CN111382219B - High-precision map data checking method and device - Google Patents

High-precision map data checking method and device Download PDF

Info

Publication number
CN111382219B
CN111382219B CN201811640024.8A CN201811640024A CN111382219B CN 111382219 B CN111382219 B CN 111382219B CN 201811640024 A CN201811640024 A CN 201811640024A CN 111382219 B CN111382219 B CN 111382219B
Authority
CN
China
Prior art keywords
data
inspection
tag
rule
checking
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811640024.8A
Other languages
Chinese (zh)
Other versions
CN111382219A (en
Inventor
王何飞
杨威
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Navinfo Co Ltd
Original Assignee
Navinfo Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Navinfo Co Ltd filed Critical Navinfo Co Ltd
Priority to CN201811640024.8A priority Critical patent/CN111382219B/en
Publication of CN111382219A publication Critical patent/CN111382219A/en
Application granted granted Critical
Publication of CN111382219B publication Critical patent/CN111382219B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention provides a high-precision map data checking method and device. The method comprises the following steps: adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, wherein the data label of the data object which is not updated defaults to an un-updated label; executing a first checking rule on a data object with a data tag being an update tag in the data to be checked to obtain a first checking result; executing a second checking rule on the data object with the data tag being an un-updated tag in the data to be checked to obtain a second checking result; and storing the first checking result and the second checking result. Redundant checking in the prior art is omitted, and the efficiency of data checking is improved.

Description

High-precision map data checking method and device
Technical Field
The invention relates to the technical field of electronic maps, in particular to a high-precision map data checking method and device.
Background
The high-precision map is one of core technologies in the automatic driving field, and the high-precision map needs to store various traffic elements in traffic scenes in a formatted mode, including road network data, lane lines, traffic signs and other data of the traditional map. The accuracy and integrity of the high-precision map data directly affect the safety of automatic driving, and therefore, the inspection work of the high-precision map data is of great importance.
In the prior art, when high-precision map data are checked, the data to be checked are not distinguished, and all the data are checked one by adopting a preset detection rule. This method of the prior art is less efficient to inspect.
Disclosure of Invention
The invention provides a high-precision map data checking method and device, which are used for improving data checking efficiency.
In a first aspect, the present invention provides a high-precision map data inspection method, including:
adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, wherein the data label of the data object which is not updated defaults to an un-updated label;
executing a first checking rule on a data object with a data tag being an update tag in the data to be checked to obtain a first checking result;
executing a second checking rule on the data object with the data tag being an un-updated tag in the data to be checked to obtain a second checking result;
and storing the first checking result and the second checking result.
In a second aspect, the present invention provides a high-precision map data inspection apparatus comprising:
the labeling module is used for adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, and the data label of the data object which is not updated defaults to be the non-update label;
the first execution module is used for executing a first inspection rule on the data object with the data tag being the update tag in the data to be inspected to obtain a first inspection result;
the second execution module is used for executing a second inspection rule on the data object with the data tag being an un-updated tag in the data to be inspected to obtain a second inspection result;
and the storage module is used for storing the first checking result and the second checking result.
In a third aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described high-precision map data inspection method.
In a fourth aspect, the present invention provides an electronic device comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to implement the above-described high-precision map data inspection method via execution of the executable instructions.
Before data inspection, each data object in the data to be inspected is marked with a data label according to the update information of each data object in the data to be inspected, then a first inspection rule is executed for the data object with the data label being the update label in the data to be inspected, and a second inspection rule is executed for the data object with the data label being the non-update label in the data to be inspected.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic flow chart of a first embodiment of a high-precision map data inspection method according to the present invention;
FIG. 2 is a schematic diagram of a node according to the present invention;
FIG. 3 is a schematic diagram of node update information provided by the present invention;
FIG. 4 is a schematic diagram of a connecting wire according to the present invention;
FIG. 5 is a diagram of the connection line update information provided by the present invention;
FIG. 6 is a diagram illustrating a condition for determining update information according to the present invention;
fig. 7 is a schematic flow chart of a second embodiment of a high-precision map data inspection method according to the present invention;
FIG. 8 is a schematic diagram of inspection reference information provided by the present invention;
FIG. 9 is a comparison chart of examination time consumption provided by the present invention;
FIG. 10 is a comparison chart of another examination time consumption provided by the present invention;
FIG. 11 is a schematic diagram of a rule for storing identification information and version information of an inspection rule provided by the present invention;
fig. 12 is a schematic flow chart of a third embodiment of the high-precision map data inspection method provided by the present invention;
fig. 13 is a schematic structural diagram of a high-precision map data inspection device provided by the invention;
fig. 14 is a schematic hardware structure of an electronic device according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the present invention, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated.
In the prior art, when high-precision map data are checked, the data to be checked are not distinguished, and all the data are checked one by adopting a preset detection rule. The inspection method in the prior art has redundancy inspection, namely, the data which does not need to be inspected can be inspected, so that the inspection time is occupied, and the efficiency of data inspection is low.
Based on the technical problems, the invention provides a high-precision map data checking method and device. Before data inspection, the data object area contained in the data to be inspected is divided into two types by a labeling mode, wherein one type is the data object with the update label, and the other type is the data object without the update label. And further, corresponding checking rules are respectively executed for the two different data objects, so that redundant checking in the prior art is avoided, and the efficiency of data checking is improved.
The following describes the technical scheme of the present invention and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a high-precision map data inspection method according to an embodiment of the present invention. As shown in fig. 1, the high-precision map data inspection method provided in this embodiment includes:
s101, adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, and defaulting the data label of the data object which is not updated to be the non-update label.
Specifically, first, according to the update information of each data object in the data to be inspected, the data objects contained in the data to be inspected are divided into "updated data objects" and "non-updated data objects"; then, the data tag of the "updated data object" is tagged with an update tag.
It should be noted that: the data labels of the data objects which are not updated are not processed, and the data labels are directly defaulted to be not updated.
The update label described above needs to be maintained, that is, after the data to be checked is checked, before the new version operation of the data is started, the data needs to be batched to remove the update label.
Specifically, the data objects included in the data to be inspected are classified into: node and connecting line Link. The update information of the data object indicates the update information of the Node or the update information of the Link.
The marking method comprises the following steps of: and adding an update label to the data label of the updated data object in the data to be checked according to the geometric position and the update information of the attribute information of each data object in the data to be checked.
The following illustrates how data objects can be tagged in a data-tagged manner in both Node and Link cases:
in the first case, the data object is Node.
Referring to fig. 2, assuming that the connection line entering the Node is a link a and the connection line exiting the Node is a link b, update information of the Node geometric location, update information of the Node attribute information, update information of the link a geometric location, update information of the link ka attribute information, update information of the link b geometric location, update information of the link b attribute information are acquired respectively. Assuming, referring to fig. 3, that the obtained geometric positions and attribute information of the Node, the link a and the link b are not changed, it indicates that the Node is not updated, and no processing is performed on the data label of the Node, that is, the data label of the Node is directly defaulted to be an unexplored label.
Accordingly, if the geometric position or attribute information of any one of Node, link a or link b in fig. 3 changes, an update label is added to the data label of the Node.
It should be noted that: the number of the connection lines entering the Node and the number of the connection lines exiting the Node may be plural, in which case the same processing as the processing of the links a and b is performed on all the entering links and all the exiting links.
In the second case, the data object is Link.
Referring to fig. 4, assume that a node entering a Link is a node a, a node exiting the Link is a node b, a connection line entering the Link is a Link a, and a connection line exiting the Link is a Link b. Update information of the geometric position and update information of the attribute information of Link, nodeA, nodeB, linkA and LinkB are acquired, respectively. Assuming, referring to fig. 5, that the obtained Link, nodeA, nodeB, linkA and Link b geometric location and attribute information are unchanged, it indicates that the Link is not updated, and no processing is performed on the data label of the Link, that is, the data label of the Link is directly defaulted to be an un-updated label.
Accordingly, if the geometric position or attribute information of any one of Link, nodeA, nodeB, linkA and LinkB in fig. 5 changes, an update label is added to the data label of the Link.
It should be noted that: the nodes entering the Link, the nodes exiting the Link, the connection lines entering the Link, and the connection lines exiting the Link may all have a plurality of connection lines, and in this case, the same processing as that of the nodes shown in fig. 5 is performed on all the entering nodes and the exiting nodes. All incoming and outgoing links are treated the same as the links shown in fig. 5.
In the following, an explanation will be given of how the update information of the geometric position and the update information of the attribute information in fig. 3 and 5 can be obtained in the two cases described above:
referring to fig. 6, the method for obtaining the update information of the Node geometric location may be: assuming that the Node coordinate changes to (x 1, y1, z 1) → (x 2, y2, z 2), if any value of x, y, z changes, the update information of the Node geometric position is determined as: and (3) a change.
The method for obtaining the update information of the Node attribute information comprises the following steps: if any attribute field value of the Node increases, decreases or changes, the update information of the Node attribute information is determined as follows: and (3) a change.
The method for obtaining the updated information of the Link geometric position comprises the following steps: acquiring the coordinate change of a Link starting endpoint and a shape point, and judging the updated information of the Link geometric position as follows if the coordinate of any one of the starting endpoint and the shape point is changed: and (3) a change.
The method for obtaining the update information of Link attribute information comprises the following steps: if any attribute field value of the Link increases, decreases or changes, determining that the update information of the Link attribute information is: and (3) a change.
S102, executing a first checking rule on the data object with the data tag being the update tag in the data to be checked to obtain a first checking result.
S103, executing a second checking rule on the data object with the data tag being the non-updated tag in the data to be checked, and obtaining a second checking result.
S104, storing the first checking result and the second checking result.
Specifically, the first inspection rule executed in S102 for the data object whose data tag is an update tag includes the second inspection rule executed in S103 for the data object whose data tag is an update tag, that is, in the process of data inspection, not all data objects are subjected to the same inspection, and the inspection process is eliminated in the present invention for the data object that does not need to be subjected to the data inspection. The redundant check existing in the prior art is avoided, and the efficiency of data check is improved.
According to the high-precision map data checking method provided by the embodiment, before data checking, each data object in the data to be checked is marked with a data label according to the updating information of each data object in the data to be checked, then a first checking rule is executed for the data object with the data label being the updating label in the data to be checked, and a second checking rule is executed for the data object with the data label being the non-updating label in the data to be checked.
The following describes in detail the possible implementation of checking data objects that have not been updated in connection with specific embodiments.
Fig. 7 is a flowchart illustrating a second embodiment of a high-precision map data inspection method according to the present invention. As shown in fig. 7, the high-precision map data inspection method provided in the present embodiment includes:
s701, adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, and defaulting the data label of the data object which is not updated to be the non-updated label.
The implementation manner of S701 can be referred to the above embodiments, and the disclosure is not repeated here.
S702, executing a first checking rule on the data object with the data tag being the update tag in the data to be checked, and obtaining a first checking result.
Wherein the first inspection rule includes: local inspection rules and global inspection rules.
Wherein the local inspection rule and the global inspection rule differ in inspection reference information. See fig. 8:
1) If the checking object of the checking rule is Node, if the checking reference information is Node, link entering and Link exiting, the checking rule is local checking rule.
2) If the checking object of the checking rule is Link, if the checking reference information is checking Link, starting point Node, end point Node, entering Link, exiting Link, the checking rule is local checking rule.
3) The remaining inspection rules are "global inspection rules" except for 1) and 2).
S703, judging whether the version number of the local inspection rule is consistent with the version number of the local inspection rule used when the data label is the data object of the non-updated label for the last local inspection according to the version number of the local inspection rule.
And S704, if the data labels are consistent, executing the global checking rule on the data objects with the data labels not updated in the data to be checked.
Specifically, if the version number of the local inspection rule used in the current inspection is consistent with the version number of the local inspection rule used in the last local inspection, that is, the local inspection rule used in the current inspection is consistent with the local inspection rule used in the last local inspection, then executing the global inspection rule on the data object with the data tag being the non-updated tag.
It can be seen that in the above case, for data objects for which the data tag is an update tag, a local check rule and a global check rule are performed. For data objects whose data tags are not updated tags, a global check rule is performed. That is, the data object whose data tag is not updated does not need to be locally checked, so that the data checking efficiency is improved.
For example: referring to fig. 9 and 10, assuming that 70% of the first inspection rules executed for the data object whose data tag is the update tag in S702 are "local inspection rules" and 30% are "global inspection rules", the proportion of the data object whose data tag is the update tag to the data to be inspected is 10%, and assuming that each inspection consumes the same time, it can be estimated that:
the prior art inspection takes time as follows: 1 (all data) ×100% =1
The time consumed for the inspection in this embodiment is: 0.1 (update data) 70% +1 (all data) 30% = 0.37
From the above, the inspection time consumption of the embodiment is reduced to 37% in the prior art, and the efficiency is improved by about 3 times.
S705, storing the first inspection result, the second inspection result, the local inspection rule, and the identification information and version number of the global inspection rule.
Since the version numbers of the local inspection rules need to be compared in the data inspection process, the identification information and the version numbers of the local inspection rules and the global inspection rules executed at this time can be stored while the data inspection results are stored.
Wherein, the identification information may include: an inspection rule number, which may also be referred to as an inspection rule ID, for uniquely identifying an inspection rule, and a rule identification. The rule identification is used to distinguish between "local check" and "global check".
Specifically, the identification information and version number of each local inspection rule and each global inspection rule may be stored in the manner shown in fig. 11.
Alternatively, the version number of the local inspection rule may be recorded in a data tag of the data object of the non-updated tag.
The high-precision map data checking method provided by the embodiment describes one implementation mode for checking the non-updated data in detail, and the checking time consumption can be reduced by the checking method provided by the embodiment, so that the data checking efficiency is greatly improved.
Fig. 12 is a flowchart illustrating a third embodiment of a high-precision map data inspection method according to the present invention. As shown in fig. 12, the high-precision map data inspection method provided in the present embodiment includes:
and S1201, adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, wherein the data label of the data object which is not updated defaults to be the non-updated label.
S1202, executing a first checking rule on the data object with the data tag being the update tag in the data to be checked to obtain a first checking result.
And S1203, judging whether the version number of the local inspection rule is consistent with the version number of the local inspection rule used when the data label is the data object of the non-updated label for the last local inspection according to the version number of the local inspection rule.
The implementation manner of S1201-S1203 may be referred to the above embodiments S701-S703, and the present invention is not described herein.
And S1204, if the data labels in the data to be checked are not consistent, executing the local check rule and the global check rule on the data object with the data label not updated.
Specifically, if the version number of the local inspection rule used in the current inspection is inconsistent with the version number of the local inspection rule used in the last local inspection, that is, the local inspection rule used in the current inspection is inconsistent with the local inspection rule used in the last local inspection, the local inspection rule and the global inspection rule are executed for the data object whose data tag is not updated.
It can be seen that in the above case, for data objects for which the data tag is an update tag, a local check rule and a global check rule are performed. For data objects where the data tag is an unexplored tag, local and global inspection rules are also performed.
Because the non-updated data and the updated data are in topological connection and have linkage influence, after the inspection rule is optimized and upgraded, if the non-updated data is not inspected, linkage errors of the non-updated data cannot be inspected. According to the data checking method provided by the embodiment, when the local checking rule used for the next checking is inconsistent with the local checking rule used in the last local checking, the data object with the data tag being the non-updated tag is processed in the same way as the data object with the data tag being the updated tag, so that the missing checking of linkage errors in the non-updated data after updating and optimizing the checking rule is avoided.
S1205, storing the first checking result, the second checking result, the local checking rule, and the identification information and version number of the global checking rule.
The implementation manner of S1205 is referred to S705 in the above embodiment, and the present invention is not described herein.
The method for checking the high-precision map data provided by the embodiment describes another realizable mode for checking the non-updated data in detail, and by the method for checking the embodiment, the missed checking of linkage errors in the non-updated data after updating and optimizing the checking rules is avoided.
Fig. 13 is a schematic structural diagram of the high-precision map data inspection device provided by the invention. As shown in fig. 13, the high-precision map data inspection apparatus provided by the present invention includes:
the labeling module 1301 is configured to add an update label to a data label of an updated data object in the data to be checked according to update information of each data object in the data to be checked, where the data label of the data object that is not updated defaults to an un-updated label;
a first execution module 1302, configured to execute a first inspection rule on a data object whose data tag is an update tag in the data to be inspected, to obtain a first inspection result;
a second execution module 1303, configured to execute a second inspection rule on a data object whose data tag is an update-free tag in the data to be inspected, to obtain a second inspection result;
a storage module 1304, configured to store the first inspection result and the second inspection result.
Optionally, the first checking rule includes: local inspection rules and global inspection rules; the first execution module 1302 is specifically configured to:
and executing local checking rules and global checking rules on the data object with the data tag being the update tag in the data to be checked to obtain the first checking result.
Optionally, the high-precision map data checking device provided by the invention further comprises:
and the judging module 1305 is configured to judge, according to the version number of the local inspection rule, whether the version number of the local inspection rule is consistent with the version number of the local inspection rule used when the data tag is the data object of the non-updated tag for the last local inspection.
Optionally, the second execution module 1303 is specifically configured to:
and if the version number of the local checking rule is consistent with the version number of the local checking rule used in the last local checking, executing the global checking rule on the data object of which the data tag is not updated in the data to be checked.
Optionally, the second execution module 1303 is further configured to:
and if the version number of the local checking rule is inconsistent with the version number of the local checking rule used in the last local checking, executing the local checking rule and the global checking rule on the data object of which the data label in the data to be checked is an unexpired label.
Optionally, the storage module 1304 is specifically configured to:
and storing the first checking result, the second checking result, the local checking rule, and the identification information and version number of the global checking rule.
Optionally, the version number of the local inspection rule is recorded in a data tag of the data object of the non-updated tag.
Optionally, the labeling module 1301 is specifically configured to:
and marking each data object in the data to be checked with a data tag according to the geometric position and the updating information of the attribute information of each data object in the data to be checked.
The high-precision map data inspection device provided in this embodiment may be used in the high-precision map data inspection method described in any one of the above embodiments, and its implementation principle and technical effects are similar and will not be described here again.
Fig. 14 is a schematic hardware structure of an electronic device according to the present invention. As shown in fig. 12, the electronic device of the present embodiment may include:
memory 1401 is used to store program instructions.
The processor 1402 is configured to implement the high-precision map data inspection method according to any of the foregoing embodiments when the program instructions are executed, and the specific implementation principle can be seen from the foregoing embodiments, which are not described herein again.
The present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the high-precision map data inspection method according to any of the above embodiments.
The present invention also provides a program product comprising a computer program stored in a readable storage medium, from which at least one processor can read, the at least one processor executing the computer program causing an electronic device to implement the high-precision map data inspection method according to any one of the embodiments described above.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor or in a combination of hardware and software modules within a processor.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (8)

1. A high-precision map data inspection method, characterized by comprising:
adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, wherein the data label of the data object which is not updated defaults to an un-updated label;
executing a first checking rule on a data object with a data tag being an update tag in the data to be checked to obtain a first checking result; the first inspection rule includes: local inspection rules and global inspection rules;
executing a second checking rule on the data object with the data tag being an un-updated tag in the data to be checked to obtain a second checking result;
storing the first inspection result and the second inspection result;
and before the second checking rule is executed on the data object with the data tag being the non-updated tag in the data to be checked, the method further comprises the steps of:
judging whether the version number of the local inspection rule is consistent with the version number of the local inspection rule used when the data label is the data object of the non-updated label for the last local inspection according to the version number of the local inspection rule;
and executing a second checking rule on the data object with the data tag being an unepdated tag in the data to be checked to obtain a second checking result, wherein the second checking result comprises:
if the version number of the local inspection rule is consistent with the version number of the local inspection rule used in the last local inspection, executing the global inspection rule on the data object with the data tag of the data to be inspected being an un-updated tag;
and if the data labels are inconsistent, executing the local checking rule and the global checking rule on the data objects with the data labels not updated in the data to be checked.
2. The method according to claim 1, wherein the performing a first inspection rule on the data object whose data tag is an update tag in the data to be inspected to obtain a first inspection result includes:
and executing local checking rules and global checking rules on the data object with the data tag being the update tag in the data to be checked to obtain the first checking result.
3. The method of claim 1, wherein the storing the first inspection result and the second inspection result comprises:
and storing the first checking result, the second checking result, the local checking rule, and the identification information and version number of the global checking rule.
4. A method according to claim 3, wherein the version number of the local inspection rule is recorded in a data tag of the data object of the non-updated tag.
5. The method according to any one of claims 1-4, wherein the tagging the data tag of the updated data object in the data to be inspected with the update tag according to the update information of each data object in the data to be inspected comprises:
and adding an update label to the data label of the updated data object in the data to be checked according to the geometric position and the update information of the attribute information of each data object in the data to be checked.
6. A high-precision map data inspection apparatus, comprising:
the labeling module is used for adding an update label to the data label of the updated data object in the data to be checked according to the update information of each data object in the data to be checked, and the data label of the data object which is not updated defaults to be the non-update label;
the first execution module is used for executing a first inspection rule on the data object with the data tag being the update tag in the data to be inspected to obtain a first inspection result; the first inspection rule includes: local inspection rules and global inspection rules;
the second execution module is used for executing a second inspection rule on the data object with the data tag being an un-updated tag in the data to be inspected to obtain a second inspection result;
the storage module is used for storing the first checking result and the second checking result;
the judging module is used for judging whether the version number of the local inspection rule is consistent with the version number of the local inspection rule used when the data label is the data object of the non-updated label for the last local inspection according to the version number of the local inspection rule;
the second execution module is specifically configured to execute the global inspection rule on a data object whose data tag is an update-free tag in the data to be inspected if the version number of the local inspection rule is consistent with the version number of the local inspection rule used in the previous local inspection; and if the data labels are inconsistent, executing the local checking rule and the global checking rule on the data objects with the data labels not updated in the data to be checked.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1-5.
8. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to implement the method of any of claims 1-5 via execution of the executable instructions.
CN201811640024.8A 2018-12-29 2018-12-29 High-precision map data checking method and device Active CN111382219B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811640024.8A CN111382219B (en) 2018-12-29 2018-12-29 High-precision map data checking method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811640024.8A CN111382219B (en) 2018-12-29 2018-12-29 High-precision map data checking method and device

Publications (2)

Publication Number Publication Date
CN111382219A CN111382219A (en) 2020-07-07
CN111382219B true CN111382219B (en) 2023-07-25

Family

ID=71218324

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811640024.8A Active CN111382219B (en) 2018-12-29 2018-12-29 High-precision map data checking method and device

Country Status (1)

Country Link
CN (1) CN111382219B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007033873A1 (en) * 2005-09-21 2007-03-29 Robert Bosch Gmbh Method for updating digital maps
JP2009075675A (en) * 2007-09-18 2009-04-09 Nec Computertechno Ltd Consistency check method and consistency check system
CN102567429A (en) * 2010-12-30 2012-07-11 北京四维图新科技股份有限公司 Method and device for checking connectedness of global network paths
DE102013208521A1 (en) * 2013-05-08 2014-11-13 Bayerische Motoren Werke Aktiengesellschaft Collective learning of a highly accurate road model
CN107346311A (en) * 2016-05-05 2017-11-14 高德软件有限公司 A kind of electronic map data inspection method and device
US10140199B1 (en) * 2017-09-27 2018-11-27 Allstate Insurance Company Data processing system with machine learning engine to provide output generating functions

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8521424B2 (en) * 2010-09-29 2013-08-27 Ford Global Technologies, Llc Advanced map information delivery, processing and updating

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007033873A1 (en) * 2005-09-21 2007-03-29 Robert Bosch Gmbh Method for updating digital maps
JP2009075675A (en) * 2007-09-18 2009-04-09 Nec Computertechno Ltd Consistency check method and consistency check system
CN102567429A (en) * 2010-12-30 2012-07-11 北京四维图新科技股份有限公司 Method and device for checking connectedness of global network paths
DE102013208521A1 (en) * 2013-05-08 2014-11-13 Bayerische Motoren Werke Aktiengesellschaft Collective learning of a highly accurate road model
CN107346311A (en) * 2016-05-05 2017-11-14 高德软件有限公司 A kind of electronic map data inspection method and device
US10140199B1 (en) * 2017-09-27 2018-11-27 Allstate Insurance Company Data processing system with machine learning engine to provide output generating functions

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于时空数据模型的导航电子地图增量更新技术;朱靖;《地理信息世界》;全文 *

Also Published As

Publication number Publication date
CN111382219A (en) 2020-07-07

Similar Documents

Publication Publication Date Title
US8060794B2 (en) NAND flash memory and method for managing data thereof
US20150241498A1 (en) Method of determining possibly-unused electric wire and program
CN111382219B (en) High-precision map data checking method and device
CN112328602B (en) Method, device and equipment for writing data into Kafka
CN109710626B (en) Data warehousing management method and device, electronic equipment and storage medium
CN109542860B (en) Service data management method based on HDFS and terminal equipment
CN114996283A (en) Method, device, electronic equipment and storage medium for updating road network data
CN113624245B (en) Navigation method and device, computer storage medium and electronic equipment
CN110688357B (en) Method and device for reading log type data
CN113535470A (en) Configuration backup method and device, electronic equipment and storage medium
CN113155133B (en) Method and device for determining inspection line of power equipment and electronic terminal
CN112596770B (en) Data processing method and device, electronic equipment and storage medium
CN111078714B (en) Data processing method and device
CN116662123B (en) Method and device for monitoring server component, electronic equipment and storage medium
CN113823082B (en) Navigation data processing method, device, equipment and storage medium
CN114485739B (en) Parameter calibration method and wearable device
CN117095261A (en) Shaft identification analysis method, device, equipment and storage medium
CN116932557A (en) Map road network updating method, device, medium, equipment and map making system
CN117669518A (en) File generation method, system, computer device and storage medium
CN110209727A (en) A kind of date storage method, terminal device and medium
CN114168475A (en) Double-layer structure dynamic matrix control method and system
CN114359645A (en) Image expansion method, device, equipment and storage medium based on characteristic region
CN114840720A (en) Data model generation method and device, electronic equipment and readable storage medium
CN116010408A (en) U-bit management method, device and terminal
CN114064830A (en) Navigation data automatic production method, system, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant