CN112948919B - BIM model cross-floor road network extraction method based on image refinement - Google Patents
BIM model cross-floor road network extraction method based on image refinement Download PDFInfo
- Publication number
- CN112948919B CN112948919B CN202110143353.7A CN202110143353A CN112948919B CN 112948919 B CN112948919 B CN 112948919B CN 202110143353 A CN202110143353 A CN 202110143353A CN 112948919 B CN112948919 B CN 112948919B
- Authority
- CN
- China
- Prior art keywords
- cross
- dimensional
- floor
- point
- floor member
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000605 extraction Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 claims description 15
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 12
- 230000008569 process Effects 0.000 description 8
- 230000001788 irregular Effects 0.000 description 6
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000005855 radiation Effects 0.000 description 5
- 238000009877 rendering Methods 0.000 description 3
- 238000007670 refining Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000011960 computer-aided design Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005429 filling process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/04—Architectural design, interior design
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Civil Engineering (AREA)
- Architecture (AREA)
- Software Systems (AREA)
- Computer Graphics (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a BIM (building information modeling) model cross-floor road network extraction method based on image refinement, which comprises the following steps of: projecting a three-dimensional shape of a cross-floor member into a two-dimensional plane through a top view of the cross-floor member; obtaining a two-dimensional topological path in the projection drawing of the cross-floor member; and interacting the refined topological path with a cross-floor member in the BIM model to obtain a final cross-floor path. By adopting the technical scheme of the invention, the cross-floor path can be extracted from the cross-floor member in any three-dimensional shape.
Description
Technical Field
The invention belongs to the technical field of building informatization, and particularly relates to a BIM (building information modeling) model cross-floor road network extraction method based on image refinement.
Background
The indoor road network is the basis of most indoor positioning services, indoor robot intelligent operation and 3D geographic information systems. At present, most indoor road networks are manually modeled, and are tedious, prone to errors and time-consuming. Building Information Modeling (BIM) contains multidimensional computer aided design Information, and provides possibility for automatic generation of indoor road networks. The complete three-dimensional indoor road network comprises a same-floor road network and a cross-floor road network. Currently, most of indoor road network extraction methods proposed by researchers only consider the extraction of the same-floor road network, and few researchers study cross-floor road network extraction methods, but the proposed methods cannot be applied to the extraction of paths of cross-floor members with irregular geometric shapes.
The cross-floor member (such as a stair and a ramp) is communicated with two different floors, and the paths existing on the cross-floor member can connect the plane road networks of the different floors to form a complete three-dimensional indoor road network. Therefore, automatically extracting topological paths from the cross-floor members is an effective method for constructing a cross-floor road network. Some researchers have attempted to obtain a cross-floor road network by finding and connecting geometric center points on the boundaries of the two ends of a cross-floor member. This method can extract a cross-floor topological path from a cross-floor member having a regular geometry. This method cannot be applied to a cross-floor member having an irregular geometry, such as a curved staircase. To this end, automated generation of cross-floor road networks from cross-floor members with irregular geometries remains a very challenging task.
Disclosure of Invention
The invention aims to provide a BIM model cross-floor road network extraction method based on image refinement, which can extract a cross-floor path from a cross-floor member in any three-dimensional shape.
In order to achieve the purpose, the invention adopts the following technical scheme:
a BIM model cross-floor road network extraction method based on image refinement comprises the following steps:
projecting a three-dimensional shape of a cross-floor member into a two-dimensional plane through a top view of the cross-floor member;
extracting a two-dimensional topological path from the two-dimensional projection drawing of the cross-floor member;
and interacting the topological path with a cross-floor member in the BIM to obtain a final cross-floor path.
Preferably, the three-dimensional shape of the cross-floor member is mapped onto the X-Z plane by a three-dimensional rectangular coordinate system in a BIM environment.
Preferably, a two-dimensional topological path projected on an X-Z plane by the cross-floor member is extracted by using an image thinning algorithm, and the two-dimensional topological path is a projection of a three-dimensional cross-floor topological path on the X-Z plane.
Preferably, the binary image generated by binary filling the two-dimensional projection of the cross-floor member is marked as black or white, wherein the black fills the inner points of the projection drawing of all the cross-floor members, and the white fills the outer points, and the points are an n × n grid on the X-Z plane; a point is an interior point if it is located within the boundary of the projected image across the floor member; otherwise, it is an exterior point.
Preferably, a point is determined to be an interior point or an exterior point by either extending along the Y-axis or radiating in the X-Z plane.
Preferably, the Zhang-Suen algorithm is used to refine the binary image generated by binary filling.
Preferably, points in the two-dimensional topological graph are reduced by using a preset step value m, and the (l × m) th (l ═ 0, 1, 2, …) point is kept in the two-dimensional topological graph;
for a reservation point p in a two-dimensional topological graphleft＝(xleft，0，zleft) Constructing a slave (x)left，0，zleft) To (x)left，ym，zleft) Of a surface f in the three-dimensional shape of the cross-storey building element3DExpressed in triangles, said face f3DComposed of three points (x)1，y1，z1)，(x2，y2，z2) And (x)3，y3，z3) Indicating that the slave point p is calculatedleftSum of straight lines of injection f3DCross point p ofint＝(x，yintZ) if pleftCorresponding straight line and f3DDisjoint, then pint＝(x，0，z)；
A set of intersection points p will be obtained by iterating across all faces in the three-dimensional shape of the floor memberintAt p ofintThe point with the maximum y value in the point set is regarded as the final three-dimensional point in the cross-floor topological path, and after the three-dimensional points corresponding to all reserved topological points in the two-dimensional topological graph are calculated, the three-dimensional points are connected to generate the final cross-floor topological path.
The BIM model cross-floor road network extraction method can extract a cross-floor path from a cross-floor member in any three-dimensional shape; the method is not only suitable for extracting the cross-floor member road network with regular geometric shapes, but also can extract a complete and reasonable cross-floor road network from the cross-floor member with irregular geometric shapes.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive exercise, wherein,
FIG. 1 is a schematic diagram of a process for generating a cross-floor path from a cross-floor member;
FIG. 2 is a schematic diagram of a coordinate system in a BIM environment;
FIG. 3 is a schematic view of a curved stair member in a cross-floor member;
FIG. 4(a) is a schematic diagram of Y-axis stretching (binary filling mode);
FIG. 4(b) is a schematic diagram of point radiation (binary filling mode) in the X-Z plane;
FIG. 5(a) is a schematic diagram of a binary image with a refined rendering;
FIG. 5(b) is a two-dimensional topological diagram of a rendering refinement;
FIG. 6(a) is a schematic diagram of a three-dimensional shape during cross-floor topological path generation;
FIG. 6(b) is a projection diagram of the components in the process of generating the cross-floor topological path;
FIG. 6(c) is a projected binary map during generation of a cross-floor topological path;
FIG. 6(d) is a detailed diagram of the projected graph in the process of generating the cross-floor topological path;
fig. 6(e) is a schematic diagram of a cross-floor topological path in the cross-floor topological path generation process.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the invention provides a BIM model cross-floor road network extraction method based on image refinement, which comprises the following steps:
and projecting the cross-floor member: projecting a three-dimensional shape of a cross-floor member into a two-dimensional plane through a top view of the cross-floor member;
a step of refining the projection drawing: obtaining a two-dimensional topological path in a two-dimensional projection diagram of the cross-floor member by adopting an image thinning algorithm;
and (3) interacting the projection detailed graph with the BIM component: and interacting the refined topological path with a cross-floor member in the BIM model to obtain a final cross-floor path.
Further, the projection of the cross-floor member is specifically as follows:
as shown in fig. 2, it is a three-dimensional rectangular coordinate system in the BIM environment, which includes three axes of x, y and z, and the x axis is horizontal and the y axis is vertical, as in the two-dimensional rectangular coordinate system. In a three-dimensional environment, the z-axis represents depth. When y is set to 0 (or other fixed value), then the X-Z plane (horizontal plane) is obtained. Similarly, the X-Y plane is a two-dimensional plane with Z0 or other fixed value, and the Y-Z plane refers to a two-dimensional plane with X0 or other fixed value.
After a three-dimensional rectangular coordinate system in the BIM environment is set, the projection of the cross-floor member is converted into the mapping of the three-dimensional shape of the cross-floor member to an X-Z plane. By setting all points/lines/planes in the three-dimensional graph to y-0, an X-Z planar projection of the cross-floor member can be obtained. That is, point (x)1,y1,z1) Is (X)1,0,z1)。
In particular, some useless three-dimensional graphics must be removed before projection, because these useless three-dimensional graphics can cause noise to the projection refinement process. Take a curved staircase as an example. Stairs are defined by ifcslair instances in the IFC specification. Since an ifcslair instance typically consists of many other IFC instances, an ifcslair instance is a composite IFC instance. As shown in fig. 3, the ifcslair instance consists of two IfcRailing instances, two IfcMember instances, and one ifcstartright instance. When the entire curved staircase (ifcslair example) is projected, the boundaries of the projected graph become complex (lower left corner in fig. 3). Since many three-dimensional shapes are also contained in the two IfcRailing instances and the two IfcMember instances, this can be noisy for the generation of the curved stair topology path. Meanwhile, the noise introduced by the IfcMember and IfcRailing examples may also increase the computational complexity and increase the difficulty of generating the cross-floor topological path. If both IfcMember and IfcRailing instances are deleted, a simpler cross-floor member projection view (lower right corner of fig. 3) would be available. The present invention eliminates noise introduced by an IFC instance based on the IFC type of the primary component in each building component.
Further, the step of refining the projection map specifically comprises:
and extracting a two-dimensional topological path projected by the cross-floor member on an X-Z plane by using an image thinning algorithm, wherein the obtained two-dimensional topological path is the projection of the three-dimensional cross-floor topological path on the X-Z plane.
The two-dimensional projected image of the cross-floor building element is marked as black or white, called binary filling. Binary fill fills all interior points of the cross-floor member projected graph with black and exterior points with white, where the points are an n X n grid on the X-Z plane. A point is an interior point if it is located within the boundary of the projected image across the floor member; otherwise, it is an exterior point. Fig. 4 illustrates an example of determining interior and exterior points in a cross-floor member projection view.
There are two ways to determine whether a point is an interior point or an exterior point, namely extension along the Y-axis and irradiation in the X-Z plane. Extending along the Y-axis is to increase the Y-coordinate value of a point whose extension on the Y-axis should intersect a plane in the three-dimensional shape of the cross-floor building element if this point is inside the projected view of the cross-floor element. Fig. 4(a) shows an example of the extension along the Y-axis. For a given point (x)1，0，z1) Generating a slave (x)1，0，z1) To (x)1，y1，z1) A line of (2), wherein y1Is set to a sufficiently large value. Point (x) if the line passes through any one of the three-dimensional shapes of the cross-floor building elements1，0，z1) Is an interior point of the cross-floor member projection view; otherwise, it is an exterior point. As shown in fig. 4(a), point a passes through at least one face of the three-dimensional shape, which is an interior point. The extension along the Y-axis must be iterated across each face of the three-dimensional graph of floor members to observe the intersection until an intersection is found. In contrast to the extension along the Y-axis approach, X-Z plane radiation does not use the three-dimensional shape of the cross-floor member, but rather uses purely two-dimensional projection images of the cross-floor member. X-Z radiation emits radiation from a given point. If all ofIntersects the cross-floor member projection image at least in one line, then the given point is an interior point; otherwise, the given point is an outer point. An example of X-Z radiation is given in fig. 4 (b). For a given point (x)1，0，z1) Generating a slave (x)1，0，z1) To (x)1+r·cos(kθ)，0，z1+ r · sin (k θ)), where r is a sufficiently large value representing the radius, θ represents the angle of two adjacent lines, k is 1, 2, …, 2 pi/θ, k is an integer. In fig. 4(b), θ ═ pi/2 and k ═ 1, 2, 3, 4. Point a is an interior point of the projected graph across the floor structure because all rays from point a intersect at least one projection line in the image. In contrast, the ray with k 2 radiated from point B does not intersect the projection line in the projection image, so point B is one of the outer points of the cross-floor member projection map. The present invention addresses the binary fill problem of projection maps across floor members using extensions along the Y-axis.
And a two-value image generated by a two-value filling process is utilized, and a two-dimensional topological graph can be directly obtained by a projection thinning algorithm. The Zhang-Suen algorithm is adopted to refine the binary image, and a two-dimensional topological graph of the cross-floor building component is generated. Fig. 5 gives a specific example of the rendering refinement. Fig. 5(a) is a binary image, and fig. 5(b) is a generated two-dimensional topological graph. Obviously, the generated two-dimensional topological map is similar to the projected path of the curved stair path in the X-Z plane.
Further, the interaction step of the projection refined map and the BIM component is specifically as follows:
and interacting the two-dimensional topological graph with the three-dimensional shape in the BIM model to obtain a final three-dimensional topological path. The lines in the two-dimensional topological graph are composed of continuous points. These large numbers of points will result in high computational complexity in projection refinement maps interoperating with the BIM components and path planning applications. The invention first reduces the points in the two-dimensional topological graph by using a preset step value m, namely, the (l × m) th (l ═ 0, 1, 2, …) point is kept in the two-dimensional topological graph, and other points are deleted. A straight line is then established for any two adjacent reserved points, such as the (l × m) th point and the [ (l +1) × m ] points (l ═ 0, 1, 2, …). This process will reduce the number of original points in the two-dimensional topology map by a factor of 1/m.
For a reservation point p in a two-dimensional topological graphleft＝(xleft，0，zleft) Constructing a slave (x)left，0，zleft) To (x)left，ym，zleft) Straight line of (a), ymIs a sufficiently large value. Face f in the three-dimensional shape of a cross-storey building element3DGenerally represented by triangles. Face f3DCan be composed of three points (x)1，y1，z1)，(x2，y2，z2) And (x)3，y3，z3) And (4) showing. Then calculates the slave point pleftSum of straight lines of injection f3DCross point p ofint＝(x，yintZ). If p isleftCorresponding straight line and f3DDisjoint, then pint(x, 0, z). In this way, a set of intersection points p will be obtained by iteratively spanning all the faces in the three-dimensional shape of the floor memberint. Since the point of passability is always at the top, therefore at pintIs considered to be the final three-dimensional point in the topological path across floors. After three-dimensional points corresponding to all reserved topological points in the two-dimensional topological graph are calculated, the three-dimensional points can be connected to generate a final cross-floor topological path.
The embodiment of the invention takes a curved stair as an example, and in the BIM model, the curved stair is a typical floor crossing member, and the three-dimensional shape of the curved stair is irregular. Compared to common cross-floor members such as straight stairways, L-type stairways and n-type stairways, the stair sections in curved stairways are not straight. Such irregularly shaped cross-floor members may result in that the topological graph cannot be correctly extracted using the existing cross-floor road network generation scheme. Fig. 6 demonstrates the generation process of the cross-floor topological road network of the curved stairway. Fig. 6(a) and (b) are projection images of the three-dimensional shape and horizontal plane of a certain curved staircase obtained from the design tool. Fig. 6(c) and (d) are binary images of the projection map and their corresponding projection refinement maps. Fig. 6(e) is a cross-floor topological path diagram generated on a curved staircase in the BIM model. Obviously, the method provided by the invention fully applies the image thinning technology, greatly reduces the influence of the geometric shape of the cross-floor member on the cross-floor topological path generation process, is not only suitable for extracting the cross-floor member road network with regular geometric shapes, but also can extract a complete and reasonable cross-floor road network from the cross-floor member with irregular geometric shapes.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (3)
1. A BIM model cross-floor road network extraction method based on image refinement is characterized by comprising the following steps:
projecting a three-dimensional shape of a cross-floor member into a two-dimensional plane through a top view of the cross-floor member;
extracting a two-dimensional topological path from the two-dimensional projection drawing of the cross-floor member;
interacting the topological path with a cross-floor member in a BIM (building information modeling) model to obtain a final cross-floor path;
the binary image generated by binary filling the two-dimensional projection of the cross-floor member is marked as black or white, the black fills the inner points of the projection drawing of all the cross-floor members, the white fills the outer points, and the points are an n multiplied by n grid on an X-Z plane; a point is an interior point if it is located within the boundary of the projected image across the floor member; otherwise, it is an exterior point; determining whether a point is an interior point or an exterior point by either extending along the Y axis or radiating along the X-Z plane;
extracting a two-dimensional topological path projected by a cross-floor member on an X-Z plane by using an image thinning algorithm, wherein the two-dimensional topological path is the projection of a three-dimensional cross-floor topological path on the X-Z plane; the method specifically comprises the following steps: reducing points in the two-dimensional topological graph by using a preset step value m, keeping the (l × m) th (l is 0, 1, 2, …) point in the two-dimensional topological graph, and keeping a reserved point p in the two-dimensional topological graphleft＝(xleft，0，zleft) Constructing a slave (x)left，0，zleft) To (x)left，ym，zleft) Of a surface f in the three-dimensional shape of the cross-storey building element3DExpressed in triangles, said face f3DComposed of three points (x)1，y1，z1)，(x2，y2，z2) And (x)3，y3，z3) Indicating that the slave point p is calculatedleftSum of straight lines of injection f3DCross point p ofint＝(x，yintZ) if pleftCorresponding straight line and f3DDisjoint, then pint(x, 0, z), a set of intersection points p will be obtained by iterating across all the faces in the three-dimensional shape of the floor memberintAt p ofintThe point with the maximum y value in the point set is regarded as the final three-dimensional point in the cross-floor topological path, and after the three-dimensional points corresponding to all reserved topological points in the two-dimensional topological graph are calculated, the three-dimensional points are connected to generate the final cross-floor topological path.
2. The image refinement-based BIM model cross-floor road network extraction method according to claim 1, characterized in that the three-dimensional shape of the cross-floor member is mapped onto X-Z plane by a three-dimensional rectangular coordinate system in BIM environment.
3. The BIM model cross-floor road network extraction method based on image refinement as claimed in claim 1 or 2, characterized in that a Zhang-Suen algorithm is adopted to refine the binary image generated by binary filling.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110143353.7A CN112948919B (en) | 2021-02-02 | 2021-02-02 | BIM model cross-floor road network extraction method based on image refinement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110143353.7A CN112948919B (en) | 2021-02-02 | 2021-02-02 | BIM model cross-floor road network extraction method based on image refinement |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112948919A CN112948919A (en) | 2021-06-11 |
| CN112948919B true CN112948919B (en) | 2022-04-19 |
Family
ID=76241607
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110143353.7A Active CN112948919B (en) | 2021-02-02 | 2021-02-02 | BIM model cross-floor road network extraction method based on image refinement |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112948919B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109974703A (en) * | 2019-02-27 | 2019-07-05 | 深圳大学 | A kind of construction method, system and the device of indoor navigation network |
| CN111080786A (en) * | 2019-12-19 | 2020-04-28 | 盈嘉互联（北京）科技有限公司 | BIM-based indoor map model construction method and device |
| CN111161394A (en) * | 2018-11-07 | 2020-05-15 | 网易（杭州）网络有限公司 | Three-dimensional building model placing method and device |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9972120B2 (en) * | 2012-03-22 | 2018-05-15 | University Of Notre Dame Du Lac | Systems and methods for geometrically mapping two-dimensional images to three-dimensional surfaces |
| CN108541322B (en) * | 2016-08-29 | 2021-09-14 | 北京清影机器视觉技术有限公司 | Method and device for processing three-dimensional vision measurement data |
| CN106767819B (en) * | 2016-12-07 | 2020-04-24 | 盈嘉互联（北京）科技有限公司 | BIM-based indoor navigation data construction method and navigation system |
| CN106767826A (en) * | 2016-12-23 | 2017-05-31 | 上海雅丰信息科技有限公司 | A kind of indoor method across floor path navigation |
| CN107092727A (en) * | 2017-03-30 | 2017-08-25 | 南京师范大学 | A kind of across the floor space extracting method of Indoor environment based on CAD diagram paper |
| CN108692728A (en) * | 2018-04-26 | 2018-10-23 | 哈尔滨工业大学深圳研究生院 | Indoor navigation method based on CAD architectural drawings and Computer Vision Recognition and system |
| CN110189412B (en) * | 2019-05-13 | 2023-01-03 | 武汉大学 | Multi-floor indoor structured three-dimensional modeling method and system based on laser point cloud |
-
2021
- 2021-02-02 CN CN202110143353.7A patent/CN112948919B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111161394A (en) * | 2018-11-07 | 2020-05-15 | 网易（杭州）网络有限公司 | Three-dimensional building model placing method and device |
| CN109974703A (en) * | 2019-02-27 | 2019-07-05 | 深圳大学 | A kind of construction method, system and the device of indoor navigation network |
| CN111080786A (en) * | 2019-12-19 | 2020-04-28 | 盈嘉互联（北京）科技有限公司 | BIM-based indoor map model construction method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112948919A (en) | 2021-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210312710A1 (en) | Systems and methods for processing 2d/3d data for structures of interest in a scene and wireframes generated therefrom | |
| CN110033513B (en) | Generating a 3D model representing a building | |
| Jung et al. | Automated 3D wireframe modeling of indoor structures from point clouds using constrained least-squares adjustment for as-built BIM | |
| CN109711018B (en) | Two-dimensional to three-dimensional house type design method | |
| CN106683167B (en) | Automatic modeling method for high-precision model of complex building | |
| US7272264B2 (en) | System and method for hole filling in 3D models | |
| JP2019149148A (en) | Semantic segmentation of 2d floor plans using pixel-wise classifier | |
| CN108171780A (en) | A kind of method that indoor true three-dimension map is built based on laser radar | |
| JP5984114B2 (en) | Model creation program, model creation method, and model creation device | |
| JP2013507679A (en) | Method and system capable of 3D printing of 3D object model | |
| Zheng et al. | Adaptive T-spline surface fitting to z-map models | |
| Cordier et al. | Inferring mirror symmetric 3D shapes from sketches | |
| CN110689620A (en) | Multi-level optimized mesh surface discrete spline curve design method | |
| CN113051654B (en) | Indoor stair three-dimensional geographic entity model construction method based on two-dimensional GIS data | |
| CN113744403B (en) | Method and system for generating three-dimensional model of building | |
| Kaufmann et al. | ScaleBIM: Introducing a scalable modular framework to transfer point clouds into semantically rich building information models | |
| Rau | A line-based 3D roof model reconstruction algorithm: Tin-merging and reshaping (TMR) | |
| Mao et al. | Robust surface reconstruction of teeth from raw pointsets | |
| CN112948919B (en) | BIM model cross-floor road network extraction method based on image refinement | |
| Yoon et al. | Practical implementation of semi-automated as-built BIM creation for complex indoor environments | |
| JP2920195B2 (en) | Shape conversion method and device | |
| Hrozek et al. | Digital preservation of historical buildings using virtual reality technologies | |
| CN112967175B (en) | Cross-floor road network extraction method based on BIM | |
| Remondino et al. | Detailed primitive-based 3D modeling of architectural elements | |
| Reisner-Kollmann et al. | Interactive reconstruction of industrial sites using parametric models |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240315 Address after: 1308, 13th Floor, Shougang Sports Building, No. 6 Jinyuanzhuang Road, Shijingshan District, Beijing, 100043 Patentee after: BIM WINNER (BEIJING) TECHNOLOGY CO.,LTD. Country or region after: China Address before: 100040 room 1008, 10th floor, building 16, yard 30, Shixing street, Shijingshan District, Beijing Patentee before: BIM WINNER (BEIJING) TECHNOLOGY CO.,LTD. Country or region before: China Patentee before: BIM WINNER (SHANGHAI) TECHNOLOGY Co.,Ltd. Patentee before: SHENZHEN BIM WINNER TECHNOLOGY Co.,Ltd. Patentee before: Yingjia Internet (Beijing) Smart Technology Co.,Ltd. Patentee before: JIAXING WUZHEN YINGJIA QIANZHEN TECHNOLOGY Co.,Ltd. Patentee before: SHENZHEN QIANHAI YINGJIA DATA SERVICE Co.,Ltd. Patentee before: Foshan Yingjia Smart Space Technology Co.,Ltd. |