KR102339783B1 - Apparatus for automatic navigating and method for automatic navigating - Google Patents

Abstract

The present invention relates to an information providing apparatus and an information providing method, wherein the information providing apparatus comprises: a signal receiving unit for receiving a signal transmitted from a target; an information acquisition unit for acquiring information on a target from a signal received by the signal receiving unit using artificial intelligence; and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users, thereby capable of displaying information about the target in a battlefield situation to the user located in the battlefield situation.

Description

Information providing device and information providing method {Apparatus for automatic navigating and method for automatic navigating}

The present invention relates to an information providing apparatus and information providing method, and to an information providing apparatus and information providing method capable of displaying a target detected in a battlefield situation to a user.

The battlefield of the future is changing from a platform-oriented battlefield for each unit weapon system to a network-oriented operational environment where all weapon systems share necessary information through technical connectivity and interoperability. That is, the battlefield situation can be recognized or the battlefield situation can be shared through the network. Accordingly, it is possible to maximize combat power in a battlefield situation.

In general, in a network-centric operational environment, sensor nodes are used as a means to monitor the battlefield situation. In other words, it is possible to monitor or reconnaissance the battlefield situation through the one-dimensional information collected by the sensor node. To this end, sensor nodes were pre-arranged in an area where a battlefield situation could occur, and when a battlefield situation occurred, information about the area was collected and transmitted.

However, in performing a network-oriented operational environment, there was a problem in that it was not possible to collect battlefield situation information in an area where a sensor node was not deployed. In addition, since information is collected by sensor nodes, when nearby obstacles interfere with information collection, there is a problem in that information in the relevant area cannot be smoothly collected. In addition, there was a problem in that information could not be smoothly shared among combatants only with one-dimensional information collected through the sensor node. Accordingly, there is a need for a device or method that can perform a network-oriented operation environment even in an area where a sensor node is not installed and can facilitate information sharing among combatants.

KR 10-0660025 B1

The present invention relates to an information providing apparatus and an information providing method capable of displaying information on a target in a battlefield situation to a user located in a battlefield situation.

The present invention relates to an information providing apparatus and an information providing method capable of sharing information on a target in a battlefield situation to a plurality of users.

The present invention is a signal receiving unit for receiving a signal transmitted from the target; an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence; and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users.

The present invention is a signal receiving unit for receiving a signal transmitted from the target; an information obtaining unit for converting the signal received by the signal receiving unit into image data using artificial intelligence, and obtaining information about a target from the converted image data; and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users.

The information obtaining unit converts the signal received by the signal receiving unit into image data, and determines image data identical to the converted image data among previously stored image data.

The information acquisition unit,

an enemy identification unit for identifying an enemy target in a battlefield situation from among preset enemy targets by using the stored image data; and a positioning unit for determining the relative position of the enemy target based on the user who has acquired the signal using the signal acquisition direction.

The enemy identification unit may include: an image storage unit configured to pre-store the stored image data for a set enemy target or to store the converted image data in advance; an image conversion unit for converting the signal received from the signal receiving unit into image data; and an image identification unit for extracting the stored image data from the image storage unit and matching the converted image data to identify a type of an enemy target.

The positioning unit may include: an angle measuring unit for measuring an angle from the true north direction to the acquisition direction of the signal using GPS satellite information; and a distance measuring unit for calculating the signal loss rate and measuring the distance between the user who obtained the signal and the enemy target.

and a display unit that converts the target information transmitted from the information acquisition unit into image data or text data and displays the information to any one of a plurality of users.

The display unit may include: a first converting unit for converting the information on the target into an image symbol; a second conversion unit for converting the information on the enemy target into character symbols and numeric symbols; and a display unit for displaying information on the enemy target converted into image symbols, text symbols, and numeric symbols.

The signal receiving unit automatically receives any one of a visualized signal, an audible signal, and an electromagnetic signal in a visible region of the plurality of users and in a direction other than the visible region.

The information acquisition unit stores and extracts the stored image data and the converted image data set by using an artificial intelligence-based deep neural network, and the deep neural network, the stored image data and the transformation through an overlapping process and an integration process The features of the image data are extracted and classified.

The present invention provides a method for providing information on a target by being provided to a plurality of users, respectively, the process comprising: one user receiving a signal transmitted from the target; A process of acquiring information about the target by using a signal acquired in real time based on artificial intelligence; and a process of sharing information about the target to a plurality of users.

The process of acquiring the information on the target may include: storing information on the enemy target in advance using preset information on the enemy target and the acquired signal; A process of comparing pre-stored enemy target information with acquired enemy target information based on an artificial intelligence-based deep neural network; and determining the relative position of the enemy target with respect to the one user by using the signal acquisition direction.

The process of pre-storing the information on the enemy target is a process of extracting features by overlapping and integrating image data converted from the acquired signal and pre-stored image data of the preset enemy target, and storing the pattern of the extracted features. includes ;

The comparing of the stored enemy target information with the acquired enemy target information may include converting the acquired signal into the converted image data; and matching the converted image data and the stored image data with each other.

The process of determining the relative position of the enemy target with respect to the one user may include: measuring an angle from the true north direction to the signal acquisition direction; and measuring a distance between the one user and the enemy target through the signal loss rate.

The process of displaying the information on the target to the one user; further comprising, the process of displaying the information on the target to the one user includes, to the one user, the location of the target and the type of the target image data and This includes the process of displaying text data.

According to an embodiment of the present invention, information on a target may be automatically acquired in a visible region to which one user's gaze is directed and a region other than the visible region among a plurality of users located in a battlefield situation.

In addition, information on the acquired target may be displayed to one user and other users. Accordingly, information on a target located in a battlefield situation can be effectively shared.

In addition, by displaying the acquired information on the target as image data or text data, a plurality of users can effectively grasp information on the target.

1 is a diagram illustrating a relationship between an information providing apparatus and a user according to an embodiment of the present invention.
2 is a diagram illustrating a structure of an information providing apparatus according to an embodiment of the present invention.
3 is a diagram illustrating a state in which target information is acquired in a battlefield situation.
Figure 4 is a view showing a state of identifying information on the target and determining the location of the target.
5 is a diagram illustrating a state in which information on a target is learned by artificial intelligence.
6 is a flowchart illustrating an information providing method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in more detail with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and the scope of the invention to those of ordinary skill in the art completely It is provided to inform you. In order to explain the invention in detail, the drawings may be exaggerated, and like reference numerals refer to like elements in the drawings.

1 is a diagram illustrating a relationship between an information providing apparatus and a user according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating a structure of an information providing apparatus according to an embodiment of the present invention.

The information providing apparatus 100 according to an embodiment of the present invention uses a signal receiving unit 110 for receiving a signal transmitted from a target P, and artificial intelligence from a signal received in the signal receiving unit 110 for a target. An information sharing unit ( 130) may be included.

In addition, the information providing apparatus 100 may further include a display unit 140 that converts information on the determined enemy target P into image data or text data and displays it to a user (user 2) who obtains a signal. may be

Meanwhile, the aforementioned enemy target P may be an object recognizable by a user, for example, a military vehicle or a tank.

Meanwhile, the information providing apparatus 100 may be provided to a plurality of users (User 1 , User 2 , User 3 , and User 4 ), respectively. That is, a plurality of users may each have the signal receiving unit 110 , the information obtaining unit 120 , the information sharing unit 130 , and the display unit 140 . Alternatively, only the signal receiving unit 110 and the display unit 140 are provided to a plurality of users (User 1, User 2, User 3, and User 4), respectively, and the information obtaining unit 120 and the information sharing unit 130 are centrally located. It can also be provided as a control system. That is, a plurality of users may share the information obtaining unit 120 and the information sharing unit 130 . In an embodiment of the present invention, the signal receiving unit 110, the information obtaining unit 120, the information sharing unit 130, and the display unit 140 are provided to a plurality of users (User 1, User 2, User 3, User 4), respectively. A case in which it is provided will be exemplarily described.

1 and 2 , the signal receiver 110 may acquire a signal related to a battlefield situation. That is, the signal receiver 110 may acquire a signal containing information about the enemy target P in a battlefield situation. The signal receiving unit 110 may include an optical measuring unit 111 , an electromagnetic measuring unit 112 , a sound wave measuring unit 113 , and a transmitting unit 114 . That is, the signal receiving unit 110 acquires a signal by capturing an actual image of the visible region to which the user's gaze is directed through the optical measuring unit 111 , so that it is possible to obtain information about the presence or location of the enemy target P. In addition, since the signal receiver 110 detects a region other than the visible region through the electromagnetic measurement unit 112 and the sound wave measurement unit 113 to obtain a signal of the enemy target P, the presence of the enemy target P and location information.

Hereinafter, a user who has obtained a signal regarding the enemy target P among a plurality of users is referred to as a sensing user (User 2), and a user who has not obtained a signal regarding the enemy target P is referred to as an undetected user (User 1, User 3, User 4). That is, the sensing user sees the enemy target P in the visible area, or does not see the enemy target P in the visible area, but through the signal receiving unit 110, information on the presence and location of the enemy target P It may be a user who has obtained a signal related to the On the other hand, the undetected user may be a user in which the enemy target P does not exist in the visible region and does not acquire a signal related to the enemy target P.

More specifically, the optical measurement unit 111 may acquire a signal regarding the enemy target P by photographing an actual image of the visible region toward which the user's gaze is directed. That is, the optical measurement unit 111 may acquire a visualized signal. Here, the visible area may be an area that the user can see with his/her eyes based on the true north direction to which each user's gaze is directed. That is, the visible area may be a predetermined space radially extending along the true north direction with respect to the user. Meanwhile, in the following description, the direction in which the user's gaze is directed is referred to as a true north direction. Accordingly, through the optical measurement unit 111, the user may acquire the presence or absence of the enemy target P and the location information through the actual image.

The electromagnetic measurement unit 112 may acquire a signal regarding the enemy target P through the straightness of the radio wave. That is, the electromagnetic measurement unit 112 may acquire an electromagnetic signal. For example, the electromagnetic measuring unit 112 periodically emits radio waves and measures the time until the time when the ejected radio waves receive the reflected reflected wave to determine the presence of the enemy target P and the direction and distance of the enemy target. can be measured. For example, the electromagnetic measurement unit 112 may include a radar. Accordingly, the user may acquire information on the enemy target P in a region other than the visible region through the electromagnetic measurement unit 112 . That is, it is possible to provide suitable information to the user by acquiring information on a nearby area of the visible area, rather than monitoring only a specific area.

The sound wave measurement unit 113 may acquire a signal regarding the enemy target P by emitting ultrasonic waves. That is, the sound wave measurement unit 113 may obtain an audio signal. For example, the sound wave measurement unit 113 may generate high-frequency sound vibrations and acquire information on the enemy target P based on a principle in which the resonance is captured. For example, the sound wave measurement unit 113 may include a sonar sensor. Accordingly, the user may acquire information on the enemy target P in an area other than the visible area through the sound wave measurement unit 113 .

The transmitter 114 is connected to the optical measurement unit 111, the electromagnetic measurement unit 112, and the sound wave measurement unit 113, respectively, and the optical measurement unit 111, the electromagnetic measurement unit 112, and the sound wave measurement unit 113. A signal obtained through , may be transmitted to the information obtaining unit 120 . Meanwhile, the transmitter 114 may transmit the acquired signal to the information acquisition unit 120 without converting it into image data, or may convert the acquired signal into image data and then transmit it to the information acquisition unit 120 . Hereinafter, a case in which the transmitter 114 transmits the acquired signal to the information acquirer 120 without converting it into image data will be exemplarily described.

Meanwhile, the signal receiving unit 110 may further include an auxiliary information obtaining unit (not shown) capable of obtaining status information of a plurality of users. As described above, the auxiliary information acquisition unit is provided to a plurality of users (User 1, User 2, User 3, User 4), respectively, and may be connected to each other over a network communication network. For example, the auxiliary information acquisition unit may acquire status information of a plurality of users (User 1, User 2, User 3, and User 4) by using the Internet of Things (Iot). Here, the auxiliary information acquisition unit converts information on the presence or absence of weapons, the amount of ammunition, and the driving state of each of the plurality of users into power data through the Internet of Things (IoT) method, and can classify the converted power data for each set section. Here, the auxiliary information acquisition unit may divide the power data of each of the plurality of users into, for example, grades 1 to 4 and classify them. Accordingly, the auxiliary information acquisition unit may divide the battle information of each of the plurality of users by section and acquire each power data.

3 is a view showing a state of acquiring information of a target in a battlefield situation, FIG. 4 is a view showing a state of identifying information on a target and determining a position of a target, and FIG. 5 is a view showing information of a target with artificial intelligence It is a drawing showing the state of learning.

1 to 5 , the information acquisition unit 120 learns in advance about the enemy target P and the ally based on artificial intelligence, and detects the enemy target P using the learned information, and detects It is possible to identify the enemy of the enemy target (P). Here, the peer of the enemy target P may relate to whether the identity of the enemy target P is a friend or an enemy.

Referring to FIG. 5 , the information acquisition unit 120 can learn by collecting image data and storing and extracting the collected image data using an artificial intelligence-based deep neural network. In addition, the information acquisition unit 120 ) can detect the enemy target (P) to determine the enemy to the enemy target (P).

Here, artificial intelligence may include deep learning to cluster or classify image data. In addition, the deep neural network may include a convolutional neural network that extracts features of image data and learns patterns of features through an overlapping process and an integration process. To this end, the information acquisition unit 120 may include an enemy identification unit 121 and a location check unit 122 .

The enemy identification unit 121 may convert the signal transmitted from the transmitter 114 into image data, and use the converted image data to identify an enemy target in a battlefield situation among preset enemy targets P. The enemy identification unit 121 may include an image storage unit 121a, an image conversion unit 121b, and an image identification unit 121c.

The image storage unit 121a may pre-store image data for information of the enemy target P, or may pre-store a signal converted into image data through the image conversion unit 121b. That is, the image storage unit 121a may know in advance the general shape and structure of the enemy target P through image data regarding the enemy target P.

Also, the image storage unit 121a may additionally store image data that is transmitted in real time from the signal receiving unit 110 and the signal is converted into image data through the image converting unit 121b. That is, in addition to the preset image data for the enemy target P, the image data for the floating target P may be updated and stored.

In addition, the image storage unit 121a may additionally store image data used in the identification process after identification of the enemy target P through the image identification unit 121c is finished. That is, the image data used in the identification process can be used to learn after the identification process is completed. Accordingly, the image storage unit 121a may have clearer image data for the enemy target through the image data transmitted from the signal receiving unit 110 .

On the other hand, the image storage unit 121a may store the image data of the ally while including the image in the image data of the enemy target P. That is, the image storage unit 121a may divide and store the image data of the enemy target P by dividing the image of the friendly target or the image of the enemy target in the image data of the enemy target P.

Also, the image storage unit 121a may store power data together with image data for friendly and enemy targets P. That is, the image storage unit 121a may store power data by including power data in image data of friendly and enemy targets, respectively. Here, the power data may refer to information on the presence or absence of weapons, the amount of ammunition held, and the driving state of the weapon. Accordingly, the image storage unit may classify the friendly and enemy targets P according to the power data for each set section. Here, the set section may be, for example, grades 1 to 4.

The image converter 121b may convert the signal transmitted from the signal receiver 110 into image data (ie, converted image data). Here, the image conversion unit 121b may convert at least one of a visualized signal, an auditory signal, and an electromagnetic signal into image data. Accordingly, even if any signal among the visualized signal, the auditory signal, and the electromagnetic signal is transmitted through the transmitter 114, it can be easily converted into image data.

The image identification unit 121c extracts image data stored in advance in the image storage unit 121a based on artificial intelligence and matches the image data transmitted in real time from the signal receiving unit 110 to identify the enemy of the target P. can be identified. More specifically, the image identification unit 121c recognizes an image pattern of the image data transmitted in real time from the signal receiving unit 110, and selects a matching pattern among the respective image patterns for the grouped friendly and enemy targets P. You can find out if they are friendly or enemy targets.

Also, the image identification unit 121c may identify the type (ie, type) of the enemy target P based on artificial intelligence. That is, the image identification unit 121c searches for image data matching the identified image data among the image data related to the type (ie, model) of the enemy target P preset in the image storage unit 121a to find the identified enemy target. (P) type (ie, type) can be confirmed. For example, as shown in FIG. 4A , a type (ie, a model) to which the identified enemy target P is identified among various types of enemy targets P may be identified. Here, after recognizing the pattern of the identified image data, the image identification unit 121c matches the image data with the matching pattern among the grouped image data of the preset enemy target P to determine the identified enemy target P. You can check the type (ie, type). Accordingly, after the peer of the enemy target P detected through the image identification unit 121c is identified, the type of the identified target (ie, the model) may be confirmed.

Meanwhile, the enemy identification unit 121 may further include an image identification unit 121d. The image discrimination unit 121d compares the power data of the enemy target P identified through the image identification unit with the power data of the undetected users (ie, allies) to determine the undetected user in which the power data is superior. . For example, when the power data of the identified enemy target P is level 2, the image discrimination unit 121d may determine an undetected user (ie, friend) whose power data is level 1.

Referring to FIG. 4B , the positioning unit 122 may determine the relative position of the enemy target P with respect to the sensing user by using the signal acquisition direction. As described above, the visualized signal, the auditory signal, and the electromagnetic signal obtained by the signal receiver 110 may each have a directionality. Accordingly, the positioning unit 122 may determine the relative position through the directionality of each signal with respect to the true north direction, and may determine the relative distance through the obtained signal loss rate. The positioning unit 122 may include an angle measuring unit 122a and a distance measuring unit 122b.

The angle measuring unit 122a may measure the angle from the true north direction to the signal reception direction. Here, the true north direction is a direction pointing to true north, and may be a direction with the head of each user as the origin and the North Star, that is, the North as the end point. That is, as shown in FIG. 4B , the true north direction may be a direction vertically upward in the drawing with respect to each user.

For example, the angle measuring unit 122a may convert the true north direction and the receiving direction into vector values, and then calculate the angle between the two directions as a dot product of the two vector values. On the other hand, the angle measuring unit 122a may calculate the angle through a direction vector that changes the three-dimensional coordinates based on the azimuth. However, the method of calculating the angle by the angle measuring unit 122a is not limited thereto, and may vary. Accordingly, the angle from the sensing user to the receiving direction can be measured as α.

Meanwhile, when the angle measuring unit 122a calculates the angle, the angle to the target direction with respect to the true north direction of the sensing user (user 2 ) may be measured as a positive or negative angle. For example, as shown in Fig. 4(b), the angle α to the reception direction from the true north direction of the sensing user (user 2) is measured in both directions because the angle is formed along the counterclockwise direction. may be exemplarily shown.

The distance measuring unit 122b may measure the distance between the sensing user and the enemy target P through the signal loss rate. In general, a signal may be lost in the course of its movement. That is, the signal may have a loss rate. In this case, a loss rate may occur in the obtained signal in proportion to the moved distance. Accordingly, by measuring the loss rate of the acquired signal, the distance between the enemy target P and the sensing user may be measured as A. However, the method of calculating the distance by the distance measuring unit 122b is not limited thereto, and may vary.

The information sharing unit 130 uses the information determined by the information acquisition unit 120 to provide information on the enemy target P to other users (User 1, User 3, and User 4) who did not recognize the enemy target P. can be shared That is, in addition, the information providing device 100 can share information on the enemy target P to other users (eg, user 1, user 3, user 4) who do not recognize the enemy target P, so that information on the enemy target P can be shared. It may further include a sharing unit 130 , that is, the information providing apparatus 100 allows a user who senses the enemy target P to use the information sharing unit 130 to allow a plurality of users (User 1, User 2, and User). It is also possible to provide information about the enemy target P to a user located in a position within the battlefield situation among users 4) or a user located outside the battlefield situation.

The information sharing unit 130 may include a reception determining unit 131 , an ally position measuring unit 132 , an information transmitting unit 133 , and an ally information converting unit 134 .

The reception determination unit 131 may determine an undetected user among a plurality of users (User 1, User 2, User 3, User 4). As described above, the reception determination unit 131 is provided to a plurality of users (User 1, User 2, User 3, User 4), respectively, and may be connected to each other over a network communication network. Accordingly, the reception determination unit 131 determines whether information about the enemy target P has been acquired by the signal reception unit 110, and does not detect any of the plurality of users (User 1, User 2, User 3, User 4). user can be judged.

The friendly position measurement unit 132 can determine the positions of undetected users (eg, user 1, user 3, user 4) based on the detected user (ie, user 2) who has obtained information about the enemy target P. have. That is, the friendly position measuring unit 132 may measure the relative angles and relative distances of the undetected users (eg, user 1, user 3, and user 4) with respect to the sensed user (ie, user 2). Here, the friendly position measuring unit 132 may calculate relative position information of undetected users by using, for example, GPS satellite information.

The information transmission unit 133 may set a priority for each communication network among the communication networks of undetected users, and transmit information about the identified enemy target P through the data link. Here, the criterion of the priority set by the information transmission unit 133 may follow the preset priority. That is, the information transmitter 133 may set priorities among a plurality of users (User 1, User 2, User 3, and User 4) in advance.

Also, the information transmitter 133 may sequentially list the communication networks of undetected users according to the priority based on the set priority, and transmit information about the identified enemy target P according to the listed order. Here, the information transmission unit 133 may set the order in a way that sets the communication network of the user in the upper command system more superior. Accordingly, since the information transmission unit 133 transmits information about the enemy target from the user in the upper command system, it is possible to quickly locate an undetected user having a higher power data level than the enemy target P at the corresponding location.

The friendly information conversion unit 134 may convert the data in the KVMF format into data in the C4I format. As described above, the information transmission unit 133 compares the power data of the undetected user (ie, friendly force) with the power data of the enemy target (P) from the image discrimination unit 121d to KVMF format data. can be sent to Accordingly, the data in the KVMF format may be converted into data in the C4I format through the friendly information conversion unit 134 . Here, C4I may be a tactical command automation system that can three-dimensionally check the battlefield situation by automating command, control, communication, computer, and intelligence. Accordingly, when using C4I, power data of each of a plurality of users is integrated into one information network in a battlefield situation, and information on major battlefield situations can be shared between a plurality of users in real time through wired or wireless communication. . Meanwhile, the ally information conversion unit 134 may convert C4I format data into KVMF format data.

The display unit 140 may convert information on the determined enemy target P into image data or text data and display it to a user (eg, user 2) who has obtained a signal. The display unit 140 may include a first conversion unit 141 , a second conversion unit 142 , and a display unit 143 .

The first conversion unit 141 may convert information about the enemy target P into an image symbol. That is, the first conversion unit 141 may convert the information on the enemy target P determined by the information acquisition unit 120 , that is, the type (ie, model) of the enemy target P into an image symbol. Accordingly, information corresponding to the identified enemy target P may be converted into a picture image, that is, a photo of the enemy target P, and the user may check information of the enemy target P as a photograph.

The second conversion unit 142 may convert information on the enemy target P into character symbols and numeric symbols. That is, the second conversion unit 142 converts the information on the enemy target determined by the information acquisition unit 120 , that is, the relative position (ie, relative angle and relative distance) of the enemy target P into character symbols and numeric symbols. can do. Accordingly, information corresponding to the identified enemy target P may be converted into letters and numbers, and the user may check information on the enemy target, ie, relative angles and relative distances, in letters and numbers.

The display unit 143 may display information about the enemy target P converted into an image symbol, a character symbol, and a numeric symbol to the user. For example, the display unit 143 may be provided as a display. That is, the display unit 143 may display the information so that the user can visually check the information. Accordingly, since the display unit 143 displays a photo of the enemy target P and displays the relative angle and relative distance information of the enemy target P in the form of letters and numbers, the user can display information about the enemy target P can be checked more effectively.

On the other hand, a method of using the information providing apparatus 100 to search for the enemy target P will be described while explaining the information providing method.

6 is a flowchart illustrating an information providing method according to an embodiment of the present invention. The information providing method according to an embodiment of the present invention is a method of providing information on a target P by being provided to a plurality of users (User 1, User 2, User 3, User 4), respectively, and one user A process of receiving a signal transmitted from (S110), a process of acquiring information about the target using a signal acquired in real time based on artificial intelligence (S120), and sharing information about the target to a plurality of users It may include a process (S130). Also, the information providing method may include a process ( S140 ) of displaying information about the enemy target P to one user (eg, user 2 ).

First, a user may acquire a signal in a battlefield situation (S110). That is, the optical measuring unit 111 , the electromagnetic measuring unit 112 , and the sound wave measuring unit 113 of the signal receiving unit 110 may obtain a visualized signal, an electromagneticized signal, and an auditory signal, respectively. Thereafter, the signal obtained through the optical measurement unit 111 , the electromagnetic measurement unit 112 , and the sound wave measurement unit 113 may be transmitted to the information acquisition unit 120 by using the acquired signal transmission unit 114 .

Thereafter, an enemy target (P) located outside the visible area of a user during a battlefield situation can be detected using a signal obtained in real time based on artificial intelligence, and the enemy target (P) can be identified according to the detection result (S120) . First, using the image storage unit 121a, preset information on the enemy target P and information on the enemy target P may be stored in advance using the acquired signal. Meanwhile, before the image storage unit stores information about the enemy target P, the image conversion unit 121b may convert the signal transmitted from the signal receiver 110 into image data.

Thereafter, the pre-stored enemy target P information and the acquired target information may be compared using the image identification unit 121c. Here, the image pattern of the image data transmitted in real time through the image identification unit 121c is recognized, and the matching pattern is found among the image patterns of the grouped friendly and enemy targets P to determine whether the target is a friendly or an enemy target. can be identified.

Thereafter, using the positioning unit 122 , a relative angle and a relative distance to the identified enemy target P with respect to the sensing user (eg, user 2 ) may be measured. That is, the relative angle can be measured by measuring the angle from the true north direction to the signal acquisition direction. In addition, the relative distance can be measured by checking the loss rate of the received signal.

Thereafter, using the information sharing unit 130 , information regarding the identified enemy target P may be shared with undetected users who have not obtained information regarding the identified enemy target P.

In addition, information about the identified enemy target P may be displayed using the display unit 140 . That is, it is possible to convert the position of the enemy target P and the type (ie, model) of the enemy target P into image data and text data to be displayed on the display to the sensing user. Accordingly, the sensing user can confirm the type of the identified enemy target P as a photo, and confirm the position in the form of letters and numbers.

As such, it is possible to automatically acquire information about the target in a region other than the visible region to which one user's gaze is directed among a plurality of users located in the battlefield situation. In addition, information on the acquired target may be displayed to one user and other users. Accordingly, information on a target located in a battlefield situation can be effectively shared. In addition, by displaying the acquired information on the target as image data or text data, a plurality of users can effectively grasp information on the target.

As such, although specific embodiments have been described in the detailed description of the present invention, various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims to be described below as well as the claims and equivalents.

100: information providing device 110: signal receiving unit
120: information acquisition unit 130: information sharing unit
140: display unit P: enemy target

Claims (16)

a signal receiving unit for receiving a signal transmitted from the target;
an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users;
The information obtaining unit converts the signal received by the signal receiving unit into image data and determines the same image data as the converted image data among the previously stored image data,
The information acquisition unit stores and extracts the stored image data and the converted image data set using an artificial intelligence-based deep neural network,
The deep neural network is an information providing apparatus for extracting and classifying features of the stored image data and the converted image data through an overlapping process and an integration process. a signal receiver for receiving a signal transmitted from the target;
an information obtaining unit for converting the signal received by the signal receiving unit into image data using artificial intelligence, and obtaining information about a target from the converted image data; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users;
The information acquisition unit determines the same image data as the converted image data among the image data stored in advance,
The information acquisition unit stores and extracts the stored image data and the converted image data set using an artificial intelligence-based deep neural network,
The deep neural network is an information providing apparatus for extracting and classifying features of the stored image data and the converted image data through an overlapping process and an integration process. delete The method according to claim 1,
The information acquisition unit,
an enemy identification unit for identifying an enemy target in a battlefield situation from among preset enemy targets by using the stored image data; and
and a positioning unit for determining the relative position of the enemy target based on the user who acquired the signal using the signal acquisition direction. a signal receiving unit for receiving a signal transmitted from the target;
an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users;
The information obtaining unit converts the signal received by the signal receiving unit into image data and determines the same image data as the converted image data among the previously stored image data,
The information acquisition unit,
an enemy identification unit for identifying an enemy target in a battlefield situation from among preset enemy targets by using the stored image data; and
a positioning unit for determining the relative position of the enemy target based on the user who has acquired the signal using the signal acquisition direction;
The enemy identification unit,
an image storage unit configured to pre-store the stored image data for a set enemy target or to pre-store the converted image data;
an image conversion unit for converting the signal received from the signal receiving unit into image data; and
and an image identification unit for extracting the stored image data from the image storage unit and matching the converted image data to identify a type of an enemy target. a signal receiving unit for receiving a signal transmitted from the target;
an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users;
The information obtaining unit converts the signal received by the signal receiving unit into image data and determines the same image data as the converted image data among the previously stored image data,
The information acquisition unit,
an enemy identification unit for identifying an enemy target in a battlefield situation from among preset enemy targets by using the stored image data; and
a positioning unit for determining the relative position of the enemy target based on the user who has acquired the signal using the signal acquisition direction;
The positioning unit,
an angle measuring unit for measuring an angle from the true north direction to the acquisition direction of the signal by using GPS satellite information; and
and a distance measuring unit for calculating the signal loss rate and measuring the distance between the user who obtained the signal and the enemy target. 5. The method according to claim 4,
and a display unit that converts the target information transmitted from the information acquisition unit into image data or text data and displays the information to any one of a plurality of users. a signal receiver for receiving a signal transmitted from the target;
an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence;
an information sharing unit for sharing information about the target acquired by the information acquisition unit to a plurality of users; and
and a display unit that converts the information on the target transmitted from the information acquisition unit into image data or text data and displays it to any one user among a plurality of users; and
The information obtaining unit converts the signal received by the signal receiving unit into image data and determines the same image data as the converted image data among the previously stored image data,
The information acquisition unit,
an enemy identification unit for identifying an enemy target in a battlefield situation from among preset enemy targets by using the stored image data; and
a positioning unit for determining the relative position of the enemy target based on the user who has acquired the signal using the signal acquisition direction;
The display unit,
a first conversion unit for converting the information on the target into an image symbol;
a second conversion unit for converting the information on the enemy target into character symbols and numeric symbols; and
An information providing device comprising a; a display unit for displaying information on the enemy target converted into image symbols, text symbols, and numeric symbols. a signal receiving unit for receiving a signal transmitted from the target;
an information acquisition unit for acquiring information on a target from a signal received by the signal reception unit using artificial intelligence; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users;
The information obtaining unit converts the signal received by the signal receiving unit into image data and determines the same image data as the converted image data among the previously stored image data,
The signal receiving unit, an information providing apparatus for automatically receiving any one of a signal visualized in a visible region of the plurality of users and a direction other than the visible region, an audio signal, and an electromagnetic signal. delete A method for providing information about a target by being provided to a plurality of users, respectively,
a process in which a user receives a signal transmitted from a target;
A process of acquiring information about the target by using a signal acquired in real time based on artificial intelligence; and
Including; sharing information about the target to a plurality of users;
The process of acquiring information on the target includes pre-stored information on the enemy target using preset enemy target information and the acquired signal, and the process of pre-stored enemy target information based on artificial intelligence-based deep neural network. and comparing the acquired enemy target information and determining the relative position of the enemy target with respect to the one user by using the signal acquisition direction,
The process of storing information about the enemy target in advance includes:
and extracting features by superimposing and integrating image data converted from the pre-stored image data of the preset enemy target and the acquired signal, and storing a pattern of the extracted features. delete delete 12. The method of claim 11,
The process of comparing the stored enemy target information with the acquired enemy target information includes:
converting the acquired signal into the converted image data; and
and matching the converted image data and the stored image data with each other. 12. The method of claim 11,
The process of determining the relative position of the enemy target based on the one user is,
measuring an angle from the true north direction to the signal acquisition direction; and
and measuring a distance between the one user and the enemy target based on the signal loss rate. 12. The method of claim 11,
Displaying the information about the target to the one user; further comprising,
The process of displaying the information about the target to the one user includes displaying the position of the target and the type of the target to the one user as image data and text data.

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