JP2011081615A - Device and method for estimating dead angle location - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To acquire useful information regarding a location serving as a dead angle for a pedestrian on a road, or the like, using positional information on a mobile terminal. <P>SOLUTION: A device 1 for estimating the dead angle location includes a position information acquisition section 11 for acquiring position information of a plurality of mobile terminals; an azimuth calculation section 13 for calculating the azimuth of a user of the mobile terminal for each position information based on the position information; a local information acquiring section 12 for acquiring local information, including information about the positions of a building and a road; a dead angle generating section 14 for generating dead angle information for each positional information, based on the location shown by the position information, the azimuth of the user of the positional information, and the local information; a dead angle counting section 15 for counting the dead angle information for each predetermined range in the road and estimating the dead angle location, and a processing result output section 16 for outputting information regarding the dead angle location. Thus, useful information regarding locations which are apt to be dead angles of a pedestrian can be acquired. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a blind spot location estimation device and a blind spot location estimation method.

  2. Description of the Related Art Conventionally, techniques for obtaining blind spots indoors and outdoors have been used in various fields. For example, in a CAD system for designing a layout inside a building, the configuration information in the building and the position information of the monitoring camera are used. Based on this, a system for displaying the blind spot of the surveillance camera is known (for example, see Patent Document 1).

JP 2008-146113 A

  In the above-described prior art, the blind spot is obtained based on the positional relationship between the obstacle camera and the surveillance camera when the surveillance camera photographs the inside of the building. On the other hand, for the purpose of finding a place with low visibility for pedestrians and vehicles traveling on the road, assuming the location of the passerby, the range of the passer's field of view, and the position of the road and the building Based on the relationship, it is possible to obtain the assumed blind spot of the passerby. However, the information regarding the blind spot obtained in this way is not very useful because it is not based on the actual passerby information.

  Accordingly, the present invention has been made in view of the above-described problems, and provides a blind spot location estimation apparatus and a blind spot location estimation method that can obtain useful information regarding a location that is a blind spot for a passerby such as a road. For the purpose.

  In order to solve the above-described problem, the blind spot location estimation device of the present invention estimates a blind spot location that is a place that is likely to be a blind spot of a passer-by based on position information indicating the location of the user of the mobile terminal. A position information acquisition means for acquiring a plurality of position information; an orientation calculation means for calculating the orientation of the user of the mobile terminal for each position information based on the position information of the mobile terminal; a building; Area information acquisition means for acquiring pre-stored area information including information on the position of the road, the location indicated in the position information, the user's azimuth of the position information calculated by the direction calculation means, and the area information Based on this, blind spot generating means for generating blind spot information, which is information related to the location of the user's blind spot, for each position information, and blind spot information generated by the blind spot generating means By summing the predetermined range in, characterized in that it comprises a blind spot aggregation means for estimating a blind spot locations, and a processing result output means for outputting information regarding a blind spot location estimated by the blind spot aggregator.

  In order to solve the above problem, the blind spot location estimation method of the present invention is a blind spot location that estimates a blind spot location that is likely to be a blind spot of a passer, based on position information indicating a location of the user of the mobile terminal. A position information acquisition step for acquiring a plurality of pieces of position information, and an azimuth calculation step for calculating, for each piece of position information, a direction in which the user of the mobile terminal is facing based on the position information of the mobile terminal; Area information acquisition step for acquiring pre-stored area information including information on the position of buildings and roads, the location indicated in the position information, the user's azimuth of the position information calculated in the direction calculation step, and the area Based on the information, a blind spot generation step for generating, for each position information, blind spot information that is information regarding a location that is a blind spot of the user, and a blind spot generation step. The blind spot information generated in step 1 is aggregated for each predetermined range on the road, and a blind spot count step for estimating the blind spot location and a processing result output step for outputting information on the blind spot location estimated in the blind spot count step are included. It is characterized by.

  When an application service that uses location information such as a route guidance service is used in a mobile terminal, the location information measured by the GPS device of the mobile terminal is used as information indicating the location of the mobile terminal. . When the mobile terminal uses an application service that uses position information as described above, a server device or the like that provides the application service can collect the position information of the mobile terminal. The position information collected in this way is information regarding actual passers-by. In the blind spot location estimation device and the blind spot location estimation method of the present invention, the blind spot information is generated using the acquired position information and area information. Therefore, the generated blind spot information is useful for an actual user who owns the mobile terminal. It becomes information about the place that becomes a blind spot in the area concerned. And since the blind spot location is estimated by totaling the generated blind spot information, it is possible to obtain useful information regarding a place that is likely to be a blind spot of a passerby.

  In the blind spot location estimating apparatus of the present invention, the position information includes information related to a positioning time that is a time at which the location indicated in the location information is determined, and the azimuth calculation means includes the location indicated in the one location information. Calculating an azimuth related to one position information based on a positional relationship between the position and the location indicated by the next position information which is the position information measured at a time after the positioning time of the one position information. Features.

  In this case, the user's traveling direction is estimated based on the location indicated in the position information continuously acquired on the time series, and the traveling direction is regarded as the user's direction, and the direction for each position information is calculated. Therefore, the user's direction can be calculated with high accuracy.

  Further, in the blind spot location estimation device of the present invention, the blind spot generating means obtains the user's field of view based on the location indicated in the position information and the user's orientation related to the position information, and the area acquired by the area information acquiring means The blind spot information is generated based on the positional relationship between the position of roads and buildings included in the information and the visual field of the user.

  In this case, it is possible to generate blind spot information with high accuracy based on the user's field of view obtained based on the user's direction and the positional relationship between the road and the building.

  Further, in the blind spot location estimating device of the present invention, the blind spot counting means counts the number of position information corresponding to the predetermined range of the road where the blind spot of the user indicated in the blind spot information corresponds to the predetermined range of the road, A blind spot location is estimated based on the counted number of position information.

  In this case, since the blind spot location is estimated by counting the number of pieces of positional information related to the user whose predetermined range of the road is a blind spot for each predetermined range, it is possible to estimate the blind spot location with high accuracy.

  Further, in the blind spot location estimation device of the present invention, the blind spot counting means acquires attribute information of the user of the mobile terminal stored in advance, and based on the attribute information related to the user of the mobile terminal indicated by the location information, The number of pieces of position information to be counted is weighted.

  In this case, for example, it is more useful in view of the object of the present invention to specify a problematic place such as low visibility due to blind spots by weighting when counting position information of elderly people. It is possible to obtain information on a blind spot location.

  In the blind spot location estimating apparatus of the present invention, the position information includes traffic mode information that is information indicating the type of the moving means of the user, and the blind spot counting means is a position where the moving means indicated by the traffic mode information is a walk. By counting the information, the number of pedestrians for each predetermined range of the road is acquired, and the blind spot location is estimated based on the number of pedestrians for each predetermined range of the road and the blind spot information.

  A place that is a blind spot for passers-by and a place with many pedestrians is a place where there is a high possibility that a problem due to the spot being a blind spot will occur. Therefore, in this case, since the blind spot location is estimated based on the blind spot information and the number of pedestrians, it is possible to obtain more useful blind spot location information.

  Further, the blind spot location estimation device of the present invention obtains the user's field of view based on the location indicated by the location information and the user's orientation related to the location information, and includes the road included in the location information acquired by the location information acquisition means. And visual field generation means for generating visual field information for each positional information based on the positional relationship between the position of the building and the visual field of the user for each positional information. The generated blind spot information and the visual field information generated by the visual field generator are aggregated for each predetermined range on the road to estimate the blind spot location.

  A place that is a blind spot for a passerby and that is not visible to a passerby is a place where a problem caused by a blind spot is likely to occur, for example, a crime is likely to occur. Therefore, in this case, since the blind spot location is estimated based on the blind spot information and the visibility information, it is possible to obtain more useful blind spot location information.

  Further, in the blind spot location estimation device of the present invention, the blind spot totaling unit includes the number of pieces of position information corresponding to a predetermined range of the road, and a field of view generation, where the blind spot of the user indicated by the blind spot information generated by the blind spot generating unit is included. The number of position information corresponding to the predetermined range of the road where the user's visible place indicated by the view information generated by the means corresponds to the predetermined range of the road, and the number of position information counted regarding the blind spot information, and The blind spot location is estimated based on the number of position information counted with respect to the visibility information.

  In this case, when the blind spot location is estimated based on the blind spot information and the visibility information, the number of position information related to the user whose predetermined range of the road is a blind spot, and the number of positional information related to the user whose predetermined range of the road is the visual field, Since the blind spot location is estimated by counting every predetermined range, it is possible to estimate the blind spot location with high accuracy.

  According to the blind spot location estimation device and the blind spot location estimation method of the present invention, it is possible to obtain useful information regarding a location that is a blind spot for a passerby such as a road.

1 is an overall configuration diagram of a system including a blind spot location estimation device. It is a block diagram which shows the functional structure of a blind spot location estimation apparatus. It is a hardware block diagram of a blind spot location estimation apparatus. It is a figure which shows an example of a structure and content of a position information storage part. It is a figure which shows an example of a structure and content of the position information storage part to which the direction information was attached | subjected. It is a figure for demonstrating the algorithm of the production | generation of blind spot information. It is a figure for demonstrating the algorithm of the production | generation of blind spot information. It is a figure which shows the road divided | segmented into the predetermined range. The figure explaining the process which a blind spot totalization part totalizes the blind spot information produced | generated about four positional information which concerns on one user, and the place used as the blind spot of the user shown by the blind spot information produced | generated by the blind spot production | generation part is a predetermined | prescribed road It is the figure which totaled the number of the positional information applicable to a range for every road ID, and the figure which showed the example which displayed on the display etc. the information regarding the blind spot location estimated by the blind spot totalization part. It is a figure which shows an example of a structure and content of a user information storage part. It is a figure for demonstrating the estimation of the blind spot location based on blind spot information and the number of pedestrians. It is a flowchart which shows the processing content implemented in a blind spot place estimation apparatus. It is a block diagram which shows the functional structure of the blind spot place estimation apparatus 1 which concerns on 2nd Embodiment. It is a figure for demonstrating the estimation of the blind spot location based on blind spot information and visual field information. It is a flowchart which shows the processing content implemented with the blind spot place estimation apparatus in 2nd Embodiment.

  An embodiment of a blind spot location estimation apparatus according to the present invention will be described with reference to the drawings. If possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

(First embodiment)
FIG. 1 is an overall configuration diagram of a system including a blind spot location estimation device according to the first embodiment. As shown in FIG. 1, the blind spot location estimation device 1 can communicate with a location information storage device 2 via a network N via a network. Further, the application service providing apparatus 3 and the mobile terminal 4 can also communicate via the network N.

  Here, prior to the description of the blind spot location estimation device 1, the position information storage device 2 and the application service providing device 3 will be described.

  The location information storage device 2 is a device that acquires location information of the mobile terminal from the application service providing device 3 and stores the acquired location information. The position information storage device 2 includes a position information storage unit 20 for storing position information.

  The application service providing device 3 is a device that provides an application service such as a route guidance service to the mobile terminal 4, and is configured by a server device, for example. When the mobile terminal 4 uses an application service such as a route guidance service, position information measured by a GPS device included in the mobile terminal 4 is used as information indicating the location of the mobile terminal 4. The application service providing apparatus 3 can collect the location information of the mobile terminal 4 when the mobile terminal 4 uses an application service that uses the location information as described above.

  Next, functions of the blind spot location estimation device 1 will be described in detail. FIG. 2 is a block diagram showing a functional configuration of the blind spot location estimating apparatus. The blind spot location estimation device 1 is a device that estimates a blind spot location that is likely to become a blind spot of a passer-by based on position information indicating the location of the user of the mobile terminal 4, and functionally, a processing request reception unit 10, position information acquisition unit 11 (position information acquisition unit), region information acquisition unit 12 (region information acquisition unit), direction calculation unit 13 (direction calculation unit), blind spot generation unit 14 (dead angle generation unit), blind spot counting unit 15 (Dead angle totaling means) and a processing result output unit 16 (processing result output means) are provided.

  FIG. 3 is a hardware configuration diagram of the blind spot location estimation device 1. As shown in FIG. 3, the blind spot location estimation apparatus 1 physically includes a CPU 101, a RAM 102 and a ROM 103 which are main storage devices, a communication module 104 which is a data transmission / reception device such as a network card, an auxiliary device such as a hard disk and a flash memory. The computer system includes a storage device 105, an input device 106 such as a keyboard and mouse as input devices, and an output device 107 such as a display. Each function shown in FIG. 2 has a communication module 104, an input device 106, and an output device 107 under the control of the CPU 101 by loading predetermined computer software on the hardware such as the CPU 101 and the RAM 102 shown in FIG. This is realized by reading and writing data in the RAM 102 and the auxiliary storage device 105. Again, with reference to FIG. 2, each function part of the blind spot location estimation apparatus 1 is demonstrated in detail.

  The processing request receiving unit 10 is a part that receives a processing request for estimating a blind spot location for the blind spot location estimating apparatus 1. For example, the processing request is transmitted to a blind spot location estimation device 1 from a terminal device (not shown) that can communicate via the network N, or input via the input device 106 provided in the blind spot location estimation device 1. It includes information on the area where the blind spot location is desired to be estimated, and other processing conditions.

  The position information acquisition unit 11 is a part that acquires a plurality of position information stored in the position information storage unit 20 of the position information storage device 2. Here, the position information storage unit 20 will be described.

  The location information storage unit 20 is a storage unit that stores location information indicating the location of the user of the mobile terminal. FIG. 4 is a diagram illustrating an example of the configuration and contents of position information stored in the position information storage unit 20. As shown in FIG. 4, the position information storage unit 20 stores user ID, latitude, longitude, date and time, and traffic mode information in association with a point ID for identifying each position information. The user ID is an identifier that identifies the mobile terminal 4 and is unique to the user. The latitude and longitude are information indicating the location of the mobile terminal. The date and time is information indicating the date and positioning time when the location indicated in the position information is determined. The traffic mode is information indicating the type of moving means of the user. When the position information is collected by the application service providing device 3, the type of application used by the mobile terminal 4 and the user when using the application. Acquired based on the input information.

  The area information acquisition unit 12 includes area information including information on the location of buildings and roads in the area based on information on the area where the blind spot location is desired to be estimated, which is included in the process request received by the process request receiving unit 10. Is acquired from the area information storage unit 50. Specifically, the area information includes information on the positions of buildings and roads as schematically shown in FIGS. 6 and 7 described later.

  The area information storage unit 50 is a storage unit that stores area information in advance, and may be provided in a server device that can communicate with the blind spot location estimation device 1 via the network N, or the blind spot location estimation device 1. It is good also as being provided as one function part.

  The azimuth calculation unit 13 is a part that calculates the azimuth facing the user of the mobile terminal for each piece of position information based on the position information of the mobile terminal 4. Specifically, the azimuth calculation unit 13 includes a location indicated by one location information, a location indicated by next location information that is location information measured at a time after the location time of the one location information, and Based on the positional relationship, the azimuth relating to one piece of positional information is calculated.

  Next, the calculation of the user's azimuth will be described with reference to FIG. The azimuth calculation unit 13 extracts position information related to one user from the position information shown in FIG. 4 and arranges the extracted position information in time series based on the data stored in the date / time item. FIG. 5 shows the position information 20a extracted from the position information of the user identified by the user ID “a” and arranged in time series. The position information (one position information) of the point ID “1” is the position information measured at “2009/5/20 14:00”, and the position information (next position information) of the point ID “2” is Since the position information is positioned at “2009/5/20 14:01”, the position information of the point ID “2” is the position measured at a time after the positioning time of the position information of the point ID “1”. Information.

  Then, the azimuth calculation unit 13 includes the latitude “35.12345567890” and the longitude “135.12345567890” indicated by the position information of the point ID “1” and the latitude “35.1234556790” indicated by the position information of the point ID “2”. ”And the longitude“ 135.1234567891 ”, the orientation of the user in the position information of the point ID“ 1 ”is calculated. The direction of the user is indicated by, for example, an angle measured clockwise with “north” as a reference, and the direction of the user in the position information of the point ID “1” is “90 °”.

  As described above, the azimuth calculation unit 13 estimates the user's traveling direction based on the location indicated in the position information continuously acquired on the time series, and regards the traveling direction as the user's azimuth to determine the position information. Since each direction is calculated, the user's direction can be calculated with high accuracy.

  The blind spot generation unit 14 is information regarding a location that is a blind spot of the user based on the location indicated by the position information, the user's azimuth related to the position information calculated by the direction calculation unit 13, and the area information. This is a part for generating blind spot information for each position information. An algorithm for generating blind spot information in the blind spot generator 14 will be described in detail with reference to FIGS. 6 and 7. 6 and 7 are diagrams for explaining an algorithm for generating blind spot information. In the example shown in FIGS. 6 and 7, the shape of the road included in the area information is a T-shaped road, and the building B as shown in the figure is located along the road. Further, the location of the user's mobile terminal 4 is indicated by a position a in the figure, and the orientation of the user is the upward direction in the figure.

  First, as illustrated in FIG. 6A, the blind spot generation unit 14 sets, for example, an angle θ on the direction side (arrow direction) facing the user with the user's position a as the center, based on the information on the user's direction. A field of view A having a sector shape of 35 ° and a radius r of 20 m is generated. Next, as illustrated in FIG. 6B, the blind spot generation unit 14 removes the overlapping part of the building B in the field of view A based on the building information included in the area information, and removes the overlapping part. Mark each vertex of field of view A (excluding position a). Then, as shown in FIG. 6C, the blind spot generation unit 14 generates lines L1 to L4 that pass through all the marked vertices at the same distance (20 m) as the sector radius starting from the position a. To do.

  Subsequently, as illustrated in FIG. 6D, the blind spot generation unit 14 deletes a portion overlapping the building B in the generated lines L <b> 1 to L <b> 4 so that the line L <b> 1 to L <b> 4 and the building B intersect with each other. Mark. Then, as shown in FIG. 7A, the blind spot generator 14 searches the side of the field of view A generated in FIG. 6B clockwise starting from the position a, and is marked in FIG. 6D. Numbers (1-6) are assigned in the order in which the vertices were found. Further, as shown in FIG. 7 (b), the blind spot generator 14 connects the vertices in the order of the numbers given in FIG. 7 (a), and the user located in the position a can visually recognize the region C connected in this order of numbers. It is generated as a field of view that is a range of various places. Finally, in FIG. 6 (b), by subtracting the field of view C generated in FIG. 7 (b) from the polygon from which the part where the building B overlaps in the visual field A is removed, FIG. 7 (c). A blind spot D is generated as shown in FIG. The blind spot generator 14 uses the information related to the blind spot D as blind spot information. As described above, the blind spot generator 14 generates blind spot information related to the position information of the user at the position a. That is, the blind spot generation unit 14 obtains the user's field of view based on the location indicated in the position information and the user's orientation related to the position information, and includes roads and buildings included in the area information acquired by the area information acquisition unit 12. The blind spot information is generated based on the positional relationship between the position of the user and the visual field of the user. This makes it possible to generate blind spot information with high accuracy.

  The blind spot totaling unit 15 is a part that estimates the blind spot location by counting the blind spot information generated by the blind spot generating unit 14 for each predetermined range on the road. Specifically, the blind spot counting unit 15 counts the number of pieces of position information corresponding to a predetermined range of the road where the user's blind spot indicated in the blind spot information corresponds to the predetermined range of the road, To estimate the blind spot location.

  The processing result output unit 16 is a part that outputs information related to the blind spot location estimated by the blind spot totaling unit 15. The processing result output unit 16 returns, for example, information on the blind spot location to a terminal device (not shown) that has transmitted the processing request to the blind spot location estimation device 1, or the blind spot location estimation device 1 includes, for example, a display. Information on the blind spot location is displayed on the output device 107.

  Hereinafter, the estimation of the blind spot location by the blind spot totaling unit 15 and the output of information on the estimated blind spot location by the processing result output unit 16 will be described in detail with reference to FIGS. 8 and 9.

  FIG. 8 is a diagram illustrating a predetermined range generated by dividing a road on the basis of area information. As illustrated in FIG. 8, the blind spot totaling unit 15 divides the road into predetermined ranges based on the information regarding the position of the road included in the regional information acquired by the regional information acquiring unit 12, and the predetermined ranges r1 to r4. Is generated.

  In the present embodiment, the blind spot counting unit 15 divides the road area to generate the predetermined ranges r1 to r4. However, in the area information stored in the area information storage unit 50, the road is divided in advance. It is good also as including the information regarding the predetermined range produced | generated in this way.

  FIG. 9A is a diagram illustrating a process in which the blind spot totaling unit 15 counts the blind spot information generated for the four pieces of position information related to one user. In FIG. 9A, the location and orientation indicated by the four pieces of position information are indicated by the positions and orientations of arrows a1 to a4. Moreover, the visual field of the user according to these pieces of position information is indicated by visual fields A1 to A4.

  Subsequently, as illustrated in FIG. 9B, the blind spot totaling unit 15 determines, for each predetermined range of the road, a place where the user's blind spot indicated in the blind spot information generated by the blind spot generation unit 14 is a predetermined range of the road. The number of pieces of position information corresponding to is counted. The road ID in FIG. 9B is information for identifying a predetermined range of the road, and the road IDs “1” to “4” correspond to the predetermined ranges r1 to r4, respectively. Also, the blind spot information is generated by the blind spot generator 14 using the algorithm described with reference to FIGS. 6 and 7 based on the visual fields A1 to A4 shown in FIG. 9A.

  For example, the blind spot generated from the position information of the user whose location and orientation are indicated by the arrow a1 in FIG. 9A corresponds to the predetermined range r4. Similarly, the blind spot generated from the position information of the user whose location and direction are indicated by the arrows a2 and a3 correspond to the predetermined range r4. Furthermore, the blind spot generated from the position information of the user whose location and direction are indicated by the arrow a4 corresponds to the predetermined ranges r3 and r4. Therefore, the number of position information whose dead angle corresponds to the predetermined range r3 of the road is “1”, and the number of position information whose dead angle corresponds to the predetermined range r4 of the road is “4”. As described above, the blind spot counting unit 15 estimates the blind spot location by counting the blind spot information. This makes it possible to estimate the blind spot location with high accuracy.

  Furthermore, as illustrated in FIG. 9C, the processing result output unit 16 displays information on the blind spot location estimated by the blind spot totaling unit 15 on, for example, a display. In the example shown in FIG. 9C, there is a large number of position information corresponding to the road ID “4” (predetermined range r4), and the predetermined range r4 of the road has a problem that visibility is low due to blind spots. Since the possibility is high, the processing result output unit 16 displays the area of the predetermined range r4 on the road in a grid pattern. Further, since the number of pieces of position information corresponding to the road ID “3” (predetermined range r3) is large, the predetermined range r3 of the road is a place where a problem such as low visibility due to blind spots may occur. The processing result output unit 16 displays the area of the predetermined range r3 on the road in a right-down diagonal pattern.

  Further, the blind spot totaling unit 15 weights the number of the position information to be counted based on the attribute information regarding the user of the mobile terminal 4 whose location is indicated by the position information. User attribute information is stored in the user information storage unit 60 in advance.

  The user information storage unit 60 is a storage unit that stores in advance the attribute information of the user of the mobile terminal 4, and may be provided in a server device that can communicate with the blind spot location estimation device 1 via the network N. The blind spot location estimation device 1 may be provided as one functional unit. FIG. 10 is a diagram illustrating a configuration of the user information storage unit 60 and an example of stored data. In the example illustrated in FIG. 10, the user information storage unit 60 stores a user name, sex, date of birth, and the like in association with a user ID that is an identifier of the user of the mobile terminal 4.

  When counting the number of position information corresponding to the predetermined range of the road where the blind spot of the user indicated in the blind spot information corresponds to the predetermined range of the road, the blind spot totaling unit 15 normally relates to one piece of position information. When the number of position information is counted as “1”, when the date of birth of the user related to the position information is before a certain date and the user is an elderly person, the position information of the user is related. For example, the number of position information can be weighted, and for example, the number of position information can be counted as “2”. Accordingly, in view of the purpose of the blind spot location estimation device 1 that identifies a problematic place where visibility is low due to the blind spot, it is possible to obtain more useful blind spot location information.

  Further, the blind spot counting unit 15 obtains the number of pedestrians for each predetermined range of the road by counting position information indicating that the moving means indicated by the traffic mode information (see FIG. 4) included in the position information is walking. The blind spot location can be estimated based on the number of pedestrians and blind spot information for each predetermined range of the road. The estimation of the blind spot location based on the blind spot information and the number of pedestrians will be described with reference to FIG. FIG. 11 is a diagram for explaining the estimation of the blind spot location based on the blind spot information and the number of pedestrians.

  Reference sign d1 in FIG. 11 is the number of pieces of position information corresponding to the blind spots for each of the predetermined ranges r1 to r4 of the road, which are counted by the blind spot counting unit 15. On the other hand, the code | symbol w1 is the number of pedestrians for every predetermined range r1-r4 of the road totaled by the blind spot totalization part 15. FIG. The number of pedestrians for each predetermined range of the road is obtained by counting the number of position information in which the location indicated in the position information corresponds to the predetermined range of the road and the traffic mode in the position information is “walking”.

  Subsequently, as indicated by reference sign d2, the blind spot totaling unit 15 divides the number of pieces of position information by the maximum value of the number of pieces of position information (d1) in the predetermined ranges r1 to r4, and the number of pieces of position information is 0 to 0. An index value that is a value in the range of 1 is calculated. Moreover, as shown to the code | symbol w2, the blind spot totaling part 15 remove | divides each pedestrian number by the maximum value among the pedestrian numbers (w1) in predetermined range r1-r4, and each pedestrian number is 0-1. An index value that is a value in the range is calculated.

  Then, as indicated by reference numeral m1, the blind spot totaling unit 15 multiplies the index value (d2) of the number of position information corresponding to the blind spot and the index value (w2) of the number of pedestrians in the predetermined range r1 to r4. The value is calculated as an index value for the blind spot location. Of the predetermined range of the road, the place where the index value indicated by the sign m1 is large is a place that is a blind spot for passers-by and a place where there are many pedestrians, and there is a problem caused by the place being a blind spot. It is a place where there is a high possibility of occurrence. Therefore, it is possible to obtain more useful blind spot location information by the blind spot counting unit 15 estimating the blind spot location information based on the index value indicated by the symbol m1.

  Further, as indicated by reference numeral m2, the processing result output unit 16 converts each region of the predetermined range r1 to r4 of the road into a lattice pattern, a left-downward diagonal line pattern based on the size of the index value (m1) regarding the blind spot location. , And display and output with different patterns such as a downward slanted diagonal line pattern.

  Then, with reference to FIG. 12, the operation | movement of the blind spot location estimation apparatus 1 in the blind spot location estimation method of this embodiment is demonstrated. FIG. 12 is a flowchart showing the processing contents executed in the blind spot location estimating apparatus 1.

  First, the process request accepting unit 10 accepts a process request for estimating a blind spot location for the blind spot location estimating apparatus 1 (S1). This processing request includes information regarding an area where the blind spot location is desired to be estimated. Then, the process request receiving unit 10 refers to the region information storage unit 50 via the region information acquisition unit 12 based on the information regarding the region included in the processing request received in step S1, and the region exists. It is determined whether to do (S2). If the area does not exist, the process result output unit 16 displays an error (S3), and the process ends. On the other hand, if the area exists, the processing procedure proceeds to step S4.

  In step S4, the position information acquisition unit 11 acquires, from the position information storage unit 20, a plurality of pieces of position information whose location corresponds to the area received in step S1 (S4, position information acquisition step). Moreover, the area information acquisition part 12 acquires the area information containing the information regarding the position of the building and road of the said area from the area information storage part 50 based on the information regarding the area received in step S1 (S4, area information acquisition) Step).

  Next, the azimuth calculation unit 13 calculates, for each piece of position information, the azimuth that the user of the mobile terminal faces based on the position information of the mobile terminal 4 acquired in step S4, and uses the calculated azimuth as position information. It adds (S5, direction calculation step).

  Subsequently, the blind spot generation unit 14 generates blind spot information for each piece of position information based on the location indicated by the position information, the user orientation related to the position information calculated by the direction calculation unit 13, and the region information. (S6, blind spot generation step).

  Next, the blind spot totaling unit 15 divides the road into predetermined ranges based on the information regarding the position of the road included in the regional information acquired by the regional information acquiring unit 12 (S7), and is generated by the blind spot generating unit 14. The number of position information corresponding to the predetermined range of the road where the user's blind spot shown in the blind spot information is counted for each predetermined range of the road, and the blind spot location is estimated based on the counted number of position information ( S8, blind spot counting step).

  In step S8, the blind spot counting unit 15 determines the location information based on the location information when counting the number of location information corresponding to the predetermined range of the road where the user's blind spot indicated in the blind spot information corresponds to the predetermined range of the road. Based on the attribute information regarding the user of the mobile terminal 4 whose position is indicated, the number of pieces of position information to be counted can be weighted.

  Further, in step S8, the blind spot counting unit 15 obtains the number of pedestrians for each predetermined range of the road by counting the position information that the moving means indicated by the traffic mode information included in the position information is walking, The blind spot location can be estimated based on the number of pedestrians and blind spot information for each predetermined range of the road.

  Then, the processing result output unit 16 displays information related to the blind spot location estimated by the blind spot totaling unit 15 on the output device 107 such as a display provided in the blind spot location estimation device 1 (S9, processing result output step). In this way, the process of this embodiment is complete | finished.

  In the blind spot location estimation apparatus 1 according to the first embodiment described above, the blind spot information is generated by the blind spot generation unit 14 using the acquired position information and area information, and thus the generated blind spot information is moved. This is information regarding a location that is a blind spot in the area for the actual user who owns the terminal 4. Then, since the blind spot location is estimated by the blind spot counting unit 15 by summing up the generated blind spot information, it is possible to obtain useful information regarding a place that is likely to become a blind spot of a passerby.

(Second Embodiment)
Next, the blind spot location estimation apparatus 1 according to the second embodiment will be described. FIG. 13 is a block diagram illustrating a functional configuration of the blind spot location estimation device 1 according to the second embodiment. The blind spot location estimation apparatus 1 according to the second embodiment is different from the first embodiment in that it further includes a view field generation unit 17 (view field generation unit).

  The visual field generation unit 17 obtains the user's field of view based on the location indicated in the position information and the user's orientation related to the position information, and the positions of roads and buildings included in the area information acquired by the area information acquisition unit 12 This is a part for generating field-of-view information for each position information, which is information related to a place visible to the user, based on the positional relationship between the user and the user's visual field.

  Specifically, the field-of-view generation unit 17 in FIGS. 6 (a) to 6 (d) and FIG. 7 (a) in the algorithm for generating the blind spots described with reference to FIGS. 6 and 7 in the first embodiment. ) To (b) are performed to generate the visibility information. That is, the visual field generation unit 17 generates the visual field region C in FIG. 7B as visual field information.

  In the second embodiment, the blind spot totaling unit 15 counts the blind spot information generated by the blind spot generating unit 14 and the visual field information generated by the visual field generating unit 17 for each predetermined range on the road to obtain the blind spot location. presume. Next, the estimation of the blind spot location based on the blind spot information and the visibility information will be described with reference to FIG. FIG. 14 is a diagram for explaining the estimation of the blind spot location based on the blind spot information and the visibility information.

  Reference sign d1 in FIG. 11 is the number of pieces of position information corresponding to the blind spots for each of the predetermined ranges r1 to r4 of the road, which are counted by the blind spot counting unit 15. On the other hand, the reference sign c1 is the number of pieces of positional information corresponding to the predetermined range of the road, which is included in the visual field information for each of the predetermined ranges r1 to r4 of the road, counted by the blind spot totaling unit 15. The blind spot totaling unit 15 generates the information indicated by the reference sign c1 by counting the number of pieces of position information corresponding to the predetermined range of the road in the user's visual field region C indicated by the visual field information.

  Subsequently, as indicated by reference sign d2, the blind spot totaling unit 15 divides each position information number by the maximum value of the number of position information (d1) to which the blind spots in the predetermined ranges r1 to r4 correspond to each position information. An index value is calculated such that the number is in the range of 0 to 1. Further, as shown by reference sign c2, the blind spot totaling unit 15 divides each position information number by the maximum value of the number of position information (c1) to which the field of view in the predetermined ranges r1 to r4 corresponds, An index value is calculated such that the number is in the range of 0 to 1. Furthermore, as indicated by reference numeral c3, the blind spot totaling unit 15 generates an index value obtained by subtracting 1 from the index value of the number of pieces of position information corresponding to the visual field region. That is, the index value indicated by the symbol c3 indicates the degree of poor visibility for each of the predetermined ranges r1 to r4 on the road.

  And as shown to the code | symbol m3, the blind spot totaling part 15 multiplies the index value (d2) of the positional information number to which a blind spot corresponds in the predetermined range r1-r4, and the index value (c3) regarding a visual field. Calculated as an index value for the blind spot location. Of the predetermined range of the road, the place where the index value indicated by the symbol m3 is large is a place that is a blind spot for passers-by and a place that is not visible to the passers-by, for example, a blind spot where crime is likely to occur. It is a place where problems caused by Therefore, by estimating the blind spot location based on the blind spot information and the visibility information, it is possible to obtain more useful blind spot location information.

  Furthermore, as indicated by reference numeral m4, the processing result output unit 16 converts each region of the predetermined range r1 to r4 of the road into a lattice pattern, a left-downward diagonal line pattern based on the size of the index value (m3) regarding the blind spot location. , And display and output with different patterns such as a downward slanted diagonal line pattern.

  Then, with reference to FIG. 15, operation | movement of the blind spot location estimation apparatus 1 in 2nd Embodiment is demonstrated. FIG. 15 is a flowchart showing the processing contents executed in the blind spot location estimating apparatus 1. The processing contents executed in steps S11 to S15 are the same as the processing contents shown in steps S1 to S5 in the flowchart of FIG.

  Subsequently, the blind spot generation unit 14 generates blind spot information for each piece of position information based on the location indicated by the position information, the user orientation related to the position information calculated by the direction calculation unit 13, and the region information. (S16). Further, the field of view generation unit 17 obtains the user's field of view based on the location indicated by the location information and the orientation of the user regarding the location information, and roads and buildings included in the region information acquired by the region information acquisition unit 12 Based on the positional relationship between the position of the user and the visual field of the user, visual field information is generated for each positional information (S16). The processing content executed in the subsequent step S17 is the same as the processing content shown in step S7 in the flowchart of FIG.

  Next, the blind spot totaling unit 15 totals the blind spot information generated by the blind spot generating unit 14 and the visual field information generated by the visual field generating unit 17 for each predetermined range on the road to estimate the blind spot location (S18). .

  Then, the processing result output unit 16 displays information on the blind spot location estimated by the blind spot totaling unit 15 on the output device 107 such as a display provided in the blind spot location estimation device 1 (S19). In this way, the process of this embodiment is complete | finished.

  In the blind spot location estimation apparatus 1 of the second embodiment described above, a place that is a blind spot for a passer-by and a place that is not visible to the passer-by has a problem caused by the blind spot, for example, a crime is likely to occur. In view of the location that is likely to occur, the blind spot information is generated by the blind spot generator 14, the visual field information is generated by the visual field generator 17, and the blind spot totalizer 15 based on the generated blind spot information and the visual field information. Since the location is estimated, it is possible to obtain more useful information on the blind spot location.

  The present invention has been described in detail based on the embodiments. However, the present invention is not limited to the above embodiment. The present invention can be variously modified without departing from the gist thereof.

  For example, the blind spot information is generated by the blind spot generation unit 14 and the position information provided to the blind spot totaling unit 15 for estimating the blind spot location is extracted and used only as the location information whose traffic mode is “car”. It is also possible (see FIG. 4). The information regarding the blind spot location estimated in this case is useful information for preventing a traffic accident caused by the blind spot.

  Further, the weighting based on the user attribute information when the blind spot totaling unit 15 sums up the blind spot information and estimates the blind spot location described in the first embodiment can be omitted in the process of the first embodiment. On the other hand, this weighting process may be added to the process of the second embodiment.

  Further, in the first embodiment, the blind spot counting unit 15 has described the process of estimating the blind spot location in consideration of the number of pedestrians based on the traffic mode information, but this process may be omitted in the first embodiment. it can. On the other hand, it is good also as adding the process which estimates the blind spot place which considered the number of pedestrians to the process of 2nd Embodiment.

  DESCRIPTION OF SYMBOLS 1 ... Blind spot location estimation apparatus, 4 ... Mobile terminal, 10 ... Processing request reception part, 11 ... Position information acquisition part, 12 ... Area information acquisition part, 13 ... Direction calculation part, 14 ... Blind spot generation part, 15 ... Blind spot totaling part , 16 ... processing result output unit, 17 ... visual field generation unit, 20 ... position information storage unit, 50 ... area information storage unit, 60 ... user information storage unit, B ... building, C ... visual field region, D ... blind spot.

Claims (9)

A blind spot location estimation device that estimates a blind spot location, which is a location that is likely to be a blind spot of a passer, based on location information indicating a location of a user of a mobile terminal,
Position information acquisition means for acquiring a plurality of the position information;
Based on the location information of the mobile terminal, an orientation calculation means for calculating the orientation that the user of the mobile terminal is facing for each location information;
Area information acquisition means for acquiring area information stored in advance including information on the location of buildings and roads;
Based on the location indicated in the location information, the orientation of the user of the location information calculated by the orientation calculation means, and the area information, the blind spot information, which is information regarding a location that is a blind spot of the user, is A blind spot generating means for generating each information;
The blind spot information generated by the blind spot generating means is totaled for each predetermined range on the road, and the blind spot counting means for estimating the blind spot location;
A blind spot location estimation device comprising: processing result output means for outputting information on the blind spot location estimated by the blind spot totaling means. The position information includes information on a positioning time that is a time at which the location indicated in the position information is measured,
The azimuth calculating means is a positional relationship between the location indicated by the one location information and the location indicated by the next location information which is location information measured after the positioning time of the location information. Based on the above, the azimuth related to the one position information is calculated,
The blind spot location estimating apparatus according to claim 1. The blind spot generation means obtains the user's field of view based on the location indicated by the position information and the user's orientation related to the position information, and includes roads and buildings included in the area information acquired by the area information acquisition means. The blind spot location estimation apparatus according to claim 1, wherein the blind spot information is generated based on a positional relationship between a position of the user and a visual field of the user. The blind spot counting means counts, for each predetermined range of the road, the number of pieces of position information in which the place where the blind spot of the user indicated in the blind spot information corresponds to the predetermined range of the road, The blind spot location estimation apparatus according to any one of claims 1 to 3, wherein the blind spot location is estimated based on the following. The blind spot counting means acquires the attribute information of the user of the mobile terminal stored in advance, and the position information counted based on the attribute information related to the user of the mobile terminal whose location is indicated by the position information The blind spot location estimation apparatus according to claim 4, wherein weighting is performed on the number of the blind spots. The location information includes traffic mode information that is information indicating the type of the user's moving means,
The blind spot counting means obtains the number of pedestrians for each predetermined range of the road by counting the position information where the moving means indicated by the traffic mode information is walking, and The blind spot location estimation apparatus according to any one of claims 1 to 5, wherein the blind spot location is estimated based on the number of pedestrians and the blind spot information. The field of view of the user is obtained based on the location indicated in the location information and the user's orientation related to the location information, and the location of the road and building included in the regional information acquired by the regional information acquisition means and the user's Based on the positional relationship with the visual field, comprising visual field generation means for generating visual field information, which is information related to a place visible to the user, for each positional information,
The blind spot totaling unit estimates the blind spot location by totaling the blind spot information generated by the blind spot generating unit and the visual field information generated by the visual field generating unit for each predetermined range on the road. The blind spot location estimation apparatus according to any one of claims 1 to 6. The blind spot totaling means is generated by the number of the position information corresponding to a predetermined range of the road where the user's blind spot shown in the blind spot information generated by the blind spot information is generated by the visibility generating means. The number of the position information corresponding to the predetermined range of the road where the user's visible location indicated by the visual field information is counted for each predetermined range of the road, the number of the position information counted regarding the blind spot information, and the visual field The blind spot location estimation apparatus according to claim 7, wherein the blind spot location is estimated based on the number of pieces of position information counted regarding information. A blind spot location estimation method in a blind spot location estimation device that estimates a blind spot location that is likely to be a blind spot of a passer based on location information indicating a location of a user of a mobile terminal,
A position information acquisition step of acquiring a plurality of the position information;
Based on the position information of the mobile terminal, an azimuth calculation step for calculating the azimuth facing the user of the mobile terminal for each position information;
An area information acquisition step for acquiring prestored area information including information on the location of the building and road;
Based on the location indicated in the position information, the user's azimuth of the position information calculated in the azimuth calculation step, and the area information, the blind spot information, which is information regarding a location that becomes the blind spot of the user, is A blind spot generation step for each piece of information;
A blind spot counting step of counting the blind spot information generated in the blind spot generation step for each predetermined range on the road and estimating the blind spot location;
A blind spot location estimation method comprising: a processing result output step of outputting information on the blind spot location estimated in the blind spot counting step.

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