Visibility range estimation system

Abstract

To provide a configuration that enables estimation of advertisement value within a given range without having to handle personal information such as facial data.SOLUTION: A visible range estimation system provided herein is configured to detect a flow of people within a target area S using point cloud data acquired by an infrared sensor 10, and estimate a visible range frequency, which increases in a range that tends to attract more attention of people, in the target range S on the basis of visible range information on a visible range of people with respect to a moving direction and a detection result of the people flow detection processing.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] The present invention relates to a visible range estimation system that uses an infrared sensor to estimate a range that attracts people's attention. [Background technology]

[0002] Conventionally, attempts have been made to evaluate the value of advertisements and the like in a given area, such as a train station, by estimating the range in which people's attention is attracted within that given area. For example, in the information processing system disclosed in Patent Document 1 below, various information, such as gaze information of people in a position likely to be influenced by the advertisement, changes in their walking speed and walking path, is obtained from images captured using a camera installed near the target advertisement, and processing is performed to generate an audience rating for the advertisement from this information. By using the audience rating generated in this way, it is possible to collect information on people who showed interest in the advertisement among those in the same advertisement-influenced position. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-144841 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the method of generating an audience rating and estimating the advertising value of a predetermined range as described above, it is necessary to sequentially capture images of the faces of an unspecified number of people walking within a target area with a camera. When capturing images of an unspecified number of people's faces with a camera in this way, personal information such as facial data must be handled with care, and there is also the problem that some people may feel psychological resistance to having their facial data obtained by a third party.

[0005] The present invention has been made to solve the above-mentioned problems, and its purpose is to provide a configuration that can estimate advertising value within a predetermined range without handling personal information such as facial data. [Means for solving the problem]

[0006] In order to achieve the above object, the visible range estimation system (1) according to claim 1 of the claims comprises: an infrared sensor (10) that acquires point cloud data as a measurement result of the shape of an object within a predetermined measurement range (S); The point cloud data acquired by the infrared sensor is used to measure the number of people within the predetermined measurement range. Movement direction A people flow detection unit (21) that detects an estimation unit (21) that estimates a visible range frequency that becomes higher as a range within the predetermined measurement range is more likely to attract people's attention, based on information about a visible range of a person based on a movement direction and a detection result of the people flow detection unit; Equipped with the information regarding the visible range of the person based on the direction of movement is set as visible range information so that the direction of movement is the range that is easiest to see and the further away from the direction of movement the more difficult it is to see, the detection result of the people flow detection unit includes a movement speed of people detected from the point cloud data; The estimation unit For each divided area obtained by dividing the predetermined measurement range into a plurality of areas, a temporal cumulative value of a weight that is set in multiple stages based on the movement speed detected by the people flow detection unit and a temporal cumulative value of a weight that is set in multiple stages based on the movement direction detected by the people flow detection unit and the visible range information are calculated, and the calculated sum is a total value The degree of visible range is estimated in multiple stages depending on the condition. The symbols in parentheses above indicate the correspondence with the specific means described in the embodiments to be described later. [Effects of the Invention]

[0007] In the invention of claim 1, point cloud data acquired by an infrared sensor is used to measure the location of people within a predetermined measurement range. Movement direction is detected by the people flow detection unit, The estimation unit calculates, for each divided area obtained by dividing a predetermined measurement range into a plurality of areas, a time-accumulated value of weighting that is set in multiple stages based on the movement speed detected by the people flow detection unit and a time-accumulated value of weighting that is set in multiple stages based on the movement direction detected by the people flow detection unit and visible range information, and calculates the visible range frequency in multiple stages according to the sum of the calculated sum. It is estimated.

[0008] As a result, it is possible to estimate that the range with a higher visibility range frequency within a predetermined measurement range has a higher advertising value. In particular, since the measurement results of the infrared sensor are used without using images captured by a camera, it is possible to estimate the advertising value of a predetermined range without handling personal information such as face data.

[0009] In the invention of claim 3, the estimation unit A predetermined measurement range is divided into a plurality of areas, and for each divided area, a time-accumulated value of weighting set in multiple stages based on the movement speed and density detected by the people flow detection unit and a time-accumulated value of weighting set in multiple stages based on the movement direction and visible range information detected by the people flow detection unit are calculated, and the summed total value is calculated. The visible range frequency is estimated in multiple stages depending on the surroundings. For example, in an area where the density of people is high, it is more difficult to see the surroundings than in an area where the density of people is low, so the visible range frequency is estimated to be relatively low. By taking the density of people into consideration in this way, the visible range frequency is estimated to be more appropriate for the actual environment, thereby improving the estimation accuracy of the visible range frequency.

[0010] Claim 4 In the invention, a visibility map that maps the visibility range degrees estimated by the estimation unit is displayed on the display unit, so that it is possible to grasp at a glance visibility ranges with high advertising value and visibility ranges with low advertising value.

[0011] Claim 5 In the invention, the area value index information acquisition unit acquires area value index information for assigning an index of value to each divided area obtained by dividing a predetermined measurement range into a plurality of areas, and the display unit displays the area value index information acquired by the area value index information acquisition unit. index By utilizing this information, an index of the value assigned to the specified divided area is added to and displayed on the visibility map. As a result, when, for example, land price information for each divided area is acquired as area value index information, it is possible to easily search for divided areas with a relatively high visibility range frequency and relatively low land prices, i.e., visibility ranges with high advertising value. On the other hand, a business operator who sets land price information for a specified measurement range can confirm in advance the validity of the land price information to be set.

[0012] Claim 6In the invention, information regarding an estimation-unnecessary range within a predetermined measurement range that does not require estimation of the visible range frequency is stored in the storage unit, and the estimation unit estimates the visible range frequency within the predetermined measurement range excluding the estimation-unnecessary range based on the information stored in the storage unit. As a result, by storing information about unvisible ranges such as areas beyond walls in the storage unit as information about the estimation-unnecessary range, the visible range frequency of the estimation-unnecessary range is not estimated, making it possible to reduce the processing load related to the estimation process, etc. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a block diagram showing a schematic configuration of a visible range estimation system according to a first embodiment. [Figure 2] FIG. 1 is an explanatory diagram illustrating the relationship between the range of central vision and the range of peripheral vision of a person based on the direction of movement. [Figure 3] FIG. 10 is an explanatory diagram illustrating the relationship between each element of movement speed, density, and field of view and weight. [Figure 4] Figure 4(A) is an explanatory diagram illustrating a state in which a target area where two people were present is divided into multiple divided areas, and Figure 4(B) is an explanatory diagram illustrating a visibility map corresponding to Figure 4(A). [Figure 5] 4 is a flowchart illustrating the flow of a visible range estimation process performed by a control unit in the first embodiment. [Figure 6] FIG. 10 is an explanatory diagram illustrating an example of a target area in which a visible range estimation process is performed. [Figure 7] FIG. 7 is an explanatory diagram illustrating a state in which the target area of ​​FIG. 6 is divided into a plurality of divided areas. [Figure 8] FIG. 8 is an explanatory diagram illustrating a visibility map in which the visibility range power is assigned to each divided area for the target area in FIG. 7 and displayed. [Figure 9] FIG. 10 is an explanatory diagram illustrating a visibility map, which is a main part of the visible range estimation system according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] [First embodiment] A first embodiment of a visible range estimation system according to the present invention will be described below with reference to the drawings. The visible range estimation system 1 according to this embodiment is a system that estimates a range within a predetermined measurement range that is likely to attract people's attention using point cloud data acquired by an infrared sensor. In this embodiment, the visible range estimation system 1 is configured to include a plurality of infrared sensors 10 arranged in a target area S that corresponds to the predetermined measurement range, and an information processing device 20 that performs processing to estimate a range within the target area S that is likely to attract people's attention using the point cloud data acquired by each infrared sensor 10, as shown in Fig. 1 .

[0015] The infrared sensor 10 is configured such that when the infrared light projected by the light projecting unit is deflected and irradiated externally by the oscillating mirror, the deflection direction by the oscillating mirror scans up and down and left and right, and the externally reflected light corresponding to the infrared light irradiation is received by the light receiving unit via the oscillating mirror, thereby acquiring point cloud data as a measurement result of the three-dimensional shape of an object within a predetermined measurement range. The specific detailed configuration of the infrared sensor 10 can be equivalent to that of the laser radar device disclosed in Japanese Patent No. 6772667, for example.

[0016] Each of the infrared sensors 10 configured in this manner is installed on the ceiling or the like of the target area S at a predetermined distance apart so that the entire target area S is within its measurement range. Each of the infrared sensors 10 is configured to output the acquired point cloud data to the information processing device 20 via wired or wireless communication at a predetermined timing.

[0017] The information processing device 20 is, for example, a personal computer, and as shown in FIG. 1, in addition to a control unit 21 consisting of a CPU or the like and a storage unit 22 consisting of a semiconductor memory or the like, it is equipped with a display unit 23 whose display content is controlled by the control unit 21, an operation unit 24 that outputs an operation signal to the control unit 21 in response to an input operation, and a communication unit 25 for communicating with external devices.

[0018] The point cloud data acquired (received) from each infrared sensor 10 at a predetermined timing is stored in the storage unit 22 as people flow detection data for detecting the flow of people within the target area S, together with the position information of the infrared sensor 10, etc. In this embodiment, the infrared sensor 10 is used to detect the flow of people, and the point cloud data acquired using the infrared sensor 10 is different from data that could be personal information, such as face data acquired from camera images, so there is no need to be careful about how the data is handled from the perspective of personal information.

[0019] The information processing device 20 detects the flow of people within the target area S using people flow detection data accumulated for a certain period of time in the memory unit 22, and performs a visibility range estimation process to estimate an area that is likely to attract people's attention based on the detection results and visibility range information described below.

[0020] When a person is present within the measurement range of the infrared sensor 10, point cloud data corresponding to the person's shape is acquired, and as the person moves, the point cloud data changes accordingly. Therefore, the flow of people can be detected based on the time-varying change in the point cloud data. Based on the detected flow of people in this way, the movement speed V of people and the crowded area (the area with high human density D) can be determined. When the movement speed V is fast or when the area with high density D is high, visibility decreases. Therefore, the results of the flow of people, including the movement speed V and density D of people detected from the point cloud data stored in the memory unit 22 as people flow detection data (hereinafter also referred to as people flow detection results) can be used to estimate areas that are likely to attract people's attention.

[0021] 2, the visible range of a moving person is the range (central vision range E1) in which the direction of movement (direction of travel) is the easiest to see, and the further away from the direction of movement it is the less visible the range (peripheral vision range E2). In this embodiment, information about the central vision range E1 including the angle and distance and the peripheral vision range E2 including the angle and distance, i.e., information about the person's visible range based on the direction of movement, is common to all people in the target area S and is stored in advance in the storage unit 22 as visible range information.

[0022] For this reason, in this embodiment, in order to estimate the range within the target area S that is likely to attract people's attention, the target area S is divided into multiple areas (divided areas), and for each divided area, a visible range frequency is estimated based on the visible range information and the people flow detection results, with the visible range frequency being higher in areas that are likely to attract people's attention.

[0023] Specifically, in this embodiment, as illustrated in FIG. 3 , for each divided area, the weights are determined as “large,” “medium,” or “small” for three elements: the movement speed V and density D, which are the people flow detection results, and the field of view calculated from the people flow detection results and the visible range information. Because people with high movement speeds have difficulty overlooking their surroundings compared to people with low movement speeds, the weight for movement speed V is set to “large” if it is below a threshold V1, “small” if it is above a threshold V2, and “medium” if it is equal to or greater than threshold V1 and equal to or less than threshold V2. Furthermore, because people have difficulty overlooking their surroundings in areas with high people density compared to areas with low people density, the weight for density D is set to “large” if it is below threshold D1, “small” if it is above threshold D2, and “medium” if it is equal to or greater than threshold D1 and equal to or less than threshold D2. Then, for each divided area, the visible range frequency is estimated in three stages according to the cumulative value over time of the result of quantifying and adding up the weights. As can be seen from Figure 3, the visible range power is estimated at a higher level by assigning a larger weight to divided areas where the movement speed V and density D are likely to remain low and are therefore more likely to fall into the central vision range E1, and the visible range power is estimated at a lower level by assigning a smaller weight to divided areas where the movement speed V and density D are likely to remain high and are less likely to fall into the central vision range E1 or peripheral vision range E2 (divided areas that are more likely to be outside the field of view).

[0024] For this reason, for example, as illustrated in Fig. 4(A), when a target area S containing two people is divided into multiple divided areas, the visible range frequency can be calculated for each divided area by using the visible range information and people flow detection data stored in the memory unit 22. Furthermore, as illustrated in Fig. 4(B), a visibility map in which each visible range frequency is mapped can be displayed on the display unit 23. Note that in Fig. 4(B), the "large" divided area with the highest visible range frequency is cross-hatched, the "medium" divided area with an intermediate visible range frequency is hatched, and the "small" divided area with the lowest visible range frequency is not hatched.

[0025] Hereinafter, the visible range estimation process performed by the control unit 21 when displaying a visibility map for the target area S shown in FIG. 6 will be described in detail with reference to the flowchart illustrated in FIG. 5. It is assumed that the target area S corresponding to FIG. 6 is divided into divided areas as shown in FIG. 7 by a plurality of infrared sensors 10 (not shown) arranged at predetermined positions, and the visible range estimation process is started in a state in which point cloud data measured by each infrared sensor 10 over a predetermined period is stored in the storage unit 22 as people flow detection data. It is also assumed that information regarding an estimation-unnecessary range Sn within the target area (predetermined measurement range) S, within which estimation of the visibility range frequency is not required, is stored in the storage unit 22. Here, the information regarding the estimation-unnecessary range Sn may be, for example, information indicating a range that is not visible to people walking along a passage in the target area S, such as position information of walls, pillars, etc. When information regarding the estimation-unnecessary range Sn is stored in the storage unit 22 in this manner, divided areas are not set in the estimation-unnecessary range Sn in FIG. 7.

[0026] When the control unit 21 starts the visible range estimation process in response to a predetermined operation on the operation unit 24, first, a people flow detection data acquisition process shown in step S101 of Fig. 5 is performed. In this process, people flow detection data related to the target area S for the period for which the visible range frequency is to be estimated is read and acquired from the storage unit 22. Next, a people flow detection process shown in step S103 is performed, and the flow of people within the target area S is detected based on changes over time in point cloud data corresponding to the shapes of people from the acquired people flow detection data. Note that the control unit 21 that performs the above-mentioned people flow detection process can correspond to an example of a "people flow detection unit."

[0027] Next, a weight calculation process is performed in step S105. In this process, a time-accumulated value related to the weight is calculated for each of the two elements, namely, the moving speed V and the density D, for each divided area obtained from the detected flow of people as described above, and a time-accumulated value related to the weight is calculated for the element of the field of view obtained from the flow of people and the visible range information.

[0028] Then, a visible range frequency estimation process is performed in step S107. In this process, the visible range frequency is estimated according to the temporal cumulative value of the result of quantifying and adding up the weights calculated for each divided area as described above. Note that control unit 21 performing the visible range frequency estimation process can correspond to an example of an "estimation unit."

[0029] Once the visible range frequency is estimated for each divided area in this way, a visibility map display process shown in step S109 is performed. In this process, the visible range frequency estimated as described above is displayed on the screen of the display unit 23 so that it is assigned to the target area S for each divided area. For example, for the target area S divided into divided areas as shown in FIG. 7, the visible range frequency is displayed so that it is assigned to each divided area, as shown in the example of FIG. In the visibility map display process, the visible range frequency can be displayed in a distinguishable manner using a color display or the like, but in the example of FIG. 8, for the sake of convenience, the "large" divided area with the highest visible range frequency is cross-hatched, the "medium" divided area with the intermediate visible range frequency is hatched, and the "small" divided area with the lowest visible range frequency is not hatched.

[0030] By displaying the visibility map on the display unit 23 in this way, it can be recognized that divided areas with high visibility range frequencies are more likely to attract people's attention than divided areas with low visibility range frequencies, and it is possible to easily search for areas that are effective for posting advertisements and attracting customers, i.e., ranges with high advertising value, within the target area S. In the example of Fig. 8, it can be recognized that the walls of passages R3 and R5 are likely to attract people's attention, the walls of passages R2 and R4 are somewhat likely to attract people's attention, and the walls of passage R1 are unlikely to attract people's attention.

[0031] As described above, in the visible range estimation system 1 according to this embodiment, the flow of people within the target area S is detected using point cloud data acquired by the infrared sensor 10, and the visible range frequency is estimated to be higher for areas within the target area S that are more likely to attract people's attention, based on the visible range information related to the visible range of people based on the direction of movement and the detection results of the people flow detection process.

[0032] This makes it possible to estimate that the higher the visibility range frequency within the target area S, the higher the advertising value of the range. In particular, since the measurement results of the infrared sensor 10 are used without using images captured by a camera, it is possible to estimate the advertising value of a predetermined range (a visibility range with high advertising value) without handling personal information such as face data.

[0033] Then, in the visible range frequency estimation process, the visible range frequency is estimated by further considering the human density D obtained from the detection results of the people flow detection process. By considering the human density in this way, the visible range frequency is estimated to be more suited to the actual environment, thereby improving the estimation accuracy of the visible range frequency.

[0034] Furthermore, a visibility map in which the visibility range frequencies estimated by the visibility range frequency estimation process are mapped is displayed on the display unit 23, so that it is possible to grasp at a glance visibility ranges with high advertising value and visibility ranges with low advertising value.

[0035] In particular, when an estimation unnecessary range Sn relating to an estimation unnecessary range within a target area (predetermined measurement range) S for which estimation of the visible range frequency is not required is stored in the memory unit 22, the visible range frequency estimation process estimates the visible range frequency within the target area S excluding the estimation unnecessary range Sn based on the information stored in the memory unit 22.

[0036] As a result, by storing information about unvisible ranges such as areas beyond walls as information about the estimated unnecessary range Sn in the storage unit 22, the visible range frequency of the estimated unnecessary range Sn is not estimated, making it possible to reduce the processing load related to the visible range frequency estimation process. In particular, by displaying the estimated unnecessary range Sn on the visibility map so as to be distinguished from the divided areas whose visible range frequency has been estimated, the visibility map becomes easier to see and it is possible to prevent a decrease in visibility related to the visible range frequency.

[0037] [Second embodiment] Next, a visible range estimating system according to a second embodiment of the present invention will be described with reference to the drawings. In the second embodiment, the separately acquired area value index The main difference from the first embodiment is that the value index is added to the visibility map using the information. Therefore, the same reference numerals are used for the components that are substantially the same as those in the first embodiment, and the description thereof will be omitted.

[0038] In the visibility range estimation process performed by the control unit 21 in this embodiment, an index of value assigned to the specified divided area can be additionally displayed on the visibility map during the visibility map display process in step S109. In this embodiment, information on the land price of the wall surface, etc. related to the advertisement display (hereinafter simply referred to as land price information) is adopted as the index of value.

[0039] For this reason, in this embodiment, area value index information for assigning land price information (value index) for each divided area obtained by dividing the target area (predetermined measurement range) S into a plurality of areas is acquired in advance and stored in the storage unit 22. The area value index information can be acquired, for example, by receiving it from an external device via the communication unit 25, and the control unit 21 and communication unit 25 that perform processing for acquiring the area value index information in this manner can correspond to an example of an "area value index information acquisition unit." Note that the area value index information is not limited to being acquired by receiving it from an external device, and may also be acquired, for example, in response to an input operation on the operation unit 24.

[0040] When the visibility map is displayed on the display unit 23 with the area value index information stored in the memory unit 22 in this manner, the user can specify the desired divided area by performing a predetermined operation on the operation unit 24, and the land price information assigned to that divided area will be added to and displayed on the visibility map, as illustrated in Figure 9.

[0041] This makes it easy to search for divided areas with a relatively high visibility range frequency and relatively low land prices, i.e., visibility ranges with higher advertising value. On the other hand, if you are a business operator who sets land price information for the target area (predetermined measurement range) S, you can check the validity of the land price information you set in advance.

[0042] In addition, area value index information is not limited to information on land prices of walls etc. for advertising displays, but may also be, for example, information on tenant rent, or event hosting information such as the number of visitors to festivals and events, the number of stores etc.

[0043] The present invention is not limited to the above-described embodiments, and may be embodied as follows, for example. (1) The period to be estimated in the above-mentioned visibility range estimation process may be, for example, a weekday morning, a Saturday / Sunday afternoon, a weekend night, or a specified number of days within a specified time period, and can be set arbitrarily by the user.

[0044] (2) The elements for which weights should be set are not limited to the three elements of movement speed V, density D, and field of view described above, but may be two elements, for example, movement speed V and field of view, or another element may be added to at least one of the movement speed V, density D, and field of view described above. Furthermore, the weights for each element are not limited to being set in three stages, "large," "medium," and "small," but may be set in two stages, for example, "large" and "small," or may be set in four or more stages.

[0045] (3) The visible range frequency is not limited to being estimated in three stages according to the cumulative time value of the result of quantifying and adding up each weight, but may be estimated in two stages or four or more stages. Also, the visible range frequency is not limited to being estimated according to the cumulative time value of the result of quantifying and adding up each weight, but may be estimated according to the cumulative time value of each weight using other statistical methods.

[0046] (4) The number of divided areas may be determined in advance for the target area (predetermined measurement range) S, or may be arbitrarily set by the user each time. [Explanation of symbols]

[0047] 1...Visual range estimation system 10...Infrared sensor 20...Information processing device 21...Control unit (people flow detection unit, estimation unit, area value index information acquisition unit) 22...Storage section 23…Display section S...Target area (specified measurement range) Sn: No estimation required range

Claims

1. an infrared sensor that acquires point cloud data as a measurement result of the shape of an object within a predetermined measurement range; a people flow detection unit that detects the direction of movement of people within the predetermined measurement range by using the point cloud data acquired by the infrared sensor; an estimation unit that estimates a visible range frequency that becomes higher as a range within the predetermined measurement range is more likely to attract people's attention, based on information about a visible range of a person based on a movement direction and a detection result of the people flow detection unit; Equipped with the information regarding the visible range of the person based on the direction of movement is set as visible range information so that the direction of movement is the range that is easiest to see and the further away from the direction of movement the more difficult it is to see, the detection result of the people flow detection unit includes a movement speed of people detected from the point cloud data; the estimation unit calculates, for each divided area obtained by dividing the predetermined measurement range into a plurality of areas, a temporal cumulative value of weighting that is set in multiple stages based on the movement speed detected by the people flow detection unit and a temporal cumulative value of weighting that is set in multiple stages based on the movement direction detected by the people flow detection unit and the visible range information, and estimates the visible range frequency in multiple stages according to the summed total value.

2. an infrared sensor that acquires point cloud data as a measurement result of the shape of an object within a predetermined measurement range; a people flow detection unit that detects the direction of movement of people within the predetermined measurement range by using the point cloud data acquired by the infrared sensor; an estimation unit that estimates a visible range frequency that becomes higher as a range within the predetermined measurement range is more likely to attract people's attention, based on information about a visible range of a person based on a movement direction and a detection result of the people flow detection unit; Equipped with the information regarding the visible range of the person based on the direction of movement is set as visible range information so that the direction of movement is the range that is easiest to see and the further away from the direction of movement the more difficult it is to see, the detection result of the people flow detection unit includes a density of people detected from the point cloud data; the estimation unit calculates, for each divided area obtained by dividing the predetermined measurement range into a plurality of areas, a temporal cumulative value of weighting that is set in multiple stages based on the density detected by the people flow detection unit and a temporal cumulative value of weighting that is set in multiple stages based on the movement direction detected by the people flow detection unit and the visible range information, and estimates the visible range frequency in multiple stages according to the summed total value.

3. The detection result of the people flow detection unit further includes a density of people detected from the point cloud data, 2. The visible range estimation system according to claim 1, wherein the estimation unit calculates, for each divided area obtained by dividing the predetermined measurement range into a plurality of areas, a temporal cumulative value of weighting that is set in multiple stages based on the movement speed and the density detected by the people flow detection unit and a temporal cumulative value of weighting that is set in multiple stages based on the movement direction detected by the people flow detection unit and the visible range information, and estimates the visible range frequency in multiple stages according to the summed total value.

4. The visible range estimation system according to any one of claims 1 to 3, further comprising a display unit on which a visibility map is displayed in which the visible range frequency estimated by the estimation unit is mapped.

5. an area value index information acquisition unit that acquires area value index information for assigning an index of value to each divided area obtained by dividing the predetermined measurement range into a plurality of areas; 5. The visible range estimation system according to claim 4, wherein the display unit uses the area value index information acquired by the area value index information acquisition unit to add and display the value index assigned to the specified divided area to the visibility map.

6. a storage unit that stores information about an estimation-unnecessary range within the predetermined measurement range in which the degree of the visible range does not need to be estimated, The visible range estimation system according to any one of claims 1 to 5, characterized in that the estimation unit estimates the visible range frequency based on information stored in the storage unit, excluding the estimation-unnecessary range within the predetermined measurement range.

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