CN104317876A - Road network vector data generation method and device - Google Patents
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Abstract
The invention provides a road network vector data generation method and device. The method includes: acquiring reference vector data of a target road on the tourist map according to a tourist map of a target area, wherein the reference vector data of the target road include coordinate information of nodes on the target road in a reference coordinate system; further, performing transform processing on the coordinate information of the nodes on the target road according to the reference vector data of the target road and first candidate road network vector data of the target area so as to acquire geographical location information of the nodes on the target road; utilizing the geographical location information of the nodes on the target road to update the reference vector data of the target road so as to acquire second candidate road network vector data of the target area; subjecting the first candidate road network vector data and the second candidate road network vector data to adjustment processing so as to acquire target road network vector data of the target area. Therefore, the purpose of generation of the road network vector data of a tourist region is achieved.
Description
[ technical field ] A method for producing a semiconductor device
The present invention relates to a map technology, and in particular, to a method and an apparatus for generating road network vector data.
[ background of the invention ]
At present, the road network vector data used by the electronic map may basically include road position data such as expressways, first-level roads, second-level roads, third-level roads, fourth-level roads and pedestrian roads.
However, in the current road network vector data, only the road data of the main roads in the tourist region, for example, the main roads, etc., do not have the road data of the other roads in the tourist region, so that the road network vector data cannot completely reflect the road condition in the tourist region.
[ summary of the invention ]
The invention provides a road network vector data generation method and a road network vector data generation device, which are used for realizing the generation of road network vector data in tourist areas.
One aspect of the present invention provides a method for generating road network vector data, including:
acquiring reference vector data of a target road on the tourist map according to the tourist map of a target area, wherein the reference vector data of the target road comprises coordinate information of nodes on the target road in a reference coordinate system;
transforming coordinate information of the nodes on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area to obtain geographical position information of the nodes on the target road;
updating the reference vector data of the target road by using the geographical position information of the nodes on the target road to obtain second candidate road network vector data of the target area;
and adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
The above-described aspect and any possible implementation further provide an implementation, where the node on the target road includes:
a starting point of the target road and an end point of the target road; or
A starting point of the target road, an end point of the target road, and a turning point of the target road.
The above-described aspect and any possible implementation further provide an implementation in which the reference coordinate system comprises a planar coordinate system.
The above-described aspect and any possible implementation manner further provide an implementation manner, where obtaining reference vector data of a target road on a travel map according to the travel map of a target area includes:
and acquiring reference vector data of a target road on the tourist map by utilizing an image recognition technology according to the tourist map of the target area.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where obtaining reference vector data of a target road on a tourist map according to the tourist map of a target area by using an image recognition technology includes:
scanning the tourist map of the target area to obtain a scanned image;
identifying the scanned image to obtain a pixel area corresponding to the target road;
filtering the pixel area corresponding to the target road to obtain line pixels and point pixels;
and obtaining reference vector data of the target road according to the line pixels and the point pixels.
The foregoing aspects and any possible implementations further provide an implementation, where the transforming, according to the reference vector data of the target road and the first candidate road network vector data of the target area, the coordinate information of the node on the target road to obtain the geographic location information of the node on the target road includes:
obtaining an affine transformation equation from the reference vector data to the first candidate road network vector data by using coordinate information of N feature points in the reference vector data and geographic position information in the first candidate road network vector data, wherein N is an integer greater than or equal to 3;
and acquiring the geographical position information of the nodes on the target road by utilizing the affine transformation equation according to the coordinate information of the nodes on the target road.
The foregoing aspect and any possible implementation manner further provide an implementation manner, where the adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area includes:
and adjusting the first candidate road network vector data and the second candidate road network vector data by using the satellite image of the target area to obtain the target road network vector data of the target area.
The above-described aspects and any possible implementations further provide an implementation, and the method further includes:
obtaining reference vector data of the POI in the target area according to the reference vector data of the target road, wherein the reference vector data of the POI comprises coordinate information of a central point of the POI in the reference coordinate system;
transforming the coordinate information of the central point of the POI according to the reference vector data of the target road and the candidate road network vector data of the target area to obtain the geographical position information of the central point of the POI;
updating reference vector data of the POI by using the geographical position information of the center point of the POI to obtain first candidate POI vector data of the target area;
and adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area.
The foregoing aspect and any possible implementation manner further provide an implementation manner, where the adjusting processing on the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area includes:
and adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area by using the satellite image of the target area to obtain the target POI vector data of the target area.
The above-described aspects and any possible implementations further provide an implementation, and the method further includes:
and generating description information of the tour route of the target area and/or navigation data of the tour route according to the target road network vector data of the target area and the target POI vector data of the target area.
Another aspect of the present invention provides a road network vector data generation device, including:
the system comprises an obtaining unit, a calculating unit and a processing unit, wherein the obtaining unit is used for obtaining reference vector data of a target road on a tourist map according to the tourist map of a target area, and the reference vector data of the target road comprises coordinate information of a node on the target road in a reference coordinate system;
the transformation unit is used for transforming the coordinate information of the nodes on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area so as to obtain the geographical position information of the nodes on the target road;
the updating unit is used for updating the reference vector data of the target road by utilizing the geographical position information of the nodes on the target road so as to obtain second candidate road network vector data of the target area;
and the adjusting unit is used for adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
The above-described aspect and any possible implementation further provide an implementation, where the node on the target road includes:
a starting point of the target road and an end point of the target road; or
A starting point of the target road, an end point of the target road, and a turning point of the target road.
The above-described aspect and any possible implementation further provide an implementation in which the reference coordinate system comprises a planar coordinate system.
The above-mentioned aspects and any possible implementation further provide an implementation of the obtaining unit, and the obtaining unit is specifically configured to
And acquiring reference vector data of a target road on the tourist map by utilizing an image recognition technology according to the tourist map of the target area.
The above-mentioned aspects and any possible implementation further provide an implementation of the obtaining unit, and the obtaining unit is specifically configured to
Scanning the tourist map of the target area to obtain a scanned image;
identifying the scanned image to obtain a pixel area corresponding to the target road;
filtering the pixel area corresponding to the target road to obtain line pixels and point pixels; and
and obtaining reference vector data of the target road according to the line pixels and the point pixels.
The above-described aspects and any possible implementation further provide an implementation of the transformation unit, which is specifically configured to
Obtaining an affine transformation equation from the reference vector data to the first candidate road network vector data by using coordinate information of N feature points in the reference vector data and geographic position information in the first candidate road network vector data, wherein N is an integer greater than or equal to 3; and
and acquiring the geographical position information of the nodes on the target road by utilizing the affine transformation equation according to the coordinate information of the nodes on the target road.
The above-mentioned aspects and any possible implementation further provide an implementation of the adjusting unit, and the adjusting unit is specifically configured to
And adjusting the first candidate road network vector data and the second candidate road network vector data by using the satellite image of the target area to obtain the target road network vector data of the target area.
The above aspects, and any possible implementations, further provide an implementation,
the obtaining unit is also used for
Obtaining reference vector data of the POI in the target area according to the reference vector data of the target road, wherein the reference vector data of the POI comprises coordinate information of a central point of the POI in the reference coordinate system;
the transformation unit is also used for
Transforming the coordinate information of the central point of the POI according to the reference vector data of the target road and the candidate road network vector data of the target area to obtain the geographical position information of the central point of the POI;
the update unit is also used for
Updating reference vector data of the POI by using the geographical position information of the center point of the POI to obtain first candidate POI vector data of the target area;
the adjusting unit is also used for
And adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area.
The above-mentioned aspects and any possible implementation further provide an implementation of the adjusting unit, and the adjusting unit is specifically configured to
And adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area by using the satellite image of the target area to obtain the target POI vector data of the target area.
The above-mentioned aspects and any possible implementation further provide an implementation, and the apparatus further includes an application unit configured to apply the application to the device
And generating description information of the tour route of the target area and/or navigation data of the tour route according to the target road network vector data of the target area and the target POI vector data of the target area.
As can be seen from the foregoing technical solutions, in the embodiments of the present invention, reference vector data of a target road on a travel map is obtained according to the travel map of a target area, where the reference vector data of the target road includes coordinate information of a node on the target road in a reference coordinate system, and then, according to the reference vector data of the target road and first candidate road network vector data of the target area, coordinate information of the node on the target road is transformed to obtain geographical location information of the node on the target road, and the reference vector data of the target road is updated according to the geographical location information of the node on the target road to obtain second candidate road network vector data of the target area, so that the first candidate road network vector data and the second candidate road network vector data can be adjusted, so as to obtain the target road network vector data of the target area, thereby realizing the purpose of generating the road network vector data of the tourism area.
In addition, the technical scheme provided by the invention has the advantages of simple operation, no need of operators to participate in the generation process, simple operation and high accuracy, thereby improving the generation efficiency and reliability of the road network vector data in the tourism area.
In addition, by adopting the technical scheme provided by the invention, the generated road network vector data of the tourist area can be fused into the existing road network vector data, so that the road network vector data can completely reflect the road condition of the tourist area, and the completeness of the road network vector data of the tourist area can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourism area can be completely reflected by the road network vector data, so that the accuracy of the provided service information of some services using the road network vector data, such as navigation service in the tourism area, can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourist area can be completely reflected by the road network vector data, so that the road condition of the tourist area can be visually shown by utilizing the vector map rendered according to the road network vector data, a user can select a tourist route by himself, and the user experience can be effectively improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the embodiments or the prior art descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic flow chart of a method for generating road network vector data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a pixel region having a width of multiple pixels corresponding to a target road identified in a scanned image in the embodiment corresponding to FIG. 1;
FIG. 3 is a schematic diagram of a pixel region having a single pixel width corresponding to a target road identified in a scanned image in the embodiment corresponding to FIG. 1;
FIG. 4 is a schematic diagram illustrating the tracking of line pixels and point pixels corresponding to the target road identified in the scanned image in the embodiment corresponding to FIG. 1;
fig. 5 is a schematic structural diagram of a road network vector data generating device according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a road network vector data generating device according to another embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terminal according to the embodiment of the present invention may include, but is not limited to, a mobile phone, a Personal Digital Assistant (PDA), a wireless handheld device, a wireless netbook, a Personal computer, a portable computer, an MP3 player, an MP4 player, and the like.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a schematic flow chart of a method for generating road network vector data according to an embodiment of the present invention, as shown in fig. 1.
101. And obtaining reference vector data of a target road on the tourist map according to the tourist map of the target area, wherein the reference vector data of the target road comprises coordinate information of nodes on the target road in a reference coordinate system.
The reference coordinate system may include, but is not limited to, a planar coordinate system, such as a rectangular coordinate system, which is not particularly limited in this embodiment.
102. And transforming the coordinate information of the nodes on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area to obtain the geographical position information of the nodes on the target road.
The first candidate road network vector data of the target area may be road network vector data of an existing target area, and in the first candidate road network vector data, only road data of a main road inside the target area, for example, road data of a main road and the like, may not exist in other roads inside the target area, and therefore, the first candidate road network vector data may not completely reflect the road condition of the target area.
103. And updating the reference vector data of the target road by using the geographical position information of the nodes on the target road to obtain second candidate road network vector data of the target area.
104. And adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
It should be noted that the execution subjects of 101 to 104 may be an application located at the local terminal, or may also be functional units such as a plug-in or Software Development Kit (SDK) set in the application located at the local terminal, or may also be a data mining engine located in a server on the network side, which is not particularly limited in this embodiment.
It is to be understood that the application may be an application program (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not limited in this embodiment.
In this way, by obtaining reference vector data of a target road on a travel map according to the travel map of a target area, the reference vector data of the target road including coordinate information of a node on the target road in a reference coordinate system, further performing transformation processing on the coordinate information of the node on the target road according to the reference vector data of the target road and first candidate road network vector data of the target area to obtain geographical position information of the node on the target road, updating the reference vector data of the target road by using the geographical position information of the node on the target road to obtain second candidate road network vector data of the target area, so that the first candidate road network vector data and the second candidate road network vector data can be adjusted to obtain the target road network vector data of the target area, therefore, the aim of generating the road network vector data of the tourist area is fulfilled.
Optionally, in a possible implementation manner of this embodiment, if the target road is a straight road without any turn, the node on the target road may include a start point of the target road and an end point of the target road; if the target road is not a straight road but includes some turns in the middle, the nodes on the target road may include a start point of the target road, an end point of the target road, and a turning point of the target road, which is not particularly limited in this embodiment.
Optionally, in a possible implementation manner of this embodiment, in 101, reference vector data of a target road on the travel map may be obtained by using an image recognition technology according to the travel map of the target area.
Specifically, a travel map of the target area may be scanned to obtain a scanned image. Then, the scanned image is subjected to recognition processing to obtain a pixel area corresponding to the target road, and further the pixel area corresponding to the target road is subjected to filtering processing to obtain line pixels and point pixels. Finally, the reference vector data of the target road can be obtained according to the line pixels and the point pixels.
For example,
first, a travel map of a printed product is scanned by a scanning apparatus to obtain a scanned image. The scanned image is a raster image, with each cell being a pixel.
Then, the obtained scanned image is subjected to binarization processing by utilizing the color range corresponding to the drawing color of the target road on the tourist map, namely the value range of a Red (Red, R) component is R [ R1, R2], the value range of a Green (Green, G) component is G [ G1, G2], the value range of a Blue (Blue, B) component is B [ G1, G2], so as to obtain a black-and-white image. The pixel area corresponding to the target road is a black pixel area, and the other areas are white pixel areas. Generally, the obtained black pixel region is a black pixel region having a multi-pixel width, as shown in fig. 2.
Then, based on the black-and-white image, N black pixel regions, which are pixel regions corresponding to the N target roads, are obtained, and each black pixel region may be composed of a series of M adjacent black pixels. The following processing is performed for each of the N black pixel regions, respectively, and the coordinate information of each of the M black pixels is recorded.
Then, a pixel peeling operation is performed on each of the black pixel regions having a multi-pixel width to obtain a black pixel region having a single-pixel width, as shown in fig. 3. Specifically, the first peeling operation may be performed on the outermost black pixels without affecting the topological relationship between each black pixel, for example, without the occurrence of the region division phenomenon, and then, the second peeling operation may be repeatedly performed until no black pixels can be peeled. In order to remove the pixel interference, the black pixel area with the single pixel width can be further subjected to short branch removal processing to obtain the black pixel line characteristic.
Then, a pixel tracking operation is performed on the pixel line features to obtain line pixels and dot pixels. As shown in fig. 4, one vertex pixel of the pixel line feature is found as a start pixel, as indicated by a circle "○" in fig. 4, and then, with the start pixel as a seed pixel, a pixel tracking operation is performed in the direction of the arrow in fig. 4 until the intersection point or another vertex is reached, as indicated by a fork "X" in fig. 4, and then the operation is stopped. The tracking obtains 3 sets of pixel sequences S1, S2, and S3. Wherein S1 is P1 → P2 → … … → Pn1, S2 is P1 → P2 → … … → Pn2, S3 is P1 → P2 → … … → Pn3, wherein n1, n2 and n3 are integers greater than or equal to 2. Finally, line pixels and dot pixels are obtained from the obtained pixel sequence.
The expression for a line pixel may be in the form:
link (Link _ id, beg _ node _ id, end _ node _ id, P1 → P2 → … … → Pn); wherein,
link _ id is a line pixel identification; a pixel identifier with the beg _ node _ id as a starting point; end _ node _ id is the pixel identification of the end point; pn is coordinate information of each pixel tracked.
The expression for a dot pixel may be in the form:
node (Node _ id, Node _ link _ ids, P); wherein,
the node _ id is the pixel identification of the point pixel; the pixel identification of the line pixel where the node _ link _ ids point pixel is located; p is coordinate information of the dot pixel.
After the line pixels are obtained, further performing thinning processing by using a Douglas-Peucker algorithm according to the line pixels to obtain reference vector data of the target road. And the nodes on the target road are pixels obtained after the pixel sequence contained in the line pixels is subjected to thinning processing.
Optionally, in a possible implementation manner of this embodiment, in 102, an affine transformation equation from the reference vector data to the first candidate road network vector data may be specifically obtained by using coordinate information of N feature points in the reference vector data and geographic location information in the first candidate road network vector data, where N is an integer greater than or equal to 3. Then, the geographical location information of the node on the target road may be obtained by using the affine transformation equation according to the coordinate information of the node on the target road.
Generally, the tourist map is a planar map, and then the reference vector data of the target road on the tourist map is vector data in a plane, and the road network vector data is also vector data in a plane, so that the affine transformation of the reference vector data to the road network vector data can be realized by at least one of a Translation (Translation) operation, a Scale (Scale) operation and a Rotation (Rotation) operation.
An affine transformation equation of the form:
X2＝aX1+bY1+c；
y2 ═ dX1+ eY1+ f; wherein
And extracting position parameters, namely coordinate information and geographic position information, of N characteristic points, such as intersections, turning points of roads and the like, from the reference vector data and the first candidate road network vector data respectively, wherein N is an integer greater than or equal to 3. By using the position parameters of the characteristic points, the values of 6 transformation coefficients of the affine transformation equation, namely a, b, c, d, e and f, are obtained based on the least square principle, and the standard deviation R is obtained at the same time. If the standard deviation R is larger than a preset threshold R0, re-extracting the feature points, and calculating the values of 6 transformation coefficients of the affine transformation equation until the standard deviation R is smaller than or equal to the threshold R0, wherein the affine transformation equation at the moment can be used as a transformation basis to transform the coordinate information of the nodes on the target road into the geographic position information.
Optionally, in a possible implementation manner of this embodiment, in 103, the geographical location information of the node on the target road may be specifically used to replace the coordinate information of the node in the reference vector data of the target road, so as to obtain the target road network vector data of the target area.
Optionally, in a possible implementation manner of this embodiment, in 104, adjustment processing such as data deduplication and data hooking may be specifically performed on the first candidate road network vector data and the second candidate road network vector data, so as to obtain target road network vector data of the target area.
For example, for the overlapped part of the first candidate road network vector data and the second candidate road network vector data, only one part of road network vector data corresponding to the overlapped part is reserved.
Alternatively, for another example, the road hooking process is performed on the position edge portion of the second candidate road network vector data and the relevant portion of the first candidate road network vector data.
Optionally, in a possible implementation manner of this embodiment, in 104, the first candidate road network vector data and the second candidate road network vector data may be specifically adjusted by using a satellite image of the target region, so as to obtain target road network vector data of the target region.
The satellite image is image data obtained by photographing or scanning a ground feature with a camera, a television camera, a multispectral scanner, or the like during the operation of various artificial earth satellites, and may be referred to as a satellite photograph.
In the field of satellite image analysis, because a single-waveband satellite image is a gray image, the hierarchy is not rich enough, observation and analysis are not facilitated, and multi-waveband information of the satellite cannot be fully and effectively utilized. On the other hand, if 3 wavelength bands or component images are appropriately selected and Red (Red, R) Green (Green, G) Blue (Blue, B) synthesis is performed to obtain a colored satellite image, the color difference between the ground features can be enlarged to more effectively reflect the information of the ground surface, so that in a general case, an RGB synthesized color image is generally used for observation and analysis.
Specifically, for the case that the first candidate road network vector data is inconsistent with the second candidate road network vector data, a first region corresponding to a color for identifying a road and/or a second region corresponding to a color close to the color may be determined on a satellite image of a target region; extracting road information in the first area and/or the second area by using a straight line detection technology and/or an image communication technology; and adjusting the first candidate road network vector data or the second candidate road network vector data according to the road information to obtain target road network vector data of the target area.
Optionally, in a possible implementation manner of this embodiment, reference vector data of a Point of Interest (POI), that is, a Point of Interest (POI) in the target area may be further obtained according to the reference vector data of the target road, where the reference vector data of the POI includes coordinate information of a center Point of the POI in the reference coordinate system. And then, according to the reference vector data of the target road and the candidate road network vector data of the target area, transforming the coordinate information of the center point of the POI to obtain the geographical position information of the center point of the POI. Then, the reference vector data of the POI may be updated by using the geographical location information of the center point of the POI to obtain the first candidate POI vector data of the target area. And finally, adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area.
Specifically, the reference vector data of the POI in the target area is obtained according to the reference vector data of the target road in a manual labeling manner, so as to ensure the relative position relationship between the POI and the target road. Specifically, the name of the POI and the labeling information such as the scenic spot to which the POI belongs may be recorded in the reference vector data of the POI.
Generally, since a POI has a certain range, coordinate information of a position where the POI arrives, that is, coordinate information of a point on a target road, may be further recorded in the reference vector data of the POI.
Specifically, the satellite image of the target region may be specifically utilized to perform adjustment processing on the first candidate POI vector data of the target region and the second candidate road network vector data of the target region, so as to obtain the target POI vector data of the target region. For a specific adjustment method, reference may be made to a method of the first candidate road network vector data or the second candidate road network vector data, and for a detailed description, reference may be made to related descriptions in the prior art, which is not described herein again.
Optionally, in a possible implementation manner of this embodiment, the description information of the tour route of the target area and/or the navigation data of the tour route may be further generated according to the target road network vector data of the target area and the target POI vector data of the target area.
Wherein, the description information of the tour route may include, but is not limited to, introduction information of POI, weather information; the navigation data of the tour route may include, but is not limited to, navigation map data, and time information required for walking or driving a private car, which is not particularly limited in this embodiment.
In this embodiment, by obtaining reference vector data of a target road on a travel map according to the travel map of a target area, where the reference vector data of the target road includes coordinate information of a node on the target road in a reference coordinate system, and further performing transformation processing on the coordinate information of the node on the target road according to the reference vector data of the target road and first candidate road network vector data of the target area to obtain geographical location information of the node on the target road, updating the reference vector data of the target road by using the geographical location information of the node on the target road to obtain second candidate road network vector data of the target area, so that the first candidate road vector data and the second candidate road network vector data can be adjusted to obtain the target road network vector data of the target area, therefore, the aim of generating the road network vector data of the tourist area is fulfilled.
In addition, the technical scheme provided by the invention has the advantages of simple operation, no need of operators to participate in the generation process, simple operation and high accuracy, thereby improving the generation efficiency and reliability of the road network vector data in the tourism area.
In addition, by adopting the technical scheme provided by the invention, the generated road network vector data of the tourist area can be fused into the existing road network vector data, so that the road network vector data can completely reflect the road condition of the tourist area, and the completeness of the road network vector data of the tourist area can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourism area can be completely reflected by the road network vector data, so that the accuracy of the provided service information of some services using the road network vector data, such as navigation service in the tourism area, can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourist area can be completely reflected by the road network vector data, so that the road condition of the tourist area can be visually shown by utilizing the vector map rendered according to the road network vector data, a user can select a tourist route by himself, and the user experience can be effectively improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
Fig. 5 is a schematic structural diagram of a road network vector data generating device according to another embodiment of the present invention, as shown in fig. 5. The road network vector data generation device of the present embodiment may include an obtaining unit 51, a transformation unit 52, an updating unit 53, and an adjusting unit 54. Wherein,
an obtaining unit 51, configured to obtain, according to a travel map of a target area, reference vector data of a target road on the travel map, where the reference vector data of the target road includes coordinate information of a node on the target road in a reference coordinate system.
The reference coordinate system may include, but is not limited to, a planar coordinate system, such as a rectangular coordinate system, which is not particularly limited in this embodiment.
A transforming unit 52, configured to perform transformation processing on the coordinate information of the node on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area, so as to obtain geographic location information of the node on the target road.
The first candidate road network vector data of the target area may be road network vector data of an existing target area, and in the first candidate road network vector data, only road data of a main road inside the target area, for example, road data of a main road and the like, may not exist in other roads inside the target area, and therefore, the first candidate road network vector data may not completely reflect the road condition of the target area.
An updating unit 53, configured to update the reference vector data of the target road by using the geographic location information of the node on the target road, so as to obtain second candidate road network vector data of the target area.
An adjusting unit 54, configured to perform adjustment processing on the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
It should be noted that the road network vector data generating device provided in this embodiment may be an application located at the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) provided in the application located at the local terminal, or may also be a data mining engine located in a server on the network side, which is not particularly limited in this embodiment.
It is to be understood that the application may be an application program (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not limited in this embodiment.
Optionally, in a possible implementation manner of this embodiment, if the target road is a straight road without any turn, the node on the target road may include a start point of the target road and an end point of the target road; if the target road is not a straight road but includes some turns in the middle, the nodes on the target road may include a start point of the target road, an end point of the target road, and a turning point of the target road, which is not particularly limited in this embodiment.
Optionally, in a possible implementation manner of this embodiment, the obtaining unit 51 may be specifically configured to obtain, according to the tourist map of the target area, reference vector data of a target road on the tourist map by using an image recognition technology.
Specifically, the obtaining unit 51 may be specifically configured to scan the travel map of the target area to obtain a scanned image; identifying the scanned image to obtain a pixel area corresponding to the target road; filtering the pixel area corresponding to the target road to obtain line pixels and point pixels; and obtaining reference vector data of the target road according to the line pixels and the point pixels.
Optionally, in a possible implementation manner of this embodiment, the transforming unit 52 may be specifically configured to obtain an affine transformation equation from the reference vector data to the first candidate road network vector data by using coordinate information of N feature points in the reference vector data and geographic location information in the first candidate road network vector data, where N is an integer greater than or equal to 3; and acquiring the geographical position information of the nodes on the target road by utilizing the affine transformation equation according to the coordinate information of the nodes on the target road.
Optionally, in a possible implementation manner of this embodiment, the adjusting unit 54 may be specifically configured to perform an adjustment process on the first candidate road network vector data and the second candidate road network vector data by using a satellite image of the target region, so as to obtain target road network vector data of the target region.
Optionally, in a possible implementation manner of this embodiment, the obtaining unit 51 may be further configured to obtain reference vector data of a POI in the target area according to the reference vector data of the target road, where the reference vector data of the POI includes coordinate information of a center point of the POI in the reference coordinate system; correspondingly, the transforming unit 52 may be further configured to transform the coordinate information of the center point of the POI according to the reference vector data of the target road and the candidate road network vector data of the target area, so as to obtain the geographical location information of the center point of the POI; the updating unit 53 may further be configured to update the reference vector data of the POI by using the geographical location information of the central point of the POI to obtain the first candidate POI vector data of the target area; the adjusting unit 54 may be further configured to perform adjustment processing on the first candidate POI vector data of the target region and the second candidate road network vector data of the target region to obtain target POI vector data of the target region.
Specifically, the adjusting unit 54 may be specifically configured to perform an adjustment process on the first candidate POI vector data of the target region and the second candidate road network vector data of the target region by using the satellite image of the target region, so as to obtain the target POI vector data of the target region.
Optionally, in a possible implementation manner of this embodiment, as shown in fig. 6, the road network vector data generating device provided in this embodiment may further include an application unit 61, configured to generate description information of the tour route of the target area and/or navigation data of the tour route according to the target road network vector data of the target area and the target POI vector data of the target area.
Wherein, the description information of the tour route may include, but is not limited to, introduction information of POI, weather information; the navigation data of the tour route may include, but is not limited to, navigation map data, and time information required for walking or driving a private car, which is not particularly limited in this embodiment.
The method in the embodiment corresponding to fig. 1 may be implemented by the road network vector data generating device provided in the embodiment. For a detailed description, reference may be made to relevant contents in the embodiment corresponding to fig. 1, and details are not described here.
In this embodiment, the obtaining unit obtains reference vector data of a target road on a tourist map according to the tourist map of a target area, where the reference vector data of the target road includes coordinate information of a node on the target road in a reference coordinate system, the transforming unit transforms the coordinate information of the node on the target road according to the reference vector data of the target road and first candidate road network vector data of the target area to obtain geographical location information of the node on the target road, and the updating unit updates the reference vector data of the target road by using the geographical location information of the node on the target road to obtain second candidate road network vector data of the target area, so that the adjusting unit can adjust the first candidate road network vector data and the second candidate road network vector data, so as to obtain the target road network vector data of the target area, thereby realizing the purpose of generating the road network vector data of the tourism area.
In addition, the technical scheme provided by the invention has the advantages of simple operation, no need of operators to participate in the generation process, simple operation and high accuracy, thereby improving the generation efficiency and reliability of the road network vector data in the tourism area.
In addition, by adopting the technical scheme provided by the invention, the generated road network vector data of the tourist area can be fused into the existing road network vector data, so that the road network vector data can completely reflect the road condition of the tourist area, and the completeness of the road network vector data of the tourist area can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourism area can be completely reflected by the road network vector data, so that the accuracy of the provided service information of some services using the road network vector data, such as navigation service in the tourism area, can be effectively improved.
In addition, by adopting the technical scheme provided by the invention, the road condition of the tourist area can be completely reflected by the road network vector data, so that the road condition of the tourist area can be visually shown by utilizing the vector map rendered according to the road network vector data, a user can select a tourist route by himself, and the user experience can be effectively improved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (20)
1. A method for generating road network vector data, comprising:
acquiring reference vector data of a target road on the tourist map according to the tourist map of a target area, wherein the reference vector data of the target road comprises coordinate information of nodes on the target road in a reference coordinate system;
transforming coordinate information of the nodes on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area to obtain geographical position information of the nodes on the target road;
updating the reference vector data of the target road by using the geographical position information of the nodes on the target road to obtain second candidate road network vector data of the target area;
and adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
2. The method of claim 1, wherein the nodes on the target road comprise:
a starting point of the target road and an end point of the target road; or
A starting point of the target road, an end point of the target road, and a turning point of the target road.
3. The method of claim 1, wherein the reference coordinate system comprises a planar coordinate system.
4. The method of claim 1, wherein the obtaining of the reference vector data of the target road on the tourist map according to the tourist map of the target area comprises:
and acquiring reference vector data of a target road on the tourist map by utilizing an image recognition technology according to the tourist map of the target area.
5. The method of claim 4, wherein the obtaining the reference vector data of the target road on the tourist map by using image recognition technology according to the tourist map of the target area comprises:
scanning the tourist map of the target area to obtain a scanned image;
identifying the scanned image to obtain a pixel area corresponding to the target road;
filtering the pixel area corresponding to the target road to obtain line pixels and point pixels;
and obtaining reference vector data of the target road according to the line pixels and the point pixels.
6. The method according to claim 1, wherein transforming the coordinate information of the node on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area to obtain the geographical location information of the node on the target road comprises:
obtaining an affine transformation equation from the reference vector data to the first candidate road network vector data by using coordinate information of N feature points in the reference vector data and geographic position information in the first candidate road network vector data, wherein N is an integer greater than or equal to 3;
and acquiring the geographical position information of the nodes on the target road by utilizing the affine transformation equation according to the coordinate information of the nodes on the target road.
7. The method of claim 1, wherein said adjusting said first candidate road network vector data and said second candidate road network vector data to obtain target road network vector data for said target area comprises:
and adjusting the first candidate road network vector data and the second candidate road network vector data by using the satellite image of the target area to obtain the target road network vector data of the target area.
8. The method according to any one of claims 1 to 7, further comprising:
obtaining reference vector data of the POI in the target area according to the reference vector data of the target road, wherein the reference vector data of the POI comprises coordinate information of a central point of the POI in the reference coordinate system;
transforming the coordinate information of the central point of the POI according to the reference vector data of the target road and the candidate road network vector data of the target area to obtain the geographical position information of the central point of the POI;
updating reference vector data of the POI by using the geographical position information of the center point of the POI to obtain first candidate POI vector data of the target area;
and adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area.
9. The method according to claim 8, wherein the adjusting the first candidate POI vector data of the target region and the second candidate road network vector data of the target region to obtain the target POI vector data of the target region comprises:
and adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area by using the satellite image of the target area to obtain the target POI vector data of the target area.
10. The method of claim 8, further comprising:
and generating description information of the tour route of the target area and/or navigation data of the tour route according to the target road network vector data of the target area and the target POI vector data of the target area.
11. A road network vector data generation device is characterized by comprising:
the system comprises an obtaining unit, a calculating unit and a processing unit, wherein the obtaining unit is used for obtaining reference vector data of a target road on a tourist map according to the tourist map of a target area, and the reference vector data of the target road comprises coordinate information of a node on the target road in a reference coordinate system;
the transformation unit is used for transforming the coordinate information of the nodes on the target road according to the reference vector data of the target road and the first candidate road network vector data of the target area so as to obtain the geographical position information of the nodes on the target road;
the updating unit is used for updating the reference vector data of the target road by utilizing the geographical position information of the nodes on the target road so as to obtain second candidate road network vector data of the target area;
and the adjusting unit is used for adjusting the first candidate road network vector data and the second candidate road network vector data to obtain target road network vector data of the target area.
12. The apparatus of claim 11, wherein the node on the target road comprises:
a starting point of the target road and an end point of the target road; or
A starting point of the target road, an end point of the target road, and a turning point of the target road.
13. The apparatus of claim 11, wherein the reference coordinate system comprises a planar coordinate system.
14. Device according to claim 11, characterized in that said obtaining unit is in particular adapted to
And acquiring reference vector data of a target road on the tourist map by utilizing an image recognition technology according to the tourist map of the target area.
15. Device according to claim 14, characterized in that said obtaining unit is in particular adapted to
Scanning the tourist map of the target area to obtain a scanned image;
identifying the scanned image to obtain a pixel area corresponding to the target road;
filtering the pixel area corresponding to the target road to obtain line pixels and point pixels; and
and obtaining reference vector data of the target road according to the line pixels and the point pixels.
16. Device according to claim 11, characterized in that the transformation unit, in particular for
Obtaining an affine transformation equation from the reference vector data to the first candidate road network vector data by using coordinate information of N feature points in the reference vector data and geographic position information in the first candidate road network vector data, wherein N is an integer greater than or equal to 3; and
and acquiring the geographical position information of the nodes on the target road by utilizing the affine transformation equation according to the coordinate information of the nodes on the target road.
17. Device according to claim 11, characterized in that the adjustment unit is, in particular, adapted to
And adjusting the first candidate road network vector data and the second candidate road network vector data by using the satellite image of the target area to obtain the target road network vector data of the target area.
18. The apparatus according to any one of claims 11 to 17,
the obtaining unit is also used for
Obtaining reference vector data of the POI in the target area according to the reference vector data of the target road, wherein the reference vector data of the POI comprises coordinate information of a central point of the POI in the reference coordinate system;
the transformation unit is also used for
Transforming the coordinate information of the central point of the POI according to the reference vector data of the target road and the candidate road network vector data of the target area to obtain the geographical position information of the central point of the POI;
the update unit is also used for
Updating reference vector data of the POI by using the geographical position information of the center point of the POI to obtain first candidate POI vector data of the target area;
the adjusting unit is also used for
And adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area to obtain the target POI vector data of the target area.
19. Device according to claim 18, characterized in that the adjustment unit is, in particular, adapted to
And adjusting the first candidate POI vector data of the target area and the second candidate road network vector data of the target area by using the satellite image of the target area to obtain the target POI vector data of the target area.
20. The device according to claim 18, characterized in that the device further comprises an application unit for
And generating description information of the tour route of the target area and/or navigation data of the tour route according to the target road network vector data of the target area and the target POI vector data of the target area.
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| CN111723681B (en) * | 2020-05-28 | 2024-03-08 | 北京三快在线科技有限公司 | Indoor road network generation method and device, storage medium and electronic equipment |
| CN116796762A (en) * | 2023-06-15 | 2023-09-22 | 国家基础地理信息中心 | Multi-source road network data processing method, electronic equipment and storage medium |
| CN116796762B (en) * | 2023-06-15 | 2024-03-19 | 国家基础地理信息中心 | Multi-source road network data processing method, electronic equipment and storage medium |
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