WO2016132523A1

WO2016132523A1 - Model data processing system, rendering method, and model data processing program

Info

Publication number: WO2016132523A1
Application number: PCT/JP2015/054708
Authority: WO
Inventors: 義広都丸; 誠大津留
Original assignee: 三菱電機株式会社
Priority date: 2015-02-20
Filing date: 2015-02-20
Publication date: 2016-08-25
Also published as: JPWO2016132523A1; JP6129456B2

Abstract

In a navigation device (101), a segmenting unit (122) segments a map region and sets a plurality of segment regions. An allocation unit (123) allocates a plurality of models to the plurality of segment regions, and creates a first list (211) which shows correspondences between each of the plurality of segment regions and the allocated models. A computing unit (124) computes, with respect to the segment regions in the first list (211) corresponding to at least one of the models, inclusion regions in the map region which include the at least one of the models, and creates a second list (212) which shows correspondences between each of the plurality of segment regions and the computed inclusion regions. An extraction unit (132) extracts, from the second list (212), as render regions, the segment regions which correspond to the inclusion regions which overlap at least partially with a display range of the map region. An integration unit (133) integrates as appropriate the models in the first list (211) corresponding to the render regions, and stores data (201) of the models in a memory for rendering (113).

Description

Model data processing system, drawing method, and model data processing program

The present invention relates to a model data processing system, a drawing method, and a model data processing program. The present invention relates to a model data integration device, for example.

Conventionally, there is a technique for performing topographic drawing processing on a map composed of a plurality of blocks that define the bottom surface of a pseudo three-dimensional space (for example, see Patent Document 1).

Japanese Patent Laid-Open No. 10-172006

In the prior art, a terrain rendering process is performed only on a block determined to overlap the map display range among a plurality of blocks. The blocks are all the same size.

When drawing processing is performed for each block, a technique is used in which vertex data of a model in a block is stored in advance in a vertex storage area on a video memory called VBO (vertex buffer object) for speeding up the drawing processing. When this method is applied to the above-described conventional technique, the map is all divided into blocks of the same size. A model is assigned to each block. It is determined whether a block is included in the map display range. Only models distributed to the included blocks are registered in the VBO. Only models registered in VBO are rendered.

If the model protrudes from the block, part of the model may be within the map display range even if the block is outside the map display range. However, such a model is not registered with VBO. As a result, a part of the terrain within the map display range is not displayed.

An object of the present invention is to ensure that a model representing an object to be displayed can be rendered.

A model data processing system according to one aspect of the present invention includes:
An acquisition unit for acquiring data of a plurality of models each representing an object existing in the map area;
A dividing unit configured to divide the map area and set a plurality of divided areas;
Based on the positions of the plurality of models in the map area, the plurality of models are distributed to the plurality of divided areas, and a first list indicating correspondence between each of the plurality of divided areas and the distributed model is a management memory A distribution unit to be stored in
Obtaining the first list from the management memory, and for a divided area corresponding to at least one model in the first list, an inclusion area including the at least one model in the map area A calculation unit that calculates and outputs a second list indicating correspondence between each of the plurality of divided regions and the calculated inclusion region as information for rendering the data of the plurality of models acquired by the acquisition unit; Is provided.

In the present invention, not only the first list showing the correspondence between each of the plurality of divided regions and each of the plurality of models, but also the correspondence between each of the plurality of divided regions and the inclusion region including at least one model is shown. A second list is provided. For this reason, the divided area corresponding to the inclusion area at least partially overlapping the display range of the map area can be extracted as the drawing area. The model corresponding to the drawing area is a model representing an object to be displayed. Therefore, according to the present invention, a model representing an object to be displayed can be reliably rendered.

1 is a diagram illustrating a configuration of a model data processing system according to Embodiment 1. FIG. 1 is a block diagram showing a detailed configuration of a model data processing system according to Embodiment 1. FIG. 1 is a block diagram showing a processing configuration of a model data processing system according to Embodiment 1. FIG. 3 is a flowchart showing a preprocessing procedure of the model data processing system according to the first embodiment. 3 is a flowchart showing a procedure of real-time processing of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of a management rectangle of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of a divided rectangle of the model data processing system according to the first embodiment. 4 is a table showing an example of divided rectangles of the model data processing system according to the first embodiment. The figure which shows the example of the circumscribed rectangle and distribution reference position of the model data processing system which concerns on Embodiment 1. FIG. 4 is a table showing an example of a divided rectangular data list of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of an inclusion rectangle of the model data processing system according to the first embodiment. 4 is a table showing an example of a divided rectangular data list of the model data processing system according to the first embodiment. The latitude longitude plane projection figure which shows the example of a display range. The oblique projection figure which shows the example of a display range. FIG. 3 is a diagram illustrating an example of a display range of the model data processing system according to the first embodiment. 4 is a table showing an example of an acquired divided rectangle list of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of registration of model data in a drawing memory of the model data processing system according to the first embodiment. 4 is a table showing an example of an acquired divided rectangle list of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of registration of model data in a drawing memory of the model data processing system according to the first embodiment. 4 is a table showing an example of an acquired divided rectangle list of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of registration of model data in a drawing memory of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of a display range of the model data processing system according to the first embodiment. 4 is a table showing an example of an acquired divided rectangle list of the model data processing system according to the first embodiment. FIG. 3 is a diagram illustrating an example of registration of model data in a drawing memory of the model data processing system according to the first embodiment. The figure which shows the structure of the model data processing system which concerns on Embodiment 2. FIG. FIG. 3 is a block diagram showing a detailed configuration of a model data processing system according to a second embodiment. FIG. 4 is a block diagram showing a detailed configuration of a model data processing system according to a third embodiment. FIG. 4 is a block diagram showing a processing configuration of a model data processing system according to a third embodiment. 10 is a flowchart showing a preprocessing procedure of the model data processing system according to the third embodiment. 10 is a flowchart showing a preprocessing procedure of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. FIG. 10 is a diagram showing an example of division area setting of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. FIG. 10 is a diagram showing an example of division area setting of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. FIG. 10 is a diagram showing an example of division area setting of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. FIG. 10 is a diagram showing an example of division area setting of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. FIG. 10 is a diagram illustrating an example of an inclusion rectangle of the model data processing system according to the third embodiment. 10 is a table showing an example of a divided rectangular data list of the model data processing system according to the third embodiment. The figure which shows the example of the hardware constitutions of the apparatus which comprises the model data processing system which concerns on embodiment of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, the same code | symbol is attached | subjected to the part which is the same or it corresponds in each figure. In the description of the embodiments, the description of the same or corresponding parts will be omitted or simplified as appropriate.

Embodiment 1 FIG.
The configuration of the system according to the present embodiment, the operation of the system according to the present embodiment, and the effects of the present embodiment will be described in order.

*** Explanation of configuration ***
With reference to FIG. 1, the structure of the model data processing system 100 which is a system based on this Embodiment is demonstrated.

The model data processing system 100 includes a navigation device 101.

Navigation device 101 is mounted on a vehicle.

The navigation device 101 includes an input device 907 and a display 908.

The input device 907 is operated by a user such as a vehicle driver. Specifically, the input device 907 is an operation button. Note that the input device 907 may be a touch panel integrated with the display 908 or a combination of operation buttons and a touch panel.

Display 908 displays a map. The map is specifically a three-dimensional map. The map may be another type of map such as a two-dimensional map.

The detailed configuration of the model data processing system 100 will be described with reference to FIG.

The navigation device 101 includes a database 111, a management memory 112, and a drawing memory 113.

The database 111 stores data 201 of a plurality of models. The plurality of models respectively represent objects existing in the map area. An object is a map object such as terrain, road, or building. The model is specifically a three-dimensional model. The model may be another type of model such as a two-dimensional model.

The management memory 112 is a memory for storing a first list 211 and a second list 212 described later. Specifically, the management memory 112 is a main memory.

The drawing memory 113 is a memory for storing data 201 of a model to be drawn among a plurality of models. Specifically, the drawing memory 113 is a video memory.

The navigation apparatus 101 further includes an acquisition unit 121, a division unit 122, a distribution unit 123, a calculation unit 124, a determination unit 131, an extraction unit 132, an integration unit 133, and a rendering unit 134.

The obtaining unit 121 obtains the data 201 of the plurality of models described above from the database 111.

The dividing unit 122 divides the map area and sets a plurality of divided areas.

The sorting unit 123 sorts the plurality of models into the plurality of divided regions set by the dividing unit 122 based on the positions of the plurality of models in the map region. The distribution unit 123 creates a first list 211 indicating the correspondence between each of the plurality of divided regions set by the division unit 122 and the distributed model. The distribution unit 123 stores the created first list 211 in the management memory 112.

In the present embodiment, the position referred to by the distribution unit 123 is the position of the center of the circumscribed rectangle surrounding each of the plurality of models. Note that the position referred to by the distribution unit 123 may be the position of an arbitrary point such as the center of gravity or the northernmost end point as long as it is the position of one point determined for each model.

The calculation unit 124 acquires the first list 211 from the management memory 112. The calculation unit 124 calculates, for a divided region corresponding to at least one model in the first list 211, an inclusion region including the at least one model in the map region. The calculating unit 124 creates a second list 212 indicating the correspondence between each of the plurality of divided areas set by the dividing unit 122 and the calculated inclusion area. The calculation unit 124 outputs the second list 212 as information for rendering the data 201 of the plurality of models acquired by the acquisition unit 121. The second list 212 output by the calculation unit 124 is stored in the management memory 112.

In the present embodiment, the inclusion area calculated by the calculation unit 124 is a circumscribed rectangle surrounding the at least one model. The inclusion area calculated by the calculation unit 124 may be an arbitrary shape such as an indefinite polygon as long as it includes the model vertex.

The determining unit 131 determines the display range of the map area.

The extraction unit 132 acquires the second list 212 from the management memory 112. That is, the extraction unit 132 receives the input of the second list 212 created by the calculation unit 124. The extraction unit 132 extracts, from the second list 212, a divided region corresponding to an inclusion region that at least partially overlaps the display range determined by the determination unit 131 as a drawing region.

The integration unit 133 acquires the first list 211 from the management memory 112. That is, the integration unit 133 receives the input of the first list 211 created by the distribution unit 123. When the drawing area extracted by the extraction unit 132 in the first list 211 corresponds to one model, the integration unit 133 uses the one model data 201 acquired by the acquisition unit 121 for drawing. Store in the memory 113. When the drawing area extracted by the extraction unit 132 in the first list 211 corresponds to two or more models, the integration unit 133 stores the data 201 of the two or more models acquired by the acquisition unit 121. The integrated data 201 is stored in the drawing memory 113.

The rendering unit 134 renders the data 201 stored in the drawing memory 113. As a result, a navigation map including an object within the display range is displayed on the screen of the display 908.

The processing configuration of the model data processing system 100 will be described with reference to FIG.

The processes executed by the model data processing system 100 mainly include a pre-process 310 that is executed in advance and a real-time process 320 that is executed when a model is displayed.

The preprocessing 310 includes processing such as model data acquisition 311, information acquisition 312, management rectangle division 313, reference position calculation 314, model distribution 315, and inclusion rectangle calculation 316. The model data acquisition 311 is executed by the acquisition unit 121. The information acquisition 312 and the management rectangle division 313 are executed by the division unit 122. The reference position calculation 314 and the model distribution 315 are executed by the distribution unit 123. The inclusion rectangle calculation 316 is executed by the calculation unit 124.

The model data acquisition 311 is a process for acquiring the model data 301 from the database 111. The model data 301 corresponds to the data 201 of a plurality of models described above.

Information acquisition 312 is a process of acquiring a management rectangle that is a map range of all model data 301 stored in the database 111. The management rectangle corresponds to the map area described above.

The management rectangle division 313 is a process of dividing the management rectangle acquired by the information acquisition 312 according to the reference division number 302 to create a divided rectangle. The divided rectangle corresponds to the divided area described above.

The reference position calculation 314 is a process of calculating the sorting reference position from the model data 301 acquired by the model data acquisition 311. The sorting reference position corresponds to a position referred to by the sorting unit 123 described above.

The model sorting 315 is a process of creating a divided rectangle data list 303 by assigning a model to the divided rectangle created by the management rectangle division 313 based on the sorting reference position calculated by the reference position calculation 314. The divided rectangle data list 303 is a list showing models distributed for each divided rectangle. The divided rectangle data list 303 corresponds to the first list 211 described above.

The inclusion rectangle calculation 316 is a process of calculating an inclusion rectangle for each divided rectangle included in the divided rectangle data list 303 after the model distribution corresponding to all the model data 301 in the database 111 is completed in the model distribution 315. . The inclusion rectangle corresponds to the inclusion region described above. In the inclusion rectangle calculation 316, the divided rectangle data list 303 is changed to a list indicating not only the distributed model but also the calculated inclusion rectangle for each divided rectangle. The changed divided rectangle data list 303 corresponds to not only the first list 211 but also the second list 212 described above.

The real-time processing 320 includes processing such as display range determination 321, overlap determination 322, acquired data determination 323, divided rectangle data acquisition 324, model integration 325, model rendering 326. The display range determination 321 is executed by the determination unit 131. The duplication determination 322, the acquired data determination 323, and the divided rectangle data acquisition 324 are executed by the extraction unit 132. The model integration 325 is executed by the integration unit 133. The model rendering 326 is executed by the rendering unit 134.

The display range determination 321 is a process for determining the display range.

The overlap determination 322 is a process for determining the overlap between all the inclusion rectangles in the divided rectangle data list 303 and the display range determined by the display range determination 321 and obtaining the overlap divided rectangle. The overlapping divided rectangle corresponds to the drawing area described above.

The acquired data determination 323 is a process of adding a divided rectangle that is not stored in the acquired divided rectangle list 304 and is an overlapping divided rectangle obtained in the overlap determination 322 to the acquired divided rectangle list 304.

The divided rectangle data acquisition 324 extracts all models corresponding to the divided rectangle added to the acquired divided rectangle list 304 in the acquired data determination 323 from the divided rectangle data list 303, and the model data 301 corresponding to the extracted model. It is a process to acquire.

The model integration 325 is a process of integrating the model data 301 acquired by the divided rectangle data acquisition 324 for each divided rectangle and registering the integrated model data 301 in the drawing memory 113.

The model rendering 326 is a three-dimensional rendering of the model data 301 registered by the model integration 325.

*** Explanation of operation ***
The operation of the model data processing system 100 will be described with reference to FIGS. The operation of the model data processing system 100 corresponds to the drawing method according to the present embodiment. The operation of the model data processing system 100 corresponds to the processing procedure of the model data processing program according to the present embodiment.

In this embodiment, as shown in FIG. 6, the coordinate system to be used is latitude / longitude coordinates. The unit is degrees. The management rectangle is a rectangular range in which the four sides are parallel to the graticule, the southwest end coordinate is (0, 0), and the northeast end coordinate is (16, 12). The database 111 includes a total of 16 models A to P. A to P are model IDs (identifiers). The reference division number 302 is “4” in the horizontal direction and “3” in the vertical direction. The acquired divided rectangle list 304 is empty. Note that the model is a three-dimensional solid body, but in the present embodiment, the model is treated as data projected onto a two-dimensional latitude / longitude plane. The size of the management rectangle, the reference division number 302, the number of models, the shape, size, position, and the like can be changed as appropriate.

FIG. 4 shows the procedure of the pre-processing 310.

S11 is the information acquisition 312 described above.

In S11, the dividing unit 122 acquires information indicating that the range of the management rectangle is (0, 0) to (16, 12) from the database 111.

S12 is the management rectangle division 313 described above.

In S12, the dividing unit 122 divides the management rectangle according to the reference division number 302. The reference division number 302 is “4” in the horizontal direction and “3” in the vertical direction. Therefore, the dividing unit 122 divides the management rectangle into four parts in the horizontal direction and three parts in the vertical direction to create a divided rectangle set. In this case, as shown in the example shown in FIG. 7, a total of 12 divided rectangles of divided rectangles 0 to 11 are formed. The range of each divided rectangle is as shown in FIG.

S13 is the model data acquisition 311 described above.

In S13, the acquisition unit 121 acquires the model data 301 of the models A to P, which is all model data 301, from the database 111.

S14 is the reference position calculation 314 described above. S15 is the model distribution 315 described above. S14 and S15 are executed for each model for which the model data 301 has been acquired in S13.

In S14, the distribution unit 123 calculates a distribution reference position. In the present embodiment, the sorting reference position is the center position of the circumscribed rectangle of the model. As described above, the sorting reference position may be an arbitrary point that serves as a model reference, such as the center of gravity of the model vertex group. The circumscribed rectangle and distribution reference position of each model are as shown in the example shown in FIG.

The southwestern edge of the circumscribed rectangle is (“minimum value of longitude of all vertices constituting the model”, “minimum value of latitude of all vertices constituting the model”). The northeastern end of the circumscribed rectangle is (“maximum longitude of all vertices constituting the model”, “maximum latitude of all vertices constituting the model”). The center of the circumscribed rectangle is (("Southwest edge longitude" + "Northeast edge longitude") / 2, ("Southwest edge latitude" + "Northeast edge latitude") / 2).

In the model distribution 315 in S15, the distribution unit 123 distributes the model into divided rectangles based on the distribution reference position calculated in S14. The distribution unit 123 starts from the divided rectangle 0. The distribution unit 123 determines whether the distribution reference position is included in the divided rectangle. The distribution unit 123 sets the divided rectangle determined to include the distribution reference position as the distribution target divided rectangle. Whether the sorting reference position is included in the divided rectangle can be determined based on whether the sorting reference position is located on the northeastern side of the divided rectangle and on the southwest side of the divided rectangle. After the allocation target divided rectangle is found, the distribution unit 123 sets the range of the divided rectangle and the model ID, and adds the set to the divided rectangle data list 303.

After the processing of S14 and S15 is executed for all models, the divided rectangular data list 303 is as shown in the example shown in FIG. That is, in the divided rectangle data list 303, the divided rectangle 0 and the model L correspond to each other. The divided rectangle 1 corresponds to the models C and D. The divided rectangle 2 corresponds to the model O. The divided rectangle 3 and the model P correspond to each other. The divided rectangle 4 and the model K correspond to each other. The divided rectangle 5 corresponds to the models B and E. The divided rectangle 6 and the model F correspond to each other. The divided rectangle 7 corresponds to the models G, H, and I. The divided rectangle 8 corresponds to the model J. The divided rectangle 9 corresponds to the model A. The divided rectangle 10 and the model M correspond to each other. The divided rectangle 11 and the model N correspond to each other.

S16 is the inclusion rectangle calculation 316 described above. S <b> 16 is executed for each divided rectangle in the divided rectangle data list 303.

In S16, the calculation unit 124 calculates an inclusion rectangle. The inclusion rectangle is a circumscribed rectangle obtained by combining the circumscribed rectangles of all models corresponding to the divided rectangle. The calculation unit 124 specifies a model corresponding to the divided rectangle from the divided rectangle data list 303. That is, for the divided rectangle 1, the calculation unit 124 combines the circumscribed rectangle of the model C and the circumscribed rectangle of the model D to obtain an inclusion rectangle. On the other hand, for the divided rectangle 0, the calculation unit 124 directly uses the circumscribed rectangle of the model L as an inclusion rectangle. The calculation unit 124 similarly obtains an inclusion rectangle for the divided rectangles 2 to 11 as well. Each inclusion rectangle is as the example shown in FIG. After calculating the inclusion rectangle, the calculation unit 124 changes the range of the divided rectangle in the divided rectangle data list 303 to the range of the inclusion rectangle.

After the process of S16 is executed for all divided rectangles, the divided rectangle data list 303 is as shown in the example shown in FIG. That is, in the divided rectangle data list 303, the inclusion of the divided rectangle 0 and ("the west end of the circumscribed rectangle L", "the south end of the circumscribed rectangle L") to ("the east end of the circumscribed rectangle L", "the north end of the circumscribed rectangle L"). The rectangle corresponds. The divided rectangle 1 corresponds to the inclusion rectangles (“west end of circumscribed rectangle C”, “south end of circumscribed rectangle D”) to (“east end of circumscribed rectangle D”, “north end of circumscribed rectangle C”). The division rectangle 2 corresponds to the inclusion rectangles (“West end of circumscribed rectangle O”, “South end of circumscribed rectangle O”) to (“East end of circumscribed rectangle O”, “North end of circumscribed rectangle O”). The division rectangle 3 corresponds to the inclusion rectangles (“west end of circumscribed rectangle P”, “south end of circumscribed rectangle P”) to (“east end of circumscribed rectangle P”, “north end of circumscribed rectangle P”). The division rectangle 4 corresponds to the inclusion rectangles (“west end of circumscribed rectangle K”, “south end of circumscribed rectangle K”) to (“east end of circumscribed rectangle K”, “north end of circumscribed rectangle K”). The division rectangle 5 corresponds to ("west end of the circumscribed rectangle B", "south end of the circumscribed rectangle B") to ("east end of the circumscribed rectangle E", "north end of the circumscribed rectangle B"). The divided rectangles 6 correspond to the inclusion rectangles (“West end of circumscribed rectangle F”, “South end of circumscribed rectangle F”) to (“East end of circumscribed rectangle F”, “North end of circumscribed rectangle F”). The division rectangle 7 corresponds to the inclusion rectangles (“west end of circumscribed rectangle G”, “south end of circumscribed rectangle I”) to (“east end of circumscribed rectangle I”, “north end of circumscribed rectangle G”). The division rectangle 8 corresponds to the inclusion rectangles (“west end of circumscribed rectangle J”, “south end of circumscribed rectangle J”) to (“east end of circumscribed rectangle J”, “north end of circumscribed rectangle J”). The divided rectangles 9 correspond to the inclusion rectangles (“West end of circumscribed rectangle A”, “South end of circumscribed rectangle A”) to (“East end of circumscribed rectangle A”, “North end of circumscribed rectangle A”). The division rectangle 10 corresponds to the inclusion rectangles (“west end of circumscribed rectangle M”, “south end of circumscribed rectangle M”) to (“east end of circumscribed rectangle M”, “north end of circumscribed rectangle M”). The divided rectangles 11 correspond to ("the west end of the circumscribed rectangle N", "the southern end of the circumscribed rectangle N") to ("the east end of the circumscribed rectangle N", "the northern end of the circumscribed rectangle N"). The circumscribed rectangles A to P are circumscribed rectangles of the models A to P.

FIG. 5 shows the procedure of the real-time process 320.

S21 is the display range determination 321 described above.

In S <b> 21, the determination unit 131 determines a display range that is an area displayed on the screen of the display 908 or a window in the screen based on the display center coordinates that are moved by the user's scroll operation using the input device 907. calculate. The display center coordinates are the coordinates of the center of the screen or window. In the present embodiment, the display center coordinates are acquired as latitude and longitude coordinates. The display range is calculated by the following formula.

_Where P _center is the position vector of the display center coordinates, P _eye is the position vector of the viewpoint position coordinates, U is the upward vector, aspect is the aspect ratio = “screen width” / “screen height”, and θ is the vertical viewing angle It is. The viewpoint position coordinates, the upward vector, and the vertical viewing angle are parameters that must be set when displaying the three-dimensional model. For these parameters, predetermined values are used. Α, β, γ, and δ are calculated such that the elevation components of P _RT , P _RB , P _LT , and P _LB are zero. P _RT , P _RB , P _LT , and P _LB calculated by substituting the calculated values into the upper four equations are the vertex coordinates of the display range corresponding to the upper right of the screen, the lower right of the screen, the upper left of the screen, and the lower left of the screen, respectively. It is. The relationship between each parameter and the display range is as shown in the examples shown in FIGS. The display range is as shown in the example in FIG.

S22 is the duplication determination 322 described above. S23 is the acquired data determination 323 described above. S24 is the divided rectangle data acquisition 324 described above. S25 is the model integration 325 described above. S22 to S25 are executed for each divided rectangle in the divided rectangle data list 303.

In S22, the extraction unit 132 determines the overlap between the range of the inclusion rectangle in the divided rectangle data list 303 and the display range. The determination of overlap can be performed using a method for determining the overlap of two quadrangles. Since the method is self-explanatory, detailed description is omitted, but at least one line segment of one quadrangle intersects the line segment of the other quadrangle, or at least one vertex of one square is the other It can be determined that the two rectangles overlap each other. A similar method can be used even when an indefinite polygon is used as the inclusion region instead of the inclusion rectangle. That is, if at least one line segment of one polygon intersects the line segment of the other polygon, or if at least one vertex of one polygon is included in the other polygon, It can be determined that the polygons overlap.

If it is determined that there is no overlap, the process is performed from S22 on the next divided rectangle. If it is determined that there is an overlap, the flow proceeds to S23.

In S23, the extraction unit 132 determines whether or not the divided rectangles determined to have overlap in S22 exist in the acquired divided rectangle list 304. The acquired divided rectangle list 304 is a list indicating the divided rectangles for which the model data 301 of all corresponding models has already been acquired in S24.

If it is determined that the divided rectangle determined to have an overlap in S22 exists in the acquired divided rectangle list 304, the process is performed from S22 on the next divided rectangle. If it is determined that the divided rectangles determined to have overlap in S22 do not exist in the acquired divided rectangle list 304, the flow proceeds to S24.

In S24, based on the model ID registered in the divided rectangle data list 303, the extraction unit 132 acquires model data 301 of all models corresponding to the divided rectangles determined to have an overlap in S22. The extraction unit 132 registers the divided rectangle in the acquired divided rectangle list 304.

In S25, the integration unit 133 integrates the model data 301 of all models acquired in S24, and creates model data 301 of the integrated model. However, if only the model data 301 of one model is acquired in S24, the model data 301 of the one model becomes the model data 301 of the integrated model. The integration unit 133 creates an integrated model VBO in the drawing memory 113. The integration unit 133 registers the model data 301 of the integration model in the VBO. Since model integration can be realized by a general technique called a degenerate triangle, detailed description is omitted, but it can be realized by connecting distant models with invisible triangles. An invisible triangle is a triangle whose three vertices are aligned.

Here, the case where the processing from S22 to S25 is executed in the order of the divided rectangles 0 to 11 will be described.

For the divided rectangle 0, it is determined in S22 that there is an overlap. In S23, since the acquired divided rectangle list 304 is empty, it is determined that the divided rectangle 0 does not exist in the acquired divided rectangle list 304. In S24, the model data 301 of the model L is acquired, and the divided rectangle 0 is registered in the acquired divided rectangle list 304. The acquired divided rectangle list 304 at this point is as shown in the example in FIG. In S25, the model data 301 of the model L is not integrated and is registered alone in the VBO of the drawing memory 113. The contents of the drawing memory 113 at this time are as shown in FIG.

For the divided rectangle 1, it is determined in S22 that there is an overlap. In S23, it is determined that the divided rectangle 1 does not exist in the acquired divided rectangle list 304. In S24, the model data 301 of models C and D is acquired, and the divided rectangle 1 is registered in the acquired divided rectangle list 304. The acquired divided rectangle list 304 at this time is as shown in FIG. In S25, the model data 301 of the models C and D are integrated, and the model data 301 of the integrated model of the models C and D is registered in the VBO of the drawing memory 113. The contents of the drawing memory 113 at this time are as shown in FIG.

When the processes of S22 to S25 are executed for all of the divided rectangles 2 to 11, the model data 301 of the model O is registered in the VBO of the drawing memory 113 for the divided rectangle 2, and the model B, The model data 301 of the E integrated model is registered in the VBO of the drawing memory 113. As a result, the acquired divided rectangle list 304 is as shown in the example shown in FIG. The contents of the drawing memory 113 are as shown in the example shown in FIG.

S26 is the model rendering 326 described above.

In S26, the rendering unit 134 realizes a 3D model display by performing 3D rendering of the model data 301 registered in the VBO.

The real-time processing 320 when the display range is changed as shown in the example shown in FIG. 22 will be described.

For the divided rectangles 1, 2, and 5, it is determined in S 22 that there is an overlap, but in S 23, it is determined that the divided rectangle exists in the acquired divided rectangle list 304. Therefore, the processes of S24 and S25 are not executed. On the other hand, for the divided rectangle 6, it is determined in S22 that there is an overlap, and in S23, it is determined that the divided rectangle does not exist in the acquired divided rectangle list 304. Therefore, in S24, the model data 301 of the model F is acquired, and the divided rectangle 6 is registered in the acquired divided rectangle list 304. In S25, the model data 301 of the model F is not integrated and is registered in the VBO of the drawing memory 113 as a single unit. As a result, the acquired divided rectangle list 304 is as shown in the example in FIG. The contents of the drawing memory 113 are as shown in the example shown in FIG.

Thus, in the present embodiment, only model integration and VBO registration that are newly required due to a change in the display range are performed. Already created VBO can be reused.

In this embodiment, the latitude / longitude coordinate system is used. However, other coordinate systems such as a metric coordinate system may be used as long as the coordinate system is a unique positional relationship.

If it is a map display, the display scale can generally be changed. Therefore, a reference division number 302 suitable for each scale may be set, and the reference division number 302 to be applied may be switched according to a change in display scale.

In this embodiment, only one management rectangle is used, but a plurality of management rectangles may be used, and each management rectangle may be divided individually to set a plurality of division rectangles.

In this embodiment, a navigation map is displayed, but a map for other purposes such as a game map may be displayed. That is, the same configuration as the navigation device 101 may be applied to other types of devices such as game devices.

*** Explanation of effects ***
In the present embodiment, not only the first list 211 indicating the correspondence between each of the plurality of divided regions and each of the plurality of models, but also each of the plurality of divided regions and an inclusion region including at least one model. A second list 212 showing the correspondence is provided. For this reason, the divided area corresponding to the inclusion area at least partially overlapping the display range of the map area can be extracted as the drawing area. The model corresponding to the drawing area is a model representing an object to be displayed. Therefore, according to this embodiment, a model representing an object to be displayed can be reliably rendered.

In this embodiment, the model data 301 is registered in the VBO for each divided rectangle according to the result of determining the overlap between the display range and the inclusion rectangle instead of the overlap between the display range and the divided rectangle. Each model may protrude from the divided rectangle but not from the containing rectangle. Therefore, according to the present embodiment, it is possible to avoid a situation in which a model within the display range is not displayed. In addition, each model can be drawn at high speed.

Embodiment 2. FIG.
In the present embodiment, differences from the first embodiment will be mainly described.

Referring to FIG. 25, the configuration of model data processing system 100 that is a system according to the present embodiment will be described.

The model data processing system 100 includes a DA 102 (Display / Audio), a mobile terminal 103, and a server device 104.

DA102 is mounted on a vehicle.

DA 102 includes an input device 907 and a display 908.

The input device 907 and the display 908 are the same as those provided in the navigation device 101 in the first embodiment.

The portable terminal 103 is used by a user such as a vehicle driver. Specifically, the mobile terminal 103 is a smartphone. Note that the mobile terminal 103 may be a tablet, a mobile phone, or another type of mobile terminal.

The server device 104 may be installed in an arbitrary place, but in the present embodiment, it is installed in the data center.

DA 102 and mobile terminal 103 transmit and receive data to and from each other by wired communication or wireless communication.

The mobile terminal 103 and the server device 104 transmit and receive data to and from each other via the network 105. Specifically, the network 105 is a mobile communication network. The network 105 may be a combination of a mobile communication network and a WAN (Wide / Area / Network), a combination of a mobile communication network and the Internet, or other types of networks.

The server device 104 includes a database 111 and a management memory 112.

The database 111 and the management memory 112 are the same as those provided in the navigation device 101 in the first embodiment.

The server device 104 further includes an acquisition unit 121, a division unit 122, a distribution unit 123, a calculation unit 124, and a transmission unit 141.

The acquisition unit 121, the division unit 122, the distribution unit 123, the calculation unit 124, and the determination unit 131 are the same as those included in the navigation device 101 in the first embodiment.

The transmission unit 141 transmits the first list 211 and the second list 212 stored in the management memory 112 to the mobile terminal 103 via the network 105.

The mobile terminal 103 includes a drawing memory 113.

The drawing memory 113 is the same as that provided in the navigation device 101 in the first embodiment.

The portable terminal 103 further includes a determination unit 131, an extraction unit 132, an integration unit 133, a rendering unit 134, and a reception unit 142.

The determination unit 131, the extraction unit 132, the integration unit 133, and the rendering unit 134 are the same as those included in the navigation device 101 in the first embodiment.

The receiving unit 142 receives the first list 211 and the second list 212 from the server device 104 via the network 105. The receiving unit 142 inputs the first list 211 to the integrating unit 133. The receiving unit 142 inputs the second list 212 to the extracting unit 132.

The rendering unit 134 renders the data 201 stored in the drawing memory 113. Thereby, the video data of the map for navigation including the object within the display range is created. The video data is transmitted to the DA 102 and displayed on the screen of the display 908.

In the present embodiment, each unit of the model data processing system 100 is provided in a distributed manner in the mobile terminal 103 and the server device 104, but the distribution method of each unit can be changed as appropriate. Each unit can be provided only in the mobile terminal 103 or only in the server device 104. That is, the model data processing system 100 may be configured by only the DA 102 and the server device 104 or only by the DA 102 and the mobile terminal 103. The model data processing system 100 may include a device other than the DA 102, the portable terminal 103, and the server device 104.

Embodiment 3 FIG.
The configuration of the system according to the present embodiment, the operation of the system according to the present embodiment, and the effects of the present embodiment will be described in order. Differences from the first embodiment will be mainly described.

*** Explanation of configuration ***
A model data processing system 100, which is a system according to the present embodiment, is composed of a navigation device 101 as in the first embodiment shown in FIG.

The database 111, the management memory 112, and the drawing memory 113 are the same as those provided in the navigation device 101 in the first embodiment.

The navigation device 101 further includes an acquisition unit 121, a division unit 122, a distribution unit 123, a calculation unit 124, a determination unit 131, an extraction unit 132, an integration unit 133, a rendering unit 134, and a re-division unit. 151 and a merging unit 152.

The acquisition unit 121, the division unit 122, the distribution unit 123, the calculation unit 124, the determination unit 131, the extraction unit 132, the integration unit 133, and the rendering unit 134 are the same as those included in the navigation device 101 in the first embodiment.

The re-dividing unit 151 corresponds to one or more models in the first list 211, and a divided region whose index for determining the processing load for rendering the data 201 of the one or more models is higher than the reference Subdivide. Based on the position of the one or more models in the map area, the re-dividing unit 151 distributes the one or more models to the plurality of divided areas after re-division, and updates the first list 211. This update is performed before the calculation unit 124 acquires the first list 211 from the management memory 112. Therefore, the calculation unit 124 acquires the first list 211 after being updated by the re-division unit 151 from the management memory 112.

In the present embodiment, the index used by the subdivision unit 151 is the number of models. If the index used by the re-dividing unit 151 is an index that can determine the processing load for rendering the model data 201, the number of model vertices, the area of the model, the distance between the models, or a combination thereof Any index may be used.

As a modification of the present embodiment, the re-dividing unit 151 corresponds to one or more models in the first list 211, and determines the processing load for rendering the data 201 of the one or more models. A divided region having the same index as the reference may be subdivided.

The merging units 152 are adjacent to each other and correspond to a total of zero or more models in the first list 211, and an index for determining the processing load for rendering the data of the zero or more models is below the reference. Two divided areas are merged, and the first list 211 is updated. This update is performed before the calculation unit 124 acquires the first list 211 from the management memory 112. Therefore, the calculation unit 124 acquires the first list 211 after being updated by the merging unit 152 from the management memory 112.

In the present embodiment, the index used by the merging unit 152 is the number of models. If the index used by the merging unit 152 is an index that can determine the processing load for rendering the model data 201, the number of model vertices, the area of the model, the distance between the models, or a combination of these Any index may be used.

As a modification of the present embodiment, the merging units 152 are adjacent to each other and correspond to a total of zero or more models in the first list 211, and the processing load for rendering the data of the zero or more models is reduced. You may make it not merge two division area | regions with the same parameter | index for determination as a reference | standard. That is, the merging unit 152 is adjacent to each other and corresponds to a total of zero or more models in the first list 211, and an index for determining the processing load for rendering the data of the zero or more models is a reference. Only two lower divided regions may be merged.

The pre-processing 310 includes the same processing as the first embodiment such as model data acquisition 311, information acquisition 312, management rectangle division 313, reference position calculation 314, model distribution 315, inclusion rectangle calculation 316, division determination 331, division rectangle Processing such as subdivision 332, integration determination 333, peripheral search 334, and division rectangle integration 335 is included. The division determination 331 and the divided rectangle subdivision 332 are executed by the subdivision unit 151. The integration determination 333, the peripheral search 334, and the divided rectangle integration 335 are executed by the merging unit 152.

The division determination 331 determines whether or not the divided rectangles in the divided rectangle data list 303 can be divided after the model distribution corresponding to all the model data 301 in the database 111 is completed in the model distribution 315 based on the reference integration index 305. It is processing to do. The reference integrated index 305 corresponds to an index used by the re-dividing unit 151 described above.

The division rectangle subdivision 332 is a process of subdividing the division rectangle when the division rectangle can be divided.

The integration determination 333 is a process for determining whether or not the divided rectangles in the divided rectangle data list 303 can be integrated after the division of the divided rectangles is completed in the divided rectangle re-division 332 based on the reference integration index 305. The reference integrated index 305 also corresponds to an index used by the merging unit 152 described above.

Peripheral search 334 is a process of searching for other integrable divided rectangles around the divided rectangles when the divided rectangles can be integrated.

The divided rectangle integration 335 is a process of integrating the divided rectangles when there are other divided rectangles that can be integrated by the peripheral search 334.

The real-time process 320 is the same as that in the first embodiment.

*** Explanation of operation ***
The operation of the model data processing system 100 will be described with reference to FIGS. 29 and 30. FIG. The operation of the model data processing system 100 corresponds to the drawing method according to the present embodiment. The operation of the model data processing system 100 corresponds to the processing procedure of the model data processing program according to the present embodiment.

The standard integrated index 305 is the number of models = “2”. Other settings are the same as those in the first embodiment. The size of the management rectangle, the reference division number 302, the reference integration index 305, the number of models, the shape, size, position, and the like can be changed as appropriate.

29 and 30 show the procedure of the pre-processing 310.

S31 to S35 are the same as S11 to S15 in the first embodiment. Therefore, after the processing of S34 and S35 is executed for all models, the divided rectangle data list 303 is as shown in the example shown in FIG.

From S36, the division rectangle re-division processing starts.

In S36, the re-dividing unit 151 adds a division flag to the divided rectangular data list 303. The division flag is a flag indicating whether each divided rectangle is “division target” or “non-division target”. The re-dividing unit 151 sets the division flag of all the divided rectangles to “division target”.

S37 and S38 are the division determination 331 described above. S40 is the divided rectangle subdivision 332 described above. S37 to S41 are repeatedly executed until all the divided rectangles become “not to be divided”.

In S37, the re-division unit 151 searches the division rectangle data list 303 for one division rectangle that is the “division target”.

If there is no divided rectangle that is the “division target”, the flow proceeds to S42. If there is a division rectangle of “division target”, the flow proceeds to S38.

In S38, the re-division unit 151 determines whether the number of models corresponding to the division rectangle of “division target” is equal to or less than the reference integration index 305.

If the number of models is less than or equal to the reference integrated index 305, the flow proceeds to S39. If the number of models is greater than the reference integration index 305, the flow proceeds to S40.

In S39, the re-dividing unit 151 sets the division flag of the divided rectangle in the divided rectangle data list 303 to “not divided”. The flow returns to S37.

In S40, the re-dividing unit 151 re-divides the divided rectangle. In the subdivision, the divided rectangle is divided into two in the horizontal direction and two in the vertical direction, and a new divided rectangle set is created. The model distributed to the original divided rectangle is distributed to the divided rectangle set. Note that the number of subdivisions is not limited to 2 × 2, but may be any number such as 4 × 2.

In S41, the re-dividing unit 151 sets the division flag of all the divided rectangles included in the new divided rectangle set created in S40 to “division target”. The flow returns to S37.

Here, a case will be described in which the processing from S36 to S41 is executed in a state where the sorting is completed as in the example shown in FIG.

In S37, one divided rectangle which is the “division target” is searched from the divided rectangle data list 303. At this time, all the divided rectangles in the divided rectangle data list 303 are “division targets”, and it is assumed that the divided rectangle 0 is searched. Since the number of models corresponding to the divided rectangle 0 is 1, it is determined in S38 that the number of models is “2” or less, which is the reference integrated index 305. In S39, the division flag of the divided rectangle 0 in the divided rectangle data list 303 is changed to “not divided”. The flow returns to S37. For the divided rectangles 1 to 6, the same processing as the divided rectangle 0 is performed. The divided rectangle data list 303 at this time is as shown in the example in FIG.

When the divided rectangle 7 is searched in S37, the number of models corresponding to the divided rectangle 7 is three. Therefore, in S38, it is determined that the number of models is larger than “2” that is the reference integrated index 305. Is done. In S40, the divided rectangle 7 is divided into divided rectangles 12 to 15 as in the example shown in FIG. The divided rectangle 7 is deleted. Models G, H, and I are distributed to the divided rectangles 12 to 15 based on the distribution reference position calculated in S14. In S41, the division flag of the divided rectangles 12 to 15 in the divided rectangle data list 303 is set to “division target”. The flow returns to S37. The divided rectangle data list 303 at this time is as shown in the example in FIG.

The division rectangles 8 to 15 are all “division targets”, but the number of models is equal to or less than the reference integration index 305. Therefore, in S39, the division flag of the division rectangles 8 to 15 in the division rectangle data list 303 is set to “non-division target”. Is changed. The flow returns to S37.

In S37, since there is no “division target” division rectangle, the division rectangle re-division processing ends. The flow proceeds to S42. The divided rectangle data list 303 at this time is as shown in the example in FIG. That is, in the divided rectangle data list 303, the divided rectangle 0 and the model L correspond to each other. The divided rectangle 1 corresponds to the models C and D. The divided rectangle 2 corresponds to the model O. The divided rectangle 3 and the model P correspond to each other. The divided rectangle 4 and the model K correspond to each other. The divided rectangle 5 corresponds to the models B and E. The divided rectangle 6 and the model F correspond to each other. The divided rectangle 8 corresponds to the model J. The divided rectangle 9 corresponds to the model A. The divided rectangle 10 and the model M correspond to each other. The divided rectangle 11 and the model N correspond to each other. The divided rectangle 12 corresponds to the models G and H. The divided rectangle 13 corresponds to the model I. There is no model corresponding to the divided rectangles 14 and 15.

From S42, the division rectangle integration process starts.

In S42, the merging unit 152 adds an integration flag to the divided rectangular data list 303. The integration flag is a flag indicating whether each divided rectangle is “to be integrated” or “not to be integrated”. The merging unit 152 sets the integration flag of all the divided rectangles to “integration target”.

S43 and S44 are the integration determination 333 described above. S46 is the above-described peripheral search 334. S47 is the divided rectangle integration 335 described above. S43 to S48 are repeatedly executed until all the divided rectangles become “not integrated”.

In S43, the merging unit 152 searches the divided rectangle data list 303 for one divided rectangle which is the “integration target”.

If there is no divided rectangle that is the “integration target”, the flow proceeds to S49. If there is a division rectangle of “integration target”, the flow proceeds to S44.

In S44, the merging unit 152 determines whether the number of models corresponding to the “integration target” divided rectangle is equal to or greater than the reference integration index 305.

If the number of models is greater than or equal to the reference integrated index 305, the flow proceeds to S45. If the number of models is less than the reference integrated index 305, the flow proceeds to S46.

In S45, the merging unit 152 sets the integration flag of the divided rectangle in the divided rectangle data list 303 to “not integrated”. The flow returns to S43.

In S46, the merging unit 152 searches for other division rectangles that can be integrated from the periphery of the division rectangle. The other division rectangles that can be integrated are partly shared by the division rectangle and the number of corresponding models added to the number of models corresponding to the division rectangle is equal to or less than the reference integration index 305 And a divided rectangle that satisfies the condition of “integration target”.

If there is no other divided rectangle that can be integrated, the flow proceeds to S45. If there is another divided rectangle that can be integrated, the flow proceeds to S47.

In S47, the merging unit 152 integrates the divided rectangle and another divided rectangle that can be integrated. In the integration, two divided rectangle ranges are merged to create one divided rectangle. The model that has been distributed to the original two divided rectangles is distributed to the one divided rectangle.

In S48, the merging unit 152 sets the integration flag of the divided rectangle created in S47 to “integration target”. The flow returns to S43.

Here, the case where the processing from S42 to S48 is executed in a state where the re-division is completed as in the example shown in FIG.

In S43, one divided rectangle which is the “integration target” is searched from the divided rectangle data list 303. At this time, all the divided rectangles in the divided rectangle data list 303 are “integration targets”, and it is assumed that the divided rectangle 0 is searched. Since the number of models corresponding to the divided rectangle 0 is 1, it is determined in S44 that the number of models is smaller than “2” that is the reference integrated index 305. In order to satisfy the condition of another divided rectangle that can be integrated only by the divided rectangle 4, the divided rectangle 4 is searched in S46. In S47, as shown in FIG. 35, the divided rectangle 0 and the divided rectangle 4 are merged, and the divided rectangle 16 is created. The divided rectangles 0 and 4 are deleted. In S48, the integration flag of the divided rectangle 16 in the divided rectangle data list 303 is set to “integration target”. The flow returns to S43. The divided rectangle data list 303 at this time is as shown in FIG.

Suppose that the divided rectangle 1 is searched in the next S43. Since the number of models corresponding to the divided rectangle 1 is two, it is determined in S44 that the number of models is “2” or more which is the reference integrated index 305. In S45, the integration flag of the divided rectangle 1 in the divided rectangle data list 303 is changed to “not integrated”. The flow returns to S43.

Suppose that the divided rectangle 2 is searched in the next S43. Since the number of models corresponding to the divided rectangle 2 is one, it is determined in S44 that the number of models is smaller than “2” which is the reference integrated index 305. It is assumed that the divided rectangles 3 and 6 satisfy the conditions of other divided rectangles that can be integrated, but the divided rectangle 3 is searched in S46. In S47, the divided rectangle 2 and the divided rectangle 3 are merged, and the divided rectangle 17 is created. The divided rectangles 2 and 3 are deleted. In S48, the integration flag of the divided rectangle 17 in the divided rectangle data list 303 is set to “integration target”. The flow returns to S43.

Suppose that the divided rectangle 5 is searched in the next S43. Since the number of models corresponding to the divided rectangle 5 is two, it is determined in S44 that the number of models is “2” or more which is the reference integrated index 305. In S45, the integration flag of the divided rectangle 5 in the divided rectangle data list 303 is changed to “not integrated”. The flow returns to S43.

Subsequently, when S43 and subsequent steps are performed, the divided rectangle 6 and the divided rectangle 10 are merged and the divided rectangle 18 is created as shown in the example shown in FIG. The divided rectangle 8 and the divided rectangle 9 are merged to create a divided rectangle 19. The divided rectangle 11 and the divided rectangle 14 are merged to create a divided rectangle 20. The integration flag of the divided rectangle 12 in the divided rectangle data list 303 is changed to “not integrated”. The divided rectangle 13 and the divided rectangle 15 are merged to create a divided rectangle 21. The flow returns to S43. The divided rectangle data list 303 at this point is as shown in the example in FIG.

Further, when S43 and subsequent steps are performed, the integration flag of the divided rectangles 16 to 19 in the divided rectangle data list 303 is changed to “not integrated”. As shown in the example shown in FIG. 39, the divided rectangle 20 and the divided rectangle 21 are merged to create a divided rectangle 22. Thereafter, the integration flag of the divided rectangle 22 in the divided rectangle data list 303 is also changed to “not integrated”. The flow returns to S43.

In S43, since there is no division rectangle of “integration target”, the division rectangle integration processing ends. The flow proceeds to S49. The divided rectangle data list 303 at this time is as shown in FIG. That is, in the divided rectangle data list 303, the divided rectangle 1 corresponds to the models C and D. The divided rectangle 5 corresponds to the models B and E. The divided rectangle 12 corresponds to the models G and H. The divided rectangle 16 corresponds to the models L and K. The divided rectangle 17 corresponds to the models O and P. The divided rectangle 18 corresponds to the models F and M. The divided rectangle 19 corresponds to the models J and A. The divided rectangle 22 corresponds to the models N and I.

S49 is the same as S16 in the first embodiment. S 49 is executed for each divided rectangle in the divided rectangle data list 303.

In S49, for the divided rectangle 1, the circumscribed rectangle of the model C and the circumscribed rectangle of the model D are synthesized to obtain an inclusion rectangle. For the divided rectangle 5, the calculation unit 124 combines the circumscribed rectangle of the model B and the circumscribed rectangle of the model E to obtain an inclusion rectangle. The calculation unit 124 similarly obtains an inclusion rectangle for the divided rectangles 12, 16 to 19, and 22. Each inclusion rectangle is as shown in FIG. After calculating the inclusion rectangle, the calculation unit 124 changes the range of the divided rectangle in the divided rectangle data list 303 to the range of the inclusion rectangle.

After the process of S49 is executed for all divided rectangles, the divided rectangle data list 303 is as shown in the example shown in FIG. That is, in the divided rectangle data list 303, the inclusion of divided rectangle 1 and ("west end of circumscribed rectangle C", "south end of circumscribed rectangle D") to ("east end of circumscribed rectangle D", "north end of circumscribed rectangle C"). The rectangle corresponds. The division rectangle 5 corresponds to ("west end of the circumscribed rectangle B", "south end of the circumscribed rectangle B") to ("east end of the circumscribed rectangle E", "north end of the circumscribed rectangle B"). The divided rectangles 12 correspond to the inclusion rectangles (“west end of circumscribed rectangle G”, “south end of circumscribed rectangle G”) to (“east end of circumscribed rectangle H”, “north end of circumscribed rectangle G”). The divided rectangles 16 correspond to the inclusion rectangles (“west end of the circumscribed rectangle K”, “south end of the circumscribed rectangle L”) to (“east end of the circumscribed rectangle L”, “north end of the circumscribed rectangle K”). The divided rectangles 17 correspond to the inclusion rectangles (“west end of circumscribed rectangle O”, “south end of circumscribed rectangle P”) to (“east end of circumscribed rectangle P”, “north end of circumscribed rectangle O”). The divided rectangles 18 correspond to (“the west end of the circumscribed rectangle F”, “the south end of the circumscribed rectangle F”) to (“the east end of the circumscribed rectangle M”, “the north end of the circumscribed rectangle M”). The divided rectangles 19 correspond to ("west end of the circumscribed rectangle A", "south end of the circumscribed rectangle A") to ("east end of the circumscribed rectangle A", "increased rectangle of the circumscribed rectangle A"). The divided rectangles 22 correspond to the inclusion rectangles (“West end of circumscribed rectangle N”, “South end of circumscribed rectangle I”) to (“East end of circumscribed rectangle I”, “North end of circumscribed rectangle N”).

Since the difference from the first embodiment is only the pre-processing 310 described above, description of the real-time processing 320 is omitted.

In the present embodiment, the model data processing system 100 may be configured by the DA 102, the mobile terminal 103, and the server device 104 as in the second embodiment.

*** Explanation of effects ***
In the present embodiment, since the divided rectangles are subdivided or integrated according to the reference integrated index 305, the number of models in the divided rectangle can be averaged to about the reference integrated index 305. That is, the number of models in the VBO registered in the real-time process 320 can be averaged. Therefore, it is possible to smooth the load of the three-dimensional rendering process performed in the model rendering 326.

In the present embodiment, the number of models that can be allocated to one divided rectangle can be reduced by subdivision. Therefore, the time required for the VBO registration process can be reduced as compared with the case where many models are distributed to some of the divided rectangles.

Further, in the present embodiment, it is possible to eliminate divided rectangles with few assigned models by integration. For this reason, the number of registrations in the VBO can be reduced and the registration overhead can be reduced as compared with the case where there are divided rectangles with fewer assigned models. Since the integration is performed based on the reference integration index 305, a situation in which many models are assigned to one VBO by re-division can be avoided.

Hereinafter, with reference to FIG. 43, a hardware configuration example of the navigation device 101 which is a device constituting the model data processing system 100 according to the first and third embodiments will be described.

The navigation device 101 is a computer. The navigation device 101 includes hardware such as a processor 901, an auxiliary storage device 902, a memory 903, a communication device 904, an input interface 905, and a display interface 906. The processor 901 is connected to other hardware via the signal line 910, and controls these other hardware. The input interface 905 is connected to the input device 907. The display interface 906 is connected to the display 908.

The processor 901 is an IC (Integrated Circuit) that performs processing. The processor 901 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit).

The auxiliary storage device 902 is, for example, a ROM (Read / Only / Memory), a flash memory, or an HDD (Hard / Disk / Drive). The database 111 can be implemented by the auxiliary storage device 902.

The memory 903 is, for example, a RAM (Random Access Memory). The management memory 112 and the drawing memory 113 can be implemented by the memory 903.

The communication device 904 includes a receiver 921 that receives data and a transmitter 922 that transmits data. The communication device 904 is, for example, a communication chip or a NIC (Network, Interface, Card).

The input interface 905 is a port to which the cable 911 of the input device 907 is connected. The input interface 905 is, for example, a USB (Universal / Serial / Bus) terminal.

The display interface 906 is a port to which the cable 912 of the display 908 is connected. The display interface 906 is, for example, a USB terminal or an HDMI (registered trademark) (High Definition, Multimedia, Interface) terminal.

The input device 907 is, for example, a mouse, a touch pen, a keyboard, or a touch panel.

The display 908 is, for example, an LCD (Liquid / Crystal / Display).

The auxiliary storage device 902 includes “parts” such as an acquisition unit 121, a division unit 122, a distribution unit 123, a calculation unit 124, a determination unit 131, an extraction unit 132, an integration unit 133, a rendering unit 134, a subdivision unit 151, and a merge unit 152. ”Is stored. This program is loaded into the memory 903, read into the processor 901, and executed by the processor 901. The auxiliary storage device 902 also stores an OS (Operating System). At least a part of the OS is loaded into the memory 903, and the processor 901 executes a program that realizes the function of “unit” while executing the OS.

43, one processor 901 is shown, but the navigation apparatus 101 may include a plurality of processors 901. A plurality of processors 901 may execute a program for realizing the function of “unit” in cooperation with each other.

Information, data, signal values, and variable values indicating the processing results of “unit” are stored in the auxiliary storage device 902, the memory 903, or a register or cache memory in the processor 901.

“Parts” may be provided on “Circuits”. Further, “part” may be read as “circuit”, “process”, “procedure”, or “processing”. "Circuit" and "Circuitry" include not only the processor 901 but also other logic ICs, GA (Gate-Array), ASIC (Application-Specific-Integrated-Circuit), FPGA (Field-Programmable-Gate-Array), etc. It is a concept that includes various types of processing circuits.

The same hardware configuration as that shown in FIG. 43 can also be applied to the mobile terminal 103 and the server device 104 that are devices constituting the model data processing system 100 according to the second embodiment.

As mentioned above, although embodiment of this invention was described, you may implement combining some of these embodiment. Alternatively, any one or some of these embodiments may be partially implemented. For example, only one of those described as “parts” in the description of these embodiments may be employed, or some arbitrary combinations may be employed. In addition, this invention is not limited to these embodiment, A various change is possible as needed.

100 model data processing system, 101 navigation device, 102 DA, 103 mobile terminal, 104 server device, 105 network, 111 database, 112 management memory, 113 drawing memory, 121 acquisition unit, 122 division unit, 123 distribution unit, 124 Calculation unit, 131 determination unit, 132 extraction unit, 133 integration unit, 134 rendering unit, 141 transmission unit, 142 reception unit, 151 subdivision unit, 152 merge unit, 201 data, 211 first list, 212 second list, 301 Model data, 302 Standard number of divisions, 303 Division rectangle data list, 304 Acquired division rectangle list, 305 Reference integration index, 310 Preprocessing, 311 Model data acquisition, 312 Information acquisition, 313 Management rectangle Split, 314 reference position calculation, 315 model distribution, 316 inclusion rectangle calculation, 320 real-time processing, 321 display range determination, 322 overlap determination, 323 acquired data determination, 324 divided rectangle data acquisition, 325 model integration, 326 model rendering, 331 Division determination, 332 division rectangle re-division, 333 integration determination, 334 peripheral search, 335 division rectangle integration, 901 processor, 902 auxiliary storage device, 903 memory, 904 communication device, 905 input interface, 906 display interface, 907 input device, 908 Display, 910 signal line, 911 cable, 912 cable, 921 receiver, 922 transmitter.

Claims

An acquisition unit for acquiring data of a plurality of models each representing an object existing in the map area;
A dividing unit configured to divide the map area and set a plurality of divided areas;
Based on the positions of the plurality of models in the map area, the plurality of models are distributed to the plurality of divided areas, and a first list indicating correspondence between each of the plurality of divided areas and the distributed model is a management memory A distribution unit to be stored in
Obtaining the first list from the management memory, and for a divided area corresponding to at least one model in the first list, an inclusion area including the at least one model in the map area A calculation unit that calculates and outputs a second list indicating correspondence between each of the plurality of divided regions and the calculated inclusion region as information for rendering the data of the plurality of models acquired by the acquisition unit; A model data processing system comprising:
A determination unit for determining a display range of the map area;
An extraction unit that extracts, as a drawing area, a divided area corresponding to an inclusion area at least partially overlapping the display range from the second list;
If the drawing area corresponds to one model in the first list, the data of the one model acquired by the acquisition unit is stored in a drawing memory, and the drawing is stored in the first list. When the region corresponds to two or more models, an integration unit that integrates the data of the two or more models acquired by the acquisition unit and stores the integrated data in the drawing memory;
The model data processing system according to claim 1, further comprising: a rendering unit that renders data stored in the drawing memory.
The map corresponding to one or more models in the first list is subdivided into divided areas whose index for determining the processing load for rendering the data of the one or more models is higher than a reference, and the map Based on the position of the one or more models in a region, further comprising a subdivision unit that distributes the one or more models to the plurality of subregions after subdivision, and updates the first list,
The model data processing system according to claim 1, wherein the calculation unit acquires the first list updated by the re-division unit from the management memory.
4. The model data processing system according to claim 3, wherein the index used by the subdivision unit is the number of models.
Two divisions that are adjacent to each other and correspond to a total of zero or more models in the first list, and an index for determining the processing load for rendering the data of the zero or more models is below a reference Further comprising a merging unit for merging regions and updating the first list;
5. The model data processing system according to claim 1, wherein the calculation unit acquires the first list updated by the merging unit from the management memory. 6.
The model data processing system according to claim 5, wherein the index used by the merging unit is the number of models.
The model data processing system according to any one of claims 1 to 6, wherein the inclusion area calculated by the calculation unit is a circumscribed rectangle surrounding the at least one model.
The model data processing system according to any one of claims 1 to 7, wherein the position referred to by the distribution unit is a position of a center of a circumscribed rectangle surrounding each of the plurality of models.
A first list showing a correspondence between each of a plurality of divided areas set by dividing a map area and each of a plurality of models each representing an object existing in the map area; each of the plurality of divided areas; and Receiving a second list indicating a correspondence with an inclusion region including at least one model in the map region;
A determination unit for determining a display range of the map area;
An extraction unit that extracts, as a drawing area, a divided area corresponding to an inclusion area at least partially overlapping the display range from the second list;
When the drawing area corresponds to one model in the first list, data of the one model acquired from the database is stored in a drawing memory, and the drawing area and the drawing area are stored in the first list. An integration unit that integrates data of the two or more models acquired from the database and stores the integrated data in the drawing memory, when two or more models correspond;
A model data processing system comprising: a rendering unit that renders data stored in the drawing memory.
Computer
Get multiple models of data representing each object in the map area from the database,
Dividing the map area to set a plurality of divided areas,
Based on the positions of the plurality of models in the map area, the plurality of models are distributed to the plurality of divided areas,
Including including at least one model in the map area for a divided area corresponding to at least one model in the first list indicating correspondence between each of the plurality of divided areas and the distributed model Calculate the area,
From the second list showing the correspondence between each of the plurality of divided areas and the calculated inclusion area, a divided area corresponding to the inclusion area at least partially overlapping the display range of the map area is extracted as a drawing area,
If the drawing area corresponds to one model in the first list, the data of the one model acquired from the database is stored in a drawing memory, and the drawing area is stored in the first list. And two or more models correspond to each other, the data of the two or more models acquired from the database are integrated, and the integrated data is stored in the drawing memory,
A drawing method for rendering data stored in the drawing memory.
On the computer,
A process of acquiring data of a plurality of models each representing an object existing in a map area from a database;
A process of dividing the map area and setting a plurality of divided areas;
Based on the positions of the plurality of models in the map area, the plurality of models are distributed to the plurality of divided areas, and a first list indicating correspondence between each of the plurality of divided areas and the distributed model is a management memory Processing to store in
Obtaining the first list from the management memory, and for a divided area corresponding to at least one model in the first list, an inclusion area including the at least one model in the map area And calculating and outputting a second list indicating the correspondence between each of the plurality of divided regions and the calculated inclusion region as information for rendering the data of the plurality of models acquired from the database. Model data processing program to make.
A first list showing a correspondence between each of a plurality of divided areas set by dividing a map area and each of a plurality of models each representing an object existing in the map area; each of the plurality of divided areas; and Receiving a second list indicating a correspondence with an inclusion region including at least one model in the map region;
On the computer,
Processing for determining a display range of the map area;
A process of extracting, from the second list, a divided area corresponding to an inclusion area at least partially overlapping the display range as a drawing area;
When the drawing area corresponds to one model in the first list, data of the one model acquired from the database is stored in a drawing memory, and the drawing area and the drawing area are stored in the first list. When two or more models correspond, a process of integrating the data of the two or more models acquired from the database, and storing the integrated data in the drawing memory;
A model data processing program for executing rendering of data stored in the drawing memory.