CN110633340A - Road data mining method and device - Google Patents
Road data mining method and device Download PDFInfo
- Publication number
- CN110633340A CN110633340A CN201811161482.3A CN201811161482A CN110633340A CN 110633340 A CN110633340 A CN 110633340A CN 201811161482 A CN201811161482 A CN 201811161482A CN 110633340 A CN110633340 A CN 110633340A
- Authority
- CN
- China
- Prior art keywords
- data
- road
- network topology
- road data
- driving track
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Navigation (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a road data mining method, a road data mining device, electronic equipment and a computer-readable storage medium. The method comprises the following steps: acquiring a plurality of driving track data; comparing the acquired plurality of driving track data with the existing road data to determine newly added road data; and updating the road information of the map according to the determined newly added road data. Therefore, according to the technical scheme, the newly added road data can be determined by using the driving track data and the existing road data, the data acquired by the road information acquisition vehicle on the spot is not needed, the labor cost is saved, the resource waste is prevented, the efficiency is high, the map updating process is ensured, and the use experience of a user is enhanced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a road data mining method, a road data mining device, electronic equipment and a computer-readable storage medium.
Background
In order to facilitate the public trip and relieve traffic pressure, the method can be realized by adding a new road. In the electronic map, in order to facilitate a user to inquire and know the latest road data, the information of the electronic map is updated from time to time, and the newly added road information is added into the electronic map.
In the prior art, field investigation is performed, for example, whether a newly added road exists is determined through a road data acquisition vehicle, so that the labor cost is increased, the resource is wasted, the efficiency is not high, the map updating process is influenced, and the use experience of a user is reduced.
Disclosure of Invention
In view of the above, the present invention has been made to provide a road data mining method, apparatus, electronic device and computer-readable storage medium that overcome or at least partially solve the above problems.
According to an aspect of the present invention, there is provided a road data mining method, wherein the method comprises:
acquiring a plurality of driving track data;
comparing the acquired plurality of driving track data with the existing road data to determine newly added road data;
and updating the road information of the map according to the determined newly added road data.
Optionally, the acquiring the plurality of pieces of trajectory data includes:
and acquiring a plurality of pieces of driving track data in a designated area and/or within preset time.
Optionally, the comparing the acquired plurality of trajectory data with the existing road data, and determining the newly added road data includes:
creating road network topology network data according to the road information of the map;
judging whether road data which are not contained in the road network topology network data exist in the obtained plurality of pieces of driving track data or not according to the created road network topology network data;
if the determination result is yes, the road data which is not included in the road network topology network data is determined as the new road data.
Optionally, after determining that there is road data not included in the road network topology network data in the obtained plurality of pieces of driving trajectory data, the method further includes:
judging whether the frequency of the road data which is not contained in the road network topology network data appearing in the obtained plurality of driving track data is greater than or equal to a preset value or not;
if the determination result is yes, determining the road corresponding to the road data which is not included in the road network topology network data as the new road data.
Optionally, after determining that there is road data not included in the road network topology network data in the obtained plurality of pieces of driving trajectory data, the method further includes:
acquiring POI data of each interest point in a designated area of a map corresponding to road data which is not contained in road network topology network data;
judging scene information of the designated area according to the acquired POI data of each interest point;
and when the scene information of the specified area accords with the road addition condition, determining the road data which is not contained in the road network topology network data as the added road data.
Optionally, the method further comprises:
acquiring field investigation data of the determined newly added road data;
and verifying the determined newly added road data according to the acquired field investigation data.
According to another aspect of the present invention, there is provided a road data mining apparatus, wherein the apparatus comprises:
the acquisition unit is suitable for acquiring a plurality of driving track data;
the determining unit is suitable for comparing the acquired plurality of the driving track data with the existing road data to determine newly added road data;
and the updating unit is suitable for updating the road information of the map according to the determined newly added road data.
Alternatively,
the acquisition unit is suitable for acquiring a plurality of pieces of driving track data in a designated area and/or preset time.
Alternatively,
the determining unit is suitable for creating road network topology network data according to the road information of the map; judging whether road data which are not contained in the road network topology network data exist in the obtained plurality of pieces of driving track data or not according to the created road network topology network data; if the determination result is yes, the road data which is not included in the road network topology network data is determined as the new road data.
Alternatively,
the determining unit is suitable for determining whether the frequency of the road data which is not contained in the road network topology network data appearing in the acquired plurality of the driving track data is greater than or equal to a preset value or not after determining that the road data which is not contained in the road network topology network data exists in the acquired plurality of the driving track data; if the determination result is yes, determining the road corresponding to the road data which is not included in the road network topology network data as the new road data.
Alternatively,
the determining unit is suitable for acquiring POI data of each interest point in a designated area of the map corresponding to the road data which is not included in the road network topology network data after judging that the road data which is not included in the road network topology network data exists in the plurality of acquired driving path data; judging scene information of the designated area according to the acquired POI data of each interest point; and when the scene information of the specified area accords with the road addition condition, determining the road data which is not contained in the road network topology network data as the added road data.
Optionally, the apparatus further comprises:
the verification unit is suitable for acquiring field investigation data of the determined newly-added road data; and verifying the determined newly added road data according to the acquired field investigation data.
According to still another aspect of the present invention, there is provided an electronic apparatus, wherein the electronic apparatus includes:
a processor; and the number of the first and second groups,
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method according to the foregoing.
According to yet another aspect of the present invention, there is provided a computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the aforementioned method.
According to the technical scheme of the invention, a plurality of driving track data are obtained; comparing the acquired plurality of driving track data with the existing road data to determine newly added road data; and updating the road information of the map according to the determined newly added road data. Therefore, according to the technical scheme, the newly added road data can be determined by using the driving track data and the existing road data, the data acquired by the road information acquisition vehicle on the spot is not needed, the labor cost is saved, the resource waste is prevented, the efficiency is high, the map updating process is ensured, and the use experience of a user is enhanced.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a schematic flow diagram of a road data mining method according to one embodiment of the invention;
FIG. 2 is a schematic structural diagram of a road data mining device according to an embodiment of the present invention;
FIG. 3 shows a schematic structural diagram of an electronic device according to one embodiment of the invention;
fig. 4 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 shows a schematic flow diagram of a road data mining method according to an embodiment of the invention. As shown in fig. 1, the method includes:
step S110, a plurality of driving track data are obtained.
If the new road exists, the user can drive the vehicle through the new road, that is, the trajectory data of the user includes the new road data. And in order to ensure the data accuracy, a plurality of driving track data need to be acquired.
Preferably, the driving trace data of each user may be acquired through the GPS data of the user, and/or the historical driving trace data uploaded by each user is used as the driving trace data in this embodiment.
And step S120, comparing the acquired plurality of the driving track data with the existing road data, and determining newly added road data.
In this embodiment, in order to determine the new road data from the plurality of pieces of trajectory data, the obtained plurality of pieces of trajectory data are compared with the existing road data, for example, the trajectory data includes a road 1, but the existing road data does not include the road 1 data, so that it may be determined that the road 1 is the new road.
And step S130, updating the road information of the map according to the determined new road data.
And if the new road is determined, acquiring new road data, such as position data, length data and the like. The road information of the map is updated for real-time map.
Therefore, according to the embodiment, the newly added road data is determined by comparing the traffic track data with the existing road data, the data acquired by the road information acquisition vehicle on the spot is not needed, the labor cost is saved, the waste of resources is prevented, the efficiency is high, the map updating process is ensured, and the use experience of a user is enhanced.
In one embodiment of the present invention, the acquiring a plurality of driving trace data in step S110 of the method shown in fig. 1 includes: and acquiring a plurality of pieces of driving track data in a designated area and/or within preset time.
Considering that the map may include a large range and some areas may not have new roads, when acquiring the trajectory data, the trajectory data in the designated area may be acquired to improve efficiency and accuracy.
Meanwhile, in consideration of timeliness and the traffic time of the newly added road, the method and the device for acquiring the traffic track data in the preset time in the embodiment can improve efficiency and accuracy by acquiring the traffic track data in a month before the current time point of the traffic track data, for example.
In this embodiment, only the trajectory data of the area may be specified, only the trajectory data within the preset time may be acquired, and also the trajectory data within the preset time of the specified area may be acquired.
In an embodiment of the present invention, the comparing the acquired plurality of trajectory data with the existing road data in step S120 of the method shown in fig. 1, and determining the new road data includes: creating road network topology network data according to the road information of the map; judging whether road data which are not contained in the road network topology network data exist in the obtained plurality of pieces of driving track data or not according to the created road network topology network data; if the determination result is yes, the road data which is not included in the road network topology network data is determined as the new road data.
When comparing the acquired plurality of pieces of driving track data with the existing road data, the embodiment is realized by comparing the acquired plurality of pieces of driving track data with the road network topology network data, and if the difference between the acquired plurality of pieces of driving track data and the road network topology network data is larger, the new road data can be determined if a new road exists. The road network topology network data is formed based on road data information of an electronic map, is data of each road and connection data information between each road, and is data in a topology network structure form.
When the comparison is performed, it is specifically determined whether road data which is not included in the road network topology network data exists in the acquired plurality of pieces of driving track data. For example, the acquired driving track data is road 1- > road 2- > road 3, but according to the road network topology network data, if the road 3 is to be reached from the road 1, the road 4 and the road 5 need to be passed through, but the road 3 can be reached through the road 2 in the acquired driving track data, and according to the information such as the position of the road 2, the road 2 is not included in the road network topology network data, so the road 2 is determined as the new road; or, if the road 6 is needed to be passed through to reach the road 3 from the road 1, but the driving track data is arrived from the road 2, and the road network topology network data is not included according to the information such as the position of the road 2, so the road 2 is determined as the new road.
Preferably, after determining that there is road data not included in the road network topology network data in the plurality of acquired trajectory data in the above embodiment, the method shown in fig. 1 further includes: judging whether the frequency of the road data which is not contained in the road network topology network data appearing in the obtained plurality of driving track data is greater than or equal to a preset value or not; if the determination result is yes, determining the road corresponding to the road data which is not included in the road network topology network data as the new road data. If not, determining that the road corresponding to the road data which is not included in the road network topology network data is not the new road data.
In view of the fact that if the new road determined in the above-described embodiment is cancelled (no longer displayed on the map), such a road is rarely passed by vehicles, i.e., the trajectory data, and the road should not be determined as the new road, therefore, in order to make the determined new road more accurate, in the present embodiment, the frequency of use of the determined new road, i.e., the frequency of occurrence in the trajectory data is also taken into consideration, and if the frequency is greater, which indicates that the user determines that the road is used more, it can be accurately determined that the road is indeed newly increased.
For example, it is determined that the road 1 is the new road through the above embodiment, but the road 1 appears only 2 times in the acquired 100 pieces of trajectory data, and it is determined that the road 1 is not the new road. If the road 1 appears only 80 times in the acquired 100 pieces of trajectory data, it is determined that the road 1 is the new road.
Further, after determining that there is road data that is not included in the road network topology network data in the plurality of acquired trajectory data in the above embodiment, the method shown in fig. 1 further includes: acquiring POI data of each interest point in a designated area of a map corresponding to road data which is not contained in road network topology network data; judging scene information of the designated area according to the acquired POI data of each interest point; and when the scene information of the specified area accords with the road addition condition, determining the road data which is not contained in the road network topology network data as the added road data.
It is considered that not all regions are suitable for the newly added road. In this embodiment, the scene information of the area is determined according to the POI data of the map, and whether the area is suitable for a newly added road is determined according to the scene information.
POI (Point of interest), a point of interest, is important information in a geographic information system, and may even be referred to as a cornerstone of the entire map navigation industry. In the geographic information system, one piece of POI data may be one house, one shop, one mailbox, one bus station, and the like. The traditional geographic information acquisition method requires a mapping staff to acquire the longitude and latitude of a POI by using a precise mapping instrument and then mark the POI. In the internet, the base map data obtained by mapping is made into an electronic map, and naturally, the electronic map can be labeled and displayed in the electronic map according to the longitude and latitude of the POI data.
From the POI data, it can be determined what kind of scene the corresponding area belongs to, for example, school, hospital, park, green land, mountain area, desert, etc. The determination can be made only when the scene information of the specified area meets the road addition condition. The road addition condition may be set by itself, for example, a form of a black list is set, and if the scene information is included in the black list, the road data that is not included in the road network topology network data in the area is not acquired as the new road. For example, in a desert or a mountain area, where no new road is suitable, it is considered that the road data in the desert or the mountain area, which is not included in the road network topology network data, is not new data, and may be the driving track data formed by the donkey friend driving to the camping.
In one embodiment of the present invention, the method shown in fig. 1 further comprises: acquiring field investigation data of the determined newly added road data; and verifying the determined newly added road data according to the acquired field investigation data.
In this embodiment, the newly added road data may be further verified, where the field investigation data may be road data collected by a road data collection vehicle, or road data actively uploaded by a user. The accuracy of the newly added road data can be further ensured.
Fig. 2 is a schematic structural diagram of a road data mining device according to an embodiment of the present invention. As shown in fig. 2, the road data mining device 200 includes:
an obtaining unit 210 adapted to obtain a plurality of trajectory data;
if the new road exists, the user can drive the vehicle through the new road, that is, the trajectory data of the user includes the new road data. And in order to ensure the data accuracy, a plurality of driving track data need to be acquired.
Preferably, the driving trace data of each user may be acquired through the GPS data of the user, and/or the historical driving trace data uploaded by each user is used as the driving trace data in this embodiment.
The determining unit 220 is adapted to compare the acquired plurality of trajectory data with existing road data to determine newly added road data;
in this embodiment, in order to determine the new road data from the plurality of pieces of trajectory data, the obtained plurality of pieces of trajectory data are compared with the existing road data, for example, the trajectory data includes a road 1, but the existing road data does not include the road 1 data, so that it may be determined that the road 1 is the new road.
The updating unit 230 is adapted to update the road information of the map according to the determined new road data.
And if the new road is determined, acquiring new road data, such as position data, length data and the like. The road information of the map is updated for real-time map.
Therefore, according to the embodiment, the newly added road data is determined by comparing the traffic track data with the existing road data, the data acquired by the road information acquisition vehicle on the spot is not needed, the labor cost is saved, the waste of resources is prevented, the efficiency is high, the map updating process is ensured, and the use experience of a user is enhanced.
In an embodiment of the present invention, the obtaining unit 210 shown in fig. 2 is adapted to obtain a plurality of driving trace data in a designated area and/or within a preset time.
Considering that the map may include a large range and some areas may not have new roads, when acquiring the trajectory data, the trajectory data in the designated area may be acquired to improve efficiency and accuracy.
Meanwhile, in consideration of timeliness and the traffic time of the newly added road, the method and the device for acquiring the traffic track data in the preset time in the embodiment can improve efficiency and accuracy by acquiring the traffic track data in a month before the current time point of the traffic track data, for example.
In this embodiment, only the trajectory data of the area may be specified, only the trajectory data within the preset time may be acquired, and also the trajectory data within the preset time of the specified area may be acquired.
In an embodiment of the present invention, the determining unit 220 shown in fig. 2 is adapted to create road network topology network data according to road information of a map; judging whether road data which are not contained in the road network topology network data exist in the obtained plurality of pieces of driving track data or not according to the created road network topology network data; if the determination result is yes, the road data which is not included in the road network topology network data is determined as the new road data.
When comparing the acquired plurality of pieces of driving track data with the existing road data, the embodiment is realized by comparing the acquired plurality of pieces of driving track data with the road network topology network data, and if the difference between the acquired plurality of pieces of driving track data and the road network topology network data is larger, the new road data can be determined if a new road exists. The road network topology network data is formed based on road data information of an electronic map, is data of each road and connection data information between each road, and is data in a topology network structure form.
When the comparison is performed, it is specifically determined whether road data which is not included in the road network topology network data exists in the acquired plurality of pieces of driving track data. For example, the acquired driving track data is road 1- > road 2- > road 3, but according to the road network topology network data, if the road 3 is to be reached from the road 1, the road 4 and the road 5 need to be passed through, but the road 3 can be reached through the road 2 in the acquired driving track data, and according to the information such as the position of the road 2, the road 2 is not included in the road network topology network data, so the road 2 is determined as the new road; or, if the road 6 is needed to be passed through to reach the road 3 from the road 1, but the driving track data is arrived from the road 2, and the road network topology network data is not included according to the information such as the position of the road 2, so the road 2 is determined as the new road.
Preferably, on the basis of the above embodiment, the determining unit 220 is adapted to determine whether the frequency of occurrence of the road data not included in the road network topology network data in the acquired plurality of pieces of driving track data is greater than or equal to a preset value after determining that the road data not included in the road network topology network data exists in the acquired plurality of pieces of driving track data; if the determination result is yes, determining the road corresponding to the road data which is not included in the road network topology network data as the new road data. If not, determining that the road corresponding to the road data which is not included in the road network topology network data is not the new road data.
In view of the fact that if the new road determined in the above-described embodiment is cancelled (no longer displayed on the map), such a road is rarely passed by vehicles, i.e., the trajectory data, and the road should not be determined as the new road, therefore, in order to make the determined new road more accurate, in the present embodiment, the frequency of use of the determined new road, i.e., the frequency of occurrence in the trajectory data is also taken into consideration, and if the frequency is greater, which indicates that the user determines that the road is used more, it can be accurately determined that the road is indeed newly increased.
For example, it is determined that the road 1 is the new road through the above embodiment, but the road 1 appears only 2 times in the acquired 100 pieces of trajectory data, and it is determined that the road 1 is not the new road. If the road 1 appears only 80 times in the acquired 100 pieces of trajectory data, it is determined that the road 1 is the new road.
Further, the determining unit 220 is adapted to, after determining that there is road data that is not included in the road network topology network data in the obtained plurality of pieces of driving trajectory data, obtain each POI data in a specified area of the map corresponding to the road data that is not included in the road network topology network data; judging scene information of the designated area according to the acquired POI data of each interest point; and when the scene information of the specified area accords with the road addition condition, determining the road data which is not contained in the road network topology network data as the added road data.
It is considered that not all regions are suitable for the newly added road. In this embodiment, the scene information of the area is determined according to the POI data of the map, and whether the area is suitable for a newly added road is determined according to the scene information.
POI (Point of interest), a point of interest, is important information in a geographic information system, and may even be referred to as a cornerstone of the entire map navigation industry. In the geographic information system, one piece of POI data may be one house, one shop, one mailbox, one bus station, and the like. The traditional geographic information acquisition method requires a mapping staff to acquire the longitude and latitude of a POI by using a precise mapping instrument and then mark the POI. In the internet, the base map data obtained by mapping is made into an electronic map, and naturally, the electronic map can be labeled and displayed in the electronic map according to the longitude and latitude of the POI data.
From the POI data, it can be determined what kind of scene the corresponding area belongs to, for example, school, hospital, park, green land, mountain area, desert, etc. The determination can be made only when the scene information of the specified area meets the road addition condition. The road addition condition may be set by itself, for example, a form of a black list is set, and if the scene information is included in the black list, the road data that is not included in the road network topology network data in the area is not acquired as the new road. For example, in a desert or a mountain area, where no new road is suitable, it is considered that the road data in the desert or the mountain area, which is not included in the road network topology network data, is not new data, and may be the driving track data formed by the donkey friend driving to the camping.
In one embodiment of the present invention, the apparatus shown in fig. 2 further comprises:
the verification unit is suitable for acquiring field investigation data of the determined newly-added road data; and verifying the determined newly added road data according to the acquired field investigation data.
In this embodiment, the newly added road data may be further verified, where the field investigation data may be road data collected by a road data collection vehicle, or road data actively uploaded by a user. The accuracy of the newly added road data can be further ensured.
In summary, according to the technical scheme of the invention, a plurality of driving track data are acquired; comparing the acquired plurality of driving track data with the existing road data to determine newly added road data; and updating the road information of the map according to the determined newly added road data. Therefore, according to the technical scheme, the newly added road data can be determined by using the driving track data and the existing road data, the data acquired by the road information acquisition vehicle on the spot is not needed, the labor cost is saved, the resource waste is prevented, the efficiency is high, the map updating process is ensured, and the use experience of a user is enhanced.
It should be noted that:
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that microprocessors or Digital Signal Processors (DSPs) may be used in practice to implement some or all of the functions of some or all of the components of the road data mining apparatus, electronics and computer readable storage medium according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
For example, fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the invention. The electronic device 300 conventionally comprises a processor 310 and a memory 320 arranged to store computer-executable instructions (program code). The memory 320 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Memory 320 has storage space 330 for storing program code 340 for performing the method steps shown in fig. 1 and in any of the embodiments. For example, the storage space 330 for the program code may comprise respective program codes 340 for implementing respective steps in the above method. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is generally a computer-readable storage medium 400 such as described in fig. 4. The computer-readable storage medium 400 may have memory segments, memory spaces, etc. arranged similarly to the memory 320 in the electronic device of fig. 3. The program code may be compressed, for example, in a suitable form. In general, the memory unit stores a program code 410 for performing the steps of the method according to the invention, i.e. a program code readable by a processor such as 310, which program code, when executed by an electronic device, causes the electronic device to perform the individual steps of the method described above.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method of road data mining, wherein the method comprises:
acquiring a plurality of driving track data;
comparing the acquired plurality of driving track data with the existing road data to determine newly added road data;
and updating the road information of the map according to the determined newly added road data.
2. The method of claim 1, wherein said obtaining a plurality of trajectory data comprises:
and acquiring a plurality of pieces of driving track data in a designated area and/or within preset time.
3. The method of claim 1 or 2, wherein comparing the acquired plurality of trajectory data with existing road data, and determining new road data comprises:
creating road network topology network data according to the road information of the map;
judging whether road data which are not contained in the road network topology network data exist in the obtained plurality of pieces of driving track data or not according to the created road network topology network data;
if the determination result is yes, the road data which is not included in the road network topology network data is determined as the new road data.
4. The method of any one of claims 1 to 3, wherein after determining that there is road data not included in the road network topology network data in the acquired plurality of trajectory data, the method further comprises:
judging whether the frequency of the road data which is not contained in the road network topology network data appearing in the obtained plurality of driving track data is greater than or equal to a preset value or not;
if the determination result is yes, determining the road corresponding to the road data which is not included in the road network topology network data as the new road data.
5. The method of any one of claims 1 to 4, wherein after determining that there is road data not included in the road network topology network data in the acquired plurality of trajectory data, the method further comprises:
acquiring POI data of each interest point in a designated area of a map corresponding to road data which is not contained in road network topology network data;
judging scene information of the designated area according to the acquired POI data of each interest point;
and when the scene information of the specified area accords with the road addition condition, determining the road data which is not contained in the road network topology network data as the added road data.
6. The method of any one of claims 1 to 5, wherein the method further comprises:
acquiring field investigation data of the determined newly added road data;
and verifying the determined newly added road data according to the acquired field investigation data.
7. A road data mining device, wherein the device comprises:
the acquisition unit is suitable for acquiring a plurality of driving track data;
the determining unit is suitable for comparing the acquired plurality of the driving track data with the existing road data to determine newly added road data;
and the updating unit is suitable for updating the road information of the map according to the determined newly added road data.
8. The apparatus of claim 7, wherein,
the acquisition unit is suitable for acquiring a plurality of pieces of driving track data in a designated area and/or preset time.
9. An electronic device, wherein the electronic device comprises:
a processor; and the number of the first and second groups,
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform a method according to any one of claims 1 to 6.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811161482.3A CN110633340A (en) | 2018-09-30 | 2018-09-30 | Road data mining method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811161482.3A CN110633340A (en) | 2018-09-30 | 2018-09-30 | Road data mining method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110633340A true CN110633340A (en) | 2019-12-31 |
Family
ID=68968237
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811161482.3A Pending CN110633340A (en) | 2018-09-30 | 2018-09-30 | Road data mining method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110633340A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742437A (en) * | 2021-08-18 | 2021-12-03 | 北京百度网讯科技有限公司 | Map updating method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101694392A (en) * | 2009-09-29 | 2010-04-14 | 北京四维图新科技股份有限公司 | Map updating method of guidance terminal, guidance terminal and system thereof |
| CN101763347A (en) * | 2008-12-24 | 2010-06-30 | 中国移动通信集团河北有限公司 | GIS (Geographical Information System) interface platform as well as network GIS management system and management method |
| US20140361973A1 (en) * | 2013-06-06 | 2014-12-11 | Honda Motor Co., Ltd. | System and method for multimodal human-vehicle interaction and belief tracking |
| CN106211066A (en) * | 2016-06-30 | 2016-12-07 | 百度在线网络技术（北京）有限公司 | For obtaining the methods, devices and systems of POI data |
| CN106610981A (en) * | 2015-10-22 | 2017-05-03 | 北京四维图新科技股份有限公司 | Verification and upgrading method and system for road information in electronic map |
| CN107247718A (en) * | 2016-12-19 | 2017-10-13 | 北京四维图新科技股份有限公司 | Update method and device, the navigation system and server of a kind of map datum |
| US20170337739A1 (en) * | 2011-07-01 | 2017-11-23 | Intel Corporation | Mobile augmented reality system |
-
2018
- 2018-09-30 CN CN201811161482.3A patent/CN110633340A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763347A (en) * | 2008-12-24 | 2010-06-30 | 中国移动通信集团河北有限公司 | GIS (Geographical Information System) interface platform as well as network GIS management system and management method |
| CN101694392A (en) * | 2009-09-29 | 2010-04-14 | 北京四维图新科技股份有限公司 | Map updating method of guidance terminal, guidance terminal and system thereof |
| US20170337739A1 (en) * | 2011-07-01 | 2017-11-23 | Intel Corporation | Mobile augmented reality system |
| US20140361973A1 (en) * | 2013-06-06 | 2014-12-11 | Honda Motor Co., Ltd. | System and method for multimodal human-vehicle interaction and belief tracking |
| CN106610981A (en) * | 2015-10-22 | 2017-05-03 | 北京四维图新科技股份有限公司 | Verification and upgrading method and system for road information in electronic map |
| CN106211066A (en) * | 2016-06-30 | 2016-12-07 | 百度在线网络技术（北京）有限公司 | For obtaining the methods, devices and systems of POI data |
| CN107247718A (en) * | 2016-12-19 | 2017-10-13 | 北京四维图新科技股份有限公司 | Update method and device, the navigation system and server of a kind of map datum |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742437A (en) * | 2021-08-18 | 2021-12-03 | 北京百度网讯科技有限公司 | Map updating method and device, electronic equipment and storage medium |
| CN113742437B (en) * | 2021-08-18 | 2023-09-01 | 北京百度网讯科技有限公司 | Map updating method, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109781122B (en) | High-precision map updating method and device | |
| US7698060B2 (en) | Map data product and map data processing device | |
| US10101165B2 (en) | Electronic device and method for planning tour route | |
| CN104869634B (en) | The modification method and device of positioning result | |
| US11062063B2 (en) | System and method for generating vehicle travel data | |
| CN104422451A (en) | Road recognition method and road recognition apparatus | |
| CN113847925A (en) | Method, device, equipment and medium for detecting vehicle yaw based on track data | |
| CN106595682A (en) | Differential updating method and system of map data, and server | |
| US10754062B2 (en) | Selecting a weather estimation algorithm and providing a weather estimate | |
| CN112561410B (en) | Method and device for determining emission of road vehicle and electronic equipment | |
| CN112612975B (en) | Method, device, equipment and storage medium for identifying type of commonly-transported goods of vehicle | |
| US9591448B2 (en) | Method for generating a track file that contains notification information, a computer program product, and a navigation method | |
| CN115617938A (en) | Vehicle track repeated verification method and device based on space-time history comparison | |
| CN112633812B (en) | Track segmentation method, device, equipment and storage medium for freight vehicle | |
| CN110633340A (en) | Road data mining method and device | |
| CN112489495B (en) | Vehicle early warning method and device, electronic equipment and storage medium | |
| CN116753935A (en) | Map image processing and map making method, device, equipment and storage medium | |
| CN113379162B (en) | Method for estimating running quantity of motor vehicle on rural highway | |
| CN110648008A (en) | Road condition prediction method and device | |
| CN107084728B (en) | Method and device for detecting digital map | |
| CN115129796A (en) | Positioning data analysis method, apparatus, device and medium | |
| CN114691523B (en) | GPS system debugging method and device | |
| CN115830839B (en) | Method and system for correcting positioning deviation of road inspection vehicle | |
| CN111666360B (en) | Road construction state confirmation method and device | |
| CN111475590B (en) | Road data auditing method, system, terminal equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191231 |
|
| RJ01 | Rejection of invention patent application after publication |