CN113065076A - Map data processing method and device, electronic equipment and storage medium - Google Patents
Map data processing method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113065076A CN113065076A CN202110449122.9A CN202110449122A CN113065076A CN 113065076 A CN113065076 A CN 113065076A CN 202110449122 A CN202110449122 A CN 202110449122A CN 113065076 A CN113065076 A CN 113065076A
- Authority
- CN
- China
- Prior art keywords
- data
- map data
- map
- reference data
- vector
- 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
- 238000003672 processing method Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims description 26
- 238000004590 computer program Methods 0.000 claims description 14
- 230000002452 interceptive effect Effects 0.000 claims description 5
- 230000003993 interaction Effects 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000012937 correction Methods 0.000 abstract description 5
- 238000007689 inspection Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000007726 management method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 101150117869 Hras gene Proteins 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- 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
Abstract
The application provides a map data processing method, a map data processing device, an electronic device and a storage medium, wherein in the manufacturing process of HAD map data, reference data and the HAD map data are compared, a log file is output when the HAD map data and the reference data are different, and then the HAD map can be corrected according to the log file, so that the accuracy of the HAD map data finally obtained after correction is improved, and the quality rate of HRA elements which can be realized by the HAD map data is improved.
Description
Technical Field
The present disclosure relates to the field of map data processing technologies, and in particular, to a map data processing method and apparatus, an electronic device, and a storage medium.
Background
At present, with the continuous development of electronic technology, the content that maps can be presented to people is more and more abundant. In addition to the plane map, the appearance of the 3D map, the satellite map and the live-action map provides people with richer experience for the perception of the map, and can provide more services such as navigation assistance, automatic driving and the like for users and vehicles. Among other things, high-precision (HAD) maps containing rich content present challenges to the processing of map data.
In the prior art, in order to implement the manufacture of HAD map data, a supplier acquires vector data of roads in a region to be processed through map acquisition equipment such as a map acquisition vehicle, a high-precision radar arranged on the map acquisition vehicle is used for acquiring point cloud data and a high-definition camera is used for acquiring image data, and then a background server of the supplier can jointly calculate the HAD map data according to the point cloud data and the image data acquired by the map acquisition equipment.
However, in the prior art, the accuracy of the HAD map data directly calculated from the vector data is poor, and the quality ratio of High Reliable Attribute (HRA) elements that can be realized by the HAD map data is reduced.
Disclosure of Invention
The application provides a map data processing method, a map data processing device, an electronic device and a storage medium, which are used for solving the technical problem that in the prior art, the accuracy of HAD map data calculated according to vector data is poor.
The first aspect of the present application provides a map data processing method, including: acquiring vector data; the vector data are used for obtaining high-precision HAD map data of a to-be-processed area, and the to-be-processed area is an area corresponding to the vector data in a map; determining HAD map data of the area to be processed according to the vector data; acquiring reference data of the HAD map data; the reference data is used for checking the accuracy of the HAD map data by combining the HAD map data; comparing whether the HAD map data and the reference data are the same; when the comparison between the HAD map data and the reference data is different, outputting a log file; the log file is used for indicating that the comparison between the HAD map data of the area to be processed and the reference data is different.
A second aspect of the present application provides a map data processing apparatus, comprising: the device comprises an input module, an HAD map data determining module, a reference data determining module, a comparing module and an output module; the input module is used for acquiring vector data; the vector data are used for obtaining high-precision HAD map data of a to-be-processed area, and the to-be-processed area is an area corresponding to the vector data in a map; the HAD map data determining module is used for determining HAD map data of the area to be processed according to the vector data; the reference data determining module is used for acquiring reference data of the HAD map data; the reference data is used for checking the accuracy of the HAD map data by combining the HAD map data; the comparison module is used for comparing whether the HAD map data and the reference data are the same or not; the output module is used for outputting a log file when the comparison between the HAD map data and the reference data is different; the log file is used for indicating that the comparison between the HAD map data of the area to be processed and the reference data is different.
A third aspect of the present application provides an electronic device comprising: a processor and a memory; wherein the memory has stored therein a computer program which, when executed by the processor, is operable to perform a map data processing method as defined in any one of the first aspect of the present application.
A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is operable to execute the map data processing method according to any one of the first aspect of the present application when executed.
In summary, according to the map data processing method, the map data processing apparatus, the electronic device, and the storage medium provided by the present application, in the process of manufacturing the HAD map data, the reference data is compared with the HAD map data, and a log file is output when the HAD map data is different from the reference data, so that the HAD map can be corrected according to the log file, thereby improving the accuracy of the HAD map data finally obtained after correction, and further improving the quality rate of the HRA elements that can be realized by the HAD map data.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a map data processing method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another embodiment of a map data processing method provided in the present application;
fig. 3 is a schematic flowchart of a map data processing method according to another embodiment of the present application;
FIG. 4 is a schematic diagram of an element alignment provided herein;
FIG. 5 is a schematic illustration of another elemental alignment provided herein;
FIG. 6 is a schematic diagram of yet another alignment of elements provided herein.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, 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 application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise 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.
The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a flowchart illustrating a map data processing method according to an embodiment of the present disclosure, wherein an execution subject of the map data processing method may be an electronic device 1 of a supplier, such as a computer, a server, and the like. Then, after the supplier acquires the vector data of the area to be processed by the map acquisition device such as the front-end map acquisition vehicle, the electronic device 1 located at the rear end may first acquire the vector data 11, and then calculate the HAD map data of the area to be processed according to the vector data 11.
However, in the map data processing method shown in fig. 1, the accuracy of the HAD map data calculated directly from the vector data 11 by an electronic device such as a server is poor, there is no basis for effective inspection and subsequent correction of the HAD map data, and each element in the HAD map data can only be checked by an inspector after the entire HAD map data is manufactured, so that the accuracy of the HAD map data cannot be ensured, and the work content of the inspector is increased. Meanwhile, the existing HAD map data has a plurality of HRA elements, and the quality rate requirement of most HRAs exceeds 99.9% due to the functional safety module related to automatic driving, but the HAD map data obtained by the method shown in fig. 1 cannot meet the quality rate requirement of High Reliable Attribute (HRA for short) elements.
Therefore, the present application further provides another map data processing method, which compares the reference data with the HAD map data in the HAD map data production process, and outputs the log file when the HAD map data is different from the reference data, so that the HAD map can be corrected according to the log file, thereby improving the accuracy of the HAD map data finally obtained after correction, and further improving the quality rate of the HRA elements that can be realized by the HAD map data.
Fig. 2 is a flowchart illustrating another embodiment of a map data processing method provided by the present application, and as shown in fig. 2, an execution subject of the map data processing method may be any electronic device 1 with related data processing capability, for example, the electronic device 1 may be a server or the like configured by a vendor for processing map data.
In the method shown in fig. 2, the electronic device as the execution subject first acquires vector data 11 of the area to be processed in order to obtain HAD map data of the area to be processed. The area to be processed may be an area divided according to a preset rule, for example, a rectangular area with a length and a width of 1 km, or the area to be processed may also be an area corresponding to vector data in a map, for example, if the electronic device obtains vector data of all areas in a certain administrative area, the area to be processed is the administrative area.
Optionally, the vector data provided by this embodiment includes one or more of the following items: the map data acquisition equipment acquires point cloud data of the area to be processed, the map data acquisition equipment acquires image data of the area to be processed, navigation map data of the area to be processed, topographic map data of the area to be processed, remote sensing data of the area to be processed and the like, and the data can include geographic element information of the area to be processed.
After obtaining the vector data of the to-be-processed area, the electronic device 1 may calculate the HAD map data 12 of the to-be-processed area according to the vector data 11 of the to-be-processed area, and the specific implementation manner of calculating the HAD map data is not limited in the present application. For example, the electronic apparatus 1 may calculate HAD map data on the basis of point cloud data and image data of a panoramic image in the vector data 11 through an HAD intelligent operation platform, and provide a database for storing HAD map data in which a file in the sqlite format is processed, and the stored HAD map data is data in the form of a vector ending in a ". HAD" suffix.
Furthermore, after acquiring the vector data 11, the electronic device 1 may further acquire reference data 13 of the HAD map data of the area to be processed, where the reference data is used to check the accuracy of the HAD map data, specifically, check the accuracy of the elements included in the HAD map data, in conjunction with the HAD map data. In this embodiment, the sequence of determining the HAD map data 12 and the reference data 13 by the electronic device 1 is not limited, and the steps of determining the HAD map data 12 and the reference data 13 may be performed by the electronic device 1 at the same time.
Subsequently, after the electronic device 1 obtains the HAD map data 12 of the area to be processed and the reference data 13, a comparison operation 14 may be performed on the HAD map data 12 and the reference data 13, and when the HAD map data 12 is different from the reference data 13, a log file 15 may be output, where the log file 15 may be used to indicate the difference between the HAD map data 12 and the reference data 13, so that the log file 15 may be used to subsequently repair the HAD map data.
In a specific implementation manner, in order to obtain the reference data 13, as shown in fig. 2, the electronic device 1, after obtaining the vector data 11, sends the vector data 11 to a device, such as a mobile phone and a tablet computer, used by an operator, and records the vector data 11 as a first device, after obtaining the reference data 13 of the HAD map data of the area to be processed according to the vector data 11, the operator inputs the first device through an interactive device, such as a mouse and a keyboard, and then after obtaining the reference data 13 input by the operator through the interactive device, the first device sends the reference data 13 to the electronic device 1, and then, for the electronic device 1, receives the reference data sent by the first device.
Optionally, the reference data provided in this embodiment is in a tag file (lbl) format, and the electronic device 1 may send the vector data 11 to the first device through an HAD intelligent tag operation platform, where the HAD intelligent tag operation platform may be used as a lightweight platform for an HRA tag production process, and is used for an operator to manually draw reference data on reference data such as a point cloud, and through the lightweight platform, a calculation amount required by the electronic device 1 to determine the reference data 13 is smaller than a calculation amount required by the electronic device 1 to determine the HAD map data 12. The sqlite formatted file is processed within the intelligent tag job platform and the stored reference data is data in the form of a vector ending with a ". lbl" suffix.
In particular, in this embodiment, the area to be processed may include vector data corresponding to multiple mapsheets, that is, the electronic device shown in fig. 2 acquires vector data of multiple mapsheets, and since the vector data of a single mapsheet is used for calculating the HAD map data, the electronic device needs to sequentially input the vector data of each mapsheet into the HAD intelligent operation platform when calculating the HAD map data, so as to sequentially obtain the HAD map data of each mapsheet. When the electronic device determines the reference data, the acquired vector data of the multiple mapsheets in the region to be processed can be simultaneously input into the HAD intelligent tag operation platform, the electronic device simultaneously sends the vector data corresponding to the multiple mapsheets to the first device, so that a worker can simultaneously determine the reference data according to the vector data of the multiple mapsheets and input the reference data into the first device, and then the electronic device receives the reference data sent by the first device and determines the reference data according to the multiple mapsheets. In a specific implementation, the electronic device may work in units of projects, vector data of a plurality of drawings received at a time corresponds to one project, and one project generally includes more than 100 drawings. The electronic equipment works through a plurality of maps simultaneously when obtaining the reference data, and compared with a single map working mode when obtaining the HAD map data, the method can avoid frequent opening and use of the reference data for many times and improve the speed when obtaining the reference data, and can break through the limitation of the map range when a worker determines the reference data by using the first equipment, and uniformly analyze the vector data in the whole area to be processed from the perspective of engineering level, thereby improving the accuracy of the reference data of elements needing long-distance tracing, such as speed-limited roads and the like in the area to be processed.
Subsequently, after the electronic device 1 shown in fig. 2 determines the HAD data 12 of the area to be processed and the reference data 13 of the area to be processed according to the vector data 11, in step 14, a comparison process may be performed on the HAD map data 12 and the reference data 13, and whether elements in the HAD map data 12 and the reference data 13 are the same or not may be compared, wherein the elements may be road positions, road closure information, road driving directions, road speed limit points, lane boundaries, lane directions, interactive lane positions, and the like in the area to be processed. Illustratively, the HAD map data 12 includes elements of at least: the system comprises a first speed limit point, a first closed road and a first exchange lane; the reference data 13 comprises at least the following elements: a second speed limit point, a second closed road and a second exchange lane; the elements in the HAD map data 12 may be compared with the corresponding elements in the reference data 13 and a log file may be output according to the comparison result.
In a specific implementation manner, the electronic device may not output the log file at the same time after the comparison between the elements in the HAD map data 12 and the corresponding elements in the reference data 13, and may not output the log file if the comparison between the elements in the HAD map data 12 and the corresponding elements in the reference data 13 is the same. At this time, the log file is used to indicate that the elements in the HAD map data 12 are different from the corresponding elements in the reference data 13. Alternatively, one log file may be used to indicate different elements in the HAD map data 12 and the reference data 13; alternatively, one log file is used to indicate a different one of the elements in the HAD map data 12 and the reference data 13, and when there are a plurality of different elements in the HAD map data 12 and the reference data 13, the electronic device will output a plurality of log files, respectively. Optionally, when the electronic device compares the HAD map data with the reference data, even if the element comparison is the same, the electronic device may record the comparison result of each element in a form, a document, or the like, so as to trace back the whole comparison process.
Finally, the generated log file can indicate that the HAD map data 12 is different from the reference data 13, and the electronic device 1 can send the log file to the staff using the first device or directly display the log file on a display page of the electronic device 1, so that the staff can view and determine the problems of the HAD map data 12 through the log file, and then correct the HAD map data 12. Alternatively, the worker may correct the reference data 13 when there is a problem with the reference data 13.
In some possible implementations, after obtaining the log file 15, the electronic device 1 shown in fig. 2 may also proceed to directly modify the HAD map data 12 through step 16, for example, modify an element indicated by the log file in the HAD map data 12 so that the element in the HAD map data 12 is protected the same as the element in the reference data 13, so as to implement automatic modification of the HAD map data.
In summary, the map data processing method provided in this embodiment can compare the reference data with the HAD map data in the HAD map data production process, and output the log file when the HAD map data is different from the reference data, so that the HAD map can be corrected according to the log file, thereby improving the accuracy of the HAD map data finally obtained after correction, and further improving the quality rate of the HRA elements that can be realized by the HAD map data, and the maximum improvement can exceed 20% as shown by test data. Meanwhile, in the embodiment, the reference data can be acquired while the HAD map data is acquired according to the vector data in a parallel manner, so that the conflict between the conventional production task of acquiring the HAD map data according to the vector data as shown in fig. 1 is avoided, and the operation speed of the HAD map data can reach 200 km/person day by adopting engineering-level operation, which is obviously higher than the operation speed of firstly generating the HAD map data and then manually performing quality inspection on the HAD map data in the technology as shown in fig. 1.
Fig. 3 is a schematic flowchart of a map data processing method according to another embodiment of the present application, where on the basis of fig. 2, fig. 3 respectively implements acquisition of HAD map data and reference data by using different operating devices, and adds a production management device and a verification device for vector data, so as to illustrate a possible implementation manner of the map processing method according to the present application in a specific industrial scenario.
Specifically, as shown in fig. 3, the management device may be configured to manage and issue vector data, issue a full-element job task MESH to the operation device a through step (i), perform full-element job by the operation device a according to the vector data, thereby obtaining HAD map data, and then, the operation device a sends the HAD map data to the inspection device a to perform a quality inspection task of conventional HAD map data in step (iii). The management equipment can also send the labeling operation task of the reference data to the operation equipment B, the operation equipment B carries out single-element operation to obtain the reference data, and then the operation equipment B sends the reference data to the inspection equipment B in the step IV to carry out the quality inspection task of the reference data. The method comprises the following steps of firstly, updating the HAD map data of the vector data, secondly, updating the HAD map data of the vector data, thirdly, updating the HAD map data of the vector data, fourthly, updating the HAD map data of the vector data, and the like, wherein the first step and the second step which are executed by the management equipment are asynchronous and do not need to wait for each other, after the HAD map data and the reference data of the vector data which are issued complete the quality inspection task, the comparison task can be triggered in the fifth. Finally, the HAD map data can be obtained after the re-inspection by the inspection device a at step ((r)).
In summary, the map data processing method provided in this embodiment includes an independent data specification, a complete process flow, an independent tool chain, and an editing platform, so that the map data processing method in this embodiment is easy to popularize and implement.
Further, the embodiment of the application also provides a specific comparison mode of several elements when the HAD map data and the reference data are compared. This is explained below with reference to fig. 4-6.
Fig. 4 is a schematic diagram of an element comparison provided in the present application, wherein the element is directed to a speed limit point in the HAD map data and the reference data. For example, if the reference data includes the first speed limit point a located between the lane boundary L1 and the lane boundary L2 on the road segment shown in fig. 4, when comparing the HAD map data with the reference data, the comparison is performed in a circular range where the preset distance R is 6 meters around the first speed limit point a of the reference data, and whether the HAD map data includes the second speed limit point b is determined to be the same, if the HAD map data includes the second limit point in the circular range of the preset distance, the comparison is performed. In fig. 4, if the HAD map data does not have the second speed limit point b within the circular range of the preset distance, the HAD map data and the reference data are compared differently, and at this time, a first log file is required to be output for indicating that the HAD map data is compared differently with the first speed limit point a of the element in the reference data. The follow-up staff can add a first speed limit point a in the HAD map data or modify a second speed limit point b into the first speed limit point a according to the first log file and the first speed limit point a in the reference data.
Fig. 5 is a schematic diagram of another element comparison provided in the present application, wherein the element is directed to a closed road in the HAD map data and the reference data. For example, the reference data includes a first closed road c in the range of c1-c2 on the road segment (the road may be represented by link) shown in fig. 5. When comparing the HAD map data with the reference data, it is compared whether a second closed road d exists in the HAD map data within the range of the first closed road c1-c2 in the reference data, and the length of overlap between the range d1-d2 of the second closed road d and the first closed road c1-c2 is greater than or equal to a first value (e.g., 0.5 m), if the HAD map data includes the second closed road d and the length of overlap between the first closed road and the second closed road is greater than or equal to the first value, the element comparison in the HAD map data and the reference data is the same. However, for the range of the first closed road c in fig. 5 between c1 and c2, the second closed road is not present in the HAD map data, or the second closed road e is present, but the length of the overlap between the range e1 to e2 of the second closed road e and the first closed road c1 to c2 is smaller than the first value, it is determined that the closed road alignment in the HAD map data and the reference data is different, and at this time, a second log file is required to be output for indicating that the alignment in the HAD map data is different from the element first closed road c alignment in the reference data. The subsequent staff can newly add the first closed road c in the HAD map data or modify the second closed road e into the first closed road c according to the first closed road c in the reference data according to the second log file.
Fig. 6 is a schematic diagram of another element alignment provided by the present application, wherein the alignment is directed to elements of the interchange lane in the HAD map data and the reference data. For example, the reference data includes a first lane f of the lane (lane may be represented by lane) in the range f1-f2 shown in fig. 6. When comparing the HAD map data with the reference data, it is compared whether or not the second interchange lane g exists in the HAD map data within the range of the first interchange lane f1-f2 of the reference data, and the length of overlap between the range g1-g2 of the second interchange lane g and the first interchange lane f1-f2 is greater than or equal to a second value (e.g., 0.5 m), if the second interchange lane g is included in the HAD map data and the length of overlap between the first interchange lane and the second interchange lane is greater than or equal to the second value, the element comparison in the HAD map data and the reference data is the same. However, for the range of the first interchange lane f in fig. 5 f1-f2, the second interchange lane h does not exist in the HAD map data, or the second interchange lane h exists, but the length of the overlap between the range h1-h2 of the second interchange lane h and the first interchange lane f1-f2 is smaller than the second value, it is determined that the alignment of the interchange lanes in the HAD map data and the reference data is different, and a third log file is required to be output for indicating that the alignment of the element first interchange lane f in the HAD map data and the reference data is different. The subsequent staff can newly add the first closed road f in the HAD map data or modify the second interchange lane g into the first interchange lane f according to the first interchange lane f in the reference data based on the third log file.
In the foregoing embodiments, the map data processing method provided in the embodiments of the present application is described, and in order to implement each function in the method provided in the embodiments of the present application, the electronic device serving as an execution subject may include a hardware structure and/or a software module, and implement each function in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether any of the above-described functions is implemented as a hardware structure, a software module, or a hardware structure plus a software module depends upon the particular application and design constraints imposed on the technical solution.
For example, the present application also provides a map data processing apparatus including: the device comprises an input module, an HAD map data determining module, a reference data determining module, a comparing module and an output module, wherein the input module is used for acquiring vector data; the vector data are used for obtaining high-precision HAD map data of a to-be-processed area, and the to-be-processed area is an area corresponding to the vector data in a map; the HAD map data determining module is used for determining HAD map data of the area to be processed according to the vector data; the reference data determining module is used for acquiring reference data of the HAD map data; the reference data is used for checking the accuracy of the HAD map data by combining the HAD map data; the comparison module is used for comparing whether the HAD map data and the reference data are the same or not; the output module is used for outputting a log file when the comparison between the HAD map data and the reference data is different; the log file is used for indicating that the comparison between the HAD map data of the area to be processed and the reference data is different. Specifically, the specific principle and implementation manner of the above steps executed by each module in the map data processing apparatus may refer to the foregoing embodiments of the present application, and are not described again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. The processing element may be a separate processing element, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus may call and execute the functions of the above determination module. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The present application further provides an electronic device comprising: a processor and a memory; the memory stores a computer program, and when the processor executes the computer program, the processor can be used for executing the map data processing method according to any one of the foregoing embodiments of the present application.
The present application also provides a computer-readable storage medium storing a computer program which, when executed, is operable to perform a map data processing method as in any one of the preceding embodiments of the present application.
The embodiment of the present application further provides a chip for executing the instruction, where the chip is used to execute the map data processing method executed by the electronic device in any of the embodiments described above in the present application.
The embodiment of the present application further provides a program product, where the program product includes a computer program, where the computer program is stored in a storage medium, and the computer program can be read from the storage medium by at least one processor, and when the computer program is executed by the at least one processor, the at least one processor can implement the map data processing method executed by the electronic device in any of the foregoing embodiments of the present application.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A map data processing method, comprising:
acquiring vector data; the vector data is used for obtaining high-precision HAD map data of a to-be-processed area, and the to-be-processed area is an area corresponding to the vector data in a map;
determining HAD map data of the area to be processed according to the vector data;
acquiring reference data of the HAD map data; wherein the reference data is used to check the accuracy of the HAD map data in conjunction with the HAD map data;
comparing whether the HAD map data and the reference data are the same;
when the comparison of the HAD map data and the reference data is different, outputting a log file; wherein the log file is used for indicating that the comparison between the HAD map data of the area to be processed and the reference data is different.
2. The method of claim 1, wherein the obtaining reference data for the HAD map data comprises:
receiving the reference data sent by the first equipment; the reference data is in an lbl format of a label file; the reference data is acquired by the first equipment through interactive equipment, and the reference data is input to the first equipment by a worker through the interactive equipment.
3. The method of claim 2, wherein the vector data corresponds to a plurality of maps;
before the receiving the reference data of the HAD map data sent by the first device according to the vector data, the method further includes:
and sending the vector data corresponding to the plurality of drawings to first equipment, so that the first equipment obtains the reference data which is determined and input by the staff according to the vector data of the plurality of drawings through the interaction equipment.
4. The method according to any one of claims 1-3, wherein after the outputting the log file, further comprising:
and correcting the HAD map data or the reference data according to the log file.
5. The method of claim 4, wherein the comparing whether the HAD map data and the reference data are the same comprises:
comparing whether a second speed limit point is included in the HAD map data within a preset distance or not by taking a first speed limit point included in the reference data as a circle center;
if the HAD map data within the preset distance comprises the second speed limit point, the comparison is the same; otherwise the match is not the same.
6. The method of claim 4, wherein the comparing the HAD map data and the reference data comprises:
comparing whether a second closed road overlapped with the first closed road is included in the HAD map data or not within the range of the first closed road included in the reference data, and whether the overlapping length is larger than or equal to a first numerical value or not; if the HAD map data comprise the second closed road and the superposition length is greater than or equal to the first numerical value, the comparison is the same; otherwise, the comparison is not the same.
7. The method of claim 4, wherein the comparing the HAD map data and the reference data comprises:
comparing whether a second exchange lane coincident with the first exchange lane is included in the HAD map data or not within the range of the first exchange lane included in the reference data, and whether the coincidence length is larger than or equal to a second numerical value or not; if the HAD map data comprise the second exchange lane and the superposition length is greater than or equal to the second numerical value, the comparison is the same; otherwise, the comparison is not the same.
8. A map data processing apparatus, characterized by comprising:
the input module is used for acquiring vector data; the vector data is used for obtaining high-precision HAD map data of a to-be-processed area, and the to-be-processed area is an area corresponding to the vector data in a map;
the HAD map data determining module is used for determining the HAD map data of the area to be processed according to the vector data;
a reference data determination module for acquiring reference data of the HAD map data; wherein the reference data is used to check the accuracy of the HAD map data in conjunction with the HAD map data;
the comparison module is used for comparing whether the HAD map data is the same as the reference data or not;
the output module is used for outputting a log file when the comparison between the HAD map data and the reference data is different; wherein the log file is used for indicating that the comparison between the HAD map data of the area to be processed and the reference data is different.
9. An electronic device, comprising: a processor and a memory; wherein the memory has stored therein a computer program which, when executed by the processor, is operable to carry out the map data processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed, is operable to execute the map data processing method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110449122.9A CN113065076A (en) | 2021-04-25 | 2021-04-25 | Map data processing method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110449122.9A CN113065076A (en) | 2021-04-25 | 2021-04-25 | Map data processing method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113065076A true CN113065076A (en) | 2021-07-02 |
Family
ID=76567853
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110449122.9A Pending CN113065076A (en) | 2021-04-25 | 2021-04-25 | Map data processing method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113065076A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107850449A (en) * | 2015-08-03 | 2018-03-27 | 通腾全球信息公司 | Method and system for generating and using locating reference datum |
| CN107944018A (en) * | 2017-12-11 | 2018-04-20 | 江苏省测绘工程院 | A kind of automatic quality detecting method of map vector positional precision based on laser point cloud data |
| CN112131335A (en) * | 2020-10-15 | 2020-12-25 | 北京百度网讯科技有限公司 | Lane-level map data processing method and device, electronic equipment and storage medium |
-
2021
- 2021-04-25 CN CN202110449122.9A patent/CN113065076A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107850449A (en) * | 2015-08-03 | 2018-03-27 | 通腾全球信息公司 | Method and system for generating and using locating reference datum |
| CN107944018A (en) * | 2017-12-11 | 2018-04-20 | 江苏省测绘工程院 | A kind of automatic quality detecting method of map vector positional precision based on laser point cloud data |
| CN112131335A (en) * | 2020-10-15 | 2020-12-25 | 北京百度网讯科技有限公司 | Lane-level map data processing method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109215372B (en) | Road network information updating method, device and equipment | |
| CN110969719A (en) | Automatic inspection method, system, terminal equipment and storage medium | |
| EP4141600A1 (en) | Positioning method and positioning apparatus | |
| CN111737377A (en) | Method and device for identifying drift trajectory, computing equipment and storage medium | |
| CN109685479A (en) | A kind of methods of exhibiting, computer installation and the computer readable storage medium of construction tunnel progress | |
| CN112734956A (en) | ETC portal determination method and device and storage medium | |
| CN116484036A (en) | Image recommendation method, device, electronic equipment and computer readable storage medium | |
| CN112100167A (en) | Quality inspection method and device for ecological protection red line data | |
| JP7146097B2 (en) | Attendance evaluation method for tunnel construction vehicle, computer device, and computer-readable storage medium | |
| CN104599161A (en) | Method and device for pricing orders based on GPS (global positioning system) coordinate points of client | |
| WO2012126230A1 (en) | Method and device for positioning traffic event information | |
| CN113065076A (en) | Map data processing method and device, electronic equipment and storage medium | |
| US8761515B2 (en) | Electronic device and method for creating measurement codes | |
| CN115388878A (en) | Map construction method and device and terminal equipment | |
| CN112256811B (en) | Map information representation method and device based on map structure | |
| CN114328700A (en) | Data checking method and device in medical data ETL task | |
| CN115406452A (en) | Real-time positioning and mapping method, device and terminal equipment | |
| CN114136327A (en) | Automatic inspection method and system for recall ratio of dotted line segment | |
| CN109885475B (en) | Page conversion rate calculation method, device, computer equipment and storage medium | |
| CN114416895A (en) | Map data processing method and device, electronic equipment and storage medium | |
| CN114116480A (en) | Method, device, medium and equipment for determining application program test coverage rate | |
| CN115238119B (en) | Method and device for analyzing position information of oblique photography photo | |
| CN106443732B (en) | Path diagram drawing method and system based on GPS | |
| CN112798006B (en) | Method, device, storage medium and terminal for analyzing difference points of different paths | |
| CN114427876B (en) | Automatic checking method and system for association relation of traffic sign |
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 |