment, the present application further provides an electronic device, including: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method as described in the above embodiments.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the data processing method embodiment, and can achieve the same technical effects, so that repetition is avoided and no further description is given here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random ACGess Memory, RAM), magnetic disk or optical disk.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. According to the definitions herein, the computer-readable medium does not include a transitory computer-readable medium (transmission medium), such as a modulated data signal and carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.

Claims (5)

1. The road condition detection method for the beyond-visual-range high-definition radar is characterized by being applied to a server, wherein the server interacts with a cloud platform and a vehicle terminal, and the method comprises the following steps:
acquiring road condition information transmitted by a cloud platform and based on beyond visual range high definition radar detection, wherein the road condition information comprises first encrypted information of a first vehicle in a target road area, the first encrypted information comprises first coordinate information subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area;
acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and hashing the second coordinate information to determine second encryption information, wherein the second coordinate information comprises area information of a sub-area of the target road area;
matching the first encryption information with the second encryption information, and screening a third vehicle corresponding to the second vehicle from the first vehicles;
uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle;
Receiving a processing strategy of a third vehicle and issuing the processing strategy to a second vehicle, wherein the matching of the first encryption information and the second encryption information comprises the following steps:
negotiating a hash algorithm with the cloud platform, wherein the hash algorithm is used for carrying out hash processing on the same data to enable the obtained hash results to be the same;
judging whether the first encryption information and the second encryption information are the same or not;
if the first encrypted information and the second encrypted information are the same, determining that the corresponding first vehicle is a third vehicle corresponding to the second vehicle;
if the first encryption information and the second encryption information are the same, matching the next first encryption information and the second encryption information is performed, wherein the method further comprises the step of generating the area information of each subarea by the cloud platform:
distributing first area information for a first sub-area of the target road area, carrying out hash to form first hash information and storing the first hash information into a comparison table;
distributing second area information for a second sub-area of the target road area, and hashing the second area information to obtain second hash information;
judging whether the second hash information is the same as the hash information in the comparison table;
if the information is different, confirming that the area information of the second sub-area is distributed, and storing the second hash information into a comparison table to distribute the area information of the next sub-area;
If the information of the second sub-area is the same, discarding the second area information, and distributing third area information for the second sub-area of the target road area to match the second sub-area until the area information of the second sub-area is distributed;
after the area information is allocated to all the subareas, the allocated area information is synchronized to the server, wherein the acquiring the second coordinate information of the second vehicle in the target road area comprises the following steps:
acquiring vehicle position information of a second vehicle in the target road area, and determining a target sub-area corresponding to the second vehicle according to the vehicle position information;
judging whether the second vehicle approaches the boundary of the target subarea according to the vehicle position information;
if the second vehicle is not close to the boundary of the target sub-region, acquiring the region information of the target sub-region, and forming second coordinate information;
if the second vehicle approaches the boundary of the target sub-region, acquiring the region information of the target sub-region and the adjacent sub-region to form second coordinate information, wherein the matching the first encryption information with the second encryption information comprises:
acquiring first encryption information issued by a cloud platform, wherein at least part of the first encryption information carries a first homonym tag, and the cloud platform is used for adding the first homonym tag to the vehicle position information of a first vehicle, of which the vehicle position information in the first vehicle is close to the boundary of a subarea, so that the first encryption information carries the first homonym tag;
Adding a second isotope label to second coordinate information of the region information with the adjacent subregion, so that the second encryption information carries the second isotope label;
matching the first encrypted information with the first isotope label with the second encrypted information with the second isotope label;
matching the first encrypted information without the first isotope label with the second encrypted information without the second isotope label, wherein the cloud platform is configured to:
acquiring vehicle position information of a first vehicle, and determining a first sub-region corresponding to the first vehicle according to the vehicle position information;
judging whether the first vehicle approaches to the boundary of the first subarea according to the vehicle position information;
if the first vehicle approaches the boundary of the first sub-region, acquiring the region information of the first sub-region, and adding a first homonymy mark to form first coordinate information;
and carrying out hash according to the first coordinate information with the first homonym mark to obtain first encryption information carrying the first homonym mark.
2. The method of claim 1, wherein the claim information of the third vehicle includes a obfuscated identity converted from the vehicle identity of the second vehicle, wherein the receiving the processing policy of the third vehicle and issuing to the second vehicle includes:
Receiving a confusion identification and a processing strategy of a third vehicle;
determining a target vehicle identifier corresponding to the confusion identifier according to the corresponding relation between the confusion identifier and the vehicle identifier of the second vehicle;
and issuing a processing strategy to the second vehicle corresponding to the target vehicle identifier.
3. The utility model provides a super visual range high definition radar road conditions detecting system which characterized in that is applied at the server, and the server interacts with cloud platform and vehicle terminal, the system includes:
the system comprises a first information acquisition module, a second information acquisition module and a third information acquisition module, wherein the first information acquisition module is used for acquiring road condition information which is transmitted by a cloud platform and is based on beyond visual range high definition radar detection, the road condition information comprises first encrypted information of a first vehicle of a target road area, the first encrypted information comprises first coordinate information which is subjected to hash processing, the target road area is divided into a plurality of subareas, and the first coordinate information comprises area information of the subareas of the target road area;
the second information acquisition module is used for acquiring second coordinate information of a second vehicle in the target road area based on interaction with a vehicle terminal of the second vehicle, and carrying out hashing to determine second encryption information, wherein the second coordinate information comprises area information of a sub-area of the target road area;
The encryption information matching module is used for matching the first encryption information with the second encryption information and screening a third vehicle corresponding to the second vehicle from the first vehicles;
the processing strategy determining module is used for uploading claim information of the third vehicle so that the cloud platform can send the processing strategy of the third vehicle to the server after determining the processing strategy of each first vehicle;
the processing strategy issuing module is used for receiving the processing strategy of the third vehicle and issuing the processing strategy to the second vehicle;
the cloud platform module is used for generating the region information of each sub-region and comprises the following steps:
distributing first area information for a first sub-area of the target road area, carrying out hash to form first hash information and storing the first hash information into a comparison table;
distributing second area information for a second sub-area of the target road area, and hashing the second area information to obtain second hash information;
judging whether the second hash information is the same as the hash information in the comparison table;
if the information is different, confirming that the area information of the second sub-area is distributed, and storing the second hash information into a comparison table to distribute the area information of the next sub-area;
If the information of the second sub-area is the same, discarding the second area information, and distributing third area information for the second sub-area of the target road area to match the second sub-area until the area information of the second sub-area is distributed;
after all the subareas are allocated with the area information, the allocated area information is synchronized to the server, wherein the matching of the first encryption information and the second encryption information comprises the following steps:
negotiating a hash algorithm with the cloud platform, wherein the hash algorithm is used for carrying out hash processing on the same data to enable the obtained hash results to be the same;
judging whether the first encryption information and the second encryption information are the same or not;
if the first encrypted information and the second encrypted information are the same, determining that the corresponding first vehicle is a third vehicle corresponding to the second vehicle;
if the first encryption information and the second encryption information are the same, matching the next first encryption information and the second encryption information is performed, wherein the obtaining the second coordinate information of the second vehicle in the target road area includes:
acquiring vehicle position information of a second vehicle in the target road area, and determining a target sub-area corresponding to the second vehicle according to the vehicle position information;
judging whether the second vehicle approaches the boundary of the target subarea according to the vehicle position information; if the second vehicle is not close to the boundary of the target sub-region, acquiring the region information of the target sub-region, and forming second coordinate information;
If the second vehicle approaches the boundary of the target sub-region, acquiring the region information of the target sub-region and the adjacent sub-region to form second coordinate information, wherein the matching the first encryption information with the second encryption information comprises:
acquiring first encryption information issued by a cloud platform, wherein at least part of the first encryption information carries a first homonym tag, and the cloud platform is used for adding the first homonym tag to the vehicle position information of a first vehicle, of which the vehicle position information in the first vehicle is close to the boundary of a subarea, so that the first encryption information carries the first homonym tag;
adding a second isotope label to second coordinate information of the region information with the adjacent subregion, so that the second encryption information carries the second isotope label;
matching the first encrypted information with the first isotope label with the second encrypted information with the second isotope label;
matching the first encrypted information without the first isotope label with the second encrypted information without the second isotope label, wherein the cloud platform is configured to:
acquiring vehicle position information of a first vehicle, and determining a first sub-region corresponding to the first vehicle according to the vehicle position information;
Judging whether the first vehicle approaches to the boundary of the first subarea according to the vehicle position information;
if the first vehicle approaches the boundary of the first sub-region, acquiring the region information of the first sub-region, and adding a first homonymy mark to form first coordinate information;
and carrying out hash according to the first coordinate information with the first homonym mark to obtain first encryption information carrying the first homonym mark.
4. An electronic device, comprising: a memory and at least one processor;
the memory is used for storing computer execution instructions;
the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method of any of claims 1-2.
5. A computer readable storage medium, characterized in that a computer program is stored on the computer readable storage medium, which computer program, when being executed by a processor, implements the method according to any of claims 1-2.
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