KR101541030B1 - A measurement target for wheel alignment to prevent disturbance, a measurement system using the target and measuring method of the same - Google Patents

A measurement target for wheel alignment to prevent disturbance, a measurement system using the target and measuring method of the same Download PDF

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Publication number
KR101541030B1
KR101541030B1 KR1020150079129A KR20150079129A KR101541030B1 KR 101541030 B1 KR101541030 B1 KR 101541030B1 KR 1020150079129 A KR1020150079129 A KR 1020150079129A KR 20150079129 A KR20150079129 A KR 20150079129A KR 101541030 B1 KR101541030 B1 KR 101541030B1
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South Korea
Prior art keywords
pattern
target
wheel alignment
center
blob
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KR1020150079129A
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Korean (ko)
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김영호
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삼홍엔지니어링 주식회사
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques

Abstract

The present invention relates to a wheel alignment measuring target to prevent disturbance, and a measuring system and a method using the same and, more specifically, to a wheel alignment measuring target to prevent disturbance, and a measuring system and a method using the same to form a reference pattern and a blob pattern on a wheel alignment measuring target, wherein the reference pattern acts as a criterion to identify a disturbance pattern which is picked up outside a pattern measuring region during the measurement of the wheel alignment.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a wheel alignment measurement target for eliminating disturbance, a measurement system using the target, and a measurement method using the same.

The present invention relates to a target for measuring wheel alignment for disturbance exclusion, a measurement system using the target, and a method of measuring the same. More particularly, the present invention relates to a target for wheel alignment measurement, The present invention relates to a target for measuring a wheel alignment, a measurement system using the same, and a measurement method thereof, which are used as a reference for distinguishing disturbance patterns captured outside a pattern measurement area in alignment measurement.

The vehicle wheel is installed on the axle at a specific angle geometrically, taking into account the drivability, safety, and maneuverability. The geometric relationship with the position of the wheel is thus referred to as a wheel alignment element.

The wheel alignment elements include various types of toe, camber, caster, etc., and each element is adjusted to a predetermined value according to the vehicle type.

The camber is the angle between the center line of the wheel and the vertical line. It is an element that affects tire wear and steering effort. It makes the tire contact point close to the load point and makes it easy to load by allowing the load to be loaded on the internal wheel bearings and spindles. Camber also has a direct relationship with tire wear. When an excessive camber is given, the inner and outer diameters of the tire change. When traveling in this state, the small diameter side slides on the road to become equal to the rotation speed on the large diameter side, and the wear of the tire increases.

The toe is the difference in distance between the left and right wheels measured at the front and rear ends of the tire centerline when the wheel is viewed from above. Since the camber angles are symmetrical with the wheels aligned, the toe is also set to offset the forces that the wheels will roll to the side by gathering the left and right wheels forward at the same angle.

The caster is the angle at which the steering shaft of the front wheel moves forward or backward with respect to the vertical line of the ground when the wheel is viewed from the side. When the caster is enlarged, the straight stability is improved during high-speed travel. However, when the caster is large, the reaction force against the direction change becomes large, resulting in delayed response, heavy steering operation, and vibration due to impact on the road surface. Conversely, if the caster is too small, it is possible to change the direction sensitively when turning, but when traveling at high speed, the straightness and stability will be reduced and the running will become unstable.

Conventionally, a method using a CCD image sensor has been used to measure a wheel alignment element that has a great influence on the driving performance and safety. However, in the case of a CCD image sensor, the price is high and the accurate measurement of the wheel alignment element There was a difficulty.

In order to solve this problem, a three-dimensional camera method for measuring wheel alignment elements has been recently used. In this method, the target is mounted on the front wheel and the rear wheel, and then the target is photographed by the camera. Then, the pattern of the target captured by the computer is analyzed to obtain the three-dimensional position information of the wheel.

However, when the target is measured by such a three-dimensional camera method, not only the normal pattern but also the pattern due to the disturbance are also picked up due to the interference by light and the body reflection, and it is difficult to measure the accurate wheel alignment element.

Korean Patent Publication No. 2009-0086933 Korean Patent Registration No. 10-0367124

SUMMARY OF THE INVENTION The present invention has been made to solve the problems described above, and it is an object of the present invention to provide a target for wheel alignment measurement in which a reference pattern is formed on the boundary line of a pattern measurement area of a target for wheel alignment measurement and a measurement error due to the captured disturbance pattern is reduced .

It is another object of the present invention to provide a disturbance pattern and a reference pattern shape that can be easily distinguished, thereby improving the accuracy of wheel alignment measurement.

It is another object of the present invention to provide a wheel alignment measurement method using a disturbance prevention target.

Another object of the present invention is to provide a criterion for optimum design of a disturbance prevention pattern and to facilitate detailed design of a target design parameter.

In order to solve the above problem, the target for measuring wheel alignment for disturbance elimination according to the present invention is a target 40 used for wheel alignment measurement. The target 40 is formed on a target 40 to be photographed, A donut-shaped reference pattern 10 defining a pattern measurement area 30 for providing data; And a blob pattern 20 (blob pattern) formed on the boundary and inside the rectangular pattern measurement area 30 defined by the reference pattern 10 to provide three-dimensional position information of the target 40 The reference pattern 10 is positioned such that a right triangle is formed when the centers of three donut-shaped reference patterns 10 are linearly connected to each other, and a blob pattern 20 are located on the same axis as the center of the reference pattern 10 and the pattern measurement area 30 on the quadrangle forms a straight line extending from the center of each reference pattern 10 via the center of the coaxial blob pattern 20 The reference pattern 10 is formed on the outer side of the pattern measurement area 30 in the wheel alignment measurement by recognizing the rectangular shape formed by intersecting each straight line L as a pattern measurement area, Disturbance In that the criteria to distinguish between a turn characterized in that it provides for a wheel alignment measurement target.

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Further, the target is mounted on the left and right front wheels and the right and left rear wheels, respectively, and the target mounted on the rear wheel is larger than the target mounted on the front wheels

Further, the blob pattern is a circular shape.

Further, the number of the blobs, the diameter of the blobs, and the distances between the centers of neighboring blobs are set so that the captured neighboring blob patterns do not overlap.

Further, the present invention is a wheel alignment measurement system including the target for wheel alignment measurement, comprising: a camera; A light emitter for providing a light source to the camera; A clamp for fixing the target to the wheel; A transmission module for transmitting wheel alignment measurement data photographed by the camera; A receiving module for receiving wheel alignment data transmitted from the transmitting module; Further comprising a calculation module for receiving wheel alignment data from the reception module and calculating a wheel alignment element of a tow, a camber, and the like.

The wheel alignment measurement method using the target for wheel alignment measurement may further comprise: recognizing a reference pattern from the photographed image of the target; Defining a pattern measurement area from the recognized reference pattern; Recognizing a blob pattern imaged within a boundary of the pattern measurement area and inside the pattern measurement area; Calculating a center for each of the recognized plurality of blob patterns; Calculating a center of the target from the center of the calculated plurality of blobs; And calculating a wheel alignment element from the center coordinates of the target mounted on the right and left front wheels and the left and right rear wheels and the reference coordinates of the camera.

Further, the present invention is characterized in that the step of calculating the center of the blob pattern shows a rectangle surrounding the elliptical shape, which is an image of the blob pattern, and calculating the coordinates of a point where the bisector of each side intersects to obtain the center of the blob pattern .

The present invention has the effect of reducing the measurement error due to the captured disturbance pattern by forming the reference pattern (10) on the pattern measurement area boundary line of the target for wheel alignment measurement.

Further, the present invention provides a shape of the reference pattern 10 that is easy to distinguish from the disturbance pattern, thereby improving the accuracy of wheel alignment measurement.

Further, the present invention provides a wheel alignment measurement method using a disturbance prevention target, and has an effect of reducing a measurement error due to a disturbance pattern in wheel alignment measurement.

Further, the present invention has the effect of facilitating the detailed design of the design parameters of the target by presenting the criteria for the optimum design of the disturbance preventing pattern.

The above and other objects, features and advantages of the present invention will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG.

1 is a block diagram of a wheel alignment measurement system according to the present invention;
2 is a perspective view of a target according to the present invention.
3 is a plan view of a front wheel target pattern according to the present invention.
4 is a plan view of a rear wheel target pattern according to the present invention.
5 is a conceptual diagram illustrating blob center measurement according to the present invention.
6 is a view showing the center of a blob and a front wheel target pattern for wheel alignment measurement according to the present invention
7 is a view showing an actual measurement screen and measurement values using the wheel alignment measurement system according to the present invention.
8 is a flowchart of a wheel alignment measurement method using a disturbance prevention target according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

It is to be understood that the present invention is not limited to the disclosed embodiments, but may 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, It is provided to inform.

1 is a block diagram of a wheel alignment measurement system according to the present invention. The wheel alignment measurement system according to the present invention comprises a camera (50); A light emitter 60 for providing a light source to the camera 50; A clamp (70) for securing the target (40) to the wheel; A transmission module (80) for transmitting an image of the target (40) photographed by the camera (50); A receiving module (90) for receiving the image of the target (40) transmitted from the transmitting module (80); A calculation module 100 for receiving an image of the target 40 from the reception module 90 and computing a wheel alignment element such as a tow, a camber, and the like; A display module 110 for displaying wheel alignment elements such as a tow, a camber, etc., coordinates of each target 40 calculated by the calculation module 100, and the like.

For the measurement of wheel alignment, the vehicle is typically placed on a test bed of the lift. The target 40 is fixed to the left and right front wheels and the left and right rear wheels with the clamp 70. The camera 50 photographs the target 40 mounted on each wheel in a state in which the light is provided by the light emitter 60. The image captured by the camera 50 is transmitted to the receiving module 90 through the transmitting module 80. [ At this time, various transmission methods such as Bluetooth, NFC, and RF method are available, and a detailed description thereof will be omitted.

The receiving module 90 receives the received target 40 image and sends it to the arithmetic module 100 for computing the wheel alignment element. The computation module 100 receives a total of four target 40 images to calculate wheel alignment elements such as tow, camber, and the like.

The wheel alignment element is calculated from the reference coordinates of the camera 50 and the center coordinates of each captured target 40. When the three-dimensional coordinates (X, Y, Z) of two points are determined, the parallel displacement coordinates and the rotational displacement coordinates of the vector determined by the two points are obtained. Then, wheel alignment elements such as tow, camber, etc. are calculated from these parallel displacement coordinates and rotational displacement coordinates obtained for each target 40, and these calculations are well known in the art, and a detailed description thereof will be omitted .

When the target 40 is measured by the three-dimensional camera 50, patterns due to disturbance as well as normal patterns are also picked up due to interference by light, body reflection, etc., and it is difficult to measure accurate wheel alignment elements. Therefore, an operation for distinguishing a pattern due to the disturbance from the image of the captured target 40 is required.

2 is a target perspective view of the present invention. A target 40 for wheel alignment measurement for disturbance exclusion according to the present invention is formed on a target 40 to be photographed and includes a reference pattern 10 defining a pattern measurement area 30 providing data for a wheel alignment element, (Reference pattern); A blob pattern 20 formed on the boundary or inside the pattern measurement region 30 defined by the reference pattern 10 and providing three-dimensional position information of the target 40, The reference pattern 10 is a reference for distinguishing disturbance patterns captured outside the pattern measurement area 30 during wheel alignment measurement.

Here, the pattern measurement area 30 is a region in which the calculation module 100 has a pattern to be used as an effective measurement target in order to grasp the three-dimensional position information of the target 40.

3 is a plan view of the front wheel target 40 pattern according to the present invention. In Fig. 3, the donut-shaped pattern is the reference pattern 10, and the circular pattern is the blob pattern 20. [ In Fig. 3, a total of three reference patterns 10 are formed in the outline of the pattern measurement area 30 of the rectangular shape. The reference pattern 10 is formed outside the pattern measurement area 30 so that the pattern outside the rectangular pattern measurement area 30 defined by the reference pattern 10 is obtained by the calculation module 100, And excluded from the operation.

By doing so, it is possible to eliminate the influence of disturbance due to reflection by the body of the vehicle, interference by light, and the like.
The number of the reference patterns 10 is set to three, which is the minimum number of patterns for defining the pattern measurement area 30 of the rectangular shape.

3, 4, and 6, the reference pattern 10 is positioned such that when the centers of the three reference patterns 10 are linearly connected to each other, a shape of a right triangle is formed, and the pattern measurement area 30 Of the reference pattern 10 is positioned coaxially with the center of the reference pattern 10 and the quadrangular pattern measurement area 30 is located at the center of each of the reference patterns 10, A rectangular shape formed by forming straight lines L passing through the center of the pattern 20 and intersecting each straight line L is defined as a pattern measurement area. Thus, the number of the three reference patterns 10 becomes the minimum number of patterns for defining the pattern measurement area 30 of the rectangular shape.

The reference pattern 10 is formed in a donut shape. Since the pattern due to the disturbance due to the reflection of the vehicle body is formed in a circular shape, the server computer easily distinguishes the reference pattern 10 from the pattern due to the disturbance.

In this case, the camera recognizes the donut-shaped figure as a reference, connects the recognized reference line by a straight line to form a rectangular shape, and recognizes the figure outside the rectangle as a disturbance.

The target 40 is mounted on the left and right front wheels and the left and right rear wheels, respectively, and the target 40 mounted on the rear wheel is larger than the target 40 mounted on the front wheel. This is to allow the rear wheel target 40 mounted at a distance from the front wheel target 40 to be displayed on the screen as an image of the same size as the front wheel target 40.

The blob pattern 20 is provided to calculate position information on the three-dimensional space of the target 40. The circular pattern on the target 40 located on the front side of the camera 50 is captured by the camera 50 in an elliptic shape when the target 40 rotates about the coordinate axis.

Thus, a plurality of blob patterns 20 are formed on the target 40 to measure the degree to which the target 40 is rotated with respect to each coordinate axis. The positional information of each blob pattern 20 can be grasped and three-dimensional positional information of the target 40 can be obtained therefrom. The blob pattern 20 is formed in a circular shape.

Design variables for designing the blob pattern 20 include the number of blobs, the diameter of the blobs, and the distance between the centers of neighboring blobs. In order to obtain more precise three-dimensional position information of the target 40, the larger the number of blobs, the better, but the size of the target 40 physically mountable on the wheel is limited, and the greater the number of blobs, Since neighboring blob patterns 20 overlap on the image, the number of blobs should be determined in consideration of this. And the diameter of the blobs or the center-to-center distance of neighboring blobs should also be determined such that neighboring blob patterns 20 do not overlap on the measured target 40 image.

In the embodiment according to the present invention, the front wheel target 40 has a quadrangle shape of 210 mm and 210 mm, three reference patterns 10 are formed at the outermost periphery, and 33 blob patterns 20 are formed.

Each pattern is formed in a garden shape. The diameter is 20 mm, the distance from the center of the pattern is 32 mm, the distance between the center of the outermost pattern and the tip of the target is 25 mm, and the reference pattern is different from the blob pattern Color, or the same color as the target background.

Referring to FIG. 4, the rear wheel target 40 has a square shape of 280 mm and 280 mm, three reference patterns 10 are formed at the outermost periphery, and a bob pattern 20 33 are formed.

Each of the patterns is formed in a garden shape. The diameter is 25 mm, the distance from the center of the pattern is 40 mm, the distance between the center of the outermost pattern and the tip of the target is 40 mm, and the reference pattern is different from the blob pattern Color, or the same color as the target background.

A wheel alignment measurement method for preventing disturbance using the target 40 for wheel alignment measurement according to the present invention will be described with reference to FIG.

A method for measuring wheel alignment for disturbance prevention according to the present invention includes: recognizing (S10) a reference pattern (10) from a photographed image of the target (40); Defining (S20) a pattern measurement area (30) from the recognized reference pattern (10); Obtaining a center C1 of the defined pattern measurement area (S30); Recognizing the blob pattern 20 imaged on the boundary and inside of the pattern measurement area 30 (S40); Calculating (S50) a center (BC) for each of the plurality of recognized blob patterns (20); Determining (S60) the center (C2) of the target (40); (S70) of calculating the wheel alignment elements from the coordinates of the center (C) of the target (40) mounted on the right and left front wheels and the left and right rear wheels and the reference coordinates of the camera (50).

In the step S10 of recognizing the reference pattern 10 from the photographed image of the target 40, a hollow donut-shaped image is recognized as a reference pattern among the images captured by the camera. This is because the image that appears when the camera takes the target image is the inverse of the actual target, so the reference image is recognized as a donut shape.

In the step S20 of defining the pattern measurement area 30 from the recognized reference pattern 10, the centers of the adjacent reference patterns are connected by a straight line L, and the straight lines are connected to each other to form a rectangular area, Determine the pattern measurement area.

In the step S30 of obtaining the center C1 of the pattern measurement area defined above, the center C1 of the defined pattern measurement area on the square is obtained.

In step S40 of recognizing the blob pattern 20 captured within the boundary of the pattern measurement area 30 and an image other than a rectangular area defined in step S20 of defining the pattern measurement area 30 Excludes the blob pattern and recognizes only the circular image within the rectangular area as a blob pattern.

In step S50 of calculating the center BC for each of the recognized plurality of blob patterns 20, as a basic process for calculating a wheel alignment element in the future, if the target attached to the wheel is rotated at a certain angle, Since the circular image of the pattern will form an oval rather than a garden, which means that the wheel is not aligned, in the present invention, the center of the circle is recognized as a calculation element for estimating the angle and direction of the target, A center is calculated for each of the plurality of blob patterns (20).

Referring to FIG. 6, in step S40 of calculating the center of the blob pattern, a rectangle surrounding the elliptical shape is shown when the captured image of the blob pattern 20 is an ellipse. Then, The coordinates of the point where the bisector intersects are calculated, and the intersecting coordinates are recognized as the center (BC) of the blob pattern 20.

In step S60 of determining the center C2 of the target 40, whether the center C1 of the pattern measurement area is the center C of the true target 40, that is, whether the target is mounted at the correct position of the wheel (C 1) of the target 40 from the center (BC) of each blob calculated from the step (S 50) to determine the center (C1) of the pattern measurement region and the center (C1) of the pattern measurement area is determined as the center (C) of the true target (40).

In the embodiment of the present invention, the number of blobs 20 in the pattern measurement area is 33, so 33 centers C2 of the target 40 will exist. Therefore, 33 centers C2 and pattern measurement areas The center C1 determines the center C1 of the pattern measurement area as the center C of the true target 40 when a certain number of centers are located within the error range.

Here, obtaining the center C2 of the target 40 from the center (BC) of each blob can be determined from a previously calculated reference table. For example, referring to Figs. 6 and 7, The center (C2) from the blob located in the column will have coordinates located at 80 mm (32 mm * 2 + 32 mm * 0.5) on the Y axis of the bob center distance and 80 mm (32 mm * 2 + 32 mm * 0.5) on the X axis.

This makes it possible to compare the center (C2) coordinates of each blob with the center (C1) coordinates of the pattern measurement area.

Here, the number of recognized blobs may be 33 or more because of the number of blobs recognized due to disturbance or the like. Therefore, the number of recognized blobs is not within the predetermined number range, or 33 centers (C2) When the center of the predetermined number is not within the error range after the comparison, the position of the target is adjusted without comparing with the center C1 of the pattern measurement area, and then the process proceeds from the step of recognizing the reference pattern 10 .

The center C2 of the target 40 is determined in the step S70 of calculating the wheel alignment element from the coordinates of the center C of the target 40 mounted on the right and left front wheels and the left and right rear wheels and the reference coordinates of the camera 50 (C) coordinates of the target 40 mounted on the left and right front wheels and the left and right rear wheels determined in the step S60 to calculate the alignment elements such as toe and camber from the reference coordinates of the camera 50 and the four coordinates do.

The wheel alignment element is calculated from the reference coordinates of the camera 50 and the center coordinates of each captured image 40. When the three-dimensional coordinates (X, Y, Z) of the two points are determined, The parallel displacement coordinate and the rotational displacement coordinate are obtained. Then, wheel alignment elements such as tow, camber, etc. are calculated from these parallel displacement coordinates and rotational displacement coordinates obtained for each target 40, and these calculations are well known in the art, and a detailed description thereof will be omitted .

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the scope of the invention is not limited to the disclosed exemplary embodiments. It is obvious that a transformation can be made. Although the embodiments of the present invention have been described in detail above, the effects of the present invention are not explicitly described and described, but it is needless to say that the effects that can be predicted by the configurations should also be recognized.

10: Reference pattern
20: blob pattern
30: pattern measurement area
40: Target
50: Camera
60: luminous body
70: Clamp
80: Transmission module
90: Receiving module
100: Operation module
110: Display module

Claims (9)

In the target 40 used for the wheel alignment measurement,
A donut-shaped reference pattern 10 formed on the target 40 to be photographed and defining a pattern measurement area 30 for providing data on the wheel alignment element;
And a blob pattern 20 (blob pattern) formed on the boundary and inside the rectangular pattern measurement area 30 defined by the reference pattern 10 to provide three-dimensional position information of the target 40 However,
When the centers of the three donut-shaped reference patterns 10 are linearly connected to each other, the reference pattern 10 is positioned so that a right triangle is formed,
The center of the blob pattern 20 at the boundary of the pattern measurement area 30 is located coaxially with the center of the reference pattern 10,
The pattern measurement area 30 on the quadrangle forms a straight line L from the center of each reference pattern 10 via the center of the coaxial blob pattern 20 and each straight line L intersects with each other And recognizes the generated rectangular shape as a pattern measurement area,
Wherein the reference pattern (10) is a reference for distinguishing a disturbance pattern captured outside the pattern measurement area (30) in wheel alignment measurement. The wheel alignment measurement target
delete delete The method according to claim 1,
The target (40) is mounted on the left and right front wheels and the left and right rear wheels, and the target (40) mounted on the rear wheel is larger than the target (40) mounted on the front wheel.
The method of claim 4,
Characterized in that the blob pattern (20) has a circular shape. The wheel alignment measurement target
The method of claim 5,
Characterized in that the number of the blobs, the diameter of the blobs, and the distance between the centers of neighboring blobs are set such that the captured neighboring blob patterns (20) do not overlap.
1. A wheel alignment measurement system comprising a target for wheel alignment measurement (40) according to any one of claims 4 to 6,
A camera 50;
A light emitter 60 for providing a light source to the camera 50;
A clamp (70) for securing the target (40) to the wheel;
A transmission module (80) for transmitting an image of the target (40) photographed by the camera (50);
A receiving module (90) for receiving the image of the target (40) transmitted from the transmitting module (80);
A calculation module 100 for receiving an image of the target 40 from the reception module 90 and computing a wheel alignment element such as a tow, a camber, and the like;
And a display module (110) for displaying wheel alignment elements such as tow, camber, etc., coordinates of each target (40) calculated by the calculation module (100) system
1. A wheel alignment measurement method using the target for wheel alignment measurement (40) according to any one of claims 4 to 6,
Recognizing a reference pattern (10) from a photographed image of the target (40);
Defining a pattern measurement area (30) from the recognized reference pattern (10);
Recognizing a blob pattern (20) imaged within a boundary and within the pattern measurement area (30);
Calculating a center for each of the recognized plurality of blob patterns (20);
Calculating a center of the target (40) from a center of the calculated plurality of blobs;
And calculating a wheel alignment element from the center coordinates of the target (40) mounted on the right and left front wheels and the left and right rear wheels and the reference coordinates of the camera (50)
The method of claim 8,
The step of calculating the center of the blob pattern 20 shows a rectangle surrounding the elliptical shape which is the image of the blob pattern 20 and the coordinates of the intersection of the bisector of each side are calculated to calculate the center of the blob pattern 20 A wheel alignment measurement method for preventing disturbance
KR1020150079129A 2015-06-04 2015-06-04 A measurement target for wheel alignment to prevent disturbance, a measurement system using the target and measuring method of the same KR101541030B1 (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170100454A (en) * 2016-02-25 2017-09-04 스냅-온 인코포레이티드 Wheel aligner and electronic system thereof
KR101832089B1 (en) 2016-02-06 2018-02-23 스냅-온 인코포레이티드 Four-wheel positioner
WO2022042448A1 (en) * 2020-08-28 2022-03-03 深圳市道通科技股份有限公司 Target, four-wheel alignment system and four-wheel alignment method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101832089B1 (en) 2016-02-06 2018-02-23 스냅-온 인코포레이티드 Four-wheel positioner
KR20170100454A (en) * 2016-02-25 2017-09-04 스냅-온 인코포레이티드 Wheel aligner and electronic system thereof
WO2022042448A1 (en) * 2020-08-28 2022-03-03 深圳市道通科技股份有限公司 Target, four-wheel alignment system and four-wheel alignment method

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