CN102306106A - Method and system for automatically generating navigation chart in virtual space, and pathfinding method and system - Google Patents
Method and system for automatically generating navigation chart in virtual space, and pathfinding method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for automatically generating a navigation chart in a virtual space, and an automatic pathfinding method and an automatic pathfinding system in the virtual space. The automatic pathfinding method in the virtual space comprises the following steps of: marking the attribute of an object model while establishing the object model of the virtual space; automatically generating the navigation chart by using the marked attribute information; and determining a pathfinding function by using the information, and automatically pathfinding on the generated navigation chart. Therefore, the attribute of the object model is marked simultaneously in the scene modeling process, and a computer automatically generates the navigation chart according to the marked attribute, so that manual workload is greatly reduced, and the reliability of the pathfinding system is improved.
Description
Technical field
The present invention relates to automatic pathfinding technology, particularly relate to a kind of Virtual Space navigation picture and generate method and system and method for searching and system automatically.
Background technology
In virtual scene, the problem of seeking an optimal path (pathfinding) for the role between from the starting point to the impact point is the basic problem in fields such as development of games, virtual reality system, robot research, GIS-Geographic Information System.Method for searching in RTS recreation and the action game, general earlier according to navigation picture of landform generation, it is actually an abstract graph structure, searches on this figure with searching algorithm then and obtains the path.In the game client software that the intelligence of persona is had relatively high expectations; Adopting more method at present is to place the road point by hand by the level designer; Then by the stop information of computing machine according to these road points and scene; Automatically generate the network that connects these road points, on this network, adopt searching algorithm to search out a paths at last.
Therefore, the pathfinding key of problem is to generate this navigation picture, and this figure has been arranged, and can adopt the classic algorithm in the artificial intelligence, like A
*Algorithm, dijkstra's algorithm search should be schemed, thereby searched out a paths, and the key of navigation map generalization is the setting of road point.
Virtual scene is to be made up of landform and space object model, is manually put in the scheme of road point by the level designer in the past, puts this step of road point in landform and can come to have accomplished automatically by computing machine.Specifically; As long as the factor of an expression of control road point density, these road points can be distributed on the landform by computing machine fully uniformly, because the scene of pure landform is very simple; Method with two dimension (2D) grid chart just can be handled; Promptly be divided into two-dimensional grid to landform,, place a road point in each grid element center and get final product like cubic grid or six side's grids.And be provided with for the road point of space object, computing machine just is difficult to generate automatically, and this is because the attribute of space object is three-dimensional; For example stair, bridge, buildings etc.; It is difficult to handle with the method for grid, thereby the method that adopts at present remains artificial method of placing road point.
Yet there is certain defective in this artificial method of placing road point, huge and complicated situation especially for scene, and the very difficult generation navigation picture promptly and accurately of artificial method of placing, and be easy to make mistakes.
For this reason, splendid day by day along with scene of game, complexity increases, and how to utilize computing machine to generate the road point automatically at three-dimensional virtual scene, has become the major issue that industry needs to be resolved hurrily.
Summary of the invention
In view of this, the present invention provides a kind of automatic method for searching and system and navigation picture thereof to generate method and system automatically, and navigation picture generates difficult problem automatically in the existing three-dimensional virtual scene to solve.
For solving above technical matters, the present invention provides a kind of Virtual Space navigation picture to generate method automatically, comprising: when setting up the object model of Virtual Space, and the attribute of this object model of mark; Read the attribute information of institute's mark, and utilize this attribute information to generate navigation picture automatically.
Further, the attribute of said object model comprises geometric attribute and physical attribute.
Further, the step of said automatic generation navigation picture comprises the generation on navigation picture summit and the generation step on navigation picture limit.
Further, the navigation picture summit comprises basic summit and sampling summit, and directly read from the attribute information of institute's mark on basic summit, and the sampling summit is through the acquisition of between per two visible basic summits, sampling.
Further, said sampling summit is through acquisitions that the mid point on per two visible basic summits is sampled.
Further, the generation step on said navigation picture limit utilizes TIN to generate the limit of navigation picture according to the navigation picture summit that generates before.
The present invention provides a kind of Virtual Space navigation picture automatic creation system in addition, and it comprises: memory storage is stored with the object model attribute flags file of Virtual Space; The navigation picture generating apparatus, the object model attribute flags file in the read storage device, and generate navigation picture automatically according to this document.
Further, the geometric attribute and the physical attribute that comprise object model in the said object model attribute flags file.
Further, said navigation picture generating apparatus comprises summit generation unit and limit generation unit.
Further, said summit generation unit comprises: vertex set is stored with the basic summit of from object model attribute flags file, reading; Sampling unit between per two visible basic summits, samples and obtain the sampling summit, and the summit of will sampling is added into vertex set.
Further, said sampling summit is the mid point between corresponding two visible basic summits.
Further, said limit generation unit reads the summit in the vertex set, utilizes TIN to generate the limit of navigation picture.
The present invention also provides a kind of Virtual Space automatic method for searching, comprising: when setting up the object model of Virtual Space, and the attribute of this object model of mark; Read the attribute information of institute's mark, and utilize this attribute information to generate navigation picture automatically; According to the attribute information of institute's mark, confirm the pathfinding function, pathfinding automatically on the navigation picture that is generated.
Further, the attribute of said object model comprises geometric attribute and physical attribute.
Further, the step of said automatic generation navigation picture comprises the generation on navigation picture summit and the generation step on navigation picture limit.
Further, the navigation picture summit comprises basic summit and sampling summit, and directly read from the attribute information of institute's mark on basic summit, and the sampling summit is through the acquisition of between per two visible basic summits, sampling.
Further, said sampling summit is through acquisitions that the mid point on per two visible basic summits is sampled.
Further, the generation step on said navigation picture limit utilizes TIN to generate the limit of navigation picture according to the navigation picture summit that generates before.
The present invention provides a kind of Virtual Space automatic Pathfinding system in addition, comprising: memory storage is stored with the object model attribute flags file of Virtual Space; The navigation picture generating apparatus, the object model attribute flags file in the read storage device, and generate navigation picture automatically according to this document; Path-seeking device according to the attribute information of institute's mark, is confirmed the pathfinding function, pathfinding automatically on the navigation picture that is generated.
Further, the geometric attribute and the physical attribute that comprise object model in the said object model attribute flags file.
Further, said navigation picture generating apparatus comprises summit generation unit and limit generation unit.
Further, said summit generation unit comprises: vertex set is stored with the basic summit of from object model attribute flags file, reading; Sampling unit between per two visible basic summits, samples and obtain the sampling summit, and the summit of will sampling is added into vertex set.
Further, said sampling summit is the mid point between corresponding two visible basic summits.
Further, said limit generation unit reads the summit in the vertex set, utilizes TIN to generate the limit of navigation picture.
In sum; The present invention introduces the notion of model mark, and the object in the Virtual Space is done suitable mark, and formal description is got off; Computing machine can generate the road point automatically according to mark like this; Thereby it is like this to generate navigation picture, has significantly reduced the manual work amount, has improved the reliability of Pathfinding system.
Description of drawings
Fig. 1 generates the schematic flow sheet of method automatically for the Virtual Space navigation picture that one embodiment of the invention provided;
Fig. 2 is the schematic flow sheet of the automatic method for searching in Virtual Space that one embodiment of the invention provided;
Fig. 3 is the classification and the hierarchical relationship thereof of Virtual Space entity in the present invention's one instantiation;
Fig. 4 forms the leg-of-mutton process synoptic diagram of new Delaunay for Application of B owyer-Watson algorithm in one embodiment of the invention;
Fig. 5 is the structural representation of the Virtual Space navigation picture automatic creation system that one embodiment of the invention provided;
Fig. 6 is the structural representation of the automatic Pathfinding system in Virtual Space that one embodiment of the invention provided.
Embodiment
For letting the above-mentioned feature and advantage of the present invention can be more obviously understandable, hereinafter is special lifts exemplary embodiment, and conjunction with figs., elaborates as follows.
In the existing three-dimensional virtual scene, the navigation map generalization often relies on manual placement road point, and this mode is difficult to generation navigation picture promptly and accurately, and is easy to make mistakes for the huge and complicated three dimensions of scene.
Consider the importance of navigation picture and the difficulty of structure; The present invention introduces the notion of model mark, and the object in the Virtual Space is done suitable mark, and formal description is got off; Computing machine can generate the road point automatically according to mark like this; Thereby it is like this to generate navigation picture, has significantly reduced the manual work amount, has improved the reliability of Pathfinding system.Specifically, the present invention as the model inalienable part, just takes in the road point relevant with model, plans and make when modeling.The information of road point need not to show, and just a mark can let the information of program acquisition road point get final product; 3 d modeling software such as 3DMax support some extra information of user definition mostly at present; Utilize these instruments, can in the creation model, just add pathfinding information as a fundamental these information of program inquiring fully; Automatically generate the structure the same with landform road point, so all road points just can Unified Treatment.These road points have been arranged, just can generate navigation picture automatically by computing machine, and according to stopping that information carried out pathfinding.
Specifically, as shown in Figure 1, the invention provides the Virtual Space navigation picture and generate method automatically, comprising: step S110: when setting up the object model of Virtual Space, the attribute of this object model of mark; Step S120: then when needs generate navigation picture, just can read the attribute information of institute's mark, and utilize this attribute information to generate navigation picture automatically.Simultaneously, like Fig. 2, the present invention also provides the corresponding virtual space automatic method for searching; It is when setting up the object model of Virtual Space; The attribute of this object model of mark (step S210 :), the mark of attribute have promptly been considered the needs of role's each side when pathfinding, have plenty of the automatic generation for navigation picture; Have plenty of in order to confirm pathfinding algorithm (for example, A
*Algorithm) heuristic function in.Like this, computing machine can directly read the attribute information of institute's mark, and utilizes this attribute information to generate navigation picture (step S220 :) automatically; According to the attribute information of institute's mark, confirm the pathfinding function, pathfinding (step S230 :) automatically on the navigation picture that is generated.
Provide the working mechanism of this method below through embodiment in detail, need those contents of mark, how to classify etc. like model.
1. the mark of object model attribute
Be a kind of classification in the Virtual Space, for example comprise which entity in the scene the represented space of three-dimensional scenic? What attribute does these entities have? Be how mutual between the entity?
Specifically, the Virtual Space entity comprises:
1) class: the various different entities in the expression scene, like buildings, road, bridge, barrier, trees, river, weather, sound, light etc.;
2) attribute: come detailed description entity with attribute, except geometric attributes such as the length of describing entity, width, physical attribute that the Virtual Space entity is more stressed such as visibility, current width, current level, hidden level, masking level etc.;
3) relation: describe the interactivity between entity and other entities, for example can smolder behind the bullet hits wall etc.Fig. 3 has provided the classification and the hierarchical relationship thereof of Virtual Space entity.
In many entities, one relevant with pathfinding is space object, its corresponding model road point, and another is the ground shaped object, its corresponding landform road point can generate automatically.
Space object needs its pathfinding attribute of mark; Comprise geometric attribute and physical attribute, directly visit, below enumerate out the attribute that some need be considered for program; It need give mark when setting up model, so that subsequent navigation figure sets up and use during pathfinding:
● the border of scene: form by crucial summit, a series of scenes border, in order to confirm the border of scene.
● central point: the center point coordinate of object in the scene;
● key point: the coordinate of confirming some main summits that object can reach;
● outside bounding box: the crucial summit by a series of objects are outside is formed, in order to confirm the exterior contour of object;
● the gateway outer point: the object of inner P Passable, there is the gateway to communicate with the external world, the gateway outer point marks the outside coordinate of inlet;
● inboard summit, gateway: inboard summit, gateway marks the inboard coordinate of inlet;
● current width: for road, bridge, gateway etc., current width is a constraint condition, can limit variety classes role's current path, for example personage leading role can be different with the path of vehicle or saddle horse;
● current level: the cost that the role is current above that, the cost of the descending that for example goes up a slope is different;
● hidden level: the hidden degree of object persona, for example the trench can provide different hidden levels with trees;
● masking level: the degree of protection that object provided when the role was attacked, for example stone provides different masking levels with trees;
● current load: object is to the role's that passes through above that load-bearing capacity;
● the firepower radius: firing point such as machine-gun turret, pillbox etc. need effective firing area of mark firepower;
● intensity of fire: the intensity that the firepower of firing point kills and wounds.
Table 1 has provided the instance of the attribute of some object model institute marks, as follows:
Table 1
From table, can find out that the attribute of the object model of institute's mark comprises geometric attribute and physical attribute, its mark is to consider the needs of role's each side when pathfinding and definite.For example, have plenty of automatic generation, have plenty of in order to confirm pathfinding (for example, A for navigation picture
*Algorithm) heuristic function in.These marks have been arranged, and computing machine can directly be visited and generated navigation picture in view of the above automatically, confirms heuristic function, and navigation picture and its automatic generation are discussed below.Mainly comprise the generation on navigation picture summit and the generation step on navigation picture limit.
2. the generation on navigation picture summit
Can find out from mark,, obtain a series of marks, like the border vertices of scene, the outside bounding box summit of barrier etc. in the stage of scene modeling to object model.These summits are the bases that constitute the navigation picture summit, are called basic summit.By these basic summits, can produce remaining summit according to certain method.A kind of feasible method is that for each basic summit, every and its all the other visible summit all couple together with this summit; Between any like this two summits that link together all is P Passable; Get a little at all line up-samplings then, the simplest method is to get the mid point of line between 2, so just can produce a large amount of summits; These summits all on landform, below are referred to as the summit of sampling.
It should be noted that; Here visible being meant of saying do not have object to intercept between two summits; Can arrive the another one summit from a summit; Do not have observability between summit in all inboard navigation pictures of the gateway that a special situation is arranged is space object and the summit in the navigation picture of the outside, the gateway outer point that marks can only be seen in the summit in the scene of the outside, and is visible between the inboard summit in gateway outer point and gateway.
Can draw by top discussion,, just can obtain all the other a large amount of summits, improve this sampling rate, just can obtain more summit, the navigation picture of the corresponding different resolution of promptly different sampling rates as long as between two visible summits, sample.Represent terrain information if desired in more detail, only need to improve sampling rate.So, just can be organized into a multi-level navigation picture to scene, for example outdoor spacious landform can be used different resolution with indoor complex-terrain.
The generation on navigation picture limit
This step is main according to the navigation picture summit that generates before, utilizes TIN to generate the limit of navigation picture.
Specifically, (Triangulated Irregular Network's TIN TIN) has a wide range of applications at numerous areas such as computer graphics, virtual realities.
The Delaunay triangulation network promptly is a kind of TIN, and it has two very important character:
Empty circumscribed circle character---in the formed Delaunay triangulation network of point set V, its each leg-of-mutton circumscribed circle does not all comprise other arbitrfary point among the point set V;
Maximum smallest angles character---in by the formed triangulation network of point set V, the leg-of-mutton smallest angles maximum [49] in the Delaunay triangulation network.
Because this two attributes, the Delaunay triangulation network is considered to unique, best triangulation network subdivision scheme in the two dimensional surface triangulation network.Therefore, after the summit that has generated all navigation pictures, can produce the limit of navigation picture, remove the limit of intersecting then, just can generate whole navigation picture with barrier by the method for Delaunay triangulation.
The Bowyer-Watson algorithm is the method that realizes that the Delaunay triangulation is the most commonly used.It is based on the characteristic that does not have other any nodes in the Delaunay triangle circumscribed circle, adopts the way of node insertion one by one.The Bowyer-Watson algorithm has recursive nature, is fit to very much the automatic generation of grid.
Being described below of Bowyer-Watson algorithm: at first construct an initial delta T, T comprises all summits of initial point set.To put all concentrated nodes then successively is inserted in the initial delta one by one.During new node of each adding, judge which leg-of-mutton circumscribed circle it is positioned within, then these three sides of a triangle is recorded in the limit formation,, then in the formation of limit, delete this limit if certain bar limit occurs twice in the formation of limit.After all triangles were all checked, the limit in the formation of limit must form a polygon, and initiate node must be positioned at polygon.New node connects polygonal each summit and forms a series of new triangles, and the Delaunay triangulation behind the new node is inserted in formation.For example, Fig. 4 has provided instance that Application of B owyer-Watson algorithm forms the leg-of-mutton process of new Delaunay: as shown in the figure, in polygon, insert new node P; It is positioned within the circumscribed circle of triangle ABE and BEC, then triangle ABE and three limits of BEC is recorded in the limit formation; Because the BE limit has occurred twice, then deletes this limit BE; Then connect new node P and summit A to F, form a series of new triangles, thereby form the Delaunay triangulation behind the insertion new node P.
The generation method on the summit and the limit of navigation picture has been discussed in the above; It can be according to above method coding code storage in memory storage in practical application; When needs were set up the navigation picture pathfinding, the calling program code was accomplished the foundation and the pathfinding of navigation picture automatically.Below just to provide an instance of the specific algorithm that navigation picture generates, so that those skilled in the art better understand the present invention.
4. the algorithm that generates of navigation picture
The present invention needs simultaneously object model to be carried out mark in scene modeling.In practical operation, these label records are got off, be stored in the file, then this tab file and model file have been described a scene jointly.Come abstract this tab file of representing with Graph in the algorithm below, what it was corresponding is exactly the mark that the object model in the Virtual Space is done.In the process of mark, can obtain the crucial summit in a series of scenes, when generating navigation picture; Need read in these initial crucial summits; Claim that these are basic summit from the summit that Graph obtains, can generate all the other summits in the scene automatically according to these basic summits, variable node_set is a vertex set; The summit of all the role Ke Da in the scene has been stored in this set, and the generation on the limit of navigation picture is fully according to this set.Variable triangle_list is a tabulation, the triangle that record Delaunay subdivision obtains.Variable edge_list is a tabulation, the limit of the navigation picture that record generates.
1) algorithm of navigation picture generation:
This algorithm invokes GenerateNode and GenerateEdge algorithm generate the summit and the limit of navigation picture successively, have had summit and limit navigation picture also just to generate.
2) algorithm of navigation picture summit generation:
This algorithm detects all basic summits successively; Whenever read a basic summit; It is stored among the set n ode_set, and also joins the mid point on all visible in twos basic summits among the set n ode_set, thereby formed the summit of all role Ke Da in the scene.
The false code of algorithm is described below:
3) algorithm of navigation picture limit generation:
This algorithm is implemented the Delaunay triangulation according to the Bowyer-Watson algorithm to all the summit node_set in the navigation picture, forms the limit in the navigation picture.The false code of algorithm is described below:
5. pathfinding automatically
After generating navigation picture, just can adopt the classic algorithm in the artificial intelligence, like A
*Algorithm, dijkstra's algorithm are directly planned in the enterprising walking along the street of navigation picture.For example, the summit in the navigation picture is just as A
*An expanding node of algorithm search is expanded according to the limit in the navigation picture during search.
In addition; The sampling rate on summit can be adjusted as required because the present invention samples, thereby in the process of search, the resolution that can dynamically adjust navigation picture according to the scene and the object of Virtual Space; For example can use the low navigation picture of resolution at outdoor large-scale path planning; Improving search efficiency, indoor among a small circle in the high navigation picture of use resolution, produce more accurate path.
Corresponding above method, the present invention also provides Virtual Space navigation picture automatic creation system, and like Fig. 5, it comprises memory storage 510 and navigation picture generating apparatus 520, and wherein the memory storage internal memory contains the object model attribute flags file of Virtual Space; Object model attribute flags file in navigation picture generating apparatus 520 read storage devices 510, and generate navigation picture automatically according to this document.
Same, comprise the geometric attribute and the physical attribute of object model in the above object model attribute flags file.
Further, navigation picture generating apparatus 520 comprises summit generation unit 521 and limit generation unit 522.Wherein, summit generation unit 521 comprises vertex set and sampling unit: the vertex set internal memory contains the basic summit of from object model attribute flags file, reading; Sampling unit is sampled between per two visible basic summits and is obtained the sampling summit, and the summit of will sampling is added into vertex set.Limit generation unit 522 reads the summit in the vertex set, utilizes TIN to generate the limit of navigation picture.
As stated, the sampling summit can be the mid point between two of the correspondence visible basic summits.Certainly, along with the raising of sampling rate, refinement can be continued in this sampling summit, for example continues the mid point between sampling mid point and original two the basic summits, so just can further obtain two sampling summits.The present invention at this not as limit.
As shown in Figure 6, in the navigation picture automatic creation system of above Virtual Space, increase path-seeking device 610, just can constitute automatic Pathfinding system, with attribute information, confirm the pathfinding function, pathfinding automatically on the navigation picture that is generated according to institute's mark.
It is thus clear that, the present invention in the process of scene modeling with tense marker the attribute of object model, then come to generate automatically navigation picture according to the attribute of institute's mark by computing machine, significantly reduced the manual work amount, improved the reliability of Pathfinding system.
More than show and described ultimate principle of the present invention, principal character and advantage of the present invention.Those skilled in the art should understand; The present invention is not restricted to the described embodiments; What describe in the foregoing description and the instructions is principle of the present invention; The present invention also has various changes and modifications under the prerequisite that does not break away from spirit and scope of the invention, and these variations and improvement all fall in the scope of the present invention that requires protection.The protection domain that the present invention requires is defined by appending claims and equivalent thereof.
Claims (24)
1. a Virtual Space navigation picture generates method automatically, it is characterized in that, comprising:
When setting up the object model of Virtual Space, the attribute of this object model of mark;
Read the attribute information of institute's mark, and utilize this attribute information to generate navigation picture automatically.
2. navigation picture according to claim 1 generates method automatically, it is characterized in that, the attribute of said object model comprises geometric attribute and physical attribute.
3. navigation picture according to claim 1 generates method automatically, it is characterized in that, the step of said automatic generation navigation picture comprises the generation on navigation picture summit and the generation step on navigation picture limit.
4. navigation picture according to claim 3 generates method automatically; It is characterized in that; The navigation picture summit comprises basic summit and sampling summit, and directly read from the attribute information of institute's mark on basic summit, and the sampling summit is through the acquisition of between per two visible basic summits, sampling.
5. navigation picture according to claim 4 generates method automatically, it is characterized in that, said sampling summit is through acquisition that the mid point on per two visible basic summits is sampled.
6. navigation picture according to claim 4 generates method automatically, it is characterized in that, the generation step on said navigation picture limit utilizes TIN to generate the limit of navigation picture according to the navigation picture summit that generates before.
7. a Virtual Space navigation picture automatic creation system is characterized in that, comprising:
Memory storage is stored with the object model attribute flags file of Virtual Space;
The navigation picture generating apparatus, the object model attribute flags file in the read storage device, and generate navigation picture automatically according to this document.
8. Virtual Space according to claim 7 navigation picture automatic creation system is characterized in that, comprises the geometric attribute and the physical attribute of object model in the said object model attribute flags file.
9. Virtual Space according to claim 7 navigation picture automatic creation system is characterized in that said navigation picture generating apparatus comprises summit generation unit and limit generation unit.
10. Virtual Space according to claim 9 navigation picture automatic creation system is characterized in that, said summit generation unit comprises:
Vertex set is stored with the basic summit of from object model attribute flags file, reading;
Sampling unit between per two visible basic summits, samples and obtain the sampling summit, and the summit of will sampling is added into vertex set.
11. Virtual Space according to claim 10 navigation picture automatic creation system is characterized in that, said sampling summit is the mid point between the visible basic summits of two of correspondence.
12. Virtual Space according to claim 10 navigation picture automatic creation system is characterized in that, said limit generation unit reads the summit in the vertex set, utilizes TIN to generate the limit of navigation picture.
13. the automatic method for searching in Virtual Space is characterized in that, comprising:
When setting up the object model of Virtual Space, the attribute of this object model of mark;
Read the attribute information of institute's mark, and utilize this attribute information to generate navigation picture automatically;
According to the attribute information of institute's mark, confirm the pathfinding function, pathfinding automatically on the navigation picture that is generated.
14. the automatic method for searching in Virtual Space according to claim 13 is characterized in that the attribute of said object model comprises geometric attribute and physical attribute.
15. the automatic method for searching in Virtual Space according to claim 13 is characterized in that, the step of said automatic generation navigation picture comprises the generation on navigation picture summit and the generation step on navigation picture limit.
16. the automatic method for searching in Virtual Space according to claim 15; It is characterized in that; The navigation picture summit comprises basic summit and sampling summit, and directly read from the attribute information of institute's mark on basic summit, and the sampling summit is through the acquisition of between per two visible basic summits, sampling.
17. the automatic method for searching in Virtual Space according to claim 16 is characterized in that, said sampling summit is through acquisition that the mid point on per two visible basic summits is sampled.
18. the automatic method for searching in Virtual Space according to claim 15 is characterized in that, the generation step on said navigation picture limit utilizes TIN to generate the limit of navigation picture according to the navigation picture summit that generates before.
19. the automatic Pathfinding system in Virtual Space is characterized in that, comprising:
Memory storage is stored with the object model attribute flags file of Virtual Space;
The navigation picture generating apparatus, the object model attribute flags file in the read storage device, and generate navigation picture automatically according to this document;
Path-seeking device according to the attribute information of institute's mark, is confirmed the pathfinding function, pathfinding automatically on the navigation picture that is generated.
20. the automatic Pathfinding system in Virtual Space according to claim 19 is characterized in that, comprises the geometric attribute and the physical attribute of object model in the said object model attribute flags file.
21. the automatic Pathfinding system in Virtual Space according to claim 19 is characterized in that, said navigation picture generating apparatus comprises summit generation unit and limit generation unit.
22. the automatic Pathfinding system in Virtual Space according to claim 21 is characterized in that, said summit generation unit comprises:
Vertex set is stored with the basic summit of from object model attribute flags file, reading;
Sampling unit between per two visible basic summits, samples and obtain the sampling summit, and the summit of will sampling is added into vertex set.
23. the automatic Pathfinding system in Virtual Space according to claim 22 is characterized in that, said sampling summit is the mid point between the visible basic summits of two of correspondence.
24. the automatic Pathfinding system in Virtual Space according to claim 21 is characterized in that, said limit generation unit reads the summit in the vertex set, utilizes TIN to generate the limit of navigation picture.
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| CN105183955A (en) * | 2015-08-21 | 2015-12-23 | 林浩嘉 | Method for planning optimal path in multistory building |
| CN105424046A (en) * | 2015-12-21 | 2016-03-23 | 福建星网锐捷网络有限公司 | Guide path determination method and device based on indoor map |
| CN106060052A (en) * | 2016-06-02 | 2016-10-26 | 深圳市豹风网络股份有限公司 | Three-dimensional navigation method for network game of mobile terminal |
| CN106075910A (en) * | 2016-06-02 | 2016-11-09 | 深圳市豹风网络股份有限公司 | The three-dimension navigation system of mobile terminal network game |
| CN107158703A (en) * | 2017-06-14 | 2017-09-15 | 浙江无端科技股份有限公司 | A kind of method and system of AI metopes pathfinding |
| CN111714890A (en) * | 2020-04-24 | 2020-09-29 | 上海完美时空软件有限公司 | Method and device for generating blocking information, storage medium and electronic device |
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| CN105183955B (en) * | 2015-08-21 | 2018-10-30 | 林浩嘉 | A kind of tier building optimum path planning method |
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| CN105424046B (en) * | 2015-12-21 | 2018-09-11 | 福建星网锐捷网络有限公司 | A kind of path of navigation based on indoor map determines method and device |
| CN106060052A (en) * | 2016-06-02 | 2016-10-26 | 深圳市豹风网络股份有限公司 | Three-dimensional navigation method for network game of mobile terminal |
| CN106075910A (en) * | 2016-06-02 | 2016-11-09 | 深圳市豹风网络股份有限公司 | The three-dimension navigation system of mobile terminal network game |
| CN107158703A (en) * | 2017-06-14 | 2017-09-15 | 浙江无端科技股份有限公司 | A kind of method and system of AI metopes pathfinding |
| CN107158703B (en) * | 2017-06-14 | 2018-12-04 | 浙江无端科技股份有限公司 | A kind of method and system of AI metope pathfinding |
| WO2021169772A1 (en) * | 2020-02-27 | 2021-09-02 | 于毅欣 | Method and system for marking scene |
| CN111714890A (en) * | 2020-04-24 | 2020-09-29 | 上海完美时空软件有限公司 | Method and device for generating blocking information, storage medium and electronic device |
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