JP2021135099A - Information processing device - Google Patents

Abstract

To visually notify a communication environment.SOLUTION: An information processing device includes a storage unit that stores road map data, acquires an electric field strength map showing the electric field strength of a radio signal in a mobile communication network using a predetermined communication standard, generates a first graphic showing a travel position of a vehicle on the basis of the road map data and the current position of the vehicle, and superimposes a second graphic visually showing the electric field strength of the radio signal on the first graphic.SELECTED DRAWING: Figure 2

Description

This disclosure relates to communication services.

Mobile communication services that enable high-speed and large-capacity communication have appeared. This makes it possible to provide a large amount of data to a mobile terminal such as an in-vehicle device or a smartphone, for example.

JP-A-2002-112303

New generation mobile wireless services such as 5G (5th Generation) use high-frequency radio waves (millimeter waves) in order to realize high-speed and large-capacity wireless communication. On the other hand, since radio waves in the high frequency band have high straightness, the electric field strength may fluctuate significantly even if the radio wave moves slightly.

The present disclosure has been made in consideration of the above problems, and an object of the present disclosure is to visually notify a moving user of the communication environment.

The information processing device according to the present disclosure is
Acquiring an electric field strength map showing the electric field strength of a radio signal in a mobile communication network using a storage unit for storing road map data and a predetermined communication standard, the road map data, the current position of a vehicle, and the like. To generate a first graphic showing the traveling position of the vehicle, and to superimpose the first graphic on the second graphic that visually displays the electric field strength of the radio signal. It is characterized by having a control unit for executing the above.

In addition, as another aspect, an information processing method executed by the above information processing apparatus, a program for causing a computer to execute the information processing method, or a computer-readable storage medium in which the program is stored non-temporarily can be mentioned. ..

According to the present disclosure, it is possible to visually notify a moving user of the communication environment.

An overall schematic diagram of the communication system according to the embodiment. The figure explaining the process performed by the component included in the communication system. A block diagram schematically showing an example of components of a system. The figure which showed the example of the road segment. An example graphic that visually displays the electric field strength. The figure which showed the example of the electric field strength map. A flow diagram of data sent and received between system components. The figure explaining the graphic generated by an in-vehicle device.

The information processing device according to the present embodiment is a device that visually displays the electric field strength of a radio signal in a mobile communication network that uses a predetermined communication standard.

Specifically, a storage unit that stores road map data, an electric field strength map showing the electric field strength of a radio signal in a mobile communication network using a predetermined communication standard, the road map data, and a vehicle are obtained. A first graphic showing the traveling position of the vehicle is generated based on the current position of the vehicle, and a second graphic for visually displaying the electric field strength of the radio signal is added to the first graphic. It is characterized by having a control unit for superimposing and executing.

The mobile communication network using a predetermined communication standard is, for example, a wireless communication network using a high-speed communication standard such as 5G. The electric field strength map is a map showing the electric field strength of the radio signal used in these communication standards. The electric field strength map may be in any format as long as it represents the degree of goodness in communication.

The control unit generates a graphic showing the traveling position of the vehicle based on the road map data and the current position of the vehicle. The first graphic showing the traveling position of the vehicle shows where the vehicle is located in the area where the vehicle can travel. For example, when the area in which the vehicle can travel is a road having a plurality of lanes, the first graphic may indicate which lane the vehicle is traveling in.
Further, the control unit superimposes the generated first graphic on the second graphic displaying the electric field strength of the radio signal. As a result, it is possible to visually indicate to the occupants of the vehicle "where in the area (for example, which lane) the vehicle should drive to obtain a better communication environment".

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The configurations of the following embodiments are exemplary, and the present disclosure is not limited to the configurations of the embodiments.

The outline of the information processing system according to the embodiment will be described with reference to FIG. The system according to the present embodiment includes an in-vehicle device 200 mounted on the vehicle 10 and a server device 100 that provides information to the in-vehicle device 200 based on the information transmitted from the in-vehicle device 200. NS. The number of vehicles 10 and in-vehicle devices 200 included in the system may be plurality.

FIG. 2 is a schematic diagram illustrating data transmitted and received between the server device 100 and the vehicle-mounted device 200.
In the system according to the present embodiment, the in-vehicle device 200 measures the electric field strength of the radio signal in the mobile communication network using a predetermined communication standard, and data (measurement data) including the measurement result is transmitted to the server device 100. And send it periodically.
The measurement data includes data showing the electric field strength of the radio signal (strength data) and data showing the geographical position of the in-vehicle device 200 (position data).
The server device 100 generates a map showing the electric field strength on the road based on the measurement data received from the plurality of vehicle-mounted devices 200.

Further, the server device 100 extracts an area corresponding to the current position of the in-vehicle device 200 from the electric field strength map managed by the own device and transmits the area to the in-vehicle device 200.
The in-vehicle device 200 generates and outputs a graphic showing the electric field strength for each lane based on the electric field strength map received from the server device 100 and the current position of the own device.

The components of the system will be described in detail. FIG. 3 is a block diagram schematically showing an example of the configuration of the server device 100 and the in-vehicle device 200 shown in FIG.

First, the in-vehicle device 200 will be described.
The in-vehicle device 200 is a small computer installed in the vehicle 10. The in-vehicle device 200 may be, for example, a car navigation device or an infotainment device. The in-vehicle device 200 includes a communication unit 201, a control unit 202, a storage unit 203, a GPS module 204, a sensor group 205, and an input / output unit 206.

The communication unit 201 is a communication means for connecting the in-vehicle device 200 to the network. In this embodiment, a mobile communication service such as 5G, 4G or LTE can be used to communicate with the server device 100 and a wide area network (for example, the Internet).

The control unit 202 is a means for controlling the in-vehicle device 200. The control unit 202 is composed of, for example, a microcomputer. The control unit 202 may realize its function by executing the program stored in the storage unit 203, which will be described later, by the CPU.

The control unit 202 has a strength measurement unit 2021, a position estimation unit 2022, and a guide unit 2023 as functional modules. Each functional module may be realized by executing a program stored in a storage means (ROM or the like) by a CPU.

The strength measuring unit 2021 measures the electric field strength of a radio signal in a mobile communication network using a predetermined communication standard. The predetermined communication standard is a communication standard using radio waves having strong directivity, which is typically 5G, but other communication standards may be used. The strength measuring unit 2021 generates data (strength data) indicating the electric field strength based on the measurement result.
The intensity measurement unit 2021 further adds position data described later to the generated intensity data to generate measurement data, and transmits the measurement data to the server device 100.

The position estimation unit 2022 estimates the traveling position of the vehicle 10 on which the in-vehicle device 200 is mounted and generates position data. Specifically, the position estimation unit 2022 acquires the position of the own vehicle with accuracy in lane units based on the information acquired by the GPS module 204 and the sensor group 205, which will be described later.

In the present embodiment, the position estimation unit 2022 specifies the road on which the own vehicle is traveling in units of road segments. A road segment is a unit area in which a road is divided into predetermined sections. Road segments may be separated by direction. FIG. 4 is a diagram illustrating a road segment. The length of each road segment can be, for example, 100 meters (other than an intersection), but it may be other than this.

The road segment in which the own vehicle is traveling can be determined based on, for example, the road map data stored in the storage unit 203 described later and the GPS data output by the GPS module 204. Further, when the road segment is defined for each direction, the road segment corresponding to the vehicle can be specified based on the traveling direction of the vehicle. The traveling direction of the vehicle may be determined by using, for example, the directional sensor included in the sensor group 205 described later, or by the transition of the position information indicated by the GPS data.

Further, the position estimation unit 2022 identifies the lane in which the vehicle 10 is traveling in the road segment. Specifically, the position estimation unit 2022 specifies which vehicle lane the vehicle 10 is traveling from the road edge. After that, the leftmost lane (in the case of left-hand traffic) is counted as the first lane, and the adjacent lanes are counted as the second lane, the third lane, and so on.
The number of lanes existing in a specific road segment can be obtained from the road map data stored in the storage unit 203. Further, the lane in which the vehicle is traveling in the road segment can be estimated based on the data acquired by the sensor included in the sensor group 205.

For example, when a radio signal is received from a vehicle running in parallel to the left of the own vehicle via inter-vehicle communication, it can be estimated that the own vehicle is traveling to the right of the second lane. Further, when the distance sensor of the vehicle detects an oncoming vehicle within 2 m from the own vehicle, it can be estimated that the own vehicle is traveling in the rightmost lane. In addition to this, the traveling lane may be recognized based on the image acquired by the camera of the vehicle.
Hereinafter, the combination of the data representing the road segment in which the own vehicle is traveling and the data representing the traveling lane will be referred to as "position data".

The guide unit 2023 generates and outputs an image that visualizes the electric field strength based on the electric field strength map received from the server device 100. FIG. 5 is an example of an image generated by the guide unit 2023. As shown in this example, the guide unit 2023 generates an image in which a graphic (reference numeral 501) indicating the level of the electric field strength for each lane and a graphic (reference numeral 502) indicating the lane in which the vehicle 10 is currently traveling are superimposed. And output.

The storage unit 203 is a means for storing information, and is composed of a storage medium such as a RAM, a magnetic disk, or a flash memory. The storage unit 203 stores various programs, data, and the like executed by the control unit 202. Further, the road map data is stored in the storage unit 203. Road map data includes definitions of road segments and data on lanes in each road segment (number of lanes, transition of number of lanes, etc.).
The GPS module 204 is a module that acquires the geographical position of the in-vehicle device 200 based on the signal received from the positioning satellite and outputs it as GPS data.

The sensor group 205 includes a plurality of sensors that acquire information regarding the running of the vehicle 10. The information regarding the traveling of the vehicle 10 may be related to the traveling state of the vehicle 10 or may be related to the surrounding environment of the vehicle 10.
The sensor group 205 includes, for example, a vehicle speed sensor, a steering angle sensor, a direction sensor, a distance sensor, and the like. The sensor included in the sensor group 205 is not limited to the one that acquires a physical value. For example, a camera (image sensor) can be adopted as the sensor. Further, the sensor group 205 may include a unit or module that processes the acquired image to acquire predetermined information. According to such a configuration, for example, it is possible to determine the traveling lane of the vehicle 10 based on the acquired image.

Further, the sensor group 205 may include an inter-vehicle communication unit that receives a radio signal transmitted from another vehicle located in the vicinity of the vehicle 10. Further, the sensor group 205 may include a unit or module that processes a signal received from another vehicle and acquires a relative position between the other vehicle and the own vehicle. The unit (module) as illustrated above can also be regarded as a part of the sensor.
The data acquired by the sensors included in the sensor group 205 is used by the position estimation unit 2022 for, for example, to estimate the traveling position (traveling lane) of the vehicle 10.

The input / output unit 206 is a means for receiving an input operation performed by the user and presenting information to the user. Specifically, it includes a touch panel and its control means, a liquid crystal display and its control means, and the like. The touch panel and the liquid crystal display are composed of one touch panel display in the present embodiment. The input / output unit 206 may include means for inputting / outputting audio.

Next, the server device 100 will be described.
The server device 100 executes a process of generating an electric field strength map and a process of transmitting the generated map to the vehicle-mounted device 200 based on the measurement data acquired from the vehicle-mounted device 200. The server device 100 includes a communication unit 101, a control unit 102, and a storage unit 103.
Like the communication unit 201, the communication unit 101 is a communication interface for communicating with the in-vehicle device 200 via the network.

The control unit 102 is a means for controlling the server device 100. The control unit 102 is composed of, for example, a CPU.
The control unit 102 has a data collection unit 1021 and a map distribution unit 1022 as functional modules. Each functional module may be realized by executing a program stored in a storage means such as a ROM by a CPU.

The data collection unit 1021 collects measurement data from the in-vehicle device 200 and generates or updates an electric field strength map.
FIG. 6 is a diagram showing an example of an electric field strength map. The electric field strength map is a map showing the distribution of the electric field strength of radio signals in a mobile communication network using 5G.
In the example of FIG. 6, the electric field strength is shown by two types of hatching. For example, reference numeral 601 indicates a region where the electric field strength is equal to or higher than the first threshold value. Further, reference numeral 601 indicates a region in which the electric field strength is equal to or higher than the second threshold value (first threshold value <second threshold value).
The first threshold value is, for example, the minimum electric field strength required for stable 5G communication. The region where an electric field strength stronger than the first threshold value can be obtained is the 5G service area. The second threshold is, for example, the electric field strength that enables more stable and high-speed communication.
In the example of FIG. 6, the electric field strength is displayed in three stages (less than the first threshold value, more than the first threshold value and less than the second threshold value, and more than the second threshold value), but the electric field strength is four. It may be classified into stages or higher.

The data collection unit 1021 collects measurement data from a plurality of in-vehicle devices 200 and generates or updates an electric field strength map.
Since the in-vehicle device 200 transmits the position information with the accuracy of each lane, the electric field strength map is also represented by the particle size of each lane. In the present embodiment, the data collection unit 1021 divides a plurality of road segments into unit regions according to lanes, and generates an electric field strength map by giving a value indicating the electric field strength to the unit regions. The unit area can be defined on the road map data stored in the storage unit 103.

The data collection unit 1021 receives measurement data from in-vehicle devices 200 mounted on a plurality of vehicles, identifies a unit region corresponding to the measurement location, and plots a value corresponding to the measured electric field strength in the region. ..

At this time, the data collection unit 1021 may perform data conversion as necessary. For example, when the electric field strength map shows the classified electric field strength and the electric field strength included in the measurement data is a numerical value, a process of classifying the numerical value may be executed. For example, when the electric field strength is classified according to the classes A (highest) to E (lowest), the numerical value indicating the electric field strength may be classified into five stages. In the following description, the electric field strength class will be referred to as the strength class.

If there is other measurement data received in the past in the specified unit area, the value or intensity class given to the unit area may be determined in combination with the other measurement data. In this case, each data may be weighted based on the time stamp of the measurement data. For example, the newer the measurement data, the greater the weight may be given. In addition, processing for excluding outliers and outliers may be performed. Therefore, the data collection unit 1021 may temporarily store the measurement data collected in the past.

Although the example of FIG. 6 shows only a part of the area where the vehicle 10 travels, the electric field strength map generated by the server device 100 may correspond to a wider area.

Further, the electric field strength map generated by the server device 100 may include not only the distribution of the electric field strength of 5G but also the distribution of the electric field strength of the radio signal in other communication methods such as 4G and 3G. In addition, the electric field strength map may be generated and updated for each carrier.
The electric field strength map shown in FIG. 6 is an example, and the electric field strength map may be in any format as long as the distribution of the electric field strength is shown.

The map distribution unit 1022 distributes the electric field strength map to the in-vehicle device 200. Specifically, a partial region corresponding to the current position of the vehicle-mounted device 200 is extracted from the electric field strength map stored in the storage unit 103, and the extracted map (hereinafter, partial map) is transmitted to the vehicle-mounted device 200. For example, the map distribution unit 1022 cuts out the range in which the vehicle 10 can move by the timing of the next distribution of the partial map from the electric field strength map stored in the storage unit 103 to obtain a partial map.

The storage unit 103 is a means for storing information, and is composed of a storage medium such as a RAM, a magnetic disk, or a flash memory. The storage unit 103 stores various programs, data, and the like executed by the control unit 102. Further, the storage unit 103 stores the generated electric field strength map, the collected measurement data, and the like. Further, the road map data is stored in the storage unit 103. Road map data includes definitions of road segments and data on lanes in each road segment (number of lanes, transition of number of lanes, etc.).

Next, the processing performed by the server device 100 and the in-vehicle device 200 will be described with reference to FIG. 7. The illustrated process is periodically started by the in-vehicle device 200. The in-vehicle device 200 starts the illustrated process, for example, triggered by the vehicle 10 entering a different road segment.

First, in step S11, the in-vehicle device 200 (strength measuring unit 2021) measures the electric field strength of the 5G radio signal. In this step, the intensity measuring unit 2021 acquires, for example, a measured value of the reception sensitivity of the 5G radio wave transmitted from the base station, and generates intensity data including the acquired value.

Next, in step S12, the in-vehicle device 200 (position estimation unit 2022) generates position data.
Specifically, first, the road segment in which the vehicle 10 on which the own device is mounted is located is specified. The road segment is identified, for example, by collating the signal output by the GPS module 204 with the signal output by the directional sensor included in the sensor group 205 (representing the traveling direction of the vehicle 10) with the stored road map data. can do.

In addition, the position estimation unit 2022 identifies the lane in which the vehicle 10 is traveling in the road segment. The driving lane can be identified based on the signal output by the sensor included in the sensor group 205.

For example, by receiving and processing a signal broadcast by inter-vehicle communication, it is possible to acquire a relative position between the vehicle 10 and another vehicle located in the vicinity of the vehicle 10. In addition, the traveling lane can be estimated based on the acquired relative position.
Further, the lane in which the vehicle 10 is traveling may be estimated by processing the image captured by the on-board camera.
Further, the lane in which the vehicle 10 is traveling may be estimated by measuring the distance between the roadside zone and the own vehicle by the on-board distance sensor.
Further, when the vehicle 10 turns left or right at an intersection or the like, the locus of the vehicle 10 may be obtained from the data obtained by continuously sensing the steering angle, and the traveling lane after the right or left turn may be estimated based on the locus.
Further, the identification of the traveling lane may be performed by using the stored road map data. For example, information on the number of lanes in the corresponding road segment and an object in the vicinity of the road may be acquired from the road map data and used for identifying the traveling lane.

The driving lane may be identified by any other method. The position estimation unit 2022 generates position data indicating the identified road segment and driving lane.

The generated intensity data and position data are associated with each other and are transmitted to the server device 100 as measurement data in step S13.

Next, in step S14, the server device 100 (data collection unit 1021) receives the measurement data from the in-vehicle device 200 and stores it in the storage unit 103 based on the position data and the intensity data included in the measurement data. Update the electric field strength map.
In this step, first, the data collection unit 1021 associates the measurement position (that is, the road segment and the traveling lane) indicated by the position data with the unit region included in the electric field strength map. Then, the intensity class (for example, class A to class E) of the corresponding unit region is determined based on the intensity data, and the unit area is updated by the determined intensity class.
At this time, if there is measurement data transmitted from another vehicle-mounted device 200 for the target unit area, the updated value may be determined in consideration of the measurement data.

In step S15, the server device 100 (map distribution unit 1022) extracts a partial area corresponding to the current position of the in-vehicle device 200 from the stored electric field strength map, and generates a partial map. The size of the partial map can be a design value, but for example, it may be a range in which the vehicle 10 can move by the timing of delivering the partial map next time. The generated partial map is transmitted to the vehicle-mounted device 200 in step S16 and stored in the storage unit 203.

In step S17, the vehicle-mounted device 200 (guide unit 2023) generates an image that visualizes the electric field strength based on the partial map received from the server device 100.

FIG. 8 is a diagram illustrating an image generated by the guide unit 2023.
Specifically, first, a first graphic showing the traveling position of the own vehicle in the road area where the vehicle can travel is generated. In the present embodiment, the first graphic is a graphic showing the lane in which the vehicle is traveling, as shown in FIG. 8A. In the illustrated example, it is shown that the own vehicle is traveling in the second lane.
The first graphic can be generated by using the stored road map data (for example, information on the number of lanes) and the traveling lane identified by the position estimation unit 2022 in step S12.

In this example, the position of the own vehicle is displayed in three stages of the first lane, the second lane, and the third lane, but the position of the own vehicle may be indicated by other methods. When the traveling position on the road can be acquired with an accuracy finer than that of the lane, for example, the position may be displayed steplessly.
Further, the first graphic may be in another format as long as it shows the traveling position of the vehicle in the road area heading in a predetermined direction. For example, if the road extends north-south, the first graphic may indicate the position of the vehicle in the width (east-west) direction of the road.

The guide 2023 then generates a second graphic representing the electric field strength on the corresponding road. The second graphic is, for example, a graphic showing the electric field strength on the road for each lane, as shown in FIG. 8 (B). In this example, the intensity class corresponding to the road segment in which the vehicle 10 is located is expressed by the concentration.
The guide unit 2023 superimposes the first graphic and the second graphic to generate an image. The generated image is provided to the user via the input / output unit 206.

The guide unit 2023 updates the first graphic when it detects that the vehicle has changed the traveling lane. It also updates the second graphic when a vehicle enters a different road segment.

As described above, according to the system according to the present embodiment, it is possible to guide the user to a lane in which a stronger electric field strength can be obtained when there is a difference in the electric field strength of the radio signal on the road. This makes it possible for the in-vehicle device 200 to perform more stable wireless communication.

(Second embodiment)
In the first embodiment, the electric field strength is shown for each road segment and lane. On the other hand, in the second embodiment, the electric field strength map is divided into finer meshes, and a value or a strength class is given to each mesh.
The mesh can be, for example, a unit area having a size of several meters to several tens of meters square. The mesh may be defined by a known method such as geohash. In the second embodiment, the in-vehicle device 200 is configured to be able to acquire position information with an accuracy sufficient to identify the mesh.

In the first embodiment, the second graphic is updated every time the vehicle 10 crosses the road segment, but in the second embodiment, the second graphic is updated more frequently as the vehicle moves. Can be done. For example, the distribution of the electric field strength tens to hundreds of meters ahead of the vehicle is represented by a second graphic, and the graphic is scrolled as the vehicle moves. As a result, the occupant of the vehicle can grasp the radio wave condition in front of the vehicle.

However, finer particle size of information may induce frequent lane changes. Therefore, a process may be performed to intentionally roughen the particle size of the information. For example, when the mesh of the electric field strength map is set in 10 meters square, the average value for each 100 meters is calculated for the traveling direction of the vehicle 10, and the second graphic is generated using the average value. You may. This process may be executed by the server device 100 when generating the partial map, or may be executed by the vehicle-mounted device 200 that has received the partial map.

(Third embodiment)
In the first and second embodiments, the server device 100 stores a single electric field strength map. However, the electric field strength may change depending on the type of 5G antenna and the mounting position of the antenna. Therefore, in the third embodiment, the server device 100 collects these information affecting the electric field strength, classifies the communication environment based on the information, and generates an electric field strength map for each class.

In the third embodiment, the in-vehicle device 200 transmits data related to the communication environment of the own vehicle to the server device 100 at the same time as the measurement data. Examples of data related to the communication environment include the type of antenna provided in the vehicle 10, the mounting position of the antenna, the orientation of the antenna, the size of the vehicle, the height of the vehicle, and the like. These pieces of information can be stored in the storage unit 203 in advance.

In the third embodiment, in step S14, the server device 100 classifies the communication environment based on the data transmitted from the vehicle-mounted device 200, and generates an electric field strength map for each class.
Further, in step S15, the server device 100 generates a partial map from the electric field strength map corresponding to the specified class.
According to the third embodiment, since the electric field strength map can be generated for each communication environment, more appropriate information can be provided to the in-vehicle device 200.

(Modification example)
The above embodiment is merely an example, and the present disclosure may be appropriately modified and implemented without departing from the gist thereof.
For example, the processes and means described in the present disclosure can be freely combined and carried out as long as there is no technical contradiction.

For example, in the description of the embodiment, steps S11 to S17 have been described as a series of processes, but the first phase consisting of steps S11 to 14 and the second phase consisting of steps S15 to S17 are executed at independent timings. You may.
In this case, the in-vehicle device 200 may generate the position data at an arbitrary timing and transmit it to the server device 100 to start the second phase.

Further, the processing described as being performed by one device may be shared and executed by a plurality of devices. Alternatively, the processing described as being performed by different devices may be performed by one device. In a computer system, it is possible to flexibly change what kind of hardware configuration (server configuration) is used to realize each function.

The present disclosure can also be realized by supplying a computer program having the functions described in the above-described embodiment to a computer, and having one or more processors of the computer read and execute the program. Such a computer program may be provided to the computer by a non-temporary computer-readable storage medium that can be connected to the computer's system bus, or may be provided to the computer via a network. The non-temporary computer-readable storage medium is, for example, an arbitrary type of disk such as a magnetic disk (floppy (registered trademark) disk, hard disk drive (HDD), etc.), an optical disk (CD-ROM, DVD disk, Blu-ray disk, etc.). Includes read-only memory (ROM), random access memory (RAM), EPROM, EEPROM, magnetic cards, flash memory, optical cards, and any type of medium suitable for storing electronic instructions.

100 ... Server device 101, 201 ... Communication unit 102, 202 ... Control unit 103, 203 ... Storage unit 200 ... In-vehicle device 204 ... GPS module 205 ... Sensor group 206.・ ・ Input / output section

Claims (1)

A storage unit that stores road map data,
Acquiring an electric field strength map showing the electric field strength of a wireless signal in a mobile communication network using a predetermined communication standard, and
To generate a first graphic showing the traveling position of the vehicle based on the road map data and the current position of the vehicle.
By superimposing the second graphic that visually displays the electric field strength of the radio signal on the first graphic,
An information processing device having a control unit that executes the above.

Images