KR20200075692A - Fog detection device using coordinate system and method thereof - Google Patents

Abstract

Disclosed are a fog detection apparatus using a coordinate system and a method thereof. According to the present invention, the fog detection device using a coordinate system sets two or more regions of interest (ROI) to measure the presence or absence of fog on a road and detects the presence or absence of fog and a visual range using an image of the relevant ROI. The fog detection device comprises: a moving means having a camera unit mounted thereon for capturing an image of the set ROI in real time, while traveling on the corresponding road; a fog measurement unit for measuring the presence or absence of fog and the visual range in the ROI by extracting the image of the ROI from the image captured by the camera unit of the moving means; and a control server, which receives the presence or absence of the fog and the visual range detected by the fog measurement unit, so as to display the same on electronic road signs of the corresponding road or a situation room or transmit the same thereto as weather information. Therefore, the present invention can accurately provide, in real time, the presence or absence of fog and the visual range in the corresponding area as fog analysis information.

Description

Fog detection device and method using coordinate system{FOG DETECTION DEVICE USING COORDINATE SYSTEM AND METHOD THEREOF}

The present invention relates to a fog detection device, and more specifically, a fog detection device using a coordinate system that measures and displays the presence and intensity of fog by applying fog detection technology based on an image taken with a camera mounted on a vehicle. It's about the way.

Weather information is information about weather that has a great influence on daily life.

Recently, the Korea Meteorological Administration has opened weather forecasting so that private weather forecasters can do it. As weather fluctuations intensify due to climate change, interest in weather information is increasing.

For accurate monitoring and forecasting of weather information, weather data must be acquired through the installation of weather equipment.

Weather conditions (mist, rain, snow) are the main factors causing traffic accidents by interfering with the driver's vision, and to date, safety facilities against fog are safety signs, fog shielding networks, LED gaze guidance lights, fog lights, and speeding It has installed and operated intermittent equipment.

Since these safety facilities are installed/operated only in a fog region that occurs continuously, they are not effectively responding to fog occurring in spatio-temporally unspecified fog.

In particular, as the danger of traffic accidents caused by fog has emerged as a social problem, the installation of safety hazard indication facilities in preparation for fog during the road design has been actively conducted. As one method for this, a fog warning system has been developed and installed to measure fog occurrence and visibility and alert the driver through this.However, a method for measuring visibility distance using auxiliary facilities requires installation of a separate target. There is a problem in that a separate cost is generated. In addition, the conventional method of measuring the visibility distance has a problem in that it is difficult to calculate visibility when the division between day and night, such as dawn, is ambiguous. Accordingly, there is a need for a method capable of measuring a correction distance over a relatively large area and measuring the correction distance at a low cost.

KR Registered Patent Publication No. 10-0946749 (2010.03.11)

An object of the present invention to solve this problem is to provide a fog detection apparatus and method using a coordinate system capable of detecting the presence or absence and visibility of fog in an image of a region of interest set on a road.

In addition, the present invention is a fog detection apparatus and method using a coordinate system capable of detecting the presence and visibility of fog in real time by taking an image of a region of interest while driving the camera by attaching a camera to a moving means constantly driving the road. Another purpose is to provide.

Another object of the present invention is to provide a fog detection apparatus and method using a coordinate system that improves a fog detection function by using a plurality of fog detection methods in each image photographing one region of interest by distance.

In order to solve the above-mentioned problems, two or more areas to measure the presence or absence of fog on the road of the present invention are set as a region of interest (ROI), and fog using a coordinate system that detects the presence and visibility of fog using the image of the region of interest The detection device extracts an image of a region of interest (ROI) from a moving means equipped with a camera unit that photographs an image of a region of interest set in real time while driving the corresponding road and an image captured by the camera unit of the moving unit. It includes a fog measurement unit that measures the presence and visibility of the fog, and a weather information providing server that receives the presence and visibility of the fog detected by the fog measurement unit and displays it on the electric signboard or situation room of the corresponding road or transmits it as weather information. Can be achieved by configuring

In addition, a fog detection method using a coordinate system for acquiring an image from a camera mounted on a moving means of the present invention for solving the above-described problems and detecting the presence and intensity of fog from the acquired image is (a) on the road. Setting two or more image acquisition GPS coordinates to acquire an image in at least one region of interest (ROI) and a direction in which the moving means proceeds toward the region of interest, and (b) the image acquisition GPS coordinates and the current moving means If the received GPS coordinates match, controlling to acquire an image using the camera, (c) analyzing the acquired image to detect the presence and absence of fog in the region of interest and providing the detected result with weather information The step of transmitting to the server and (d) the weather information providing server is achieved by including the presence or absence of the fog detected in step (c) and the visibility distance to each billboard or situation room or transmitting the weather information. Can be.

The determination of the presence or absence of fog and the visibility distance in step (C) determines that there is fog in the final area of interest when it is determined that there is fog in both images received from two or more image acquisition GPS coordinates. Judging whether there is fog and when the result of the analysis by the fog concentration measurement method and the contour extraction method, and the results analyzed by the brightness analysis method are consistent, the fog is determined. The extracted correction distance can be calculated during the analysis by the concentration measurement method and the analysis by the contour extraction method.

Therefore, according to the fog detection apparatus and method using the coordinate system of the present invention, it provides real-time fog information because it analyzes the presence and visibility distance of the fog by measuring the image of the region of interest from a number of vehicles driving on the road at all times. It has the effect.

In addition, according to the fog detection apparatus and method using the coordinate system of the present invention, the recognition rate is increased because the image of each region of interest is analyzed and/or the presence or absence of fog is determined by two or more methods in the fog measurement unit. It has the effect of providing reliable fog information.

In addition, according to the fog detection apparatus and method using the coordinate system of the present invention, it is possible to provide information on the visibility and the visibility of the fog, so it is effective in driving the road more efficiently.

1 is a view for explaining the concept of fog detection using a coordinate system according to an embodiment of the present invention,
Figure 2 is a main configuration of the fog detection apparatus according to an embodiment of the present invention,
Figure 3 is a flow chart for explaining a fog detection method according to an embodiment of the present invention,
4 is a reference diagram for explaining a method of setting a region of interest and identifying whether fog is present,
5 is a view illustrating a case of determining the presence or absence of fog in a measurement image for each distance,
6 is a view illustrating a case of determining the presence or absence of fog by the fog concentration measurement method and the contour extraction method,
And
7 is a diagram illustrating a case of determining the presence or absence of fog by brightness.

The terms or words used in the present specification and claims are not to be construed as being limited to ordinary or lexical meanings, and the inventor is based on the principle that the concept of terms can be properly defined in order to best describe his or her invention. It should be interpreted in a sense and concept consistent with the technical idea of the present invention.

Throughout the specification, when a part “includes” a certain component, this means that other components may be further included rather than excluding other components unless specifically stated to the contrary. In addition, terms such as “…unit”, “…group”, “module”, and “device” described in the specification mean a unit that processes at least one function or operation, which is implemented by a combination of hardware and/or software. Can be.

It should be understood that the term “and/or” throughout the specification includes all combinations that can be presented from one or more related items. For example, the meaning of "first item, second item, and/or third item" will be presented from the first, second or third item, as well as two or more of the first, second or third items. It means a combination of all possible items.

Throughout the specification, the identification numbers (for example, a, b, c, ...) in each step are used for convenience of explanation, and the identification numbers do not limit the order of each step, and each step It may occur differently from the order specified unless a specific order has been explicitly stated in the context. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

First, terms used in the present invention are defined as follows.

"Moving means" is a high-speed national highway, a general national highway, a metropolitan road, a metropolitan road, a provincial road, an island, an island, and an image of a moving image such as a vehicle that can take an image of a set area while driving on one or more roads It shall mean.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

1 is a view for explaining the concept of fog detection using a coordinate system according to an embodiment of the present invention and FIG. 2 is a main configuration diagram of a fog detection device according to an embodiment of the present invention.

The fog detection apparatus and method using the coordinate system of the present invention sets a region of interest (ROI) on a road to check for the presence or absence of fog, and photographs the region of interest for each approach distance in a moving means proceeding toward the region of interest Analyze two or more images to determine the presence or absence of fog in the ROI.

Referring to FIG. 1, as the moving means 100 travels on the road 400, an image of a region of interest (ROI) 200 set in front is taken in an image acquisition section 210 set for each access distance. To analyze.

The region of interest (ROI) 200 is an area of high importance for easily determining the presence or absence of fog, and is set to be included in an area in which a camera mounted on a moving means passing through the image acquisition section 210 can shoot.

For example, it is to set an area in which a fixed camera such as a black box can easily photograph the presence or absence of fog and a visible distance from among areas that can be photographed at all times.

Referring to FIG. 4, it can be seen that the ROI is set on the upper side of the tunnel.

The image acquisition section 210 is a location to photograph the region of interest (ROI) 200 when the moving means passes through the corresponding area, is set as a GPS coordinate, and the moving means 100 detects it to pass the corresponding GPS coordinate. It is preferable to install more than one for each distance of the ROI in order to take an image.

Referring to FIG. 1, an image acquisition section 210 is set, a first image acquisition point is set within the image acquisition section 210, and a GPS coordinate of the corresponding point is assigned as the first image acquisition GPS coordinate x1 point 211. , X2 points 212 as the second image acquisition GPS coordinates, x3 points 213 as the third image acquisition GPS coordinates, and N points (N) as the Nth image acquisition GPS coordinates.

For example, the image acquisition section 210 may be set to about 100 m before the region of interest (ROI), and the image acquisition GPS coordinate may be set as 150 m, 100 m, 50 m before the region of interest (ROI).

In addition, the region of interest (ROI) 200 is set on any one or more roads of a high-speed national road, a general national road, a metropolitan road, a metropolitan road, a provincial road, a city, a road, and a road where a camera can be used to photograph surrounding images by mounting a camera like a vehicle. In addition, it is desirable to divide the corresponding roads into sections and set a plurality to detect fog and provide information across the roads.

In addition, it is needless to say that fog areas and fog areas should be included in the area of interest for special management.

To this end, the moving means 100 may measure the presence or absence and visibility of the fog itself with the captured image, or transmit it to the weather information providing server 300 for analysis.

That is, the fog detection apparatus using the coordinate system of the present invention first sets two or more regions to measure the presence or absence of fog on the road as a region of interest (ROI) and uses the image of the region of interest to detect the presence and visibility of fog. , The region of interest (ROI) from the image taken by the moving unit 100 equipped with the camera unit 110 and the camera unit 120 of the moving unit 100 to photograph the image of the region of interest set in real time while driving the corresponding road ) (200) by extracting the image of the fog area and the visibility of the relevant area of interest to measure the presence and visibility of the fog detection unit (150,360) and the fog detection unit (150,360) detects the presence and visibility of the fog received by the billboard Or it comprises a weather information providing server 300 to be displayed in the situation room or transmitted as weather information.

Fog measuring unit (150,360) is a configuration that receives the image of the region of interest and measures the presence or absence of the fog and the visibility distance. The method of self-analysis by configuring the first fog measuring unit 150 directly in the moving means 100 And it will be described by dividing it into a second fog measurement unit 360 that analyzes the weather information providing server 300 by transmitting the image taken by the mobile means (100).

First, the moving means 100 mounts the camera unit 120, photographs an area of interest (ROI) 200 while driving on the road, and detects the presence or absence of the fog and the visibility distance from the first fog measurement unit 150 to communicate with the communication unit. The analysis information is transmitted to the weather information providing server 300 using the fog information through the 110 or, if there is no first fog measuring unit 150, the image is transmitted to the weather information providing server 300 to provide the weather information providing server. (300) can be analyzed.

The camera unit 120 is fixed to receive a signal to shoot an image from the control unit 140, or if the control unit 140 determines that it is an image acquisition GPS coordinate while taking a regular image, the first fog measurement unit ( 150).

Preferably, the camera unit 120 photographs an image at all times and stores it in the image storage unit 170 for each shooting time, reads the image like a black box when necessary, and then determines that the controller 140 is the image acquisition GPS coordinate 210. In the case of the image, the GPS coordinates and the unique identification number of the moving means are separately stored in the image storage unit 170, and the image is analyzed by the first fog measurement unit 150 to determine whether there is fog and the visibility distance. You can make it measurable.

In particular, since the camera unit 120 may be mounted on a plurality of moving means, when an image is captured and transmitted, the camera unit 120 is transmitted along with the owner or unique identification code of the moving means equipped with the camera unit 120 and transmitted from any moving means. Needs to be distinguished.

In the case of an IP camera, only the IP address needs to be transmitted. In the case of a normal camera, a unique identification code including the owner's identification code can be transmitted.

In the present invention, a specific vehicle may be equipped with a camera and may take an image while periodically driving the road, but a camera with a unique identification code, such as a high-speed bus, a patrol car, a work vehicle, a work vehicle, etc. Since it is also possible to collect images in real time by attaching a wealth, it is possible to provide more accurate information by receiving an identification code for the image sender and paying a predetermined price to obtain a real time image.

When the camera unit 120 reaches the image acquisition GPS coordinate set by the control of the control unit 140, the camera unit 120 operates to photograph an image in front.

To this end, the moving means 100 receives two or more image acquisition GPS coordinates for capturing the surrounding image using the GPS receiving unit 130 and the camera unit 120 that receive the current GPS position of the moving means and extracts the coordinates. A control unit including a coordinate unit 160 and controlling the camera unit 120 to capture an image when the GPS coordinates received through the GPS receiver 130 and the image acquisition GPS coordinates registered in the measurement coordinate unit 160 match Includes 140.

In addition, as described above, the image storage unit 170 stores the images captured by the time, such as a black box, by time, and stores the images acquired from the image acquisition GPS coordinates together with the unique identification code.

The first fog measurement unit 150 detects the presence or absence of the fog and the visibility distance by receiving or receiving an image captured by the camera unit 120.

Hereinafter, for convenience of description, it will be described as a case where the moving means is provided with the first fog measuring unit 150.

The first fog measurement unit 150 analyzes an image captured by the camera unit 120 of the moving means 100 to determine the presence or absence and visibility of the fog.

As an example, referring to the reference drawing for setting the region of interest in FIG. 4 and the method for identifying the presence or absence of fog, the top figure shows good outline when the outline is displayed in the region of interest (ROI) when the color is removed from the received image. It is a picture that means the state, and if the outline is not visible when the color is removed as shown in the figure below, it can be determined that there is fog.

As another method, the image in the case of fog in the region of interest and the image in the absence of fog or the image according to the viewing distance according to the intensity of the fog are stored in the first fog measurement unit 150 for each GPS coordinate and taken. It is also possible to compare and detect the stored image and compare the visibility with and without fog.

In addition, since fog may rapidly change depending on weather conditions according to road conditions, the first fog measurement unit 150 measures the presence or absence of fog in the image measured by distance, but accurately uses a plurality of fog detection methods. It works to detect.

In addition, fog is not only the frequency of occurrence, but also the degree of influence on road safety depending on the start time and dissipation time. Therefore, it is necessary to proceed with different fog detection times and cycles considering the characteristics of each region for each season. Information can be provided.

Normally, the start time of the fog is 201% at 5 o'clock and 237% at 6 o'clock, and it can be seen that 96.7% of the fog starts from 1 AM to 9 AM. The frequency of fog starts until 24 hours is very low, 3.3%, and the dissipation time is most frequent between 6 and 7 hours, and the fog starts to dissipate after sunrise. Fog appears to dissipate (Source: The Korean Geographical Society Vol. 38, No. 4 2003 (478~489))

That is, when it is determined that there is fog in all images received in two or more image acquisition sections 210 for each distance for the same region of interest (ROI), it is determined that there is fog, and it is determined that there is no fog at any one location. If there is, there is no fog in the area.

In addition, the presence/absence measurement of the fog is the case where the same result is obtained by three methods of the image at a location, that is, the fog concentration measurement method, the contour extraction method, and the brightness analysis method. That is, when the analysis result by one method is different from the other analysis result, it is determined that there is no fog.

Specifically, if it is determined that there is fog in the analysis by the fog concentration measurement method, there is fog in the contour extraction method, and there is fog in the brightness analysis method, it is determined that there is fog in the final area of interest, and it is determined that there is fog. In the case, the visibility distance is calculated by using the presence or absence of fog for each visibility distance analyzed in the fog concentration measurement method and the contour extraction method.

The fog concentration measurement method shows the case of determining the presence or absence of fog by the fog concentration measurement method and the contour extraction method of FIG. 6, and looking at the upper figure, the section from the close distance of the lower image to the far distance of the upper image in the captured image It is roughly divided into 10 sections, and the concentration of fog detected per section is numerically displayed.

If you look at the good case in the upper figure, the figure of each section is similarly shown in the graph, but in the case of fog, the concentration of the fog is low in the area near the screen, but gradually accumulated so that the value increases as the distance increases. have.

The concentration measurement method of fog is analyzed for each region of interest (ROI) that requires analysis, and the color value of each pixel is calculated using a variance formula.

If there is no characteristic of fog, the measured dispersion value is more than 200, and if there is characteristic of fog, the value is low depending on the concentration.

In particular, when the fog is thick, a value of 2 or less is displayed.

The dispersion equation used in the fog concentration measurement method is shown in Equation 1.

는 분산,

는 평균,

는 가중치이다.here

Is distributed,

Mean,

Is the weight.

The contour extraction method analyzes the region of interest (ROI) that requires analysis, and uses a general edge extraction technique. The edge refers to the boundary of an object in the image. The edge is a point where the change in contrast is large based on the contrast of the image, and the differential method is used to detect the contrast, brightness change rate, or slope.

The threshold value for edge extraction is 10.

In addition, when the image is expressed as an edge, information on the shape of an object in the image can be maintained. To detect such an edge, operators such as roberts, prewitt, and sobel are used. These operators can be performed with the concept of using gradient operators in image differentiation.

Since the outline extraction method can use a variety of publicly disclosed methods, detailed description thereof will be omitted.

That is, the present invention uses a contour extraction method as one of methods for measuring the presence or absence of fog.

In the figure exemplifying the case of determining the presence or absence of fog by the fog concentration measurement method and the contour extraction method of FIG. 6, in the lower figure, the section from the close distance of the lower image to the far distance of the upper image is approximately 10 sections in the captured image. If you look at the screen on the right that separates the contours for each section and there is no fog, you can see that the contours are extracted with red lines in good weather, and the contours are indistinguishable in case of fog.

In addition, when the contour extraction method is used, the visibility distance can be estimated according to the extraction degree of the contours at each stage.

For example, if the step-by-step box on the left side is reduced to the red figure on the upper right to correspond to the corresponding location, the starting point of the location where the outlined in red color is visible can be converted into the viewing distance in the image.

That is, since the distance of each section can be calculated from the 10 sections on the left screen, the corresponding distance information is stored and the section from which the contour is extracted can be detected and converted into a distance.

The brightness analysis method refers to a graph showing the frequency distribution for color. Referring to the drawing exemplifying the case of determining the presence or absence of fog by the brightness of FIG. 7, the color for the region of interest (ROI) is viewed by looking at the hue histogram in good case. It can be seen that, while the pixel value is displayed numerically, when there is fog, the pixel value for the ROI is displayed as "0".

This brightness analysis method analyzes the region of interest (ROI) that requires analysis and uses the HSL extraction technique.

First, the RGB color of the region of interest is converted into HSL (Hue Satruation Lightness), and then only the H (Hue) color is extracted. Thereafter, a process of converting the extracted H(Hue) color into a histogram is performed. In the general case where there is no fog, the measured value appears at the position of 100 to 150, and when there is fog, it is distributed only at the 0 position.

The analysis of the fog has been described in the present invention as analyzing the presence or absence of the fog and the visibility distance in each mobile device to provide rapid data, but the image captured by the camera unit 120 is input from the weather information providing server 300 It is also possible to determine the presence or absence of fog and the visibility distance.

Accordingly, according to the set conditions, the control unit 140 transmits the image or fog analysis information captured by the weather information providing server 300 through the communication unit 110 and requests image transmission from the weather information providing server 300 at the same time. It is possible to operate to transmit the data to the weather information providing server 300.

That is, when the weather information providing server 300 designates an identification code and requests a photographed image or an analysis result, the control unit of each mobile means transmits the photographed image or fog analysis information to the corresponding identification code.

In addition, the control unit 140 may store the captured image or fog analysis information for each time in the memory of its own and transmit it to the weather information providing server 300 if necessary.

In addition, when transmitting the fog analysis information or the captured image to the meteorological information providing server 300, the control unit 140 transmits an identification code so that when displaying the image, the region name of the corresponding image is displayed so that it can be easily distinguished.

The meteorological information providing server 300 may be a meteorological person, a control center, a meteorological center, or a terminal installed in a road traffic center, and installs an application related to the present invention to analyze a video of interest or fog of the road of interest from each camera. Information and the like.

In particular, when an emergency text notification in a set area is requested, when the weather information providing server 300 suddenly changes in the fog of the area, receiving the corresponding information from the weather information providing server 300 automatically starts the stored application. It is displayed on the screen and the received information is displayed so that a terminal manager or a holder can confirm it.

The weather information providing server 300 operates to receive and store the captured image, fog analysis information, and identification code received from the mobile means, and then display or transmit the corresponding information when necessary.

Referring to FIG. 2, the weather information providing server 300 sequentially displays images of regions with different identification codes along with road names according to the order set with the multi-screen 2350, and other regions where rapid changes are expected are other. You can make special attention by blinking the screen or generating a warning sound.

In this case, the weather information providing server 300 sends an emergency notification to a management agency such as a regional control center or a weather center or a road traffic center, and if there are terminals requesting information for each region, that is, identification code, the weather information is provided to each server. It is transmitted to the terminal so that terminal holders can share emergency information.

To this end, the weather information providing server 300 manages authentication for app installation of the terminal holder requesting information reception, and manages authentication for the administrator's server access, and a user authentication unit 320 and information through an electronic signboard or an administrator terminal. The data providing unit 330 for transmitting the data, the identification code and image acquisition GPS coordinates of each moving means 100, and the camera DB 340 that stores the GPS coordinates of the region of interest (ROI), the captured image by identification code And fog storage information and a storage unit 380 for storing images indicating the presence and absence of fog for each GPS acquisition coordinates, and a second fog to detect the presence and visibility of fog by analyzing the received images. It may include a server communication unit 370 for communicating with the measurement unit 360 and the mobile means and the terminal, respectively.

The data providing unit 330 is configured to display the data stored in the storage unit 380 or the presence or absence of fog and the visibility distance on a billboard or situation room for each road or to transmit weather information.

The server control unit 310 operates to generate a warning sound and provide emergency information about a corresponding area when an abrupt change of fog is detected, and to issue a warning alert to vehicles passing through the corresponding area.

In addition, when the server controller 310 requests an image or data for an identification code of a region of interest from a terminal in which an application related to the present invention is installed, the server controller 310 operates to extract and transmit the field image or fog analysis information of the corresponding camera.

The second fog measurement unit 360 measures the presence and visibility of the fog in the same manner as in the same configuration as the first fog measurement unit 150 of the moving means, so a description thereof will be omitted.

The fog detection method using the coordinate system of the present invention using the above-described configuration will be described.

Figure 3 is a flow chart for explaining a fog detection method according to an embodiment of the present invention, as shown, the fog detection method of the present invention acquires an image from a camera mounted on a moving means, and the fog from the acquired image Presence and visibility of frost will be detected.

The fog detection method using the coordinate system of the present invention comprises setting a GPS coordinate for capturing an image and storing it as an image acquisition GPS coordinate (S100) and capturing an image (S110), and analyzing the captured image (S120). And determining the presence or absence of the fog and the visibility distance based on the analyzed data (S130), and transmitting the fog analysis information to the outside if necessary (S140).

In step S100, the image acquisition GPS coordinate is set and stored as a GPS coordinate in a place where a vehicle driving a road wants to take an image in order to calculate the presence or absence and visibility of fog.

Preferably, the region of interest is first set, and the region in front of the region of interest is set as an image acquisition section, but the region capable of accurately photographing the region of interest should be set.

When the image acquisition section is set, two or more image acquisition points are set in consideration of the local conditions, and the GPS coordinates of the corresponding point are set as the image acquisition GPS coordinates.

As described above, a plurality of regions of interest (ROI) may be set on the corresponding road, and the image acquisition GPS coordinates may be set in front of one region of interest (ROI) to acquire an image for each distance.

When two or more image acquisition GPS coordinates are set, the corresponding GPS coordinates are stored in the measurement coordinate unit 160 of the mobile means 100 and the camera DB 340 of the weather information providing server 300, respectively.

In the image acquisition GPS coordinate 210, the administrator inputs the corresponding coordinates from the weather information providing server 300 and transmits the input coordinates to the mobile means 100 through communication to change the data of the measurement coordinates 160 or Of course, it can be deleted.

That is, the communication unit 110 of the mobile means 100 and the server communication unit 370 of the weather information providing server 300 can exchange information through mutual communication.

The step of taking the image in step S110 is to take an image using a camera when the moving means reaches the image acquisition GPS coordinate set in step S100.

To this end, while the vehicle 100 is driving the road, the control unit 140 determines that the GPS coordinates received by the GPS receiver 130 and the image acquisition GPS coordinates 210 registered in the measurement coordinate unit 160 are matched. When (S111), the camera unit 120 is controlled to take an image including the region of interest (ROI) (S112), and the captured image is analyzed by itself or by transmitting it to the weather information providing server 300 It can be made to proceed (S113).

Step S120 is a step of analyzing the image to detect the presence or absence of the fog and the visibility distance using the received image, and may be configured to be performed in four steps.

First, it should be determined that there is fog in all images received from two or more image acquisition GPS coordinates (S121).

As described above, the fog is free to change depending on the time and surrounding climatic conditions, so it is determined that all the images taken by distance from the front of one region of interest (ROI) are fogged before moving to the next method for analyzing the presence or absence of fog. .

For example, if the image acquisition GPS coordinates are set at 150m, 100m, and 50m before the region of interest (ROI), it should be determined that there is fog in the region of interest (ROI) extracted from the three images captured at the corresponding point.

Of course, if it is determined in step S121 that there is no fog in any of the distance-specific images, the region may be determined to have no fog (S132).

The presence or absence of this generation of fog may be performed by any one of a fog concentration measurement method, a contour extraction method, or a brightness analysis method.

In other words, when analyzing the images for each distance by the three types of fog analysis methods (fog concentration measurement, contour extraction, and brightness analysis), all have the same fog. If any one is analyzed to be free of fog, it is determined that there is no fog at that distance.

By repeating this process, it is determined whether there is fog by distance, and if the analysis result by distance is determined to have the same fog, there is fog. It is judged that there is no.

Calculation of the presence or absence and visibility of the fog by the fog concentration measurement method in step S122, the calculation of the presence and visibility of the fog by the contour extraction method in step S123, and the detailed description of the method for determining the presence or absence of fog by the brightness measurement method in step S124 Is the same as the determination method of the fog measurement unit described in the above-described fog detection apparatus, and will be omitted.

When the presence or absence of fog for the region of interest ROI is detected in step S120, the control unit 140 of the moving means 100 determines whether there is fog or no fog (S130).

If it is determined in step S130 that the fog is present, the control unit 140 determines the visibility at the time of analyzing the presence or absence of fog by the fog concentration measurement method in step S122 when analyzing the fog in the first fog measurement unit 150 and the step S123. When analyzing the presence or absence of fog by the contour extraction method, the analyzed correction distance is calculated to determine the common calculated distance as the correction distance, and when it is determined that there is fog, the correction distance is also transmitted as fog data (S140).

In step S140, when analyzed by the means of transportation, when the data is transmitted to the weather information providing server 300 as fog data including the presence and visibility of the fog, the weather information providing server 300 determines whether the fog is present and the visibility distance for each road. It is displayed on the electric signboard or in the situation room or transmitted as weather information.

As described above, according to the fog detection apparatus and method using the coordinate system of the present invention, it is possible to accurately transmit fog information since it can guide by measuring the presence or absence of the fog and the viewing distance without error in real time.

In the above, the present invention has been described in detail with respect to the described embodiments, but it is apparent to those skilled in the art that various modifications and variations are possible within the scope of the technical idea of the present invention, and it is natural that such modifications and modifications belong to the appended claims.

100: means of transportation 120: camera unit
130: GPS receiver 150: first fog measuring unit
160: measuring coordinate 200: region of interest (ROI)
210: Image acquisition GPS coordinate 300: Weather information providing server
360: second fog measuring unit 400: road

Claims (5)

In the fog detection apparatus using a coordinate system to set the two or more areas to measure the presence or absence of fog on the road as a region of interest (ROI) and detect the presence and visibility of fog using the image of the region of interest,
A moving unit equipped with a camera unit for real-time photographing a surrounding image of a region of interest set while driving the corresponding road;
A fog measurement unit that extracts an image of a region of interest (ROI) from an image photographed by the camera unit of the moving means and measures the presence or absence of the fog and the visibility distance of the region of interest;
A weather information providing server that receives the presence or absence and visibility of the fog detected by the fog measurement unit and displays it on a billboard or situation room of the corresponding road or transmits it as weather information;
Fog detection device using a coordinate system comprising a.
The method according to claim 1,
The moving means
A camera unit that photographs a surrounding image including a set region of interest (ROI);
A GPS receiver that extracts coordinates by receiving the current GPS position of the mobile means;
A measurement coordinate unit storing two or more image acquisition GPS coordinates for capturing surrounding images using the camera unit;
A control unit that controls the camera unit to take an image when the GPS coordinates received through the GPS receiver and the image acquisition GPS coordinates registered in the measurement coordinate unit match;
Fog detection device using a coordinate system comprising a.
The method according to claim 2,
The measurement coordinate part
By setting at least one region of interest (ROI) on the relevant road for each one or more roads of express highways, general highways, metropolitan roads, metropolitan roads, provincial roads, cities, islands, and old roads, according to the direction of movement of the vehicle before the areas of interest A fog detection device using a coordinate system that sequentially sets two or more image acquisition GPS coordinates.
In the fog detection method using a coordinate system for obtaining an image from a camera mounted on a vehicle, and detecting the presence and intensity of fog from the acquired image,
(a) setting at least one region of interest (ROI) on the road and two or more image acquisition GPS coordinates to acquire an image in a direction in which the moving means proceeds toward the region of interest;
(b) if the GPS coordinates received by the image acquisition GPS coordinates and the current mobile means match, controlling to acquire an image using the camera;
(c) analyzing the acquired image to detect the presence or absence of fog and the visibility distance of the region of interest and transmitting the detected result to the weather information providing server; and
(d) the weather information providing server displaying the presence or absence of the fog and the visibility distance detected in step (c) on a billboard or situation room for each road or transmitting the weather information;
Fog detection method using a coordinate system comprising a.
The method according to claim 4,
The determination of the presence or absence of fog and the visibility distance in step (C) determines that there is fog in the final area of interest when it is determined that there is fog in both images received from two or more image acquisition GPS coordinates. When determining whether there is fog or not, when the results of the analysis by the fog concentration measurement method, the analysis by the contour extraction method, and the analysis by the brightness analysis method are consistent, it is judged that there is fog, and when it is finally determined that there is fog, A fog detection method using a coordinate system that calculates the visibility distance analyzed by the fog concentration measurement method and the contour extraction method.

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