CN110705096B - Measuring and modeling system adapting to golf simulation software course and application method thereof - Google Patents

Measuring and modeling system adapting to golf simulation software course and application method thereof Download PDF

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CN110705096B
CN110705096B CN201910937817.4A CN201910937817A CN110705096B CN 110705096 B CN110705096 B CN 110705096B CN 201910937817 A CN201910937817 A CN 201910937817A CN 110705096 B CN110705096 B CN 110705096B
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徐晨旸
王琰
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Nanjing Fengheng Jiale Electronic Technology Co ltd
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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports
    • A63B69/36—Training appliances or apparatus for special sports for golf
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract

The invention discloses a measuring and modeling system for an adaptive golf simulation software court and a using method thereof, and the measuring and modeling system comprises a power module, a processing unit, a terrain modeling unit and a building extraction unit, wherein the output end of the processing unit is connected with the input end of the terrain modeling unit, the output end of the terrain modeling unit is connected with the input end of the building extraction unit, and the processing unit, the terrain modeling unit and the building extraction unit are electrically connected with the power module. The adaptive golf simulation software course measurement modeling system and the application method thereof can well process obstacles, and the method for realizing the ISPRS reference data set extracted from the ground evaluates and displays.

Description

Measuring and modeling system adapting to golf simulation software course and application method thereof
Technical Field
The invention relates to the technical field of golf simulation exercise software, in particular to a measuring and modeling system suitable for a golf simulation software course and a using method thereof.
Background
Golf, commonly known as a small white ball, is an outdoor sport, in which individuals or team players play a small ball with different golf clubs into holes in green, most games have 18 holes, the number of shafts is the smallest as winner, the most basic principle of playing golf is to continuously hit a ball from a table until it enters the holes, in short, starting with the first shaft, then hitting the ball repeatedly with the second and third shafts, and putting the ball into the holes, otherwise, no other way is possible, if the ball is held for movement, or the methods of throwing, rolling the ground, etc. are all violated.
The existing golf simulation practice software has two kinds of field models, namely a fixed field model used in software development and a well-known golf course model, and most of the scenes are paid for use, such as CreativeGolf3D.
The use sense of substitution of the software users is poor, immersive experience cannot be achieved, the users can only learn the batting data from the data fed back by the simulator, and the batting data cannot be compared with the drop points, radians and the like of the field scene, so that the users cannot feel the batting level of the users intuitively.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides the measuring and modeling system for the adaptive golf simulation software court and the using method thereof, which can well treat obstacles, are used for evaluating and displaying the method for realizing the ISPRS reference data set extracted from the ground, and compared with the prior art, the accuracy is improved, the error is reduced, the adaptive scene is more, and the popularization of golf is more facilitated.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides an adaptation golf simulation software court measures modeling system and application method thereof, includes power module, processing unit, topography modeling unit and building extraction unit, processing unit's output is connected with topography modeling unit's input, topography modeling unit's output is connected with building extraction unit's input, processing unit, topography modeling unit and building extraction unit all are connected with power module electricity.
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 generation module, and a point filtering module.
Preferably, the output end of the digital terrain model generating module is connected with the input end of the grid decomposing and feature mapping module, the output end of the grid decomposing and feature mapping module is connected with the input end of the DTM generating module, the output end of the DTM generating module is connected with the output end of the point filtering module, and the output end of the threshold generating module is connected with the input end of the point filtering module.
Preferably, the building extraction unit comprises three types of attribute detection modules, an integral modeling module, a model export module and a model adjustment module.
Preferably, the output ends of the three attribute detection modules are connected with the input end of the integral modeling module, the output end of the integral modeling module is connected with the input end of the model export module, and the output end of the model export module is connected with the input end of the model adjustment module.
The application method of the adaptive golf simulation software course measurement modeling system 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 laser radar (LiDAR) point cloud by a digital terrain model generation module 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, wherein p E is a lattice point, and the construction of g comprises 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 point p;
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
Figure BDA0002222056550000031
Wherein Pn is->
Figure BDA0002222056550000032
In the neighborhood->
Figure BDA0002222056550000033
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 map g by a grid decomposition and feature mapping module, and implementing efficient DTM generation by a DTM generation module;
step four: and (3) point filtration: the threshold value generation module is used for setting the threshold value of the filtering module, and the point filtering module is used for judging, identifying and deleting the characteristics smaller than the threshold value;
step five: extraction of buildings: dividing a set of non-ground points SnG obtained in the DTM generation process into building points and non-building points, considering a large ground object with a plane as a building, detecting the building by three types of attribute detection modules considering three types of attributes, describing geometric attributes of feature widths and heights, describing surface attributes of surface curvatures of each point, describing regional attributes of non-ground areas and conversion thereof into ground areas, identifying points forming a low-surface-rate curved surface using a local fitting surface (LoFS), performing surface fitting on LiDAR data, regarding points forming the same surface as points belonging to the same attribute that are sufficiently close to each other, evaluating when processing a large data set by fitting a set of curved surfaces to a given neighborhood, evaluating by using a local fitting surface (LoFS)
Figure BDA0002222056550000034
And->
Figure BDA0002222056550000035
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 +.>
Figure BDA0002222056550000036
And->
Figure BDA0002222056550000037
The relation of->
Figure BDA0002222056550000038
Step six: model derivation and adjustment: the data obtained by the measuring method used in the first step are modeled by the integral modeling module, the model is imported into the golf simulation software by the model export module, the position of the model in the golf simulation software is adjusted by the model adjustment module, and the fact that the actual falling point is consistent with the falling point in the software after the user hits the golf is ensured.
Preferably, g [ p ] =undef in the second step, and the threshold function in the fourth step is set by the size of the feature mapped by g'.
Preferably, the closest point in the second step is
Figure BDA0002222056550000041
In the second step, E is determined by the boundary of L.
(III) beneficial effects
The invention provides a measuring and modeling system for a golf simulation software course and a using method thereof. Compared with the prior art, the method has the following beneficial effects:
(1) The adaptive golf simulation software course measurement modeling system and the application method thereof can well process obstacles, and the method for realizing the ISPRS reference data set extracted from the ground evaluates and displays.
(2) The adaptive golf simulation software course measurement modeling system and the application method thereof set the point filtering value through the threshold setting unit, so that the overall model is smoother to generate, and the modeling system can be used for modeling under various conditions such as larger characteristics, smaller characteristics and the like.
(3) After the adaptive golf simulation software course measurement modeling system and the application method thereof are exported by the model export module, the position of the model in the golf simulation software is adjusted by the model adjustment module, so that the whole modeling system is more fit with the actual situation, and better use experience is brought to users.
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FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a schematic block diagram of a terrain modeling unit of the present invention;
fig. 3 is a schematic block diagram of a building extraction unit of the present invention.
In the figure, a power supply module 1, a processing unit 2, a terrain modeling unit 3, a building extraction unit 4, 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, a point filtering module 35, a three-type attribute detection module 41, a whole modeling module 42, a model derivation module 43 and a model adjustment module 44.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, the embodiment of the invention provides a technical scheme: an adaptive golf simulation software course measurement modeling system and a using method thereof, comprises a power module 1, a processing unit 2, a terrain modeling unit 3 and a building extraction unit 4, wherein 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, the processing unit 2, the terrain modeling unit 3 and the building extraction unit 4 are electrically connected with the power module 1, 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, 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, the output end of the threshold generation module 34 is connected with the input end of the point filtering module 35, the building extraction unit 4 comprises three-class detection modules 41, the three-class detection modules 42, the three-class detection modules 43 are integrally connected with the input end of the output module 43, and the output module 43 is integrally connected with the output module 42.
The processing unit 2 is connected with the terrain modeling unit 3 and the building extraction unit in one way, the terrain modeling unit 3 is used for preliminary modeling, the integral model body of the building extraction unit 4 is derived, the obstacle can be well processed through the cooperation of the terrain modeling unit 3 and the building extraction unit 4, and the evaluation and display of the method for realizing the ISPRS reference data set for ground extraction are improved in accuracy, reduced in error and more in adaptation scene compared with the prior art, and are more beneficial to popularization of golf sports
The application method of the adaptive golf simulation software course measurement modeling system 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 laser radar (LiDAR) point cloud by a digital terrain model generation module 31 by inputting a 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, wherein p E is a lattice point, and the construction of g comprises 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
Figure BDA0002222056550000061
Wherein Pn is->
Figure BDA0002222056550000062
In the neighborhood->
Figure BDA0002222056550000063
Comprises points not less than three closest points, dp is Euclidean distance between Pn and Pn, and r=2 isDefining a power parameter of interpolation smoothness;
step three: grid decomposition and feature mapping: performing multi-point grid decomposition with feature values contained in map g by grid decomposition and feature mapping module 32 and enabling efficient DTM generation by DTM generation module 33;
step four: and (3) point filtration: the threshold value of the filtering module 35 is set 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 set of non-ground points SnG obtained in the DTM generation process into building points and non-building points, considering a large ground object with a plane as a building, detecting the building by three types of attribute detection modules 41 taking into account three types of attributes, describing geometric attributes of feature widths and heights, describing surface attributes of surface curvatures of each point, describing regional attributes of non-ground areas and their conversion to ground areas, identifying points forming a low-surface-rate curved surface using a local fitting surface (LoFS), performing surface fitting on LiDAR data, regarding points forming the same surface as points belonging to the same attribute that are sufficiently close to each other, evaluating when processing a large data set by fitting a set of curved surfaces to a given neighborhood, evaluating by using a local fitting surface (LoFS)
Figure BDA0002222056550000071
And->
Figure BDA0002222056550000072
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 +.>
Figure BDA0002222056550000073
And->
Figure BDA0002222056550000074
The relation of->
Figure BDA0002222056550000075
Step six: model derivation and adjustment: the data obtained by the measurement method used in the first step is modeled by the integral modeling module 42, the model is imported into the golf simulation software by the model export module 43, and the position of the model in the golf simulation software is adjusted by the model adjustment module 44, so that the real falling point of the user after hitting the ball is consistent with the falling point in the software.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in 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
Figure FDA0004167234600000011
Wherein Pn is->
Figure FDA0004167234600000012
In the neighborhood->
Figure FDA0004167234600000013
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
Figure FDA0004167234600000021
And->
Figure FDA0004167234600000022
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 +.>
Figure FDA0004167234600000023
And->
Figure FDA0004167234600000024
The relation of->
Figure FDA0004167234600000025
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
Figure FDA0004167234600000026
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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