CN110705096B - A course measurement modeling system adapted to golf simulation software and its application method - Google Patents

Abstract

The invention discloses a course measurement and modeling system adapted to golf simulation software and its use method, comprising a power supply module, a processing unit, a terrain modeling unit and a building extraction unit, the output end of the processing unit is connected with the terrain modeling unit The input end of described processing unit is connected with the input end of terrain modeling unit, the output end of described terrain modeling unit is connected with the input end of building extraction unit, described processing unit, terrain modeling unit Both the building extraction unit and the building extraction unit are electrically connected to the power supply module. The invention relates to the technical field of golf simulation practice software. The golf course measurement modeling system adapted to golf simulation software and its application method can handle obstacles very well. The evaluation of the method implemented on the ISPRS benchmark data set for ground extraction shows that compared with the existing technology, the accuracy is improved and the The error is reduced, and there are more scenes to adapt to, which is more conducive to the promotion of golf.

Description

A course measurement modeling system adapted to golf simulation software and its application method

technical field

The invention relates to the technical field of golf simulation practice software, in particular to a golf course measurement modeling system adapted to golf simulation software and a method for using the same.

Background technique

Golf, commonly known as small white ball, is an outdoor sport. Individual or team players use different golf clubs to hit a small ball into the hole on the green. Most games have 18 holes, and the one with the fewest strokes is the winner. Or, the most basic principle of so-called golfing is to hit a ball continuously from the table until it enters the hole. In short, it starts from the first shot, then hits the ball repeatedly with the second and third shots There is no other way to hit the ball into the hole. If you move the ball with the ball, or use methods such as throwing or rolling, it is against the rules.

There are two types of field models in the existing golf simulation practice software, one is the fixed field model used in software development, and the other is the use of some famous golf course models and these scenes are mostly paid for use, such as CreativeGolf3D .

These software users have a poor sense of substitution and cannot achieve an immersive experience, and users can only know the hitting data from the data fed back by the simulator, which cannot be compared with the landing point and arc of the actual scene, which leads to The user cannot have an intuitive feeling to oneself batting level.

Contents of the invention

(1) Solved technical problems

Aiming at the deficiencies of the prior art, the present invention provides a course measurement modeling system adapted to golf simulation software and its use method, which can handle obstacles very well, and the method evaluation for the implementation of the ISPRS reference data set for ground extraction shows that, Compared with the prior art, the accuracy is improved, the error is reduced, more scenes are adapted, and it is more conducive to the popularization of golf.

(2) Technical solution

In order to achieve the above object, the present invention is achieved through the following technical solutions: a golf course measurement modeling system adapted to golf simulation software and its use method, including a power supply module, a processing unit, a terrain modeling unit and a building extraction unit, the The output end of the processing unit is connected to the input end of the terrain modeling unit, the output end of the processing unit is connected to the input end of the terrain modeling unit, and the output end of the terrain modeling unit is connected to the input end of the building extraction unit , the processing unit, the terrain modeling unit and the building extraction unit are all electrically connected to the power module.

Preferably, the terrain modeling unit includes a digital terrain model generation module, a grid decomposition and feature mapping module, a DTM generation module, a threshold value generation module and a point filtering module.

Preferably, the output of the digital terrain model generation module is connected to the input of the grid decomposition and feature mapping module, and the output of the grid decomposition and feature mapping module is connected to the input of the DTM generation module, and the DTM generates The output end of the module is connected with the output end of the point filtering module, and the output end of the threshold generation module is connected with the input end of the point filtering module.

Preferably, the building extraction unit includes a three-type attribute detection module, an overall modeling module, a model exporting module and a model adjustment module.

Preferably, the output of the three types of attribute detection modules is connected to the input of the overall modeling module, the output of the overall modeling module is connected to the input of the model export module, and the output of the model export module is connected to the model Adjust the input connections of the module.

A method for using a golf course measurement modeling system adapted to golf simulation software, the specific steps comprising:

Step 1: Topographic measurement data extraction: use a difference-based lidar to extract the data of the ground, building contours and local fitting surfaces;

Step 2: Generate a digital terrain model: build a regular grid on the LiDAR point cloud through the digital terrain model generation module, and construct a grid g on the input LiDAR point cloud L={L _i }: E→R To establish the connectivity between points, the grid g: E→R occupies the space E, where p∈E is the grid point, and the construction of g is divided into the following three steps:

1. Rg defines the resolution of g, according to LiDAR data density Rg=1:0/DL;

2.g[p] is the value of g at point p;

式中，Pn为/>

在邻域/>

中包含不小于三个最近点的点，dp为Pn与Pn间的欧氏距离，r＝2为定义插值光滑性的幂参数；3.p* indicates that the undefined grid point g[p*] obtained when the corresponding grid unit does not contain points is estimated by inverse distance weighting, and accurate spatial interpolation is obtained by

In the formula, Pn is />

in the neighborhood />

Include not less than three nearest points, dp is the Euclidean distance between Pn and Pn, r=2 is the power parameter defining the interpolation smoothness;

Step 3: Mesh decomposition and feature mapping: use the eigenvalues contained in the map g through the mesh decomposition and feature mapping module to perform multi-point grid decomposition, and realize effective DTM generation through the DTM generation module;

Step 4: point filtering: set the threshold of the point filtering module through the threshold generation module, and judge the threshold through the point filtering module to identify and delete features smaller than the threshold;

和/>

表示拟合窗口和连接窗口转换为p，并且定义F和L的范围，通过最小化平方差来拟合，在p时/>

和/>

的关系为/>

Step 5: Extraction of buildings: Segment a set of non-ground points SnG obtained in the DTM generation process into building points and non-building points, consider large ground objects with planes as buildings, and consider three types of objects through the three-category attribute detection module Class attributes to detect buildings, geometric attributes describing feature width and height, surface attributes describing the surface curvature of each point, area attributes describing non-ground areas and their conversion to ground areas, using locally fitted surfaces (LoFS) to identify formations Points on low surface rate surfaces, surface fitting to LiDAR data, the points that form the same surface are close enough to be regarded as points belonging to the same attribute, when dealing with large data sets, by fitting a set of surfaces to a given The neighborhood is estimated by using

and />

Indicates that the fitting window and connection window are converted to p, and define the range of F and L, and fit by minimizing the square difference, when p />

and />

is related to />

Step 6: Export and adjustment of the model: The data obtained by the measurement method used in the first step is used for modeling through the overall modeling module, and the model is imported into the golf simulation software through the model export module, and the model is adjusted through the model adjustment module. The position of the model in the golf simulation software is adjusted to ensure that the actual landing point after the user hits the ball is consistent with the landing point in the software.

Preferably, g[p*]=UNDEF in the second step, the threshold function in the fourth step is set by the size of the feature mapped by g'.

的点，所述步骤二中E由L的边界决定。Preferably, the closest point in the second step is

point, E in the second step is determined by the boundary of L.

(3) Beneficial effects

The invention provides a course measurement modeling system adapted to golf simulation software and a using method thereof. Compared with the prior art, it has the following beneficial effects:

(1), the adaptive golf simulation software course measurement modeling system and its use method can handle obstacles well, and the method evaluation of the ISPRS benchmark data set for ground extraction shows that compared with the existing technology, it improves Accuracy and reduce the error, adapt to the scene more, more conducive to the promotion of golf.

(2), the golf simulation software course measurement modeling system and its use method set the value of the point filter through the threshold value setting unit, so that the overall model is generated more smoothly, which can meet the needs of larger features and smaller features. The use of modeling in various situations such as features.

(3) After the golf course measurement modeling system and its usage method adapted to the golf simulation software are exported through the model export module, the position of the model in the golf simulation software can be adjusted through the model adjustment module, which can make the overall modeling system more suitable. In line with the actual situation, to bring users a better experience.

Description of drawings

Fig. 1 is the functional block diagram of the system of the present invention;

Fig. 2 is the functional block diagram of terrain modeling unit of the present invention;

Fig. 3 is a functional block diagram of the building extraction unit of the present invention.

In the figure, 1 power supply module, 2 processing unit, 3 terrain modeling unit, 4 building extraction unit, 31 digital terrain model generation module, 32 grid decomposition and feature mapping module, 33DTM generation module, 34 threshold value generation module, 35 points Filtering module, 41 three-category attribute detection module, 42 overall modeling module, 43 model export module, 44 model adjustment module.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Fig. 1-3, the embodiment of the present invention provides a kind of technical scheme: a kind of golf simulation software golf course measurement modeling system and its use method, including power supply module 1, processing unit 2, terrain modeling unit 3 and building Object extraction unit 4, the output end of processing unit 2 is connected with the input end of terrain modeling unit 3, the output end of processing unit 2 is connected with the input end of terrain modeling unit 3, the output end of terrain modeling unit 3 is connected with building The input end of the extraction unit 4 is connected, the processing unit 2, the terrain modeling unit 3 and the building extraction unit 4 are all electrically connected to the power supply module 1, and the terrain modeling unit 3 includes a digital terrain model generation module 31, grid decomposition and feature Image module 32, DTM generation module 33, threshold value generation module 34 and point filter module 35, the output end of digital terrain model generation module 31 is connected with the input end of grid decomposition and feature mapping module 32, and grid decomposition and feature mapping module The output end of 32 is connected with the input end of DTM generation module 33, the output end of DTM generation module 33 is connected with the output end of point filter module 35, the output end of threshold value generation module 34 is connected with the input end of point filter module 35, building Extraction unit 4 comprises three types of attribute detection module 41, overall modeling module 42, model derivation module 43 and model adjustment module 44, the output end of three types of attribute detection module 41 is connected with the input end of overall modeling module 42, overall modeling The output of the module 42 is connected to the input of the model derivation module 43 , and the output of the model derivation module 43 is connected to the input of the model adjustment module 44 .

The processing unit 2 is one-way connected with the terrain modeling unit 3 and the building extraction unit. The preliminary modeling is performed through the terrain modeling unit 3, and then the overall phantom is exported through the building extraction unit 4. The terrain modeling unit 3 The cooperation with the building extraction unit 4 can handle obstacles very well. The evaluation of the method implemented on the ISPRS benchmark data set for ground extraction shows that compared with the existing technology, the accuracy is improved and the error is reduced, and the adaptation scene is more , more conducive to the promotion of golf

A method for using a golf course measurement modeling system adapted to golf simulation software, the specific steps comprising:

Step 1: Topographic measurement data extraction: use a difference-based lidar to extract the data of the ground, building contours and local fitting surfaces;

Step 2: Generate a digital terrain model: build a regular grid on the laser radar (LiDAR) point cloud through the digital terrain model generation module 31, and construct a grid g on the input LiDAR point cloud L={L _i }: E→ R is used to establish the connectivity between points. The grid g: E→R occupies the space E, where p∈E is the grid point, and the construction of g is divided into the following three steps:

1. Rg defines the resolution of g, according to LiDAR data density Rg=1:0/DL;

2.g[p] is the value of g at point p, calculated from the lowest point contained in the corresponding grid unit;

式中，Pn为/>

在邻域/>

中包含不小于三个最近点的点，dp为Pn与Pn间的欧氏距离，r＝2为定义插值光滑性的幂参数；3.p* indicates that the undefined grid point g[p*] obtained when the corresponding grid unit does not contain points is estimated by inverse distance weighting, and accurate spatial interpolation is obtained by

In the formula, Pn is />

in the neighborhood />

Include not less than three nearest points, dp is the Euclidean distance between Pn and Pn, r=2 is the power parameter defining the interpolation smoothness;

Step 3: Mesh decomposition and feature mapping: use the eigenvalues contained in the map g through the mesh decomposition and feature mapping module 32 to perform multi-point mesh decomposition, and realize effective DTM generation through the DTM generation module 33;

Step 4: point filtering: set the threshold of the point filtering module 35 by the threshold generation module 34, and judge and identify the threshold and delete features less than the threshold by the point filtering module 35;

和/>

表示拟合窗口和连接窗口转换为p，并且定义F和L的范围，通过最小化平方差来拟合，在p时/>

和/>

的关系为/>

Step 5: Extraction of buildings: Segment a group of non-ground points SnG obtained in the DTM generation process into building points and non-building points, consider large-scale ground objects with planes as buildings, and consider them through the three-category attribute detection module 41 Three types of attributes to detect buildings, geometric attributes describing feature width and height, surface attributes describing surface curvature of each point, area attributes describing non-ground areas and their conversion to ground areas, using local fitting surface (LoFS) identification Points forming a surface with a low surface rate, surface fitting to LiDAR data, the points forming the same surface are close enough to be regarded as points belonging to the same attribute, when dealing with large data sets, by fitting a set of surfaces to a given The neighborhood of is estimated by using

and />

Indicates that the fitting window and connection window are converted to p, and define the range of F and L, and fit by minimizing the square difference, when p />

and />

is related to />

Step 6: Export and adjustment of the model: The data obtained by the measurement method used in the first step is modeled through the overall modeling module 42, and the model is imported into the golf simulation software through the model export module 43, and adjusted through the model. Module 44 adjusts the position of the model in the golf simulation software to ensure that the actual landing point after the user hits the ball is consistent with the landing point in the software.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (8)

1. The application method of the measurement modeling system of the adaptive golf simulation software course is characterized by comprising the following steps of: the method comprises the following specific steps:

step one: and (3) topographic survey data extraction: extracting data of the ground, the building morphological outline and the local fitting surface by using a laser radar based on difference;

step two: generating a digital terrain model: building a regular grid on a LiDAR (LiDAR) point cloud by a digital terrain model generation module (31), by inputting LiDAR point cloud L= { L _i Constructing a grid g: E→R to establish connectivity between points, the grid g: E-R occupies space E, where p E is the lattice pointThe construction of g is divided into the following three steps:

rg defines the resolution of g, according to LiDAR data density Rg=1:0/DL;

g [ p ] is the value of g at the p-point, calculated from the lowest point contained by the corresponding grid cell;

3.p denotes an undefined grid point g [ p ] obtained when no point is included in the corresponding grid cell]Estimated by inverse distance weighting, accurate spatial interpolation is performed by

Wherein Pn is->

In the neighborhood->

Wherein dp is the Euclidean distance between Pn and Pn, and r=2 is a power parameter defining interpolation smoothness;

step three: grid decomposition and feature mapping: performing multi-point grid decomposition with feature values contained in the map g by a grid decomposition and feature mapping module (32), and implementing effective DTM generation by a DTM generation module (33);

step four: and (3) point filtration: a threshold value of the set point filtering module (35) is generated by the threshold value generating module (34), and the characteristics smaller than the threshold value are judged, identified and deleted by the point filtering module (35);

step five: extraction of buildings: dividing a group of non-ground points SnG obtained in the DTM generation process into building points and non-building points, regarding a large ground object with a plane as a building, detecting the building by taking three types of attributes into consideration by a three-type attribute detection module (41), describing geometric attributes of feature widths and heights, describing surface attributes of surface curvatures of each point, describing regional attributes of non-ground regions and conversion thereof into ground regions, identifying points forming a low-camber curved surface by using a local fitting curved surface (LoFS), performing surface fitting on LiDAR data, and viewing the points forming the same surface with sufficiently close distanceFor points belonging to the same attribute, a large dataset is processed by fitting a set of curved surfaces to a given neighborhood for evaluation by using

And->

Representing the fit window and the connection window transformed to p, and defining the range of F and L, fitting by minimizing the square difference, at p +.>

And->

The relation of->

Step six: model derivation and adjustment: the data obtained by the measuring method used in the first step is modeled by an integral modeling module (42), the model is imported into golf simulation software by a model export module (43), and the position of the model in the golf simulation software is adjusted by a model adjustment module (44), so that the real falling point of the user after hitting the ball is ensured to be consistent with the falling point in the software.

2. A method of using an adaptive golf simulation software course measurement modeling system according to claim 1, wherein: gp=undef in step two, and the threshold function in step four is set by the size of the feature mapped by g'.

3. A method of using an adaptive golf simulation software course measurement modeling system according to claim 1, wherein: the nearest point in the second step is

In the second step, E is determined by the boundary of L.

4. A system for adapting a golf simulation software course measurement modeling usage method according to claim 1, comprising a power supply module (1), a processing unit (2), a terrain modeling unit (3) and a building extraction unit (4), characterized in that: the output end of the processing unit (2) is connected with the input end of the terrain modeling unit (3), the output end of the terrain modeling unit (3) is connected with the input end of the building extraction unit (4), and the processing unit (2), the terrain modeling unit (3) and the building extraction unit (4) are electrically connected with the power module (1).

5. An adaptive golf simulation software court measurement modeling system according to claim 4, wherein: the terrain modeling unit (3) comprises a digital terrain model generation module (31), a grid decomposition and feature mapping module (32), a DTM generation module (33), a threshold generation module (34) and a point filtering module (35).

6. An adaptive golf simulation software court measurement modeling system according to claim 5, wherein: the output end of the digital terrain model generation module (31) is connected with the input end of the grid decomposition and feature mapping module (32), the output end of the grid decomposition and feature mapping module (32) is connected with the input end of the DTM generation module (33), the output end of the DTM generation module (33) is connected with the output end of the point filtering module (35), and the output end of the threshold generation module (34) is connected with the input end of the point filtering module (35).

7. An adaptive golf simulation software court measurement modeling system according to claim 6, wherein: the building extraction unit (4) comprises three types of attribute detection modules (41), an overall modeling module (42), a model derivation module (43) and a model adjustment module (44).

8. An adaptive golf simulation software court measurement modeling system according to claim 7, wherein: the output end of the three types of attribute detection modules (41) is connected with the input end of the integral modeling module (42), the output end of the integral modeling module (42) is connected with the input end of the model export module (43), and the output end of the model export module (43) is connected with the input end of the model adjustment module (44).

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