KR20140063266A - The automate road mapping method using observed field data - Google Patents

Abstract

The objective of the present invention is to provide a method for automatically mapping a road, capable of: automatically acquiring a road width and locations and types of a median strip, a guardrail and a road sign, etc. by using a laser in the process of mapping a road shape; and using the acquired data in a CAD. The method for automatically mapping a road using observation data includes the steps of: acquiring a posture of a vehicle and a location of a road and road information through a sensor unit installed in the vehicle that drives the road; extracting a horizontal alignment, a vertical inclination and a horizontal inclination of the road by using the acquired location information and posture information of the vehicle and classifying the shapes of the horizontal alignment, the vertical inclination and the horizontal inclination of the road into a straight section and a curvilinear section; linearly arranging the horizontal alignment, the vertical inclination and the horizontal inclination of the road by using a measuring value, from which a noise is removed, and latitude and longitude coordinate values of the vehicle in the location information of the vehicle measured in every measurement unit distance, namely, by using the measuring value from which the noise is removed for the road to be measured, and the latitude and longitude coordinate values of the vehicle measured at each measurement point; performing an object modeling through the rotary laser scan data analysis by combining with the road information acquired by the sensor unit based on the calculated straight section, circular curvilinear section and easement curvilinear section by each location of the vehicle, a length of the section, and the radius of curvature; and mapping the road based on the object modeling result according to the designed mapping regulation.

Description

[0001] The present invention relates to an automatic road mapping method using road data,

(Global Positioning System), an IMU (Inertial Measurement Unit), a camera, a laser, and the like, which are attached to moving means for road investigation The present invention relates to a method of automatically producing drawings of a road surface, a cross section, and a road map of a road using actual data of the road facilities using the road data.

It is very important to accurately grasp road geometry information for the purpose of efficient use of the land. And so far, most of the road geometry information has been analyzed by using the drawings in conducting national and international road safety analysis studies.

However, there are no drawings on all roads at present, and the rate of computerization of roads in Korea is about 70% at present. Most of the roads do not have drawings in local roads. Also, there may be a case where the geometrical information of the road and the actual road are different due to the improvement of the road alignment or the overlay construction in the section where the drawings exist.

Therefore, if there is no drawing on the road, the direct surveyor must go to the road site to obtain the road linear information on site. Then, the road drawing process is performed based on the acquired information. Route surveying method and aerial photographing method using total station or GPS are used as the conventional method for drawing the road, but it is difficult to perform drawing work on all roads because of cost and time difficulties.

In this way, it is costly and effortful to re-order surveying services for the sections without drawings and to make drawings for the road register.

In recent years, studies using a mobile mapping system (MMS) for measuring various sensors attached to a vehicle have been actively conducted in order to automate detailing.

However, the MMS system uses an expensive commercial laser system, stores a point cloud having a large data capacity, and performs a vectorizing operation by using it as a post-processing after manual operation, which is costly and time consuming . In addition, the MMS system can not automatically map roads to a level that confirms the linearity of roads, or simply the location and type of road facilities. In other words, the task of updating and detailing the location of the road facilities using the MMS vehicle integrates related sensors such as position measurement related sensors, laser sensors, synchronization sensors, etc., and automatically acquires data, With the process occurring, automation is virtually difficult with current technology. Therefore, it is necessary to carry out a lot of studies on the automatic drawing system of roads.

SUMMARY OF THE INVENTION Accordingly, the present invention has been made in order to solve the above-mentioned problems, and it is an object of the present invention to provide a method of automatically acquiring actual data measured using a laser in the process of drawing a road shape, .

It is another object of the present invention to provide a method of automatically storing and linearizing necessary road width data together with a position using a laser sensor, and automatically drawing such data.

It is another object of the present invention to provide a method of automatically acquiring the position and type of a road width and a center separator, a guard rail, a road sign, and the like, and operating the CAD on the basis of CAD.

According to another aspect of the present invention, there is provided a method of automatically drawing a road using actual measurement data according to the present invention, comprising the steps of: (A) (B) extracting a plane linear shape, a longitudinal gradient, and a transverse gradient of the road using the acquired vehicle position information and vehicle attitude information, A step of dividing the shape of the slope and the transverse slope into a straight line and a curved line section; and (C) a step of dividing the noise-removed measured value by the vehicle position information measured at each unit distance, , A straight line segment classified by using a noise-removed measurement value for the measurement target road, a vehicle hardness coordinate value at each measurement point, and a vehicle latitude coordinate value, and a straight line segment according to the curve segment Calculating a length of a curved section, a curved section of the curved section and a curved section of the curved section and a radius of curvature of the curved section, (D) calculating a linear section, a curved section, Performing object modeling based on rotational laser scan data analysis in combination with the road information acquired through the sensor unit based on the length and the radius of curvature of each section, And the step of drawing the road is carried out according to the specification of the drawing.

Preferably, in the step (A), the central line of the road is generated by synchronizing the coordinates using bidirectional one-way data traveling both uphill and downhill, and the coordinates to the left and right boundaries are calculated while extracting the center line of the generated road And the measured road width is acquired.

Preferably, in the step (A), a heading value measured at each measurement point is acquired as vehicle attitude information for each measurement distance unit through the sensor unit during driving.

Preferably, the step (A) is a step of acquiring, as vehicle position information, the hardness coordinate value and the latitude coordinate value of the vehicle measured at each measurement point for each measurement distance unit in the course of travel of the vehicle.

Preferably, the step (B) extracts a plane linear shape of the road using a heading value of the vehicle, extracts an end slope of the road using the ellipsoid height among the vehicle position information, roll value of the road is used to extract the cross slope of the road.

Preferably, the step (B) includes the steps of: (B1) removing noise by using the moving average value from the positional information of the acquired vehicle or the attitude information of the vehicle; (B2) And judging a straight line and a curved line based on a predefined standard deviation in the information.

Preferably, the moving average value is determined by setting the number of measured values as a span, and calculating the moving average value by each measurement value for the span.

Preferably, the step (B2) includes comparing a heading value with which the noise is removed to a heading standard deviation, and if the heading standard deviation is less than or equal to the heading standard deviation, the curve is determined as a straight line.

Preferably, the step (B2) includes the steps of: comparing an end slope calculated using the ellipsoid height of the noise-removed GPS data with a standard deviation of an end slope; and if the standard deviation is less than or equal to the standard deviation of the end slope, , And if it is larger than the standard deviation, it is determined as a curved portion.

Preferably, the step (B2) includes the steps of: comparing a transverse gradient calculated using the noise-removed roll value with a standard deviation of a transverse gradient; and if the standard deviation is less than or equal to the standard deviation of the transverse gradient, And if it is larger, it is judged as a curved portion.

Preferably, the step (C) further comprises the step of dividing the curve section into a curved section and a relaxation curve section to obtain a curvature radius.

Preferably, the step (E) is a longitudinal plan view and a cross-sectional view of a predetermined distance unit.

Preferably, the step (E) includes the steps of: (E1) determining whether the range of the road linearity is out of the range; and (E2) if the range of the road linearity is out of the range, cutting the cut point at a cut point, and attaching the cut point to one of the cut points.

Preferably, the step (E1) includes the steps of: obtaining dY, which is a width in a direction of a cut section of a road center line, and dX in a direction perpendicular thereto, and a step of obtaining dY and dX, And determining that the drawing of the road is out of the range of the curve if at least one of dY > X and dX > Y is satisfied.

Preferably, the road information includes a road width, a median separator, a guard rail, and a position and type of a road sign.

As described above, the method of automatic road drawing using actual measurement data according to the present invention has the following effects.

First, in the case of a road without drawings, it is possible to easily produce a road drawing only by running a road survey vehicle, and it is possible to easily design a road that does not have a current drawing, thus enabling efficient use of the land including maintenance of the road.

Second, using the actual data obtained through actual measurements, road managers can be used as basic data for safety inspection of road traffic, and can be used as basic data for planning and maintenance of roads.

Third, only necessary road width data is automatically stored and linearized while moving through a low-priced laser sensor attached to a moving means for road investigation (hereinafter referred to as 'vehicle'), It is possible to drastically reduce the time and cost incurred in the detailing work.

FIG. 1 is a view showing an embodiment of a moving means for traveling on a road for road automatic drawing using measured data according to the invention
Fig. 2 is an explanatory view showing an acquisition screen showing data of the road width acquired from the sensor unit of Fig.
Fig. 3 is a diagram showing a CAD drawing menu and a function for road automatic drawing using actual measurement data according to the invention
4 is a flowchart for explaining a road automatic drawing method using actual measurement data according to an embodiment of the present invention.
FIG. 5 is a flowchart for explaining a method of dividing a curve section divided in FIG. 4 into a circular curve section and a relaxation curve section
Fig. 6 is a longitudinal sectional view of a road made as a result of the drawing according to the present invention
7 is a cross-sectional view of a road made as a result of the drawing according to the present invention
8 is a conceptual diagram for determining whether the road section is out of the way

Other objects, features and advantages of the present invention will become apparent from the detailed description of the embodiments with reference to the accompanying drawings.

A preferred embodiment of a road automatic detailing method using actual measurement data according to the present invention will be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. It is provided to let you know. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.

Fig. 1 is an embodiment of a moving means for driving a road for automatic road drawing using actual data according to the invention.

(Not shown) attached to the vehicle 10 and photographing the periphery of the road as shown in Fig. 1, a camera 10 attached to the vehicle 10 for measuring information about the road And a sensor unit 20. For reference, information on roads includes locations and types of road widths and median separators, guard rails, and road signs.

At this time, the sensor unit 20 includes a position acquisition sensor unit for acquiring the position of the road and the posture of the vehicle on which the vehicle travels via GPS, IMU, etc., And a synchronization unit for synchronizing an image at a shooting time point of the image photographed through the camera unit with coordinates at the time of shooting through a real time module, a DMI sensor, or the like. Fig. 2 is an acquisition screen showing data of the road width acquired by the sensor unit of Fig. 1, and includes road width information, current time, position, vehicle posture, and road image information.

The road width measurement sensor unit in the sensor unit 20 is constituted by a laser sensor, and is configured to protrude and measure only at the time of measurement. The laser sensors are installed on the left and right sides of the rear surface of the vehicle, respectively, and measure a scan area of 180 degrees with about five sections per second. Generally, a laser point cloud is a large capacity of several tens of gigabytes for one hour, but it is possible to store 3MB / km of the required data only with the location information and discard the rest. The measured road width was analyzed by the pattern of the scanner to measure the curb, guardrail, and median of the road. In the present invention, considering the height of the curb, when there is a step of 20 cm or more, or when there is a sudden downward slope, it is recognized as the boundary of the road width.

In addition, the position acquisition sensor unit can perform data logging of 200 Hz, and can precisely log positional information every 1 m in real time without using any special post-processing by using a trigger signal of a vehicle distance meter (DMI; Distance Measurement Instrument). The satellite based augmentation system (SBAS) was used to correct the position of the GPS and the measurement of RMSE (Root Mean Square Error) within 1m was possible in real time.

As described above, according to the present invention, the roads are drawn using actual measurement data obtained by running the vehicle 10 equipped with the sensor unit 20 capable of measuring information on the road alignment on the actual measurement target road.

FIG. 4 is a flowchart for explaining a road automatic detailing method using actual measurement data according to an embodiment of the present invention.

Referring to FIG. 4, first, a posture of a vehicle, a position of a road and road information are acquired through a camera unit and a sensor unit installed on a moving means (hereinafter referred to as a 'vehicle') running on the road (S10). At this time, the road information includes the position and kind of the road width and the center separator, the guard rail, the road sign, and the like.

In the method for measuring the road width, taking into consideration that only the right lane can be used for a vehicle that is traveling, both the up and down directions are run and the two-way one way data are used for the measurement. Then, the center line of the road is generated through synchronization of the coordinates through the synchronization unit, and the center line of 1m is extracted from the generated center line, and the coordinates to the left and right boundaries are calculated to measure the entire road width.

The method of measuring the attitude of the vehicle continuously collects information on the heading, roll, and pitch generated in the vehicle while the vehicle is running through the sensor unit installed in the vehicle. For reference, when three mutually orthogonal axes (x, y, z) are assumed on a vehicle, a roll is referred to as being rotated around the x-axis extending in the direction of travel of the vehicle at the center of the vehicle, It is referred to as " pitch ", which rotates around a y-axis orthogonal to each other in the same plane as the x-axis of rolling, and a head that rotates about a vertical z-axis with respect to both the x- do.

Among these vehicle attitude information, particularly, the heading can be very usefully utilized. As mentioned above, the heading rotates around the z-axis and indicates that the vehicle is moving left and right as it travels. Quot; H value ") can be represented by an angle value measured based on the north-north direction. For example, if the H value for the vehicle is 185 degrees, it means that the running direction of the vehicle is 185 degrees clockwise from the north side with respect to the z axis. If the H value is not changed while the vehicle is traveling, the vehicle is traveling straight. If the measured H value is different for each unit of measurement, the vehicle travels left or right. That is, if the obtained H value per unit of measurement distance is changed in the form of sequentially increasing to 185 degrees, 186 degrees and 187 degrees, it can be judged that the vehicle is turning right in the traveling direction, and conversely, 187 degrees, 186 degrees and 185 degrees, it can be judged that the vehicle is turning left in the running direction. In particular, if the H value increases or decreases but the difference between the obtained H values for each measurement distance unit is constant, the vehicle will run on the "curved section", and if the rate of change of the H value increases, A relaxation curve section in which the curvature in the planar linear shape decreases and a decrease in the H value can be judged to run in the " relaxation curve section " in which the curvature gradually increases in the plane linearity of the road have. As described above, the H value of the vehicle is acquired as the vehicle attitude information at each measurement point for each measurement distance unit in the process of traveling the vehicle.

The method for measuring the position of the vehicle acquires, as the vehicle position information, the hardness coordinate value and the latitude coordinate value of the vehicle measured at each measurement point for each measurement distance unit in the process of traveling the vehicle.

Next, the shape of the horizontal line, the end slope, and the slope of the road are divided into the straight line and the curve line by extracting the plane linear shape, the longitudinal slope and the transverse slope of the road using the vehicle position information and the vehicle attitude information ). At this time, the plane linear shape of the road is extracted by using the heading value of the vehicle attitude information, and the longitudinal slope of the road is extracted by using the ellipsoidal height among the position information of the vehicle, and the transverse slope of the road is a roll ) Values.

On the other hand, in order to extract the plane linear shape, the end slope, and the slope of the road, the noise should be removed using the moving average value from the positional information of the acquired vehicle or the attitude information of the vehicle. That is, the positional information of the vehicle or the attitude information of the vehicle may be changed due to the change of the vehicle, the avoidance of the driver due to the roadside obstacle, or the meandering motion that occurs while the driver is not aware. For this reason, it is necessary to perform an operation of removing abnormal noise from the acquired position information of the vehicle or the attitude information of the vehicle. Therefore, when the noise removal operation is performed, a smoothing operation is performed to change the graph of the pointed shape to a smooth graph when the value of the measured vehicle position information or the vehicle attitude information is plotted as a graph, It is possible to more accurately determine the plane linearity, the terminal slope, and the transverse slope of the road.

In the present invention, a smoothing operation is performed on a measured value by obtaining a moving average. Specifically, the number of measurement values to be subjected to the smoothing operation is determined as " span ", and a moving average value for each measured value is obtained for the span. In this way, the graph drawn as the moving average value of the measured value becomes a smoother curve than the graph obtained by the measured value before the smoothing operation.

In one embodiment, the moving average value of the head value (hereinafter, referred to as 'H value') of the measured values is obtained by the following equation (1). Where span is an odd integer value.

은 H_n의 이동평균값을 의미한다.In the above equation (1), H denotes the measured H value, H _n denotes the n-th H value, span denotes the span described above, and is an odd integer value. It is an integer rounded down,

Means the moving average value of H _n .

For example, if the measurement target road is divided into n sections, the H values measured at the beginning of each section are H ₀ , H ₁ , H ₂ , H _{3 ,.} , H _n . If the span is set to 5, the moving average value can be expressed by the following Equations (2) to (6), respectively.

In this way, when the moving average value of H value is obtained and the smoothing operation is performed, noise can be removed more effectively as the span becomes larger. Thus, the moving average value graph is less irregular than the initial H value graph, However, there is a problem that the characteristic of the H value which was measured at the beginning is not displayed well. For example, the measured H values are 18 in total and the H values are 1, 3, 5, 7, 9,7,5, 3, 1, 1, 3, 5, 7, 9, 3, and 1, the moving average is calculated by setting the span to 9, and when the H values are 1, 3, 5, and 7 respectively, the moving average value is changed to 4.6, which is significantly different from the H value .

In performing the smoothing operation for obtaining the moving average value from the measured values and removing the noise, it is necessary to determine an appropriate value of the span used for calculating the moving average value. In determining the appropriate span, in the present invention, .

These standard deviations are based on whether the measured value is viewed as abnormal noise or as an appropriate measurement value. For reference, the standard deviation is a value defined in advance by the administrator. The standard deviation of the H value is defined as 0.025, the standard deviation of the end slope is defined as 0.1, and the standard deviation of the slope is defined as 0.06 .

The standard deviation thus defined is compared with the measured value. If the standard deviation is smaller than the standard deviation, it is determined to be a straight line. If the standard deviation is larger than the standard deviation, the curve is judged. That is, the heading value obtained by removing the noise is compared with the heading standard deviation, and if it is equal to or smaller than the heading standard deviation of the comparison result, the straight line section is determined. Also, if the standard deviation of the terminal slope is compared with the standard deviation of the terminal slope calculated by using the ellipsoid height of the noise-removed GPS data, if the standard deviation is less than or equal to the standard deviation of the terminal slope, . In addition, the cross slope calculated by using the noise-removed roll value is compared with the standard deviation of the transverse slope. When the comparison result is equal to or smaller than the standard deviation of the transverse slope, the straight slope is determined.

Accordingly, in the present invention, it is determined whether each section corresponding to the measurement distance unit is a straight line section or a curved section by using measured values (heading value, ellipsoid height, and roll value) This makes it possible to distinguish the shape of the plane line, the end slope, and the slope of the road from the entire measurement target road to the straight line and the curve section.

Next, after the noise is eliminated for the heading value, the ellipsoid height and the roll value, the noise-removed measurement value is calculated from the vehicle position information measured for each measurement unit distance using a linear coordinate system using the vehicle's longitude coordinate value and the vehicle's latitude coordinate value (S30). That is to say, the length of the straight line segment, the length of the curve segment, and the length of the straight line segment classified by using the noise-removed measurement values for the measurement target road, the vehicle hardness coordinate value and the vehicle latitude coordinate value at each measurement point, Classification of the curved and relaxation curve segments of the curve segments and the radius of curvature of the segments of the curve segments are obtained.

In this case, the length of the straight line section is calculated by multiplying the total length of the straight section, that is, the number of sections determined as the straight section by the measurement distance unit, or the whole section determined as the straight section, By summing the measurement distance units, the length of the straight line segment can be known. Also for the curve section, the length of the curve section can be determined by multiplying the number of sections determined as the curve section by the measurement distance unit.

In the present invention, the curved section can be further subdivided into the curved section and the relaxed curved section through the following procedure, and the curvature radius of the curved section can be known.

The curve section consists of a circle curve and a relaxation curve. The relaxation curve is a section installed so that the driver can easily adapt when the vehicle enters the circle curve section corresponding to the circumference of the circle in the straight section, Curve-circle curve-relaxation curve. That is, a relaxation curve exists before and after the circle curve corresponding to the complete circle circumference. In addition, the curve section is located between two straight line sections. Therefore, when two straight line segments and two curved line segments are shown on a plane, when two straight line segments extending before and after the curve segment are extended, an intersection point (IP) where two straight line segments intersect exists. The curved section is divided into a circular curve section and a relaxation curve, and the length of the circular section and the radius of curvature of the circular section are obtained.

5 is a flowchart for explaining a method of dividing a curve section into a circle curve section and a relaxation curve section. Specifically, in the vehicle position information for each measurement unit distance obtained by running the vehicle with respect to the measurement target road, (X _n ) and the latitude coordinate value (Y _n ) at the measurement point for each measurement point are known, a regression equation of the linear equation is obtained for each of the straight line sections existing before and after the curve section with respect to the measurement target road (S101). In this case, since the curved section is located between the straight sections, the straight section existing before the curved section starts is defined as the first straight line in the state where the plane linear shape of the measurement target road is formed in the order of the straight section, And a straight line section in which a curved section is present is referred to as a second straight line section. Then, the linear equation of the first straight line section is obtained by the regression equation using the hardness coordinate value (X _n ) and the latitude coordinate value (Y _n ) of the vehicle measured for each measurement distance unit for the first straight line section, Likewise, the linear equation of the second straight line section is obtained for the section.

If the straight line equation of the first straight line section and the straight line equation of the second straight line section are found through step S101, the point at which the extension line of the two first straight line sections and the extension line of the second straight line section intersect is the intersection IP, And the hardness coordinate value X ₁ and the latitude coordinate value Y ₁ of the intersection IP with respect to the first straight line section and the second straight line section with respect to the measurement target road are obtained at step S 102. In step S103, three measurement points are extracted from the measurement points determined as the curve sections through the planar linear analysis operation among the measurement points for each measurement unit distance of the measurement target road obtained in the running process of the road. At this time, it is preferable that the three measurement points are extracted to be closest to the intersection IP obtained in step S302.

Generally, when three coordinate values of the longitude and latitude coordinates are known, the hardness coordinate value and latitude coordinate value of the center of the circle passing through three points can be known. therefore

(X _m ) with respect to a center point of a circle passing through all three measurement points, by using the hardness coordinate value and the latitude coordinate value of the three measurement points extracted in step S103 using the following equations (7) and (8) And the latitude coordinate value Y _m (S104).

In (7) and equation (8) above, X _a and Y _a is through a horizontal alignment analysis from the measurement point of the measurement for each target road measurement unit distance obtained in the running process of the road extracted from the measurement points is determined as a curve section 3, respectively longitude coordinates for a single measurement point of the two measurement points is a value (X _a) and latitude coordinate values (Y _a). X _b and Y _b (X _b ) and latitude coordinate value (Y _b ) for another point out of three measurement points, and X _c and Y _c (X _c ) and the latitude coordinate value (Y _c ) for the other one of the three measurement points, respectively.

, 또는

의 3개 중 어느 한 점 사이의 거리를 계산함으로써, 상기 S105단계를 통해 산출된 경도좌표값(X_m)과 위도좌표값(Y_m)을 원의 중심으로 하고, 도로의 주행 과정에서 취득한 측정대상 도로의 측정단위거리 마다의 측정점 중에서 평면선형분석 작업을 통해 곡선구간으로 판정된 측정점에서 추출된 3개의 측정점을 지나는 원의 반지름 R을 산출한다(S105).The hardness coordinate value (X _m ) and the latitude coordinate value (Y _m ) of the center point of the circle calculated in step S104,

, or

By the calculation of the distance between two of the one point, the longitude coordinate values (X _m) and latitude coordinate (Y _m) are calculated through the S105 step to the center of the circle, and the measurement obtained in the running process of the road The radius R of the circle passing through the three measurement points extracted from the measurement point determined as the curve section is calculated from the measurement points per unit distance of the target road (S105).

을 각각 연산한다(S107).Subsequently, the longitude coordinate values (X _m) and latitude coordinate (Y _m) to have the horizontal alignment analysis from the measurement point of the measurement unit for each distance of the object to be measured road obtained in the running process of the road from the center of the circle is calculated through the S104 step The distance to the remaining measurement point determined as the curve section is calculated through operation (S106). If the calculated distance is expressed as OP, the distance OP between each of the points calculated in step S106 and the difference between the calculated radius R

Respectively (S107).

의 평균값을 연산한다(S108). 이와 같이 상기 S108단계를 통해 연산된

의 평균값을 미리 정한 기준 반경오차 임계값과 비교하여(S109), 원곡선 구간인지 아니면 완화곡선 구간인지를 판단하게 된다. 즉, 상기 S107단계를 통해 연산된

의 평균값이 미리 정한 기준 반경오차 임계값 이하인 경우에는 오차가 적은 것이므로 원곡선 구간으로 판정하게 된다(S110). 그리고 만일 상기 S107단계를 통해 연산된

의 평균값이 미리 정한 기준 반경오차 임계값을 초과하게 되면 완화곡선 구간으로 판정하게 된다(S111).And a measurement point for each measurement unit distance of the road to be measured obtained in the course of running of the road. A point closest to the intersection IP obtained through the above-described step S102,

(S108). As described above,

(S109), and determines whether it is a circular curve section or a relaxation curve section. That is, in step S107,

Is smaller than a predetermined reference radial error threshold value, it is determined to be a circular curve section because the error is small (S110). If it is determined in step S107 that

Is determined as the relaxation curve section (S111).

According to the present invention, the curved section can be divided into a curved section and a relaxation curved section, and the length of the curved section is known. The radius of curvature of the curved section, that is, the radius of the circle obtained in step S105 R can be known by the radius of curvature of the circular curve section. The length of the circle curve section can be calculated by summing all of the measurement unit distances determined as the circle curve section.

Then, based on the calculated straight line section, circle curve section, relaxation curve section, length of each section, and radius of curvature of each vehicle position, it is combined with the road information acquired through the sensor section 20, (S40). ≪ / RTI > At this time, the road information includes a median separator, a guardrail, a traffic sign, etc. along with a road width using a laser and a camera, and at least one of the additional information is modeled by combining the additional information in the object modeling process do.

In step S50, the road modeling process is automatically performed according to the designation rules of the object modeling performed. The drawings prepared at this time are prepared with a longitudinal plan view for every 50 m and a transverse view for every 20 m. In the present invention, coordinate conversion of WGS84 coordinate system of GPS directly to TM central coordinate system of GRS80 is performed directly on a CAD (CAD) using a dynamic link library (DLL) using an open source program called Proj. So that coordinate system conversion can be performed collectively on the proj.

Through such a process, files such as linear information, termination information, and facility information are designated, and detailed plan drawings such as a longitudinal plan view and a transverse diagram are executed to automatically create a longitudinal plan view and a transverse diagram as shown in Figs. 6 and 7 do.

FIG. 8 is a process for determining whether a road shape of a predetermined section enters a road by cutting a figure by a predetermined distance unit.

Referring to FIG. 8, if a 500-meter-wide drawing is produced, a 500-m-long section from 500 to 1000 is cut out to generate a 500-meter-wide drawing. When the range of the road- do. At this time, as shown in Equation (9), it is possible to obtain dY, which is the width in the direction of the cut section of the road center line, and dX in the direction perpendicular thereto, as shown in Equation (9) Is larger than Y, which is the vertical scale length.

If the above condition is satisfied, the drawing is cut out at the cut point at the point where the drawing is out of the drawing and the drawing is made to be in a drawing.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be apparent to those skilled in the art that various modifications may be made without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

Claims (15)

(A) acquiring a posture of a vehicle, a position of a road and road information through a sensor unit provided on a moving means (hereinafter referred to as " vehicle "
(B) extracting a plane linear shape, a longitudinal gradient, and a transverse gradient of the road using the acquired vehicle position information and vehicle attitude information to calculate a shape of the road's plane linear, longitudinal, and transverse inclined, ; And
(C) a noise-removed measurement value, which is obtained by removing noise from the measurement target road by using the vehicle's longitude coordinate value and the vehicle's latitude coordinate value from the vehicle position information measured at each measurement unit distance, The length of a straight line segment according to a straight line segment and a curve segment classified using the vehicle hardness coordinate value and the vehicle latitude coordinate value, the length of the curve segment, the classification of the circle curve segment and the relaxation curve segment and the curvature Calculating a radius,
(D) Based on the calculated straight line section, the curved line section, the relaxation curve section, the length of each section, and the radius of curvature of each vehicle position, the road information acquired through the sensor section is combined with the object Performing modeling,
(E) a step of drawing the road according to the designation specification of the object modeling result, the road modeling being performed; and (E) the road automation detailing method using the actual measurement data. The method of claim 1, wherein the step (A)
The center line of the road is generated through synchronization of coordinates using bidirectional one-way data traveling both uphill and downhill, and the coordinates to the left and right boundaries are calculated while extracting the center line of the generated road to obtain the measured road width A method of road automatic documentation using actual data. The method of claim 1, wherein the step (A)
And a heading value measured at each measurement point is acquired as vehicle attitude information for each measurement distance unit through the sensor unit during traveling. The method of claim 1, wherein the step (A)
And a road coordinate value and a latitude coordinate value of the vehicle measured at each measurement point for each measurement distance unit in the course of traveling of the vehicle are acquired as vehicle position information. 2. The method of claim 1, wherein step (B)
A road surface linearity is extracted by using the heading value of the vehicle attitude information. Extracting the slope of the road by using the ellipsoid height among the vehicle position information is performed. Using the roll value of the vehicle attitude information, A method of road automatization using measured data, characterized in that a transverse gradient is extracted. 6. The method of claim 5, wherein step (B)
(B1) removing noise by using the moving average value from the acquired position information of the vehicle or the attitude information of the vehicle;
(B2) judging a straight line and a curved line portion based on a predefined standard deviation in the position information of the vehicle from which noises are removed or the posture information of the vehicle. The method according to claim 6,
Wherein the moving average value is determined by determining a number of measured values as a span and is calculated by each measurement value for the span. 7. The method of claim 6, wherein step (B2)
Comparing the noise-removed heading value with a heading standard deviation;
And if the heading standard deviation is equal to or smaller than the heading standard deviation, it is determined to be a straight line section, and if it is larger than the standard deviation, the curve section is determined. 7. The method of claim 6, wherein step (B2)
Comparing an end slope calculated using the ellipsoid height of the noise-removed GPS data with a standard deviation of an end slope,
Wherein the curve is determined to be a straight line if the comparison result is equal to or smaller than the standard deviation of the terminal slope and a curve if the standard deviation is greater than the standard deviation. 7. The method of claim 6, wherein step (B2)
Comparing the transverse slope calculated using the noise-removed roll value with the standard deviation of the transverse slope,
Wherein the curve is judged to be a straight line if the comparison result is equal to or smaller than the standard deviation of the transverse gradient and a curve if the standard deviation is larger than the standard deviation. The method according to claim 1,
Wherein the step (C) further comprises the step of dividing the curve section into a curved section and a relaxation curve section to obtain a curvature radius. The method according to claim 1,
Wherein the step (E) is a longitudinal plan view and a cross-sectional view of a predetermined distance unit. 13. The method of claim 12, wherein step (E)
(E1) judging whether the range of the road linear shape deviates from the curve;
(E2) Cutting the figure at a cut point at a point where it meets the curve when the range of the road linear shape deviates from the curve as a result of the determination, and attaching the cut line to a viewpoint Automatic scheduling method. 14. The method of claim 13, wherein the step (E1)
A step of obtaining dY, which is a width in the direction of the cut section of the unit section of the road center line, and dX in the direction perpendicular thereto,
Comparing the obtained dY and dX with a horizontal accumulation length X and a vertical accumulation length Y,
And determining that the drawing of the road is out of the range of the road if dY> X and dX> Y as a result of the comparison. The method according to claim 1,
Wherein the road information includes a road width, a median separator, a guard rail, and a position and type of a road sign.

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