CN113254564A - Automatic checking method and device for high-precision data - Google Patents
Automatic checking method and device for high-precision data Download PDFInfo
- Publication number
- CN113254564A CN113254564A CN202110679453.1A CN202110679453A CN113254564A CN 113254564 A CN113254564 A CN 113254564A CN 202110679453 A CN202110679453 A CN 202110679453A CN 113254564 A CN113254564 A CN 113254564A
- Authority
- CN
- China
- Prior art keywords
- position information
- data
- point position
- checking
- end point
- 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.)
- Pending
Links
Images
Classifications
-
- 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
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
- G06F16/1815—Journaling file systems
Abstract
The invention discloses a method and a device for automatically checking high-precision data. Wherein, the method comprises the following steps: acquiring starting point position information and end point position information; generating navigation data according to the starting point position information and the end point position information; checking whether the navigation data meet preset conditions or not, and generating a checking result; and according to the checking result, performing checking and repairing operation. The invention solves the technical problems that in the prior art, the incidence relation between roads is often used for transformation and processing, even if data is generated through the incidence relation between lanes, the incidence relation data between lanes is only generated by manually giving lane data values or outputting and generating according to spatial positions through programs, so that the data incidence relation between lanes in the traditional data cannot be automatically checked, and data errors are easy to occur.
Description
Technical Field
The invention relates to the field of unmanned driving, in particular to an automatic checking method and device for high-precision data.
Background
Along with the continuous development of intelligent science and technology, people use intelligent equipment more and more among life, work, the study, use intelligent science and technology means, improved the quality of people's life, increased the efficiency of people's study and work.
At present, when driving data is generated, the association relationship between roads is often used for transformation and processing, even if data is generated through the association relationship between lanes, the association relationship data between lanes is only generated by manually giving lane data values or by outputting and generating according to spatial positions through a program, so that the data association relationship between lanes in the traditional data cannot be automatically checked, and data errors are easy to occur.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a high-precision data automatic checking method and device, which at least solve the technical problems that in the prior art, the incidence relation between roads is often used for conversion and processing, even if data is generated through the incidence relation between lanes, the incidence relation data between lanes is generated only by manually giving lane data values or by outputting and generating according to spatial positions through a program, so that the data incidence relation between lanes in the traditional data cannot be automatically checked, and data errors are easy to occur.
According to an aspect of an embodiment of the present invention, there is provided a method for automatically checking high-precision data, including: acquiring starting point position information and end point position information; generating navigation data according to the starting point position information and the end point position information; checking whether the navigation data meet preset conditions or not, and generating a checking result; and according to the checking result, performing checking and repairing operation.
Optionally, the obtaining of the start position information and the end position information includes: acquiring road relation data; selecting a lane entry point and a lane exit point according to the road relation data; and taking the lane entry point as the starting point position information and the lane exit point as the end point position information.
Optionally, the road contains no less than one of the lanes.
Optionally, after the checking whether the navigation data meets the preset condition and generating the checking result, the method further includes: and when the checking result is unqualified, storing the starting point position information and the end point position information into a log file.
According to another aspect of the embodiments of the present invention, there is also provided an automatic inspection apparatus for high-precision data, including: the acquisition module is used for acquiring starting point position information and end point position information; the navigation module generates navigation data according to the starting point position information and the end point position information; the checking module is used for checking whether the navigation data meet preset conditions or not and generating a checking result; and the execution module is used for executing the checking and repairing operation according to the checking result.
Optionally, the obtaining module includes: an acquisition unit configured to acquire road relationship data; the selection unit is used for selecting a lane entry point and a lane exit point according to the road relation data; a determination unit configured to use the lane entry point as the start point position information and the lane exit point as the end point position information.
Optionally, the road contains no less than one of the lanes.
Optionally, the apparatus further comprises: and the log module is used for storing the starting point position information and the end point position information into a log file when the check result is unqualified.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium including a stored program, wherein the program controls a device in which the non-volatile storage medium is located to perform an automatic checking method of high-precision data when running.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a processor and a memory; the memory is stored with computer readable instructions, and the processor is used for executing the computer readable instructions, wherein the computer readable instructions execute an automatic checking method of high-precision data.
In the embodiment of the invention, the starting point position information and the end point position information are obtained; generating navigation data according to the position information of the starting point and the end point; checking whether the navigation data meet preset conditions or not, and generating a checking result; according to the inspection result, the mode of executing the inspection and repair operation solves the technical problems that the prior art often utilizes the incidence relation between roads to carry out transformation and processing, even though data is generated through the incidence relation between lanes, the incidence relation data between lanes is only generated through manually giving lane data values or outputting and generating according to space positions through programs, so that the data incidence relation between lanes in the traditional data cannot be automatically inspected, and data errors are easy to occur.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for automatic inspection of high precision data according to an embodiment of the present invention;
fig. 2 is a block diagram of an automatic inspection apparatus for high-precision data according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for automated inspection of high precision data, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Example one
Fig. 1 is a flowchart of an automatic checking method of high-precision data according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, start point position information and end point position information are acquired.
Specifically, in order to avoid the situation that the incidence relation data between the lanes is generated only by manually giving lane data values or by outputting and generating the data according to the spatial positions by a program in the conventional data generation process, and then the data incidence relation between the lanes cannot be automatically checked, so that data errors easily occur, and simultaneously achieve the technical effects of automatically checking and repairing the lane data, the embodiment of the invention firstly needs to acquire the information of the starting position and the information of the ending position of the vehicle, wherein the information of the starting position can be determined according to the coordinates of a lane entry position or the position image information of the lane entry point on the road before the vehicle navigates, and the information of the ending position can also be acquired and acquired by collecting and acquiring the position data or the coordinate data of the vehicle driving terminal, as final end position information.
Optionally, the obtaining of the start position information and the end position information includes: acquiring road relation data; selecting a lane entry point and a lane exit point according to the road relation data; and taking the lane entry point as the starting point position information and the lane exit point as the end point position information.
Specifically, in order to obtain the starting point position information and the ending point position information according to the embodiment of the present invention, it is necessary to select and collect an entry point and an exit point of a lane according to the relationship data and the associated data of the road, and use the entry point as the starting point position information and the exit point of the lane as the ending point position information, so that after navigation data is subsequently obtained through the starting point and the ending point, a self-checking operation can be performed. For example, acquiring the start point position information a and the end point position information B includes: acquiring road relation data, and selecting a lane entry point a and a lane exit point b according to the road relation data, wherein a and b are not on the same road but have a certain road association relation. And finally, taking a lane entry point as the starting point position information A, and taking a lane exit point as the end point position information B.
Optionally, the road contains no less than one of the lanes.
Specifically, since a road may include information of a plurality of lanes, when acquiring a road relationship, the road relationship includes relationships between various lanes, and also includes a road relationship between different sets of lanes, for example, a street includes three lanes a, B, and c, a street includes three lanes d, e, and f, and a road relationship α, three lanes a, B, and c, and three lanes d, e, and f also have a corresponding relationship β, so that a set of α and β can be output as relationship data or associated data of the road.
And step S104, generating navigation data according to the starting point position information and the end point position information.
Specifically, after the position information of the starting point and the end point is acquired, the intelligent navigation data can be generated through the position information data of the starting point and the position information data of the end point, the generated navigation data can be calculated by applying a DNN deep neural network model, and the optimal path from the starting point position to the end point position is obtained, so that whether a contradiction or bug is generated or not in the process of generating the navigation data or the path information, the result generation of the preset condition can be performed through the judgment of the situation, and the inspection result is obtained.
And step S106, checking whether the navigation data meet preset conditions or not, and generating a checking result.
Specifically, the navigation data acquired in the embodiment of the present invention represents the rationality of the start point position and the end point position, if the start point position and the end point position are reasonable, the navigation data meeting the requirement of the preset condition may be generated, and if the start point position and the end point position are unreasonable or there are situations such as a topographic conflict, the navigation data meeting the requirement of the preset condition may not be generated for a long time, that is, the generated navigation data does not meet the requirement of the preset condition, and the data is performed by using the data as the inspection result, where the inspection result may be qualified or unqualified.
Optionally, after the checking whether the navigation data meets the preset condition and generating the checking result, the method further includes: and when the checking result is unqualified, storing the starting point position information and the end point position information into a log file.
Specifically, if the check result is an unqualified condition, it indicates that the route or navigation data generated by the start point position information and the end point position information in the embodiment of the present invention cannot meet the requirement of the user, that is, bug or contradictory data occurs, and the abnormal condition is stored in a log file, which is convenient for the subsequent analysis of problem data.
And step S108, according to the checking result, checking and repairing operation is executed.
Specifically, when the check result is not qualified, the embodiment of the present invention may further eliminate the situations such as the broken road of the navigation data generated by the start position information and the end position information through the secondary confirmation, and may achieve the self-checking repairing effect by repairing the lane related data after the situations such as the broken road are eliminated.
Through the embodiment, the technical problems that in the prior art, the association relationship between roads is often used for transformation and processing, even if data is generated through the association relationship between lanes, the association relationship data between lanes is generated only by manually giving lane data values or by outputting and generating according to spatial positions through a program, so that the data association relationship between lanes in the traditional data cannot be automatically checked, and data errors are easy to occur are solved.
Example two
Fig. 2 is a block diagram of an automatic inspection apparatus for high-precision data according to an embodiment of the present invention, as shown in fig. 2, the apparatus including:
and an obtaining module 20, configured to obtain the start point position information and the end point position information.
Specifically, in order to avoid the situation that the incidence relation data between the lanes is generated only by manually giving lane data values or by outputting and generating the data according to the spatial positions by a program in the conventional data generation process, and then the data incidence relation between the lanes cannot be automatically checked, so that data errors easily occur, and simultaneously achieve the technical effects of automatically checking and repairing the lane data, the embodiment of the invention firstly needs to acquire the information of the starting position and the information of the ending position of the vehicle, wherein the information of the starting position can be determined according to the coordinates of a lane entry position or the position image information of the lane entry point on the road before the vehicle navigates, and the information of the ending position can also be acquired and acquired by collecting and acquiring the position data or the coordinate data of the vehicle driving terminal, as final end position information.
Optionally, the obtaining module includes: an acquisition unit configured to acquire road relationship data; the selection unit is used for selecting a lane entry point and a lane exit point according to the road relation data; a determination unit configured to use the lane entry point as the start point position information and the lane exit point as the end point position information.
Specifically, in order to obtain the starting point position information and the ending point position information according to the embodiment of the present invention, it is necessary to select and collect an entry point and an exit point of a lane according to the relationship data and the associated data of the road, and use the entry point as the starting point position information and the exit point of the lane as the ending point position information, so that after navigation data is subsequently obtained through the starting point and the ending point, a self-checking operation can be performed. For example, acquiring the start point position information a and the end point position information B includes: acquiring road relation data, and selecting a lane entry point a and a lane exit point b according to the road relation data, wherein a and b are not on the same road but have a certain road association relation. And finally, taking a lane entry point as the starting point position information A, and taking a lane exit point as the end point position information B.
Optionally, the road contains no less than one of the lanes.
Specifically, since a road may include information of a plurality of lanes, when acquiring a road relationship, the road relationship includes relationships between various lanes, and also includes a road relationship between different sets of lanes, for example, a street includes three lanes a, B, and c, a street includes three lanes d, e, and f, and a road relationship α, three lanes a, B, and c, and three lanes d, e, and f also have a corresponding relationship β, so that a set of α and β can be output as relationship data or associated data of the road.
And the navigation module 22 generates navigation data according to the starting point position information and the end point position information.
Specifically, after the position information of the starting point and the end point is acquired, the intelligent navigation data can be generated through the position information data of the starting point and the position information data of the end point, the generated navigation data can be calculated by applying a DNN deep neural network model, and the optimal path from the starting point position to the end point position is obtained, so that whether a contradiction or bug is generated or not in the process of generating the navigation data or the path information, the result generation of the preset condition can be performed through the judgment of the situation, and the inspection result is obtained.
And the checking module 24 is configured to check whether the navigation data meets a preset condition, and generate a checking result.
Specifically, the navigation data acquired in the embodiment of the present invention represents the rationality of the start point position and the end point position, if the start point position and the end point position are reasonable, the navigation data meeting the requirement of the preset condition may be generated, and if the start point position and the end point position are unreasonable or there are situations such as a topographic conflict, the navigation data meeting the requirement of the preset condition may not be generated for a long time, that is, the generated navigation data does not meet the requirement of the preset condition, and the data is performed by using the data as the inspection result, where the inspection result may be qualified or unqualified.
Optionally, the apparatus further comprises: and the log module is used for storing the starting point position information and the end point position information into a log file when the check result is unqualified.
Specifically, if the check result is an unqualified condition, it indicates that the route or navigation data generated by the start point position information and the end point position information in the embodiment of the present invention cannot meet the requirement of the user, that is, bug or contradictory data occurs, and the abnormal condition is stored in a log file, which is convenient for the subsequent analysis of problem data.
And the execution module 26 is used for executing the checking and repairing operation according to the checking result.
Specifically, when the check result is not qualified, the embodiment of the present invention may further eliminate the situations such as the broken road of the navigation data generated by the start position information and the end position information through the secondary confirmation, and may achieve the self-checking repairing effect by repairing the lane related data after the situations such as the broken road are eliminated.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium including a stored program, wherein the program controls a device in which the non-volatile storage medium is located to perform an automatic checking method of high-precision data when running.
Specifically, the method comprises the following steps: acquiring starting point position information and end point position information; generating navigation data according to the starting point position information and the end point position information; checking whether the navigation data meet preset conditions or not, and generating a checking result; and according to the checking result, performing checking and repairing operation.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a processor and a memory; the memory is stored with computer readable instructions, and the processor is used for executing the computer readable instructions, wherein the computer readable instructions execute an automatic checking method of high-precision data.
Specifically, the method comprises the following steps: acquiring starting point position information and end point position information; generating navigation data according to the starting point position information and the end point position information; checking whether the navigation data meet preset conditions or not, and generating a checking result; and according to the checking result, performing checking and repairing operation.
Through the embodiment, the technical problems that in the prior art, the association relationship between roads is often used for transformation and processing, even if data is generated through the association relationship between lanes, the association relationship data between lanes is generated only by manually giving lane data values or by outputting and generating according to spatial positions through a program, so that the data association relationship between lanes in the traditional data cannot be automatically checked, and data errors are easy to occur are solved.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for automatically checking high-precision data is characterized by comprising the following steps:
acquiring starting point position information and end point position information;
generating navigation data according to the starting point position information and the end point position information;
checking whether the navigation data meet preset conditions or not, and generating a checking result;
and according to the checking result, performing checking and repairing operation.
2. The method of claim 1, wherein the obtaining the start point location information and the end point location information comprises:
acquiring road relation data;
selecting a lane entry point and a lane exit point according to the road relation data;
and taking the lane entry point as the starting point position information and the lane exit point as the end point position information.
3. The method of claim 2, wherein the roadway includes no less than one of the lanes.
4. The method according to claim 1, wherein after the checking whether the navigation data meets a preset condition and generating a checking result, the method further comprises:
and when the checking result is unqualified, storing the starting point position information and the end point position information into a log file.
5. An apparatus for automatically inspecting high-precision data, comprising:
the acquisition module is used for acquiring starting point position information and end point position information;
the navigation module is used for generating navigation data according to the starting point position information and the end point position information;
the checking module is used for checking whether the navigation data meet preset conditions or not and generating a checking result;
and the execution module is used for executing the checking and repairing operation according to the checking result.
6. The apparatus of claim 5, wherein the obtaining module comprises:
an acquisition unit configured to acquire road relationship data;
the selection unit is used for selecting a lane entry point and a lane exit point according to the road relation data;
a determination unit configured to use the lane entry point as the start point position information and the lane exit point as the end point position information.
7. The apparatus of claim 6, wherein the roadway includes no less than one of the lanes.
8. The apparatus of claim 5, further comprising:
and the log module is used for storing the starting point position information and the end point position information into a log file when the check result is unqualified.
9. A non-volatile storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110679453.1A CN113254564A (en) | 2021-06-18 | 2021-06-18 | Automatic checking method and device for high-precision data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110679453.1A CN113254564A (en) | 2021-06-18 | 2021-06-18 | Automatic checking method and device for high-precision data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113254564A true CN113254564A (en) | 2021-08-13 |
Family
ID=77188642
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110679453.1A Pending CN113254564A (en) | 2021-06-18 | 2021-06-18 | Automatic checking method and device for high-precision data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113254564A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103047989A (en) * | 2011-10-13 | 2013-04-17 | 株式会社电装 | Vehicle navigation system |
| CN106326254A (en) * | 2015-06-25 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Method and device for repairing driving route |
| CN106767914A (en) * | 2016-12-02 | 2017-05-31 | 百度在线网络技术（北京）有限公司 | Method and apparatus for testing the path based on the planning of high accuracy map |
| CN108398932A (en) * | 2018-01-09 | 2018-08-14 | 深圳市易成自动驾驶技术有限公司 | Automatic driving vehicle detecting system and method |
| JP2019504301A (en) * | 2015-11-30 | 2019-02-14 | 華為技術有限公司Ｈｕａｗｅｉ Ｔｅｃｈｎｏｌｏｇｉｅｓ Ｃｏ．，Ｌｔｄ． | Automated driving navigation method, apparatus and system, in-vehicle terminal, and server |
| US20200174475A1 (en) * | 2018-11-29 | 2020-06-04 | Electronics And Telecommunications Research Institute | Autonomous driving method and system |
-
2021
- 2021-06-18 CN CN202110679453.1A patent/CN113254564A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103047989A (en) * | 2011-10-13 | 2013-04-17 | 株式会社电装 | Vehicle navigation system |
| CN106326254A (en) * | 2015-06-25 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Method and device for repairing driving route |
| JP2019504301A (en) * | 2015-11-30 | 2019-02-14 | 華為技術有限公司Ｈｕａｗｅｉ Ｔｅｃｈｎｏｌｏｇｉｅｓ Ｃｏ．，Ｌｔｄ． | Automated driving navigation method, apparatus and system, in-vehicle terminal, and server |
| CN106767914A (en) * | 2016-12-02 | 2017-05-31 | 百度在线网络技术（北京）有限公司 | Method and apparatus for testing the path based on the planning of high accuracy map |
| CN108398932A (en) * | 2018-01-09 | 2018-08-14 | 深圳市易成自动驾驶技术有限公司 | Automatic driving vehicle detecting system and method |
| US20200174475A1 (en) * | 2018-11-29 | 2020-06-04 | Electronics And Telecommunications Research Institute | Autonomous driving method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107392218A (en) | A kind of car damage identification method based on image, device and electronic equipment | |
| CN104111073A (en) | Method and device for identifying inaccurate paths in map data | |
| CN109660533B (en) | Method and device for identifying abnormal flow in real time, computer equipment and storage medium | |
| CN108345689B (en) | Trademark registration success rate query method and device, and trademark registration method and device | |
| CN110738335B (en) | Test equipment management system and method | |
| CN112417122A (en) | Multi-turn question and answer method and device, computer readable storage medium and electronic equipment | |
| CN105634793A (en) | Network information processing method and c | |
| CN106331040A (en) | Method and system for making recommendation to user | |
| CN109544981A (en) | Image processing method, device, equipment and medium | |
| WO2024001309A1 (en) | Method and apparatus for generating and producing template for infrared thermal image analysis report | |
| CN112418789A (en) | Claims evaluation processing method and device, nonvolatile storage medium and electronic equipment | |
| CN113254564A (en) | Automatic checking method and device for high-precision data | |
| CN110442852B (en) | Target cost compiling method, storage medium and intelligent terminal thereof | |
| CN108133116A (en) | CAD floor plan wall thickness automatic identifying methods and system | |
| CN113781454A (en) | Vehicle damage detection method, device, equipment and storage medium | |
| CN112289026B (en) | Vehicle route restoration method, equipment and medium | |
| CN116127679A (en) | Data processing method, storage medium and system of automatic driving simulation system | |
| CN112579699A (en) | Quality monitoring method, system and storage medium for service data processing link | |
| CN111143423B (en) | Dynamic scene labeling data mining method and device and terminal | |
| CN113505188A (en) | Big data-based urban map mapping updating system and method | |
| CN111175055B (en) | Automatic driving distributed collaborative simulation method and device and terminal | |
| CN112579352A (en) | Quality monitoring result generation method, storage medium and quality monitoring system of service data processing link | |
| CN104618459A (en) | Method and system for automatically acquiring data model | |
| CN111209796B (en) | Driving behavior detection method and device, electronic equipment and medium | |
| CN115908117B (en) | Two-dimensional building model image generation method and system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210813 |