KR102257078B1 - Fog detection device using coordinate system and method thereof - Google Patents

Abstract

A fog detection apparatus and method using a coordinate system are disclosed. The fog detection apparatus using a coordinate system for detecting the presence or absence of fog and a visibility distance by setting two or more regions of interest (ROI) to measure the presence or absence of fog on a road and using an image of the corresponding region of interest, A moving means equipped with a camera unit that captures an image of a set region of interest in real time while driving, and an image of a region of interest (ROI) from the image captured by the camera unit of the moving means are extracted to determine the presence or absence of fog in the region of interest and the visibility distance. The presence or absence of fog in the area is configured to include a fog measuring unit to measure and a control server that receives the presence or absence of fog detected by the fog measurement unit and the visibility distance and displays it on an electronic signboard or situation room of the corresponding road or transmits it as weather information. And visibility distance as fog analysis information, there is an effect that it can accurately provide in real time.

Description

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

The present invention relates to a fog detection device, and more particularly, a fog detection device using a coordinate system that measures and displays the presence and intensity of fog by applying a fog detection technology based on an image captured by a camera mounted on a moving means, and It's about how.

Weather information is information about the weather that has a lot of influence on daily life.

Recently, the Meteorological Administration has opened weather forecasting to private weather forecasting companies, and as the weather fluctuates severely due to climate change, interest in meteorological information is increasing.

In order to accurately monitor and predict meteorological information, meteorological data must be acquired through installation of meteorological equipment.

Weather conditions (fog, rain, snow) obstruct the driver's view and become a major factor causing traffic accidents. To date, safety facilities against fog include safety signs, fog barriers, LED gaze guidance lights, fog lights, and speeding. Control equipment is installed and operated.

These safety facilities are installed/operated only in areas of fog that occur regularly, so they are not able to effectively respond to fog that occurs indefinitely in space and time.

In particular, as the risk of traffic accidents due to fog has emerged as a social issue, the installation of safety hazard indication facilities in preparation for the occurrence of fog in road design is being actively carried out. As one method for this, a fog warning system has been developed and installed to measure the occurrence of fog and visibility, and to warn the driver through it, but the method of measuring the visibility distance using auxiliary facilities requires installation of a separate target. There is a problem that separate costs are incurred according to the problem. In addition, the conventional visibility distance measurement method has a problem in that it is difficult to calculate visibility when the division between day and night is ambiguous, such as at dawn. Accordingly, there is a need for a method capable of measuring the visibility distance over a relatively large area and measuring the visibility distance at low cost.

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

An object of the present invention for solving such a problem is to provide a fog detection apparatus and method using a coordinate system capable of detecting the presence or absence of fog and a visibility distance in an image photographing 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 or absence of fog and the visibility distance in real time by photographing an image of a set region of interest while driving by attaching a camera to a moving means that always travels on a corresponding road. It has a different purpose to provide.

Another object of the present invention is to provide a fog detection apparatus and method using a coordinate system in which a fog detection function is improved by using a plurality of fog detection methods in each image captured by a distance of one ROI.

Fog using a coordinate system that sets two or more regions of interest (ROI) to measure the presence or absence of fog on the road in order to solve the above-described problem, and detects the presence or absence of fog and the visibility distance using the image of the corresponding 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 set region of interest in real time while traveling on a corresponding road and an image of the region of interest (ROI) from the image captured by the camera unit of the moving means. A fog measurement unit that measures the presence or absence of fog and visibility distance, and a weather information providing server that receives the presence or absence of fog and the visibility distance detected by the fog measurement unit and displays it on an electronic 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 and detecting the presence and intensity of fog from the acquired image for solving the above-described problem, (a) on a road Setting two or more image acquisition GPS coordinates to acquire an image in at least one ROI and a direction in which the moving means proceeds toward the corresponding ROI, 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 of fog and the visibility distance in the region of interest, and provide weather information with the detected result The step of transmitting to the server and (d) the weather information providing server is accomplished by including the step of displaying the presence or absence of fog and the visibility distance detected in step (c) on an electronic board or situation room for each road, or transmitting as weather information. Can be.

In step (C), when it is determined that there is fog in all images received from two or more image acquisition GPS coordinates, it is determined that there is fog in the relevant region of interest. The determination of the presence or absence of the visibility distance is determined by the presence of fog when the results of the analysis by the fog concentration measurement method, the result of the contour extraction method, and the result of the analysis by the brightness analysis method all agree, and when it is finally determined that there is fog, the fog The extracted visibility 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, fog information is provided in real time because the presence or absence of fog and visibility distance are analyzed by measuring images of a corresponding region of interest from a plurality of vehicles constantly traveling on the corresponding road. There is an effect that can be done.

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 fog detection unit analyzes an image by distance for one region of interest and/or the fog measurement unit determines the presence or absence of fog by two or more methods. There is an effect that can provide reliable fog information.

In addition, according to the fog detection apparatus and method using the coordinate system of the present invention, information on the visibility distance as well as information on the presence or absence of fog can be provided, so that the road can be driven more efficiently.

1 is a diagram for explaining the concept of fog detection using a coordinate system according to an embodiment of the present invention;
2 is a main configuration diagram of a fog detection apparatus according to an embodiment of the present invention,
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 an ROI and identifying whether there is fog or not;
5 is a diagram illustrating a case of determining the presence or absence of fog in a measured image for each distance;
6 is a diagram illustrating a case of determining the presence or absence of fog by a fog concentration measurement method and an outline extraction method;
And
7 is a diagram illustrating a case of determining the presence or absence of fog by brightness.

Terms and words used in the present specification and claims are not limited to the usual or dictionary meanings, and the inventor is based on the principle that the concept of terms can be appropriately defined in order to describe his or her invention in the best way. It should be interpreted as a meaning and concept consistent with the technical idea of the present invention.

Throughout the specification, when a part "includes" a certain component, it 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.

Throughout the specification, the term "and/or" is to be understood as including all possible combinations from one or more related items. For example, the meaning of “a first item, a second item and/or a third item” may be presented from two or more of the first, second or third items as well as the first, second or third items. It means a combination of all possible items.

In the entire specification, the identification code (for example, a, b, c, ...) is used for convenience of description, and the identification code does not limit the order of each step, and each step is It may occur differently from the specified order unless a specific order is clearly stated in the context. That is, each of the steps may occur in the same order as the specified order, 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 an image photographing means that moves on a road, such as a vehicle capable of taking an image of a set area while driving on any one or more of a high-speed national highway, a general national highway, a metropolitan city, a metropolitan city, a local road, a city, an island, or an old road Shall mean.

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

1 is a diagram for explaining a 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 apparatus according to an embodiment of the present invention.

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

Referring to FIG. 1, while the moving means 100 is driving on the road 400, a region of interest (ROI) 200 set in front is photographed in an image acquisition section 210 set for each approach 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 that can be photographed by a camera mounted on a moving means passing through the image acquisition section 210.

For example, among the areas where a fixed camera can take pictures at all times, such as a black box, the presence or absence of fog and an area in which the visibility distance can be easily determined is set.

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 where the ROI 200 is to be photographed when the means of movement passes through the corresponding area, is set as a GPS coordinate, and is detected by the moving means 100 to pass the corresponding GPS coordinates. In order to take an image at this time, it is preferable to install two or more for each distance across the ROI.

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 the GPS coordinate of the point is x1 point 211 as the first image acquisition GPS coordinate. , 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 100m before the ROI, and the image acquisition GPS coordinates may be set as 150m, 100m, and 50m before the ROI.

In addition, the ROI 200 is set on any one or more roads among high-speed national highways, general national highways, special cities, metropolitan cities, local highways, cities and provinces, archipelago, and old roads that can capture surrounding images by attaching a camera like a vehicle. In addition, it is desirable to divide the road by section and set a plurality of them to detect fog and provide information over the entire road.

In addition, it goes without saying that areas with frequent fog and areas with frequent fog should be included in the area of interest so that they can be specially managed.

To this end, the moving means 100 may measure the presence or absence of its own fog and the visibility distance from the captured image, and may transmit this 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 of interest as ROIs to measure the presence of fog on the road, and detects the presence or absence of fog and the visibility distance using the image of the corresponding region of interest. , A region of interest (ROI) in the image captured by the moving means 100 and the camera unit 120 of the moving means 100 equipped with a camera unit 110 for recording an image of a set region of interest in real time while driving on the corresponding road. ) Extract the image of 200 to measure the presence or absence of fog in the region of interest and the visibility distance, and receive the presence or absence of fog and the visibility distance detected by the fog measurement units 150 and 360, and receive the display board of the corresponding road. Or it is configured to include a weather information providing server 300 that is displayed in the situation room or transmitted as weather information.

The fog measurement units 150 and 360 are configured to receive an image of a region of interest and measure the presence or absence of fog and a visibility distance, and a method for self-analysis by configuring the first fog measurement unit 150 directly from the moving means 100 And a second fog measurement unit 360 that transmits the image captured by the moving means 100 and analyzes it by the weather information providing server 300.

First, the moving means 100 is equipped with a camera unit 120, photographs an ROI 200 while driving on the road, and detects the presence or absence of fog and the visibility distance from the first fog measurement unit 150, and the communication unit Through 110, the analysis information is transmitted to the meteorological information providing server 300 as fog information, or if the first fog measuring unit 150 is not present, an image is transmitted to the weather information providing server 300 to provide a meteorological information server. It can be analyzed at (300).

The camera unit 120 is fixed and receives a signal to shoot an image from the control unit 140 or is constantly capturing an image, and when the control unit 140 determines that the image acquisition GPS coordinates are determined, the corresponding image is converted to the first fog measurement unit ( 150).

Preferably, the camera unit 120 always captures an image, stores it in the image storage unit 170 for each shooting time, and reads the image like a black box if necessary, and the control unit 140 determines that it is the image acquisition GPS coordinate 210 The GPS coordinates captured in the image storage unit 170 and the unique identification number of the moving means are stored together with the image in the case of the case, and the image is analyzed by the first fog measuring unit 150 to determine the presence or absence of fog and the visibility distance. You can make it measurable.

In particular, since the camera unit 120 can be mounted on a plurality of moving means, in the case of photographing and transmitting an image, the camera unit 120 is transmitted together with the owner of the moving unit or a unique identification code to which the camera unit 120 is mounted and transmitted from any moving unit. It is necessary to distinguish whether it is.

In the case of an IP camera, only the IP address needs to be transmitted, and in the case of a general camera, a unique identification code including the identification code of the owner can be transmitted.

In the present invention, a specific means of transportation may be equipped with a camera to take pictures while periodically traveling on a road, but a camera along with a unique identification code for a highway bus, patrol car, business vehicle, or commuting vehicle that periodically operates the road, etc. Since an image can be collected in real time by attaching a part, more accurate information can be provided by receiving an identification code for an 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 under the control of the control unit 140, the camera unit 120 operates to capture a front image.

To this end, the moving means 100 is a measurement storing two or more image acquisition GPS coordinates for photographing surrounding images by using the GPS receiver 130 and the camera unit 120 that receive the current GPS position of the moving means and extract the coordinates. A control unit that includes a coordinate unit 160 and controls the camera unit 120 to take 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. Consist of 140.

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

The first fog measurement unit 150 receives or receives an image captured by the camera unit 120 to detect the presence or absence of fog and a visibility distance.

Hereinafter, for convenience of description, it will be described by setting it as a case where the moving means includes the first fog measuring unit 150.

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

As an example, looking at the reference diagram for explaining the method of setting the region of interest and identifying the presence or absence of fog in FIG. 4, the upper figure shows that when the color is removed from the received image, if the outline is visible in the region of interest (ROI), there is no fog. 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 judged that there is fog.

In another way, the image when there is fog in the relevant region of interest, the image when there is no fog, or the image by visibility distance according to the intensity of the fog are stored in the first fog measuring unit 150 according to GPS coordinates, and then photographed. It is also possible to detect by comparing the stored image with and by comparing the presence or absence of fog and the visibility distance.

In addition, since the fog may change rapidly depending on weather conditions depending on the circumstances of the road, the first fog measuring unit 150 measures the presence or absence of fog in the image measured by distance, but accurately using a plurality of fog detection methods. It works so that it can be detected.

Also, since fog has a significant degree of influence on road safety depending not only on the frequency of occurrence, but also on the start time and dissipation time, it is necessary to proceed with different fog detection times and periods in consideration of the characteristics of each region for each season. You can provide information.

Normally, the fog start time is less than 500m visibility, 201% of the fog occurs at 5 o'clock and over 237% of the fog occurs at 6 o'clock, and it can be seen that 96.7% of the fog starts from 1 o'clock to 9 o'clock. The frequency of fog starting until 24 o'clock is very low at 3.3%, and the dissipation time is the most frequent between 6 and 7 o'clock. Overall, the fog starts to dissipate after sunrise, and most of the fog dissipates around 10 a.m. It appears that the fog is dissipating (Source: Journal of 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 from two or more image acquisition sections 210 by distance to the same ROI, it is determined that there is fog, and it is determined that there is no fog at any one location. If so, it is determined that there is no fog in the area.

In addition, the presence or absence of fog is determined by the presence or absence of fog as a case where the same result is obtained by three methods, namely, the fog concentration measurement method, the contour extraction method, and the brightness analysis method for the image at one location. That is, if 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 finally determined that there is fog in the region of interest, and it is determined that there is fog. In this case, the visibility distance is calculated by using the presence or absence of fog for each visibility distance analyzed by the fog concentration measurement method and the contour extraction method.

The fog concentration measurement method is a diagram illustrating the case of determining the presence or absence of fog by the fog concentration measurement method and the contour extraction method of FIG. 6. 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 divided into approximately 10 sections, and the concentration of the detected fog for each section is numerically displayed and displayed as a graph.

Looking at the good case in the upper figure, the values of each section are shown in a graph similarly, but in the case of fog, the density of the fog is low in the area near the screen, but it is gradually accumulated and the value increases as the distance increases. have.

The fog density measurement method analyzes each region of interest (ROI) that needs to be analyzed, and calculates the measured value using a variance formula for the color value of each pixel.

If there is no feature of fog, the measured variance value is 200 or more, and if there is feature of fog, the value is low depending on the concentration.

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

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

는 분산,

는 평균,

는 가중치이다.here

Is the variance,

Is the average,

Is the weight.

The contour extraction method analyzes the region of interest (ROI) that needs to be analyzed, and uses a general edge extraction method. The edge indicates the boundary of the object in the image, and the edge is the point where the contrast is large based on the contrast of the image, and a differential method is used to detect the rate of change in contrast and brightness, that is, the slope.

The threshold value for edge extraction is used as 10.

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

Since such a contour extraction method can use various publicly available methods, a detailed description thereof will be omitted.

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

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

In addition, by using the contour extraction method, it is possible to estimate the visibility distance according to the degree of extraction of the contours by step.

For example, if the step-by-step box on the left is reduced to the corresponding position in the red picture on the upper right, the starting point of the position where the outline indicated in red is visible can be converted to the visibility distance in the image.

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

The brightness analysis method refers to a graph showing the frequency distribution of a color, and referring to the diagram illustrating the case of determining the presence or absence of fog by the brightness of FIG. 7, if a hue histogram in a good case is viewed, the color for the region of interest (ROI) While the value (pixel value) is numerically displayed, when there is fog, it can be seen that the color value (pixel value) for the region of interest (ROI) is displayed as "0".

This lightness analysis method analyzes the region of interest (ROI) that needs to be analyzed and uses the HSL extraction method.

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

The analysis of fog has been described as analyzing the presence or absence of fog and the visibility distance in each moving means in order to provide rapid data, but the image captured by the camera unit 120 is received from the meteorological information providing server 300. It can also be used to determine the presence or absence of fog and the visibility distance.

Therefore, according to the set conditions, the controller 140 transmits the image or fog analysis information captured to the meteorological information providing server 300 through the communication unit 110 and at the same time receiving a request for image transmission from the meteorological information providing server 300 It can be operated to transmit the data to the meteorological information providing server 300.

That is, when the weather information providing server 300 designates an identification code and requests a captured image or analysis result, the controller of each moving means transmits the captured image or fog analysis information with the corresponding identification code.

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

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

The meteorological information providing server 300 may be a terminal installed in a weather official, a control center, a meteorological center, or a road traffic center, and by installing an application related to the present invention, analysis of the region of interest or the photographed image or fog of the corresponding road from each camera You can receive information and the like.

In particular, in the case of requesting an emergency text notification for a set area, when a sudden change in the fog in the area occurs in the weather information providing server 300, the stored application is automatically driven when the corresponding information is received from the weather information providing server 300. Thus, it is displayed on the screen and the received information is displayed so that the terminal manager or the holder can check it.

The weather information providing server 300 operates to receive and store the photographed image, fog analysis information, and identification code received from the mobile means, and then display or transmit the corresponding information if 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 by the multi-screen 2350, and regions where rapid changes are expected are other regions. You can make the screen flicker or beep to pay special attention.

In this case, the meteorological information providing server 300 sends an emergency notification to a local control center, a meteorological center, or a management agency such as a road traffic center. It is transmitted to the terminal so that terminal holders can share emergency information.

To this end, the meteorological information providing server 300 manages the authentication of the app installation of the terminal holder requesting information reception, and the user authentication unit 320 that manages authentication of the administrator's access to the server, and information on an electronic board or an administrator terminal. The data providing unit 330 for transmitting, and a camera DB 340 storing the identification code and image acquisition GPS coordinates of each moving means 100 and the GPS coordinates of the ROI area, and a photographed image for each identification code. And fog analysis information, and a storage unit 380 that stores an image representing the presence or absence of fog in each image acquisition GPS coordinate and an image representing the visibility distance, and a second fog that detects the presence or absence of fog and the visibility distance by analyzing the received image It may include a measurement unit 360 and a server communication unit 370 for communicating with 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 data on the presence or absence of fog and the visibility distance on an electric sign for each road or a situation room, or to transmit as weather information.

When a sudden change in fog is detected, the server control unit 310 generates a warning sound, provides emergency information for a corresponding area, and operates to issue a caution alert to vehicles passing through the corresponding area.

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

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

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

3 is a flowchart for explaining a method of detecting fog according to an embodiment of the present invention. As shown, the method of detecting a fog of the present invention acquires an image from a camera mounted on a moving means, and Presence and visibility are detected.

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

In the image acquisition GPS coordinates in step S100, a location where an image is to be photographed is set as the GPS coordinates and stored in order to calculate the presence or absence of fog and the visibility distance of the vehicle running on the road.

Preferably, the region of interest is first set, and the front of the region of interest is set as an image acquisition section, but an area in which the region of interest can be accurately photographed must be set.

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

As described above, a plurality of ROIs may be set on a corresponding road, and two or more image acquisition GPS coordinates are set in front of one 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 moving means 100 and the camera DB 340 of the weather information providing server 300, respectively.

Such image acquisition GPS coordinates 210 are changed by the administrator inputs the corresponding coordinates in the weather information providing server 300 and transmits the input coordinates to the moving means 100 through communication to change the data of the measurement coordinates unit 160 or Of course, you can add and delete them.

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

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

To this end, while the moving means 100 is traveling on 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 match. When it occurs (S111), the camera unit 120 is controlled to capture an image including an ROI (S112), and the captured image is analyzed by self-analysis or transmitted to the weather information providing server 300 for analysis. Can be made to proceed (S113).

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

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

As described above, the fog varies according to time and surrounding climatic conditions. Therefore, it is determined that all images taken by distance from the front of one ROI are determined to have fog before proceeding to the next stage fog analysis method. .

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

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

The presence or absence of a different fog can be performed by any one of the fog concentration measurement method, contour extraction method, or brightness analysis method.

In other words, when the three fog analysis methods (fog concentration measurement method, contour extraction method, and brightness analysis method) are analyzed for each distance image, it is assumed that there is fog in the same distance. If any of them are analyzed as having no fog, it is determined that there is no fog at that distance.

This process is repeated to determine the presence or absence of fog by distance, and if the analysis result by distance determines that there is fog equally, it is determined that there is fog. It is determined that there is no.

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

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

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

In step S140, when analyzed by the means of transportation, when the fog data including the presence or absence of fog and the visibility distance are transmitted to the meteorological information providing server 300, the meteorological information providing server 300 determines the presence or absence of fog and the visibility distance for each road. It is displayed on an electronic board or 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, since it is possible to guide by measuring the presence or absence of fog and the visibility distance without error in real time, there is an effect of accurately transmitting fog information.

In the above, the present invention has been described in detail with respect to the described embodiments, but it is obvious to those skilled in the art that various modifications and modifications 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: moving means 120: camera unit
130: GPS receiver 150: first fog measuring unit
160: measurement coordinates 200: region of interest (ROI)
210: Image acquisition GPS coordinates 300: Weather information providing server
360: second fog measuring unit 400: road

Claims (5)

In a fog detection device using a coordinate system that 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 visibility distance using an image of the corresponding region of interest,
A moving means equipped with a camera unit for photographing a surrounding image of a set region of interest while driving on the corresponding road;
A fog measuring unit that extracts an image of a region of interest (ROI) from the image captured by the camera unit of the moving means and measures the presence or absence of fog and a visibility distance of the region of interest; And
A weather information providing server that receives the presence or absence of fog detected by the fog measurement unit and a visibility distance, and displays it on an electric signboard or a situation room of a corresponding road, or transmits it as weather information;
Including,
The moving means
A camera unit for capturing an image of the surrounding area including the set ROI;
A GPS receiver configured to receive a current GPS position of the vehicle and extract coordinates;
A measurement coordinate unit storing two or more image acquisition GPS coordinates for photographing surrounding images using the camera unit;
If the GPS coordinates received through the GPS receiver and the image acquisition GPS coordinates registered in the measurement coordinates match, control the camera unit to take an image in the image acquisition section set for each approach distance, and When it is determined that there is fog in all of the images received from two or more image acquisition GPS coordinates for the first time, the control unit determines that there is fog in a corresponding region of interest;
Fog detection device using a coordinate system comprising a.
delete The method according to claim 1,
The measurement coordinate part
One or more areas of interest (ROI) are set on the corresponding road for each of any one or more roads among high-speed national highways, general national highways, special cities, metropolitan roads, regional roads, cities and cities, and before the area of interest, according to the direction of the moving means. A fog detection device using a coordinate system that sequentially sets two or more image acquisition GPS coordinates.


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