CN107247716B - Method and device for increasing electronic eye information, navigation chip and server - Google Patents
Method and device for increasing electronic eye information, navigation chip and server Download PDFInfo
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- CN107247716B CN107247716B CN201610634853.XA CN201610634853A CN107247716B CN 107247716 B CN107247716 B CN 107247716B CN 201610634853 A CN201610634853 A CN 201610634853A CN 107247716 B CN107247716 B CN 107247716B
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- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
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Abstract
The invention discloses a method and a device for adding electronic eye information, a navigation chip and a server, wherein the method comprises the following steps: acquiring traffic violation information; acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information; and judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information, searching a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs for the position meeting the condition, and adding the electronic eye information on the specific position point. The technical scheme provided by the invention can reduce the workload of manual collection and improve the efficiency of manual operation. In addition, the method can effectively reduce the cost, improve the utilization rate of the big data, has higher timeliness, is particularly suitable for companies with the original big data of the driving track, and improves the application of the big data.
Description
Technical Field
The invention relates to the field of geographic information systems, in particular to a method and a device for adding electronic eye information, a navigation chip and a server.
Background
With the continuous expansion of urban population, the vehicle holding amount is gradually increased, and urban roads are correspondingly expanded. However, as the number of traffic policemen increases, the speed of vehicles and urban roads is far from being kept up with, and in order to reduce the burden of traffic policemen and to automate road enforcement, electronic eyes are arranged on many roads, particularly at intersections where traffic is heavy, so that drivers who violate traffic rules can be punished, and users can also be reminded to comply with the traffic rules.
With the popularization of smart phones, geographic information systems are also increasingly used, such as electronic maps and electronic map-based navigation. In order to remind users of complying with traffic rules, at present, many electronic maps also add electronic eye information in the electronic maps according to the actual arrangement positions of electronic eyes, so that the users can be reminded during navigation.
At present, electronic eye information is added in an electronic map, electronic eyes at various positions are mainly collected on the spot based on manual work, and corresponding positions in the electronic map are added, so that when a user navigates, the user can avoid violating traffic rules through voice prompt. However, the electronic eye may be laid on a real road every day, and if the position of the electronic eye is completely collected through manual work, the cost is high, the processing is time-consuming, and the updating speed of the electronic map is slow. Thus, if the electronic eye in the electronic map is not updated in time, the probability of a user violation may increase.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for adding electronic eye information, a navigation chip and a server, so as to solve the problems of high cost and long period of adding electronic eye information in an electronic map.
To solve the above technical problem, in one aspect, an embodiment of the present invention provides a method for adding electronic eye information in an electronic map, where the method includes:
acquiring traffic violation information;
acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information;
and judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information, searching a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs for the position meeting the condition, and adding the electronic eye information on the specific position point.
Optionally, in the foregoing technical solution, the step of adding the electronic eye information to the specific location point includes:
determining a violation type according to the traffic violation information, and determining an electronic eye type corresponding to the violation type according to the violation type;
and adding the electronic eye attribute and the electronic eye type in a data configuration table of the corresponding position point in the electronic map.
Optionally, in the above technical solution, the determining whether the position where the traffic violation occurs meets the condition of adding the electronic eye information includes:
judging the driving conditions: calling the traffic track data of the area where the position where the traffic violation occurs, acquiring the driving direction of the area where the position where the traffic violation occurs and the driving quantity in the driving direction, and meeting driving conditions when the driving quantity in the corresponding driving direction is smaller than a preset value; and/or the presence of a gas in the gas,
judging the condition of the electronic eye: and reading the data of the electronic map, checking whether electronic eye information containing the violation type is arranged on a specific position point in the electronic map, and if the electronic eye information corresponding to the type is not arranged on the specific position point, conforming to the electronic eye condition.
Optionally, in the above technical solution, the acquiring traffic violation information includes: acquiring traffic violation information by calling traffic violation records or user feedback, and analyzing and processing the traffic violation information; and/or the presence of a gas in the gas,
the step of acquiring the longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information comprises the following steps:
extracting the position information of the traffic violation from the traffic violation information;
and searching a position point matched with the position information of the traffic violation from a map database according to the position information of the traffic violation, and extracting longitude and latitude coordinate information of the position point.
Optionally, the method for adding electronic eye information to the electronic map further includes:
updating and storing the electronic map added with the electronic eye information to a cloud server, and pushing the electronic map to a client in real time or informing the client to independently download; and/or the presence of a gas in the gas,
establishing a learning model for setting electronic eye information, and taking the collected electronic eye information in the electronic map and the shielded or deleted electronic eye information in the electronic map as a training library; extracting specific position point information and the adding condition of the electronic eye as a sample library; and setting electronic eye information through the learning model based on the data of the sample library, judging whether the electronic eye information added in the electronic map is correct or not according to the electronic eye information in the electronic map which is shielded or deleted in the training library, feeding back the result to the training library of the learning model, and optimizing the automatic setting of the electronic eye information.
On the other hand, to implement the method, an embodiment of the present invention provides an apparatus for adding electronic eye information in an electronic map, where the apparatus includes:
the traffic violation information acquisition module is used for acquiring traffic violation information;
the position information acquisition module is used for acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information;
the judging module is used for judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information or not according to the longitude and latitude coordinate information of the position;
and the editing module is used for searching a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs for the position meeting the condition determined by the judging module, and adding electronic eye information on the specific position point.
Optionally, in the foregoing technical solution, the editing module includes:
the identification unit is used for identifying and determining the violation type according to the traffic violation information and setting the electronic eye type corresponding to the violation type according to the determined violation type;
and the editing unit is used for adding the electronic eye attribute and the electronic eye type in the data configuration table of the corresponding position point in the electronic map.
Optionally, in the foregoing technical solution, the determining module includes:
the first judgment unit is used for calling the traffic track data of the area where the position where the traffic violation occurs, acquiring the driving direction of the area where the position where the traffic violation occurs and the driving quantity in the driving direction, and meeting driving conditions when the driving quantity in the corresponding driving direction is smaller than a preset value;
and the second judgment unit is used for reading the electronic map data, checking whether electronic eye information containing the violation type is detected on a specific position point in the electronic map, and if the electronic eye information corresponding to the type is not set on the specific position point, conforming to the electronic eye condition.
Optionally, the apparatus for adding electronic eye information to an electronic map further includes:
the training library comprises the collected electronic eye information in the electronic map and the shielded or deleted electronic eye information in the electronic map;
a sample library including extracted specific location point information and an addition condition of the electronic eye;
and the learning model is used for setting the electronic eye information based on the data of the sample library, judging whether the electronic eye information added in the electronic map is correct or not according to the electronic eye information in the electronic map which is shielded or deleted in the training library, feeding back the result to the training library and optimizing the automatic setting of the electronic eye information.
Correspondingly, the embodiment of the invention also provides a navigation chip, wherein the electronic navigation map data stored in the navigation chip comprises: the method for adding the electronic eye information in the electronic map disclosed in any one of the technical schemes is adopted to add the electronic eye information and the corresponding configured text, graphics and/or voice reminding information.
Correspondingly, the embodiment of the invention also provides a server, which is provided with:
the device for adding the electronic eye information in the electronic map according to any one of the technical schemes;
the database comprises electronic navigation map data, electronic eye information added by adopting the method for adding the electronic eye information in the electronic map disclosed in any one of the technical schemes, and correspondingly configured text, graphics and/or voice reminding information.
The technical scheme provided by the invention can reduce the workload of manual collection and improve the efficiency of manual operation. In addition, the method can effectively reduce the cost, improve the utilization rate of the big data, has higher timeliness, is particularly suitable for companies with the original big data of the driving track, and improves the application of the big data.
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 specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for adding electronic eye information in an electronic map according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for adding electronic eye information to an electronic map according to an alternative embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for adding electronic eye information to an electronic map according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an apparatus for adding electronic eye information to an electronic map according to an alternative embodiment of the present invention.
Description of the reference numerals
305 violation information obtaining module 310 position information obtaining module
315 determination module 320 editing module
325 first judging unit 330 second judging unit
335 identifying unit 340 editing unit
345 training library 350 sample library
355 apparatus for adding electronic eye information to learning model 300
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
Method embodiment
Referring to fig. 1, a method for adding electronic eye information in an electronic map according to an embodiment of the present invention includes the following steps:
{ illegal time 2015-02-2208: 10:10, serial number: 4, illegal place: intersection of mountain-in-the-mountain road and Whitebush road, illegal contents: turning around at the place where turning around is forbidden or left turning sign and marking line are forbidden, processing conditions: unprocessed, scoring: fine: 200}
As can be seen from this example, characters such as illegal time, serial number, illegal place, illegal contents, handling situation, score, fine, etc. exist in all traffic violation information made by the traffic management department, and information in the traffic violation information can be extracted according to this feature. Those skilled in the art will appreciate that the information in the traffic violation information may be extracted in other ways, such as place name, violation type, etc.
And step 110, acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information. Determining the location of the traffic violation occurrence in the traffic violation information may be accomplished in a variety of ways, as exemplified below.
For example, traffic violation information, the example does not show license plate numbers in order to avoid revealing individual privacy, as follows:
{ illegal time 2016-03-1008: 10:10, serial number 3, illegal place-Hui Zhong Bei road and Anli road intersection, illegal contents-violation of forbidden regulations, processing conditions-unprocessed, scoring:, fine: 100}
When the position of the traffic violation is determined, the keyword related to the position can be determined in advance through manual identification, for example, the keyword related to the position in this example is an "illegal place", and then the received traffic violation information is matched through sentence breaking and taking the keyword as a basis, so that the information related to the position can be extracted. In this example, the location-related information is "the intersection between the comatic north road and the ann road", and then the location names "the comatic north road" and "the ann road" can be extracted by the technology of extracting location information in the prior art, for example, by building a location name library, using the word segmentation technology to identify the location name in the location-related information, and finally determining the location of the electronic map where the traffic violation occurs through the intersection between the comatic north road and the ann road, for example, the longitude and latitude information corresponding to the intersection: and searching longitude and latitude (39.998871,116.407811) information corresponding to intersection information of the mountain-in-the-mountain road and the Huifan road from a map library, and then checking whether an electronic eye for forbidding turning around exists, wherein if the position point in the electronic map does not record the type of the electronic eye, the electronic eye information is correspondingly added.
As another way of determining the information related to the location, the keywords that will not change in the traffic violation information may be identified by processing at least two traffic violation information received in the same administrative area, for example, the two traffic violation information may be subjected to the same or operation, and the same words and symbols in the two traffic violation information may be retained. When the same or operation is carried out, the received traffic violation information needs to be preprocessed, for example, Chinese characters before 'first' are extracted. For example, after preprocessing the format, the corresponding keywords can be obtained by performing the same or subsequent processing on the following two pieces of traffic violation information.
(1) (illegal time 2015-02-2208: 10:10, serial number 4, illegal place: intersection of mountain-in-the-mountain road and Whitebush road, illegal contents: turning around at the place where turning around is forbidden or left turning mark and marking line are forbidden, processing conditions: unprocessed, scoring: fine 200}
(2) 2016-03-1008: 10:10, serial number: 3, illegal place: the intersection of the Hui Zhongbei road and the Anli road, illegal contents: violation of forbidden regulations, processing condition: unprocessed, scoring: 100 fine }
To avoid revealing individual privacy, the above examples do not show license plate numbers. After the two pieces of traffic violation information are preprocessed and subjected to the same or operation, keywords of illegal time, serial number, illegal place, illegal content, processing condition, scoring and fine can be obtained. After obtaining these keywords, the "illegal location" is further identified, for example, the "illegal location" is determined according to words such as "location", "position" and the like in a preset word stock, and then information related to the position is followed. When the (2) th traffic violation information is processed, the intersection of the hui-zhong-bei road and the ann-li road can be extracted as the information related to the position according to the sentence break, then the place names of the hui-zhong-bei road and the ann-li road can be extracted by the technology of extracting the position information in the prior art, for example, a place name library is established, the place name in the information related to the position is identified by utilizing the word segmentation technology, and finally the position where the traffic violation occurs in the electronic map, for example, the longitude and latitude information corresponding to the intersection, is determined by the intersection of the hui-zhong-bei road and the ann-li road. It should be noted that although the above example does not show the license plate number, it should be understood by those skilled in the art that, in the case of including the license plate number, the keyword of the license plate number and the specific license plate number may also be extracted by the embodiment of the present invention, for example, the keyword may be "license plate number", and the license plate number may be "jing NXXXXX".
In order to determine the position of the violation, the traffic violation information can be directly segmented and matched with the place name in the electronic map, so that the position of the fault can be determined, the longitude and latitude information of the fault can be obtained, and the detailed process is not repeated.
And step 115, judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information, if so, executing step 120, otherwise, ending the whole process. For example, the condition for adding the electronic eye information may be whether the electronic eye information exists at the position.
And step 120, for the positions meeting the conditions, searching corresponding specific position points in the electronic map data according to the longitude and latitude coordinate information of the positions where the traffic violation occurs, and adding electronic eye information on the specific position points. In the last step, the longitude and latitude information corresponding to the intersection is determined, so that an electronic eye corresponding to the longitude and latitude can be set, and a user can be reminded of cautious driving in time so as to avoid violation. As an alternative embodiment, it is possible to check whether there is an electronic eye in the electronic map first, and if not, add it again. It should be noted that, the present invention is to solve the problem that the electronic eye set on the actual road cannot be obtained in time, and therefore, the electronic eye newly set on the actual road can be added by the technical solution provided by the present invention.
Optionally, the electronic map with the added electronic eye information can be updated and stored in the cloud server, and the electronic map is pushed to the client in real time or the client is informed to download automatically, so that a user can obtain the updated electronic map in time.
In addition, as an optional implementation manner, in the above embodiment, a learning model for setting the electronic eye information may be further established, and the collected electronic eye information in the electronic map and the electronic eye information in the electronic map that is masked or deleted are used as training libraries; extracting specific position point information and the adding condition of the electronic eye as a sample library; and setting electronic eye information through the learning model based on the data of the sample library, judging whether the electronic eye information added in the electronic map is correct or not according to the electronic eye information in the electronic map which is shielded or deleted in the training library, feeding back the result to the training library of the learning model, and optimizing the automatic setting of the electronic eye information.
It should be noted that the training library may obtain samples of success or failure in setting the electronic eye information from the position information obtaining stage, the judging step, and the editing step. For example, after acquiring longitude and latitude coordinate information of a position where traffic violation occurs, a data block recorded with violation information and position point associated information may be checked in a training library to determine a setting condition of electronic eye information of the position point, and determine whether the setting is required, and if the setting is required, perform corresponding electronic eye information setting, and then record the setting condition of the electronic eye information as a sample in the training library. The judgment link and the editing link can store the judgment result in the training library as a reference sample, and the experience storage of the training library is strengthened.
In the method flow, the position where the traffic violation occurs is confirmed by analyzing the information related to the position in the traffic violation information, and the electronic eye information is added to the corresponding position in the electronic map, so that the aim of reminding a user of cautious driving nearby the position in the navigation process and avoiding the occurrence of the traffic violation can be fulfilled. By adopting the embodiment, the workload of manual collection can be reduced, and the efficiency of manual operation is improved. In addition, above-mentioned embodiment can effectual reduce cost, promotes the rate of utilization of big data, and the timeliness is higher, is particularly suitable for the company that has the big data of driving track originally, promotes the application of big data.
In the above-mentioned flow, the electronic eye is only arranged at the determined position, but how to determine the violation type is not clear. As an optional implementation mode, the invention further determines the violation type according to the traffic violation information, so that more accurate prompt can be provided for a user in the process of navigation by using the electronic map.
The type of violation recorded in the traffic violation information is regardless of the traffic violation information format made by each traffic management department. For convenience of explanation, the present invention will be further explained by taking the above-mentioned (1) th traffic violation information as an example:
{ illegal time 2015-02-2208: 10:10, serial number: 4, illegal place: intersection of mountain-in-the-mountain road and Whitebush road, illegal contents: turning around at the place where turning around is forbidden or left turning sign and marking line are forbidden, processing conditions: unprocessed, scoring: fine: 200}
Similarly, to confirm the type of violation, the type of violation may also be confirmed in the same manner as the location where the violation occurred.
For example, when the violation type is confirmed, the keyword related to the violation type can be manually identified as "illegal content", the information related to the violation type can be extracted as "turning around prohibited or left turn prohibited sign, marking line turning around prohibited" by sentence break and matching in the traffic violation information according to the keyword, and the violation type is further identified as being prohibited by word segmentation technology.
Correspondingly, the illegal contents of the keywords related to the violation types can be obtained by comparing different traffic violation information made by the same traffic management department, the information related to the violation types, which is 'turning around forbidding or the turning around forbidding the left turn mark and the marking line', is extracted, and the violation types are identified as the turning around forbidding through a word segmentation technology.
In addition, the traffic violation information can be directly segmented, and the violation types, such as prohibition of left-turn, prohibition of turning around, overspeed and the like, can be directly obtained through a word bank.
The above steps can directly determine the type of violation according to the traffic violation information. In order to confirm the violation type again, the invention also analyzes the big data through the road track data source and analyzes the driving route and the direction at the violation occurrence position, thereby confirming whether the violation type is correct.
In order to confirm the violation type, the driving direction of the area where the violation occurs and the driving quantity in the driving direction can be analyzed; the driving direction can be confirmed according to the track points of the vehicle, and the driving quantity can be counted according to the marks of the track. Further, if it is determined that the number of vehicles in the driving direction corresponding to the violation type is smaller than the preset value, for example, the number of vehicles is smaller than 100 or the number of vehicles in the direction is smaller than 1% of the number of vehicles in any other direction, it may be determined that the violation type is correct, and an electronic eye corresponding to the violation type may be added to the electronic map. It should be noted that, as an optional implementation, before the electronic eye is added, whether the electronic eye corresponding to the violation type exists in the electronic map may be checked, if the electronic eye does not exist, the violation type may be confirmed by analyzing the big data of the road track data source, and if the violation type is confirmed to be correct, the electronic eye corresponding to the violation type may be added, for example, the electronic eye that is prohibited from turning around. The electronic eye on the actual road is concerned, and the electronic eye in the electronic map can be updated in time by adopting the technical scheme provided by the invention so as to correspond to the electronic eye arranged on the actual road.
When the big data analysis is carried out on the road track data source, for example, the data of the latest month of the position where the traffic violation information occurs can be counted. Taking the above example, for example, if there are vehicles in three directions, i.e., north-south, south-north, and north-east, at the intersection of the mountain-in-the-country road and the huifan road, and there are few vehicles with a turn around at the intersection of the mountain-in-the-country road and the huifan road, it can be determined that the intersection is not allowed to turn around, and the type of violation is that turning around is prohibited.
Based on the same idea, fig. 2 shows an example process of adding electronic eye information in an electronic map, which is disclosed by the embodiment of the present invention, and the process includes the following processing modes:
And step 210, determining the position of violation according to the traffic violation information. The determination of the location of the traffic violation in the traffic violation information may be accomplished in a number of ways, such as extracting location information from natural language as is known in the art. The location in the traffic violation information is a location described in language, which may be mapped to a latitude and longitude in an electronic map. In addition, in the above embodiments, detailed description has been made on how to determine the position where the violation occurs, and details are not described here.
And step 225, adding electronic eye information corresponding to the violation type in the electronic map. After the determination can be added, the electronic eye information corresponding to the violation type can be added to the position where the violation occurs in the electronic map, for example, the electronic eye information corresponding to the violation type is added to the longitude and latitude coordinates of the position where the violation occurs.
In addition, in order to further verify the correctness of the scheme provided by the present invention, the present invention further provides a training library, in which the electronic eye information in the electronic map can be collected, for example, the training library can include the electronic eye type and the electronic eye position for each piece of electronic information, and in order to accelerate the processing speed, an index of the electronic eye information can be established, for example, the electronic eye type and the electronic eye position are operated by a hash algorithm to establish the index, so that the processing speed can be accelerated. After the longitude and latitude of the violation position and the violation type are determined, the violation position can be searched in the training library, if the violation position is searched, the corresponding electronic eye information exists in the electronic map, if the violation position is not searched, the corresponding electronic eye information needs to be added in the electronic map, and the electronic eye information can be recorded by the training library for future searching. Further, the electronic eye information existing in the determined electronic map can be shielded or deleted by the training library, and the accuracy of the specifically implemented processing flow can be further checked by using the corresponding violation information. For example, after the electronic eye information is shielded or deleted (the electronic eye information can be manually added or added according to the scheme provided by the invention), the position where the violation occurs and the violation type are determined by reading the corresponding violation information, and the corresponding electronic eye information is added in the electronic map. After the flow is finished, the training library can acquire the electronic eye information added in the electronic map, match the electronic eye information with the electronic eye information stored in the training library, check whether the electronic eye information is consistent with the electronic eye information stored in the training library, if so, the realization process according to the scheme provided by the invention is correct, otherwise, the specific realization process needs to be improved.
Device embodiment
In order to implement the implementation of the above method embodiments, an embodiment of the present invention further provides an apparatus for adding electronic eye information to an electronic map, as shown in fig. 3.
Referring to fig. 3, a schematic diagram of a device 300 for adding electronic eye information in an electronic map according to an embodiment of the present invention is shown, the device including the following components:
a violation information obtaining module 305, which may be used to obtain traffic violation information;
the location information acquiring module 310 may be configured to acquire longitude and latitude coordinate information of a location where the traffic violation occurs according to the traffic violation information;
the judging module 315 may be configured to judge whether the location where the traffic violation occurs meets the condition of adding the electronic eye information according to the longitude and latitude coordinate information of the location;
the editing module 320 may be configured to search, for the position meeting the condition determined by the determining module, a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs, and add the electronic eye information to the specific position point.
The determining module 315 may further include: a first judgment unit 325 and a second judgment unit 330. The first judging unit 325 is configured to call traffic track data of an area where a traffic violation occurs, obtain a driving direction of the area where the traffic violation occurs and a driving quantity in the driving direction, and meet driving conditions when the driving quantity is smaller than a preset value in the corresponding driving direction; the second judging unit 330 is configured to read electronic map data, check whether electronic eye information including a type of violation to be monitored exists at a specific location point in the electronic map, and if electronic eye information corresponding to the type is not set at the specific location point, meet an electronic eye condition.
The editing module 320 may further include: an identification unit 335 and an editing unit 340. The identification unit 335 is used for identifying and determining the violation type according to the traffic violation information, and setting the electronic eye type corresponding to the violation type according to the determined violation type; and the editing unit 340 is used for adding the electronic eye attribute and the electronic eye type in the data configuration table of the corresponding position point in the electronic map.
Referring to fig. 4, it is a schematic diagram of an apparatus for adding electronic eye information in an electronic map according to an alternative embodiment of the present invention. As an optional implementation manner, the apparatus 300 for adding electronic eye information to an electronic map may further include: a training library 345, a sample library 350, and a learning model 355.
Wherein, the training library 345 includes the collected electronic eye information in the electronic map, and the electronic eye information in the electronic map which is masked or deleted; the sample library 350 includes extracted specific location point information and an addition condition of the electronic eye; the learning model 355 is configured to perform electronic eye information setting based on data in the sample library, determine whether the electronic eye information added to the electronic map is correct according to the electronic eye information in the electronic map that is masked or deleted in the training library, and feed back the result to the training library to optimize automatic setting of the electronic eye information.
It should be noted that the training library 345 may obtain examples of success or failure in setting the electronic eye information from the position information obtaining module 310, the determining module 315, and the editing module 320. For example, after the location information obtaining module 310 obtains the longitude and latitude coordinate information of the location where the traffic violation occurs, the data block recorded with the violation information and the location point association information in the training library 345 may be checked to determine the setting condition of the electronic eye information of the location point, and determine whether the setting is required, if the setting is required, the editing module 320 is notified to perform corresponding setting, and then the editing module 320 records the setting condition of the electronic eye information as a sample in the training library 345. The judgment module 315 and the editing module 320 may store the judgment result as a reference sample in the training library, so as to enhance the experience storage of the training library.
Additionally, learning models 355 are often used to model decision-making problems, typically instance-based algorithms, such models often first selecting a batch of sample data and then comparing the new data to the sample data based on some approximation. In this way the best match is found. Common algorithms include k-Nearest Neighbor (KNN), Learning Vector Quantization (LVQ), and Self-Organizing Map (SOM)
Correspondingly, an embodiment of the present invention provides a navigation chip, where electronic map data stored in the navigation chip includes: the electronic eye information added by the method for adding the electronic eye information in the electronic map according to any one of the embodiments, and the corresponding configured text and/or graphic and/or voice reminding information are adopted.
Accordingly, an embodiment of the present invention provides a server, where the server is provided with: the device for adding the electronic eye information in the electronic map according to any one of the previous embodiments; the database comprises electronic navigation map data, electronic eye information added by adopting the method for adding the electronic eye information in the electronic map according to any one of the embodiments, and correspondingly configured text, graphics and/or voice reminding information.
It should be noted that, because the method and the apparatus for adding electronic eye information in an electronic map according to any of the foregoing embodiments have the above technical effects, a server and a navigation chip that use the method and the apparatus for adding electronic eye information in an electronic map according to any of the foregoing embodiments also have corresponding technical effects, and the specific implementation process thereof is similar to that in the foregoing embodiments and is not described again.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (7)
1. A method for adding electronic eye information to an electronic map, comprising:
acquiring traffic violation information;
acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information;
judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information, searching a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs for the position meeting the condition, and adding the electronic eye information on the specific position point;
wherein the step of adding electronic eye information to the specific location point comprises:
determining a violation type according to the traffic violation information, and determining an electronic eye type corresponding to the violation type according to the violation type;
adding electronic eye attributes and electronic eye types in a data configuration table of corresponding position points in the electronic map;
wherein, the judging whether the position of the traffic violation occurrence meets the condition of adding the electronic eye information comprises the following steps:
judging the driving conditions: calling the traffic track data of the area where the position where the traffic violation occurs, acquiring the driving direction of the area where the position where the traffic violation occurs and the driving quantity in the driving direction, and meeting driving conditions when the driving quantity in the corresponding driving direction is smaller than a preset value; and/or the presence of a gas in the gas,
judging the condition of the electronic eye: and reading the data of the electronic map, checking whether electronic eye information containing the violation type is arranged on a specific position point in the electronic map, and if the electronic eye information corresponding to the type is not arranged on the specific position point, conforming to the electronic eye condition.
2. The method of adding electronic eye information in an electronic map according to claim 1, wherein:
the acquiring traffic violation information comprises: acquiring traffic violation information by calling traffic violation records or user feedback, and analyzing and processing the traffic violation information; and/or the presence of a gas in the gas,
the step of acquiring the longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information comprises the following steps:
extracting the position information of the traffic violation from the traffic violation information;
and searching a position point matched with the position information of the traffic violation from a map database according to the position information of the traffic violation, and extracting longitude and latitude coordinate information of the position point.
3. The method for adding electronic eye information in an electronic map according to any one of claims 1 to 2, further comprising:
updating and storing the electronic map added with the electronic eye information to a cloud server, and pushing the electronic map to a client in real time or informing the client to independently download; and/or the presence of a gas in the gas,
establishing a learning model for setting electronic eye information, and taking the collected electronic eye information in the electronic map and the shielded or deleted electronic eye information in the electronic map as a training library; extracting specific position point information and the adding condition of the electronic eye as a sample library; and based on the data of the sample library, setting electronic eye information in the electronic map through the learning model, judging whether the electronic eye information added in the electronic map is correct or not according to the electronic eye information in the electronic map which is shielded or deleted in the training library, feeding the result back to the training library of the learning model, and optimizing the automatic setting of the electronic eye information.
4. An apparatus for adding electronic eye information to an electronic map, comprising:
the traffic violation information acquisition module is used for acquiring traffic violation information;
the position information acquisition module is used for acquiring longitude and latitude coordinate information of the position where the traffic violation occurs according to the traffic violation information;
the judging module is used for judging whether the position where the traffic violation occurs meets the condition of adding the electronic eye information or not according to the longitude and latitude coordinate information of the position;
the editing module is used for searching a corresponding specific position point in the electronic map data according to the longitude and latitude coordinate information of the position where the traffic violation occurs for the position which meets the condition and is determined by the judging module, and adding electronic eye information on the specific position point;
the editing module comprises:
the identification unit is used for identifying and determining the violation type according to the traffic violation information and setting the electronic eye type corresponding to the violation type according to the determined violation type;
an editing unit for adding the electronic eye attribute and the electronic eye type in the data configuration table of the corresponding position point in the electronic map
The judging module comprises:
the first judgment unit is used for calling the traffic track data of the area where the position where the traffic violation occurs, acquiring the driving direction of the area where the position where the traffic violation occurs and the driving quantity in the driving direction, and meeting driving conditions when the driving quantity in the corresponding driving direction is smaller than a preset value;
and the second judgment unit is used for reading the electronic map data, checking whether electronic eye information containing the violation type is detected on a specific position point in the electronic map, and if the electronic eye information corresponding to the type is not set on the specific position point, conforming to the electronic eye condition.
5. The apparatus for adding electronic eye information in an electronic map according to claim 4, further comprising:
the training library comprises the collected electronic eye information in the electronic map and the shielded or deleted electronic eye information in the electronic map;
a sample library including extracted specific location point information and an addition condition of the electronic eye;
and the learning model is used for setting the electronic eye information based on the data of the sample library, judging whether the electronic eye information added in the electronic map is correct or not according to the electronic eye information in the electronic map which is shielded or deleted in the training library, feeding back the result to the training library and optimizing the automatic setting of the electronic eye information.
6. A navigation chip is characterized in that electronic navigation map data stored in the navigation chip comprises: the electronic eye information added by the method for adding the electronic eye information in the electronic map as claimed in any one of claims 1 to 3, and the corresponding configured text graph and/or voice reminding information.
7. A server, characterized in that the server is provided with:
the device for adding electronic eye information in the electronic map according to any one of claims 4-5;
a database, comprising electronic navigation map data, electronic eye information added by adopting the method for adding the electronic eye information in the electronic map as claimed in any one of claims 1 to 3, and correspondingly configured text graphics and/or voice reminding information.
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| CN112700648B (en) * | 2020-12-30 | 2022-05-20 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining traffic violation position |
| CN112907959A (en) * | 2021-01-29 | 2021-06-04 | 北京百度网讯科技有限公司 | Electronic eye management method, device and storage medium |
| CN114646329B (en) * | 2022-05-18 | 2022-08-23 | 阿里巴巴（中国）有限公司 | Navigation prompting method and device, electronic equipment and readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101451845A (en) * | 2007-11-29 | 2009-06-10 | 阿尔派电子（中国）有限公司 | Navigation apparatus |
| CN101630441A (en) * | 2009-07-27 | 2010-01-20 | 深圳市凯立德计算机系统技术有限公司 | Navigation equipment and electronic eye management method thereof |
| CN102542830A (en) * | 2011-11-25 | 2012-07-04 | 深圳市凯立德欣软件技术有限公司 | Method and vehicle-mounted terminal for prompting electronic eye information |
| CN103489325A (en) * | 2013-06-17 | 2014-01-01 | 沈阳美行科技有限公司 | Vehicle-mounted terminal and method for improving prompt accuracy of electronic eye |
| CN104916126A (en) * | 2014-03-10 | 2015-09-16 | 昆山研达电脑科技有限公司 | Traffic violation reminding method |
-
2016
- 2016-08-05 CN CN201610634853.XA patent/CN107247716B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101451845A (en) * | 2007-11-29 | 2009-06-10 | 阿尔派电子（中国）有限公司 | Navigation apparatus |
| CN101630441A (en) * | 2009-07-27 | 2010-01-20 | 深圳市凯立德计算机系统技术有限公司 | Navigation equipment and electronic eye management method thereof |
| CN102542830A (en) * | 2011-11-25 | 2012-07-04 | 深圳市凯立德欣软件技术有限公司 | Method and vehicle-mounted terminal for prompting electronic eye information |
| CN103489325A (en) * | 2013-06-17 | 2014-01-01 | 沈阳美行科技有限公司 | Vehicle-mounted terminal and method for improving prompt accuracy of electronic eye |
| CN104916126A (en) * | 2014-03-10 | 2015-09-16 | 昆山研达电脑科技有限公司 | Traffic violation reminding method |
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