Drone simulation system for identifying enermy using infrared image

Abstract

The present invention relates to a drone simulation system for identifying friendly and enemy forces using infrared images, which is intended to educate on drone support strategies for friendly forces assuming night combat training through simulation. The system captures infrared images using a real drone during actual night combat training to identify friendly and enemy (opposing force) objects in the images, projects the identified friendly and enemy objects into a virtual space to recreate a virtual combat situation, trains the optimal drone position and movement path to remotely support friendly forces by controlling a virtual drone in the virtual combat situation, and derives the optimal rear support weapon.

Description

Technology Field

[0001] The present invention relates to a drone simulation system for identifying friendly and enemy forces using infrared images, which is intended to educate on drone support strategies for friendly forces assuming night combat training through simulation. The system captures infrared images using a real drone during actual night combat training to identify friendly and enemy (opposing force) objects in the images, projects the identified friendly and enemy objects into a virtual space to recreate a virtual combat situation, trains the optimal drone position and movement path to remotely support friendly forces by controlling a virtual drone in the virtual combat situation, and derives the optimal rear support weapon. Background Technology

[0002] The friendly / enemy identification device is a device that identifies the enemy and friendly forces. Although the friendly / enemy identification device is a considerably expensive device and is mainly installed only on equipment such as aircraft, ships, and armored vehicles, it identifies whether an aircraft in the air is a friendly or enemy aircraft based on whether the aircraft transmits a predetermined response pulse in response to a specific question pulse fired from a secondary surveillance radar on the ground.

[0003] Generally, an Identification Friend or Foe (IFF) is a cryptographic device that identifies whether an object is friendly or enemy by sending an encrypted signal to aircraft, ships, armored vehicles, tanks, etc., and checking for the return of a response signal. It is installed in weapon systems such as aerial vehicles, water vehicles, underwater vehicles, interceptor aircraft, and surface-to-air attack vehicles.

[0004] Such friend-or-foe identification devices consist of transponders, ciphers, interrogators, and control panels, and their fields of application have been gradually expanding recently; accordingly, they are being applied not only to equipment and devices but also to individuals such as soldiers.

[0005] As a technology applying an enemy-friendly identification device to individual soldiers, a user-wearable identification device is disclosed in Korean Patent Publication No. 10-2023-0046587.

[0006] The above technology comprises: a light output unit that outputs light of a specific light emission pattern to the outside for friend-or-foe identification; a communication unit that transmits and receives information with a friend-or-foe identification device according to a predefined communication protocol; a memory unit that stores user identification information including at least one of user affiliation information, rank information, and position information; and a control unit that controls the operation of the light output unit based on a control signal input by the user or received from an external device.

[0007] However, applying IFF (Identification Friend or Foe) systems to individual soldiers has the disadvantage that it is very difficult to move quickly and engage in combat, as each soldier must carry at least a transponder and a power supply to operate it.

[0008] Meanwhile, as unmanned aerial vehicle technology has advanced rapidly in recent years, demand for them is increasing explosively worldwide. The aforementioned unmanned aerial vehicles are unmanned aircraft that can be controlled via radio waves through remote control or autopilot without a pilot on board; commonly referred to as drones, they are equipped with cameras, sensors, ultrasonic equipment, and communication systems, and are also used for military purposes by additionally carrying weapons when necessary.

[0009] Furthermore, the recent application of various drones, such as suicide drones and reconnaissance drones, on the battlefield, as well as the analysis of footage captured by drones for diverse purposes including surveillance, reconnaissance, and communication relay, is leading to the growth of the military training and simulation software market.

[0010] Accordingly, as a technology for simulating drone control skills, a drone simulator system applying realistic images was disclosed in Registered Patent Publication No. 10-2410870.

[0011] The above technology includes: a terrain generation unit that generates simulator terrain data using high-resolution aerial photographs from spatial information including aerial photographs, a Digital Elevation Model (DEM), a land cover map, and a building model acquired for simulator production; a tile map generation unit that generates a tile map to the simulator terrain data using the Digital Elevation Model (DEM) from the spatial information; a realistic image region generation unit that generates a realistic image region for the simulator terrain data using the land cover map from the spatial information; a building model generation unit that generates a 3D model metafile using the building model from the spatial information and places the generated model in the corresponding region of the simulator terrain data; and the terrain generation unit, the tile map generation unit, the realistic image region generation unit, and the building model generation unit.

[0012] As such, while various technologies have been developed to simulate drone piloting skills for operation, there is an urgent need for a drone simulation system capable of simulating drone operations on the battlefield. Prior art literature

[0013] Published Patent Application No. 10-2023-0046587 (April 6, 2023) Registered Patent Application No. 10-2410870 (June 22, 2022) The problem to be solved

[0014] The present invention was created to solve the problems of the conventional technology described above. The objective of the present invention is to provide a drone simulation system for identifying friendly and enemy forces using infrared images, which captures infrared images using a real drone, extracts friendly and enemy objects from the captured infrared images and depicts them in an LVC-based virtual space, identifies friendly and enemy forces in a virtual combat situation according to the operation of a virtual drone, and performs rear support based on the locations of the identified friendly and enemy objects.

[0015] In addition, the invention provides a drone simulation system for identifying friend or foe using infrared imaging, which allows one to acquire drone piloting skills that enable one to learn friend or foe identification in a real battlefield through a virtual drone, and to scout or operate the overall positions of friendly and enemy forces in the battlefield. means of solving the problem

[0016] A drone simulation system for identifying friend or foe using infrared images according to an embodiment of the present invention for solving the above problem comprises: a controller for controlling a virtual drone; a console including a control switch, a keyboard, a microphone, a speaker, and a display window for requesting rear support necessary for combat and receiving and outputting results regarding the requested rear support; an LVC server for reproducing a virtual combat situation by projecting objects corresponding to an arbitrary number of friendly and enemy (opposing forces) into a virtual space based on LVC (Live Virtual Constructive), outputting the virtual combat situation reproduced according to the movement of the virtual drone based on control information transmitted from the controller, describing the virtual combat situation based on the rear support transmitted from the console, and outputting results regarding the described virtual combat situation; and a display for displaying a simulation image output from the LVC server, wherein the objects are characterized by capturing infrared images with an actual drone and being extracted from the captured infrared images.

[0017] Here, the object is configured to acquire infrared images by photographing the movements of a first object equipped with an infrared radiation identification IR that emits infrared rays and a second object not equipped with an infrared imaging device using a drone equipped with an infrared imaging device, and to determine the outline of the first object in the acquired infrared images as a friendly object, and to determine the outline of the second object in the acquired infrared images as an enemy object.

[0018] Additionally, the contour is detected by including: a noise removal process that removes noise included in the image by applying a Gaussian filter to one frame selected in the infrared image; a vector magnitude calculation process that calculates the magnitude of a gradient vector using a Sobel operator on the frame from which noise has been removed through the noise removal process; a scanning process that scans to remove pixels in the remaining area excluding the contour from the frame from which the magnitude of the gradient vector has been calculated through the vector magnitude calculation process; a contour connection process that connects the contour to the frame that has undergone the scanning process using a hysteresis thresholding method; and a contour definition process that detects an object structure from the contour connected through the contour connection process.

[0019] In addition, the LVC server is characterized by comprising: a map simulator that depicts and provides a randomly selected object among friendly and enemy (opposing force) objects in a virtual space based on LVC (Live Virtual Constructive); a flight simulator that depicts the virtual drone to fly in the virtual space depicted by the map simulator based on operation information of the virtual drone transmitted from the controller; a strike simulator that depicts an explosion event in the virtual space provided by the map simulator based on a virtual weapon used based on rear support transmitted from the console; and an evaluation simulator that determines and provides the damage situation of friendly forces and enemy forces performed by the strike simulator.

[0020] In addition, the object depicted in the map simulator is configured to have its size and shape depicted based on the distance, location, altitude, and magnification ratio from the virtual drone.

[0021] In addition, the virtual weapon is characterized as being a virtual bomb or virtual shell used for virtual aerial bombardment or virtual rear bombardment.

[0022] In addition, the console may include a Head Mounted Display (HMD) that is linked to the LVC server and outputs a simulation video output from the LVC server. Effects of the invention

[0023] According to the present invention, friendly and enemy objects captured by a drone and extracted from actual infrared images are depicted in an LVC-based virtual space, thereby enabling tactical training that can distinguish between friendly and enemy forces based on infrared images of an actual battlefield.

[0024] In addition, it can improve the positioning capabilities of drones capable of reconnoitering friendly and enemy forces, and provide a training environment for fire support requests that can maximize enemy damage by identifying friend or foe during rear support.

[0025] In addition, it has the advantage of enabling various drone piloting training and enhancing the mission focus and combat capabilities of drone pilots. Brief explanation of the drawing

[0026] FIG. 1 is an overall configuration diagram of a drone simulation system for identifying friend or foe using infrared imaging according to the present invention. FIG. 2 is a drawing showing an embodiment of a controller applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention. FIG. 3 is a drawing showing an embodiment of a console applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention. FIG. 4 is a schematic configuration diagram of an LVC server applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention. FIG. 5 is an infrared image for extracting an object in a drone simulation system for identifying friend or foe using infrared images according to the present invention, FIG. 6 is a diagram showing an image of an example of a friendly object depicted on a map of a virtual space applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention. Specific details for implementing the invention

[0027] Hereinafter, embodiments of the present invention are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present invention. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that it includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the present invention.

[0028] When it is stated that one component is "connected" or "joined" to another component, it should be understood that while it may be directly connected or joined to that other component, there may also be other components in between.

[0029] On the other hand, when it is stated that one component is "directly connected" or "directly coupled" to another component, it should be understood that there are no other components in between.

[0030] The terms used in this specification are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as “comprising” or “having” are intended to indicate the existence of the features, numbers, processes, operations, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, processes, operations, components, parts, or combinations thereof.

[0031] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0032] The term "MODULE" as used in this specification refers to a unit that processes a specific function or operation, and may refer to hardware, software, or a combination of hardware and software.

[0033] Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings. Instead, based on the principle that the inventor may appropriately define the concepts of terms to best describe their invention, they must be interpreted in a meaning and concept consistent with the technical spirit of the invention. Furthermore, unless otherwise defined, technical and scientific terms used shall have the meaning commonly understood by those skilled in the art to which this invention pertains. Descriptions of known functions and configurations that could unnecessarily obscure the essence of the invention are omitted in the following description and accompanying drawings. The drawings presented below are provided as examples to ensure that the spirit of the invention is sufficiently conveyed to those skilled in the art. Accordingly, the invention is not limited to the drawings presented below and may be embodied in other forms. Additionally, throughout the specification, the same reference numerals indicate the same components. It should be noted that the same components in the drawings are represented by the same reference numerals wherever possible.

[0034] The present invention relates to a drone simulation system for identifying friendly and enemy forces using infrared images, which is intended to educate on drone support strategies for friendly forces assuming night combat training through simulation. The system captures infrared images using a real drone during actual night combat training to identify friendly and enemy (opposing force) objects in the images, projects the identified friendly and enemy objects into a virtual space to recreate a virtual combat situation, trains the optimal drone position and movement path to remotely support friendly forces by controlling a virtual drone in the virtual combat situation, and derives the optimal rear support weapon.

[0035] FIG. 1 is a diagram showing the overall configuration of a drone simulation system for identifying friend or foe using infrared imaging according to the present invention.

[0036] Referring to the attached FIG. 1, the drone simulation system for identifying friend or foe using infrared images according to the present invention comprises a controller (100), a console (200), an LVC server (300), and a display (400).

[0037] The controller (100) controls the flight altitude and flight direction of the virtual drone and is configured to include two physical sticks that support up-down and left-right direction operation, a flight mode switch, a control mode switch, etc.

[0038] FIG. 2 is a diagram showing an example of a controller applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention.

[0039] The above flight modes may be configured to support modes 1 through 4, and may be configured to support only modes 1 and 2 as needed.

[0040] In Form 1, the right stick controls the throttle and the left stick controls the elevator, and in Form 2, the left stick controls the throttle and the right stick controls the elevator. Modes 3 and 4 are rarely used, so their description is omitted in this invention.

[0041] In addition, control modes consist of GPS mode, Attitude mode, and Manual mode.

[0042] GPS mode is a mode where the virtual drone automatically corrects altitude and position, Attitude mode is a mode where only altitude is automatically corrected, and Manual mode is a manual mode where the operator must correct both altitude and position.

[0043] As mentioned above, an understanding of and operation methods for throttle, rudder, yaw, elevator, pitch, aileron, and roll related to flight movements are required; however, since these are already well-known technologies, a detailed explanation is omitted.

[0044] The console (200) performs the function of requesting rear support necessary for combat, including an operation switch, keyboard, microphone, speaker, and display window, and receiving and outputting the result of the requested rear support.

[0045] FIG. 3 is a diagram showing an example of a console applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention.

[0046] That is, the console (200) displays the control and status of the virtual drone, displays images captured by the EO (Electro-Optics) / IR (Infrared Radiation) mounted on the virtual drone, and provides the control status and mission of the virtual drone. This handles flight control, inspection, takeoff and landing, mission, video surveillance, data link, and data processing of the virtual drone.

[0047] In addition, the console (200) may also be equipped with a virtual drone controller function.

[0048] In addition, the console (200) of the present invention is provided with a display window capable of performing a rear support request by requesting rear support through an input device such as a keyboard or mouse at a designated location on a map displayed through a virtual drone.

[0049] In addition, the console (200) may be configured to include a Head Mounted Display (HMD) (210) that is connected to an LVC server (300) and outputs a simulation video output from the LVC server (300).

[0050] The LVC server (300) projects objects corresponding to an arbitrary number of friendly and enemy forces (opposing forces) into a virtual space based on LVC (Live Virtual Constructive) to recreate a virtual combat situation, outputs the virtual combat situation recreated according to the movement of the virtual drone based on control information transmitted from the controller, depicts the virtual combat situation based on rear support transmitted from the console, and performs the function of outputting an evaluation of the depicted virtual combat situation.

[0051] The display (400) displays a simulation video output from the LVC server (300).

[0052] Next, the LVC server of the present invention will be described.

[0053] The LVC server (300) is equipped with a type of software engine (or hardware engine) for performing the drone simulation of the present invention, performs the simulation according to the set logic, processes events transmitted from the controller (100) and the console (200), and transmits the results to the console (200) or the display (400) for display or output.

[0054] Figure 4 is a diagram showing the schematic configuration of an LVC server applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention.

[0055] Referring to the attached FIG. 4, the LVC server (300) applied to the drone simulation system for identifying friend or foe using infrared images according to the present invention includes a map simulator (310), a flight simulator (320), a strike simulator (330), and an evaluation simulator (340).

[0056] The map simulator (310) provides a depiction of a randomly selected object among friendly and enemy (opposing force) objects in a virtual space based on LVC (Live Virtual Constructive).

[0057] Here, the map can express the realism of the terrain using aerial photographs and a Digital Elevation Model (DEM).

[0058] The above map may include multiple scenarios based on a topographic map, classified into mountainous areas including mountains / fields / rivers, urban areas including buildings / houses / underpasses, and coastal areas including beaches / breakwaters / seawalls.

[0059] The map may be composed of one or more combinations of two or more of the above scenarios.

[0060] In addition, the virtual space depicted by the map simulator (310) may reflect natural environment information. For example, the natural environment information may consist of rain, snow, wind, fog, clouds, moonlight, tides, etc., having a predetermined parameter value.

[0061] In the above, the object depicted in the virtual space provided by the map simulator (310) is an object extracted from an infrared image captured by a real drone and applied from the captured infrared image.

[0062] In other words, the above objects are distinguished into friendly objects and enemy (opposing force) objects and depicted in the virtual space.

[0063] Because the human body emits similar infrared radiation, it is difficult to distinguish between friendly and enemy forces in captured infrared images. To elaborate, during night combat, identifying friend or foe is challenging because friendly and enemy forces appear identical in infrared footage captured by drones.

[0064] Infrared Radiation (IFF) is a combat equipment that is receiving renewed attention as the precision of guided weapons increases and the importance of close air support for ground forces is emphasized. In particular, IFF is recognized as an essential combat equipment for situations where close quarter battles must be fought while mixed with the enemy, such as during night battles or in urban areas.

[0065] Identification IR is a safety device that prevents unnecessary friendly fire or friendly fire by outputting infrared or green LED flashing signals that are invisible to the naked eye to identify friendly forces, including the person wearing it.

[0066] This friend-or-foe identification IR is configured using a Light Emitting Diode to be smaller and lighter than the palm of your hand, yet possesses robust durability and can emit powerful light for over 500 hours with just a single small battery.

[0067] The above friend-or-foe identification IR can be attached to a ballistic helmet using Velcro, and is configured to be freely attached to the shoulder or thigh, etc., if necessary.

[0068] At night, infrared makes nothing visible to the enemy, but friendly forces wearing night vision goggles can confirm each other's positions and can also report their location to aerial drones, attack helicopter pilots performing Close Air Support (CAS) missions, and gunners on tanks or infantry fighting vehicles.

[0069] Accordingly, the present invention is configured to simulate friendly forces equipped with friend-or-foe identification IR and enemy forces not equipped with friend-or-foe identification IR during combat in close proximity between friendly forces and enemy forces by capturing infrared images of friendly forces and enemy forces using a real drone and reproducing the objects of friendly forces and enemy forces extracted from the captured infrared images in a virtual space.

[0070] Specifically, the movement of a first object equipped with an infrared radiation identification IR that emits infrared radiation and a second object not equipped with an infrared imaging device is captured by a drone equipped with an infrared imaging device to acquire an infrared image, and the outline of the first object in the acquired infrared image is determined to be a friendly object, and the outline of the second object in the acquired infrared image is determined to be an enemy object.

[0071] Figure 5 shows an infrared image for extracting an object in a drone simulation system for identifying friend or foe using infrared images according to the present invention.

[0072] The process of extracting an object through an infrared image in the present invention is as follows.

[0073] The object extraction process in the present invention comprises a noise removal process, a vector magnitude calculation process, a scanning process, a contour connection process, and a contour definition process.

[0074] 1. Noise Reduction Process

[0075] The noise removal process is a process of removing noise contained in an image by applying a Gaussian filter to a selected frame of an infrared image.

[0076] 2. Vector Magnitude Calculation Process

[0077] The vector magnitude calculation process is the process of calculating the magnitude of the gradient vector using the Sobel operator on the frame from which noise has been removed through the aforementioned noise removal process.

[0078] 3. Scanning process

[0079] The scanning process is a process of scanning to remove pixels in the remaining area excluding the contours from the frame in which the magnitude of the gradient vector has been calculated through the aforementioned vector magnitude calculation process.

[0080] During the above scanning process, only the pixels with the maximum gradient value in the scan area in the gradient direction are kept, and the rest are suppressed to 0 and removed.

[0081] 4. Contour connection process

[0082] The contour connection process is the process of connecting contours to the frame that has undergone the above-mentioned scanning process using the hysteresis thresholding method.

[0083] 5. Contour Definition Process

[0084] The contour definition process defines the object structure by detecting it from the contours connected through the aforementioned contour connection process. At this time, the object structure detection is performed by scanning the image from a binary image to a TV raster and defining the contours by following the edges until the desired pixel is found.

[0085] When an outline is detected, it is converted into rectangular blocks based on the center coordinates of the detected outline and extracted as an object.

[0086] The objects extracted through the above process are projected in a random number into a virtual space provided by a map simulator (310) through an engine that describes human movement (walking, running, lying down, etc.), and each object is formed into a group of friendly and enemy forces to recreate a virtual combat situation.

[0087] In this process, friendly objects are depicted as periodically emitting infrared to simulate the attachment of friend-or-foe identification IR, while enemy objects are depicted only as the shape of the infrared.

[0088] FIG. 6 is a diagram showing an image of an example of a friendly object depicted on a map of a virtual space applied to a drone simulation system for identifying friend or foe using infrared images according to the present invention.

[0089] Accordingly, by extracting friendly forces using friend-or-foe identification IR and enemy forces excluded from actual infrared images and reproducing virtual combat situations, it becomes possible to experience learning to identify friendly and enemy forces through combat simulations similar to actual combat.

[0090] In other words, it has the advantage of providing realistic infrared images in a virtual space by reproducing objects extracted from actual infrared images in the virtual space, rather than objects generated by the simulation engine itself.

[0091] The flight simulator (320) describes the virtual drone to fly in a virtual space described by the map simulator based on the operation information of the virtual drone transmitted from the controller (100).

[0092] The virtual drone described above is an aircraft that flies in a virtual space and is implemented by reflecting actual operational aircraft parameters. That is, the virtual drone can be composed of an aircraft that reflects the specifications (size, weight, operating time, etc.) used in actual flight.

[0093] In addition, virtual drones can be equipped with various functions applied to actual drones. For example, they may include artificial intelligence algorithms such as autonomous driving, obstacle avoidance, and object tracking.

[0094] The virtual drone described above is depicted in a virtual space by a flight simulator (320) and flies in the virtual space according to control information such as flight speed, left / right rotation, up / down rotation, and axis rotation transmitted from a controller (100).

[0095] Accordingly, the LVC server (300) controls the display of a screen shown on a virtual infrared camera mounted on a virtual drone of the flight simulator (320).

[0096] Here, the virtual image captured by the virtual drone shown in the flight simulator (320) is depicted and displayed based on the altitude of the virtual drone, the distance between the virtual drone and the object, etc. Specifically, the object depicted in the map simulator is configured to have its size and shape depicted based on the distance from the virtual drone, location, altitude, and zoom level, etc.

[0097] The impact simulator (330) depicts an explosion event in the virtual space provided by the map simulator based on the virtual weapon used based on the rear support transmitted from the console (200).

[0098] To this end, the console (200) is configured with input devices such as a keyboard, mouse, and microphone that specify a striking location and request rear support to the specified striking location.

[0099] In the above, the designation of the strike location may be configured so that the simulation trainee requests the longitude and latitude of the map provided by the map simulator (310) by voice or inputs them using a computer input device such as a keyboard / mouse.

[0100] In the above, virtual weapons consist of virtual bombs or virtual shells used for virtual aerial bombardment or virtual rear bombardment.

[0101] In addition, the virtual weapon is configured to have a delay time for actual use from the request time to the time of impact.

[0102] The evaluation simulator (340) determines and provides the damage situation of friendly forces and enemy forces as performed by the strike simulator (330).

[0103] The damage situation is determined by estimating casualties caused by blast pressure and shrapnel based on the positions of friendly and enemy forces at the point of impact. Specifically, the system is configured to assess the damage situation based on the type of weaponry (shells or bombs) used, the damage range for each type, obstacles such as buildings or terrain features, and the types of obstacles.

[0104] According to the present invention, friendly and enemy objects captured by a drone and extracted from actual infrared images are depicted in an LVC-based virtual space, thereby enabling tactical training that can distinguish between friendly and enemy forces based on infrared images of an actual battlefield.

[0105] In addition, it can improve the positioning capabilities of drones capable of reconnoitering friendly and enemy forces, and provide a training environment for fire support requests that can maximize enemy damage by identifying friend or foe during rear support.

[0106] In addition, it has the advantage of enabling various drone piloting training and enhancing the mission focus and combat capabilities of drone pilots.

[0107] The embodiments described in this specification and the accompanying drawings are merely illustrative of a part of the technical concept included in the present invention. Accordingly, since the embodiments disclosed in this specification are intended to explain, not limit, the technical concept of the present invention, it is obvious that the scope of the technical concept of the present invention is not limited by these embodiments. All variations and specific embodiments that can be easily deduced by a person skilled in the art within the scope of the technical concept included in the specification and drawings of the present invention should be interpreted as being included within the scope of the rights of the present invention. Explanation of the symbols

[0108] 100: Remote controller 200: Console 210: HMD 300: LVC Server 310: Map Simulator 320: Flight Simulator 330: Hitting Simulator 340: Evaluation Simulator 400: Display

Claims

Claim 1 A controller for controlling a virtual drone; a console including control switches, a keyboard, a microphone, a speaker, and a display window that requests rear support necessary for combat and receives and outputs the results of the requested rear support; and an LVC server that projects objects corresponding to an arbitrary number of friendly and enemy (opposing forces) into a virtual space based on LVC (Live Virtual Constructive) to recreate a virtual combat situation, outputs the recreated virtual combat situation based on the movement of the virtual drone based on control information transmitted from the controller, depicts the virtual combat situation based on the rear support transmitted from the console, and outputs an evaluation of the depicted virtual combat situation. and a display that displays a simulation video output from the LVC server; wherein the object is characterized by capturing an infrared image with an actual drone and being extracted from the captured infrared image; the LVC server acquires an infrared image by capturing the movement of a first object equipped with an Infrared Radiation (IFF) device emitting infrared rays and a second object not equipped with an IFF device using a drone equipped with an infrared imaging device, determines the outline of the first object in the acquired infrared image as a friendly object, determines the outline of the second object in the acquired infrared image as an enemy object, and the outline is a noise removal process that removes noise included in the image by applying a Gaussian filter to one selected frame in the infrared image; a vector magnitude calculation process that calculates the magnitude of a gradient vector using a Sobel operator on the frame from which noise has been removed through the noise removal process; and to remove pixels in the remaining area excluding the outline from the frame for which the magnitude of the gradient vector has been calculated through the vector magnitude calculation process A scanning process; a contour connection process that connects contours to the frame that has undergone the above scanning process using a hysteresis thresholding method;A drone simulation system for identifying friend or foe using infrared images, characterized by including a contour definition process that detects an object structure from a contour connected through the above-mentioned contour connection process. Claim 2 delete Claim 3 delete Claim 4 A drone simulation system for identifying friendly and enemy forces using infrared images according to claim 1, wherein the LVC server comprises: a map simulator that describes and provides a randomly selected object among friendly and enemy (opposing force) objects in a virtual space based on LVC (Live Virtual Constructive); a flight simulator that describes the virtual drone to fly in the virtual space described by the map simulator based on operation information of the virtual drone transmitted from the controller; a strike simulator that describes an explosion event in the virtual space provided by the map simulator based on a virtual weapon used based on rear support transmitted from the console; and an evaluation simulator that determines and provides the damage situation of friendly forces and enemy forces performed by the strike simulator. Claim 5 A drone simulation system for identifying friend or foe using infrared images, characterized in that, in claim 4, the object depicted in the map simulator is configured to have its size and shape depicted based on the distance, position, altitude, and magnification ratio from the virtual drone. Claim 6 A drone simulation system for identifying friend or foe using infrared images, characterized in that, in claim 4, the virtual weapon is a virtual bomb or virtual shell used for virtual aerial bombardment or virtual rear bombardment. Claim 7 A drone simulation system for identifying friend or foe using infrared images, characterized in that, in claim 1, the console includes a Head Mounted Display (HMD) that is linked to the LVC server and outputs a simulation image output from the LVC server.

Images