KR20220067828A - Device and method for making three dimensional modeling using simulator - Google Patents

Abstract

Disclosed are a device and method for making three-dimensional modeling for a simulator. According to an embodiment of the present invention, a method for making three-dimensional modeling for a simulator comprises the steps of: setting a simulation target area; loading spatial information corresponding to the set simulation target area from predefined 3D high-precision spatial information; processing road information among the loaded spatial information; generating road data by a linear operation using the processed road information; setting a gradient for the generated road data; and generating simulation content using road data with a set gradient.

Description

Device and method for making three dimensional modeling using simulator}

The present invention relates to a 3D modeling manufacturing apparatus and method for a simulator, and more particularly, to a 3D modeling manufacturing apparatus and a 3D modeling manufacturing apparatus for a simulator capable of easily manufacturing a simulator scenario without using a dedicated tool capable of creating 3D modeling it's about how

The most classic way to practice driving a vehicle is to practice driving on a real road with a real vehicle. However, when an inexperienced person actually drives on the road, it becomes a cause of large and small accidents.

Accordingly, the spread of vehicle simulators in which unskilled people can practice driving in a safe way indoors before driving on an actual road with an actual vehicle is expanding.

In general, a vehicle simulator includes a display device that displays a background screen, and a cabin in which a trainee sits and controls driving. The display device provides visual information about the road as a background screen.

However, since the visual information on the road provided by the early vehicle simulator was limited to two dimensions, the trainee did not get the feeling of training on the road and there was a disadvantage that he could not feel a sense of presence at all.

In order to solve this drawback, a method for increasing the sense of presence by using the 3D virtual reality technique has been devised, but it only provides an improved three-dimensional image compared to the two-dimensional image, and does not deviate from the limits of virtual reality independent of the actual road. couldn't

After the trainee trains to drive through the vehicle simulator, in order to quickly adapt to the real road, training in the same environment as the real road on which the trainee will drive is required.

For training in an environment such as a real road, it is necessary to directly investigate the environments such as roads, terrain, and buildings that exist on the actual road, and then create a scenario for the simulator by 3D modeling using an expensive tool such as 3D MAX. do.

However, producing a scenario for a simulator through 3D modeling by directly examining all roads is a very difficult task that requires a lot of money and time, and there is a problem in that it is impossible to quickly respond to a desired place by a trainee.

Domestic Patent Publication No. 10-2017-0009423 (published on January 25, 2017)

The technical task of the present invention to solve the above problems is to propose a method of processing 3D high-precision spatial information provided by the Ministry of Land, Infrastructure and Transport into data usable in a simulator environment, thereby making it possible to produce simulation contents simply and quickly. An object of the present invention is to present an apparatus and method for manufacturing 3D modeling for a simulator.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

As a means for solving the above-described technical problem, the 3D modeling manufacturing method for a simulator according to an embodiment of the present invention includes the steps of setting a simulation target area, and corresponding to the simulation target area set from predefined 3D high-precision spatial information loading geospatial information, processing road information among the loaded spatial information, generating road data by a linear operation using the processed road information, setting a gradient for the generated road data, and and generating simulation content using road data in which the gradient is set.

Preferably, the processing may include a sampling step of relocating point cloud data among spatial information, and a restoration step of changing the relocated point cloud data into small point cloud data.

Also preferably, the linear operation may be made of a combination of a straight line, a curved arc, a curved clothoid, and a spline.

Also preferably, the step of setting the gradient may include designating a point at which the gradient is to be changed, and setting a gradient slope value of the designated point.

Meanwhile, the 3D modeling manufacturing apparatus for a simulator according to another embodiment of the present invention includes an input unit for setting a simulation target area, and a loading unit for loading spatial information corresponding to a simulation target area set from predefined 3D high-precision spatial information. , a processing unit that processes road information among the loaded spatial information, a road data generation unit that generates road data by a linear operation using the processed road information, a slope setting unit that sets a slope for the generated road data, and a slope and a content generator for generating simulation content by using the set road data.

Also preferably, the processing unit may perform a sampling operation of relocating point cloud data among spatial information and a restoration operation of changing the relocated point cloud data into small point cloud data.

Also preferably, the linear operation may be made of a combination of a straight line, a curved arc, a curved clothoid, and a spline.

Also preferably, the gradient setting unit may set a gradient slope value of the designated point after designating a point at which the gradient is to be changed.

According to the present invention, since a simulation environment is built using 3D high-precision spatial information provided by the Ministry of Land, Infrastructure and Transport, there is no need to conduct due diligence to obtain information on roads and terrain. It has the effect of providing an apparatus and method for producing a three-dimensional model for

In addition, since there is no need to use a tool such as 3D MAX for 3D modeling, there is a great advantage in terms of cost, as well as the effect of reducing the time and cost required for 3D modeling.

Effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a block diagram of a three-dimensional modeling manufacturing apparatus for a simulator according to a preferred embodiment of the present invention;
2 and 3 are views for explaining the operation of the processing unit shown in FIG. 1;
4 is a view showing an error rate appearing as a result of the operation of the processing unit shown in FIG. 1;
5A to 5C are diagrams for explaining the operation of the road data generator shown in FIG. 1;
6 is a diagram illustrating a user interface provided by the gradient setting unit shown in FIG. 1;
7 is a view for explaining the operation of the gradient setting unit shown in FIG. 1;
8A to 8C are diagrams illustrating data generated by a 3D modeling apparatus for a simulator according to a preferred embodiment of the present invention;
9 is a flowchart illustrating a 3D modeling manufacturing method for a simulator according to a preferred embodiment of the present invention.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed content may be thorough and complete, and the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

In this specification, when a component is referred to as being on another component, it may be directly formed on the other component or a third component may be interposed therebetween. In addition, in the drawings, the thickness of the components is exaggerated for effective description of the technical content.

When it is stated that any element, component, device, or system includes a component consisting of a program or software, even if not explicitly stated, that element, component, device, or system means that the program or software executes or operates It should be understood to include hardware (eg, memory, CPU, etc.) or other programs or software (eg, drivers necessary to run an operating system or hardware) necessary for the operation.

In addition, it should be understood that, unless specifically stated in the implementation of an element (or component), the element (or component) may be implemented in software, hardware, or any form of software and hardware.

In addition, the terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the terms 'comprises' and/or 'comprising' do not exclude the presence or addition of one or more other components.

1 is a block diagram of an apparatus for manufacturing a three-dimensional model for a simulator according to a preferred embodiment of the present invention.

Referring to FIG. 1 , a 3D modeling manufacturing apparatus (hereinafter referred to as a 'modeling manufacturing apparatus') 100 for a simulator according to a preferred embodiment of the present invention includes an input unit 110 , a loading unit 120 , and a processing unit. 130 , a road data generation unit 140 , a gradient setting unit 150 , a content generation unit 160 , a storage unit 170 , and a control unit 180 .

The input unit 110 sets a simulation target area. Here, the simulation target area is an area corresponding to a road that the user wants to learn through simulation, and is input from the user. That is, the input unit 110 supports an interface between the modeling manufacturing apparatus 100 and a user.

The loading unit 120 loads spatial information corresponding to the simulation target region from predefined 3D high-precision spatial information. 3D high-precision spatial information includes information on various elements constituting a space, such as roads, traffic lights, and buildings, and countries around the world are working to construct more accurate 3D high-precision spatial information for their territories. In Korea, the Ministry of Land, Infrastructure and Transport is providing 3D high-precision spatial information.

The processing unit 130 processes road information among the spatial information loaded by the loading unit 120 . More specifically, in the processing unit 130, in order to apply 3D high-precision spatial information to the simulation environment, high-resolution point cloud data constituting a precision path from spatial information is sampled and restored. (Reconstruction) It is processed through work. Point cloud data refers to data irregularly composed of points having three-dimensional coordinates, and is also called point cloud or point cloud data. The operation of the processing unit 130 will be described in more detail with reference to FIGS. 2 and 3 to be described later.

The road data generation unit 140 generates road data by performing a linear operation using the road information processed by the processing unit 130 . Here, the linear operation consists of a combination of a straight line, a curved arc, a curved clothoid, and a spline. A straight line is to express a straight line, a curved arc has the characteristic of having the same curvature reflection, a curved clothoid has the characteristic of drawing a curve with a changing radius of curvature, and a spline has a characteristic of drawing a smooth curve. have.

The slope setting unit 150 sets a slope for the road data generated by the road data generation unit 140 . Here, the slope refers to the slope of the line, cut, or fill surface, and in general, the slope of the road is largely divided into a longitudinal slope and a flat slope. The longitudinal gradient is a measure of how much the road is inclined in the direction of travel, and the partial gradient is a measure of how much the road is inclined in the transverse direction.

The gradient setting unit 150 may set the gradient for road data according to the gradient set by the user, and for this purpose, provides a gradient setting UI (User Interface) for the user to set the gradient. This will be described in more detail with reference to FIG. 6 to be described later.

The content generating unit 160 generates simulation content using road data in which a gradient is set. The simulation content generated by the content generator 160 is reproduced in the simulator.

The storage unit 170 stores all information necessary for the operation of the modeling manufacturing apparatus 100 . For example, the storage unit 170 temporarily stores information and data generated as a result of operations of the processing unit 130 , the road data generation unit 140 , the gradient setting unit 150 , and the content generation unit 160 . can

The controller 180 controls overall functions of the modeling manufacturing apparatus 100 . That is, the controller 180 includes an input unit 110 , a loading unit 120 , a processing unit 130 , a road data generation unit 140 , a gradient setting unit 150 , a content generation unit 160 , and a storage unit ( 170) to control the signal input/output between them.

2 and 3 are views for explaining the operation of the processing unit shown in FIG.

Referring to FIG. 2 , the processing unit 130 processes road information among spatial information through sampling and restoration operations, and may obtain the result of (b) by sampling the original data of (a), and again The result of (c) can be obtained by performing restoration work.

High-resolution point cloud data with an interval of 2 m, which constitutes the precision road of 3D high-precision spatial information, cannot be directly applied to the simulation environment. Therefore, in the present embodiment, a sampling operation is performed so that the movement and processing operation of the autonomous vehicle can be performed quickly in a simulation environment, and a restoration operation is performed to clearly output the road during visualization and reduce the error rate, thereby providing precision road data is changed to a form that can be applied to the simulation environment. As a result of this operation, the results of (b) and (c) are shown.

3 shows a result obtained by performing a restoration operation in the processing unit 130 . When the unstructured original data is sampled, the position of the point cloud data is rearranged at regular intervals. If the intervals are farther apart, the shape of the road visualized at the left/right turning intersection is not smooth as in (a), but appears angular.

Accordingly, the processing unit 130 makes the road smooth by generating the point cloud data in a smaller size than the sampling operation between the intervals. If the road in (a) undergoes restoration work, a smooth road with smooth curves as in (b) is created.

4 is a view showing an error rate appearing as a result of the operation of the processing unit shown in FIG. 1 .

As mentioned above, the processing unit 130 performs a processing operation including a sampling operation and a restoration operation by using the spatial information. When the processing unit 130 processes data, an error occurs between the original data and the processed data. At this time, when the error rate is more than 5%, it is impossible to perform the role of a precise simulator.

In this embodiment, based on the results of performing sampling and restoration work on precision roads in a specific area in Korea, the results of the error rate measurement test for all roads existing in the same area are shown. As a result of the actual experiment, the error rate was less than 1.4%.

5A to 5C are diagrams for explaining the operation of the road data generator shown in FIG. 1 .

The road data generating unit 140 performs a linear operation by a combination of a straight line, a curved arc, a curved clothoid, and a spline, and generates road data when the linear operation is completed.

Road data requires several items to represent an area of spatial data data. More specifically, an area is called a network, and a general road within the network is divided into a track and an intersection into a link. In addition, a block is used as an item for expressing road alignment or lane information.

The track is shown in Fig. 5a. A track corresponds to an item representing a general road in the network. As shown, the track has an image of the same shape as the actual road.

Figure 5b shows the tracks and links. Since a track corresponds to a general road and a link corresponds to an intersection, when a pair of tracks intersect in a cross shape (+), the intersection corresponds to a link.

Tracks and blocks are shown in Fig. 5c. The track must include at least one block item for road alignment or lane information. In one block, one lane information is used. Therefore, when the lane information is changed in the track, it is divided into a plurality of blocks and managed.

As shown in (a), a track may include one block, and as shown in (b), a track may include two blocks. That is, the number of blocks included in one track is formed to correspond to the number of lane information generated in one track.

6 is a diagram illustrating a user interface provided by the gradient setting unit shown in FIG. 1 .

The user can arbitrarily set the gradient for the road data. To this end, the gradient setting unit 150 provides a gradient setting UI for the user. In this embodiment, such a gradient setting UI is exemplified.

(a) is an initial screen of the gradient setting UI provided so that the user can set the gradient for road data. Here, the x-axis is the linear length, and the y-axis is the gradient inclination angle. In the gradient setting UI, when the user clicks the "Add Key" part at the position where the gradient is to be set with reference to the x-axis, a point corresponding to the key is created.

Although not shown, on the initial screen of the gradient setting UI as shown in (a), a help message such as “Create a point by right-clicking the mouse” may be further displayed to help the user's convenience.

When the user creates a point in (a), as shown in (b), a center point (A) is created at the part clicked by the user. The user sets the desired gradient inclination value by dragging the center point (A). The screen displays the gradient inclination angle that changes as the user drags the center point.

When the user sets the gradient gradient value, as shown in (c), control points B of a different color from the center point A are created on both sides of the center point A. Using the control point (B), the angle of inclination can be smoothed and fine adjustments can also be made.

In the gradient setting UI shown in this embodiment, if it goes up from the center of the road toward the outside of the road, it is a (+) gradient, and if it goes down, it is a (-) gradient. In addition, as shown, the user can easily and intuitively check the inclination of the road and adjust it.

FIG. 7 is a view for explaining the operation of the gradient setting unit shown in FIG. 1 .

In this embodiment, (a) illustrates the road before setting the slope, and (b) illustrates the road after setting the slope. When the user sets the (-) gradient as in (c) using the gradient setting UI, the road in (a) is changed to the form in (b).

8A to 8C are diagrams illustrating data generated by a 3D modeling apparatus for a simulator according to a preferred embodiment of the present invention.

8A illustrates a state in which a 3D spatial information database of a standard data format is established by defining a data format of 3D high-precision spatial information in order to utilize 3D high-precision spatial information.

More specifically, roads, intersections, traffic lights, and visual objects are extracted from 3D high-precision spatial information, and each object is separated into groups to build a database.

8B shows a spatial data format composed of geometrical structure information recognizable by an autonomous vehicle and visual information to be displayed in an image using the spatial database after constructing a spatial database using 3D high-precision spatial information. It exemplifies what

FIG. 8C illustrates a simulation screen to be finally displayed in the simulator after the process of FIGS. 8A and 8B is performed. As shown, the simulation screen includes a function for loading spatial information data desired by a user, a function for generating road data by editing roads, lanes, and intersections, and a function for setting a signal system, It may also include a function related to an editing tool that can check road data generated by selection and edit spatial information.

9 is a flowchart illustrating a method of manufacturing a 3D model for a simulator according to a preferred embodiment of the present invention.

Here, a 3D modeling manufacturing method for a simulator according to a preferred embodiment of the present invention will be described with reference to FIGS. 1 to 9 .

A simulation target area is set through the input unit 110 (S200). Here, the simulation target area may be an area corresponding to an actual place where the user intends to practice driving through simulation.

The loading unit 120 loads spatial information on the simulation target area input through the input unit 110 (S210).

The processing unit 130 processes road information among the spatial information loaded by the loading unit 120 . More specifically, a sampling operation of spatial information is performed, and a restoration operation is performed thereafter (S220).

When the processing operation of the processing unit 130 is completed, the road data generation unit 140 generates road data by performing a linear operation using the processed road information (S230).

Thereafter, when the user sets the gradient by manipulating the gradient setting UI (S240), the content generating unit 160 generates simulation information using the road data (S250). Simulation information generated by this procedure is provided to the user as illustrated in FIG. 8C .

Those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: 3D modeling production device 110: input unit
120: loading unit 130: processing unit
140: road data generation unit 150: slope setting unit
160: content generation unit 170: storage unit
180: control unit

Claims (8)

setting a simulation target area;
loading spatial information corresponding to the set simulation target area from predefined 3D high-precision spatial information;
processing road information among the loaded spatial information;
generating road data by a linear operation using the processed road information;
setting a gradient for the generated road data; and
3D modeling manufacturing method for a simulator comprising; generating simulation content using the road data in which the gradient is set. The method of claim 1,
The processing step is
a sampling step of relocating point cloud data among the spatial information; and
3D modeling manufacturing method for a simulator comprising; a restoration step of changing the relocated point cloud data into small point cloud data. The method of claim 1,
The linear operation is a 3D modeling manufacturing method for a simulator, characterized in that it consists of a combination of a straight line, a curved arc, a curved clothoid, and a spline. The method of claim 1,
The step of setting the gradient is
designating a point at which the gradient is to be changed; and
3D modeling manufacturing method for a simulator comprising; setting a gradient gradient value of the designated point. an input unit for setting a simulation target area;
a loading unit for loading spatial information corresponding to the set simulation target area from predefined 3D high-precision spatial information;
a processing unit for processing road information among the loaded spatial information;
a road data generator for generating road data by a linear operation using the processed road information;
a gradient setting unit for setting a gradient for the generated road data; and
3D modeling apparatus for a simulator comprising a; a content generator for generating simulation content by using the road data in which the gradient is set. 6. The method of claim 5,
The processing unit performs a sampling operation of relocating point cloud data among the spatial information, and performing a restoration operation of changing the relocated point cloud data into small point cloud data. 3D modeling production device for 6. The method of claim 5,
The linear operation is a 3D modeling apparatus for a simulator, characterized in that it consists of a combination of a straight line, a curved arc, a curved clothoid, and a spline. 6. The method of claim 5,
The gradient setting unit, after designating a point at which the gradient is to be changed, sets the gradient gradient value of the designated point.

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