KR20230062270A - Method and apparatus for matching identifier with location of wireless access point - Google Patents

Abstract

The present invention relates to a method for matching identification information with location information of an AP device which is performed by at least one processor of a computing device. The method for matching identification information with location information of an AP device comprises the following steps of: receiving first location information of the AP device; receiving a wireless signal from the AP device; determining a location of a computing device receiving the wireless signal by a plurality of second location information; extracting identification information and signal strength of the AP device from each of the plurality of second location information based on the wireless signal; and matching identification information to the first location information based on the plurality of second location information.

Description

Method and apparatus for matching location information and identification information of an access point (AP) device

The present disclosure relates to a method and apparatus for matching identification information to location information of a wireless access point (AP) device, and specifically, to a method and apparatus for matching identification information extracted from a radio signal of the AP device to location information of the AP device, and It's about the device.

Recently, as the use of mobile devices such as smart phones has become popular, and large-capacity memory and high-performance processors are mounted on mobile devices, various applications can be executed. As one of the technologies using such a mobile device, a location-based service providing convenience to users is widely spread.

When a location-based service is used outdoors, a location estimation technology using a global positioning system (GPS) may be generally used. On the other hand, in the case of indoors, a positioning technology based on wireless communication using a wireless access point (AP) is generally used. In wireless communication-based positioning technology, prior information (eg, installation location, MAC address, etc.) of an AP may be required. Although preliminary information of the AP can be obtained through the manager of the facility where the AP is installed, if the manager does not accurately grasp the latest state of the AP, the preliminary information of the AP may be missing or an error may occur with the actual location of the AP.

Meanwhile, according to an example of a conventional wireless communication-based positioning technology, a wireless signal of an AP may be collected, and a position of the AP may be estimated through a Passloss model parameter and trilateration using information included in the wireless signal. However, in this case, since the parameter of the passloss model is estimated and the location is estimated at the same time, there is a problem in that an error occurs between the estimated location of the AP and the location of the installed AP. In addition, as signal attenuation occurs due to the structure of a building in which the AP is installed or a structure located indoors, there is a problem in that the accuracy of estimating the location of the AP is lowered.

The present disclosure provides a method for matching identification information to location information of an AP device, a computer program stored in a recording medium, and a device (system) to solve the above problems.

The present disclosure may be implemented in a variety of ways, including a method, apparatus (system) or computer program stored on a readable storage medium.

According to an embodiment of the present disclosure, a method of matching identification information to location information of an AP device executed by at least one processor of a computing device is provided. A method of matching identification information to location information of an AP device includes receiving first location information of the AP device, receiving a radio signal of the AP device, and assigning a location of a computing device receiving the radio signal to a plurality of pieces of second location information. extracting the identification information and signal strength of the AP device from each of the plurality of second location information based on the radio signal, and matching the identification information to the first location information based on the plurality of second location information. It includes steps to

According to an embodiment of the present disclosure, a method of matching identification information to location information of an AP device executed by at least one processor of a computing device is provided. A method of matching identification information to location information of an AP device includes obtaining information associated with the AP device, determining first location information of the AP device based on the acquired information, and receiving a radio signal of the AP device. , determining the location of the computing device receiving the radio signal as a plurality of second location information, extracting identification information and signal strength of the AP device from each of the plurality of second location information based on the radio signal, and a plurality of second location information. and matching identification information to the first location information based on the second location information.

According to an embodiment of the present disclosure, an apparatus for estimating a location of an AP device is provided. An apparatus for estimating a location of an AP device includes a communication module, a memory, and at least one processor connected to the memory and configured to execute at least one computer-readable program included in the memory, wherein the at least one program is configured to execute a second program of the AP device. 1 Acquiring location information, receiving a radio signal of an AP device, determining a location of a device receiving the radio signal with a plurality of second location information, and AP in each of the plurality of second location information based on the radio signal and instructions for extracting device identification information and signal strength, and matching the identification information to first location information based on a plurality of second location information.

According to some embodiments of the present disclosure, a user can obtain information independently without going through a manager of a facility in which an AP device is installed by simply obtaining identification information matched with a location of an AP device using a computing device. Even if an additional AP device is installed in the facility or its location is changed, these changes can be easily monitored.

According to some embodiments of the present disclosure, using a computing device to which a sensor including a camera, a LiDAR sensor, and a communication module is connected, information on a location where an AP device is installed may be obtained, and at the same time, a wireless signal received from the AP device may be obtained. Since identification information and the like can be extracted based on this, it is possible to efficiently match the identification information to the location information of the AP device.

According to some embodiments of the present disclosure, since identification information of an AP device is matched to location information acquired using a computing device to which a sensor including a camera, a LiDAR sensor, and a communication module is connected, the corresponding AP is based on a wireless signal of the AP device. Compared to estimating the location of the device, it is possible to more accurately estimate the installation location of the AP device.

The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned are clear to those skilled in the art (referred to as “ordinary technicians”) from the description of the claims. will be understandable.

Embodiments of the present disclosure will be described with reference to the accompanying drawings described below, wherein like reference numbers indicate like elements, but are not limited thereto.
1 is a diagram illustrating an example of receiving AP image information and a radio signal in order for a user to estimate a location of an AP device and match identification information according to an embodiment of the present disclosure.
2 is a schematic diagram illustrating a configuration in which an information processing system is communicatively connected to a plurality of computing devices in order to estimate a location of an AP device according to an embodiment of the present disclosure.
3 is a block diagram showing internal configurations of a computing device and an information processing system according to an embodiment of the present disclosure.
4 is a functional block diagram illustrating an internal configuration of a processor of a computing device according to an embodiment of the present disclosure.
5 is a functional block diagram illustrating internal configurations of a processor of a computing device and a processor of an information processing system according to an embodiment of the present disclosure.
6 illustrates an example of first location information of an AP device determined according to an embodiment of the present disclosure.
7 illustrates an example of second location information of a computing device determined according to an embodiment of the present disclosure.
8 illustrates an example of first location information matched with identification information of an AP device according to an embodiment of the present disclosure.
9 is a flowchart illustrating a method of matching identification information to location information of an AP device according to an embodiment of the present disclosure.
10 is a flowchart illustrating a method of matching identification information to location information of an AP device according to another embodiment of the present disclosure.

Hereinafter, specific details for the implementation of the present disclosure will be described in detail with reference to the accompanying drawings. However, in the following description, if there is a risk of unnecessarily obscuring the gist of the present disclosure, detailed descriptions of well-known functions or configurations will be omitted.

In the accompanying drawings, identical or corresponding elements are given the same reference numerals. In addition, in the description of the following embodiments, overlapping descriptions of the same or corresponding components may be omitted. However, omission of a description of a component does not intend that such a component is not included in an embodiment.

Advantages and features of the disclosed embodiments, and methods of achieving them, will become apparent with reference to the following embodiments in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms, but only the present embodiments make the present disclosure complete, and the present disclosure does not extend the scope of the invention to those skilled in the art. It is provided only for complete information.

Terms used in this specification will be briefly described, and the disclosed embodiments will be described in detail. The terms used in this specification have been selected from general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary according to the intention of a person skilled in the related field, a precedent, or the emergence of new technology. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, the terms used in the present disclosure should be defined based on the meaning of the terms and the general content of the present disclosure, not simply the names of the terms.

Expressions in the singular number in this specification include plural expressions unless the context clearly dictates that they are singular. Also, plural expressions include singular expressions unless the context clearly specifies that they are plural. When it is said that a certain part includes a certain component in the entire specification, this means that it may further include other components without excluding other components unless otherwise stated.

Also, the term 'module' or 'unit' used in the specification means a software or hardware component, and the 'module' or 'unit' performs certain roles. However, 'module' or 'unit' is not meant to be limited to software or hardware. A 'module' or 'unit' may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a 'module' or 'unit' includes components such as software components, object-oriented software components, class components, and task components, processes, functions, and attributes. , procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, or variables. Functions provided within components and 'modules' or 'units' may be combined into a smaller number of components and 'modules' or 'units', or further components and 'modules' or 'units'. can be further separated.

According to one embodiment of the present disclosure, a 'module' or 'unit' may be implemented with a processor and a memory. 'Processor' should be interpreted broadly to include general-purpose processors, central processing units (CPUs), microprocessors, digital signal processors (DSPs), controllers, microcontrollers, state machines, and the like. In some circumstances, 'processor' may refer to an application specific integrated circuit (ASIC), programmable logic device (PLD), field programmable gate array (FPGA), or the like. 'Processor' refers to a combination of processing devices, such as, for example, a combination of a DSP and a microprocessor, a combination of a plurality of microprocessors, a combination of one or more microprocessors in conjunction with a DSP core, or a combination of any other such configurations. You may. Also, 'memory' should be interpreted broadly to include any electronic component capable of storing electronic information. 'Memory' includes random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), programmable read-only memory (PROM), erasable-programmable read-only memory (EPROM), It may also refer to various types of processor-readable media, such as electrically erasable PROM (EEPROM), flash memory, magnetic or optical data storage, registers, and the like. A memory is said to be in electronic communication with the processor if the processor can read information from and/or write information to the memory. Memory integrated with the processor is in electronic communication with the processor.

In the present disclosure, a 'system' may include at least one of a server device and a cloud device, but is not limited thereto. For example, a system may consist of one or more server devices. As another example, a system may consist of one or more cloud devices. As another example, the system may be operated by configuring a server device and a cloud device together.

In the present disclosure, a 'wireless access point' may represent a networking device for providing a wireless communication channel to a wirelessly connectable device such as a smart phone, tablet PC, laptop computer, or the like, or a mobile device. In the present disclosure, the term 'wireless access point' is used interchangeably with 'access point (AP)', 'AP device', etc., and may equally refer to a networking device for providing a wireless communication channel to a mobile device or the like. .

In the present disclosure, 'location information' may include coordinate information on a 3D space indicating the location of a device installed in a fixed location of a specific facility, such as an AP device. For example, the location information may include location and/or direction (or pose) information of an object such as an AP device in a 3D space.

1 is a diagram of a user 110 using a computing device 120 to estimate the location of AP devices 130_1, 130_2, and 130_3 and to match identification information with AP image information and wireless communication according to an embodiment of the present disclosure. It is a diagram showing an example of receiving a signal. As shown, the user 110 may estimate the locations of the AP devices 130_1 , 130_2 , and 130_3 using the computing device 120 . Here, the computing device 120 may refer to a user terminal or mobile device in which an AP location estimating application is installed.

According to an embodiment, the computing device 120 may receive first location information of the AP devices 130_1, 130_2, and 130_3 from an external device. In this case, the first location information may indicate a predetermined installation location of the AP device, and coordinate information of the installation location (eg, 3-dimensional coordinates (X _i , Y _i , Z _i ) of the location where the AP device is installed) can include Additionally or alternatively, the computing device 120 may detect and determine first location information of the AP devices 130_1 , 130_2 , and 130_3 using a sensor including a camera, a LiDAR sensor, and a communication module connected thereto. For example, the computing device 120 may determine first location information of the AP devices 130_1 , 130_2 , and 130_3 based on an image of the AP device captured through a camera. In another example, the user 110 may determine first location information of the AP devices 130_1 , 130_2 , and 130_3 based on point cloud information obtained using a LiDAR sensor connected to the computing device 120 . Through this, the user 110 can obtain accurate location information of the AP devices 130_1, 130_2, and 130_3.

According to an embodiment, the computing device 120 may receive radio signals of the AP devices 130_1, 130_2, and 130_3 to extract identification information and signal strength of the AP devices 130_1, 130_2, and 130_3. The received wireless signals of the AP devices 130_1, 130_2, and 130_3 include identification information of the AP devices 130_1, 130_2, and 130_3 (eg, MAC (Media Access Control) address, SSID (Service Set Identifier), BSSID (Basic Service Set identifier), etc.) and signal strength information (RSSI: Received Signal Strength Intensity/Indication).

The computing device 120 may determine the location of the computing device 120 receiving the wireless signal as a plurality of pieces of second location information. For example, the user 110 may receive radio signals of the AP devices 130_1, 130_2, and 130_3 using the computer device 120 while moving through a space where the AP devices 130_1, 130_2, and 130_3 are installed, and , the computing device 120 may determine locations of the computing device 120 receiving the wireless signal as a plurality of second location information. In this case, the plurality of pieces of second location information may include coordinate information (eg, (X _j , Y _j , Z _j )) on a 3D space or information about a set of a plurality of coordinate information. Additionally or alternatively, the computing device 120 may sense and determine the second location information of the computing device 120 using a sensor including a camera, LiDAR, and a communication module connected thereto.

The computing device 120 may extract identification information and signal strength of an AP device from each of a plurality of pieces of second location information based on a radio signal. For example, the computing device 120 provides identification information (eg, MAC) based on a wireless signal received from each of a plurality of second location information (eg, (X _j , Y _j , Z _j )) receiving the wireless signal. address, SSID, BSSID, etc.) and signal strength information (RSSI) can be extracted. As a result, the computing device 120 provides identification information (e.g., information including the first MAC address) and signal strength information may be obtained.

According to an embodiment, the computing device 120 may match identification information to first location information based on a plurality of second location information. For example, comparing the first location information of the AP device with the second location information associated with the first MAC address, determining second location information overlapping or adjacent to the first location information, and determining the AP device associated with the second location information. The identification information (eg, the first MAC address) of may be matched with the AP device having the first location information. In other words, the first MAC address, which is identification information, may be matched with the first location information of the AP device.

Through this configuration, identification information (eg, MAC address, etc.) of the AP device associated with the location of the AP device is efficiently determined using the computing device 120, so that the AP device can be easily installed without going through the manager of the facility. Location information of the AP device may be obtained. In addition, even if an AP device is additionally installed in a facility or its location is changed, the computing device 120 can be used to monitor whether or not the AP device is installed or changes in location information at a necessary time or periodically.

2 is a schematic diagram illustrating a configuration in which an information processing system 230 is communicatively connected to a plurality of computing devices 210_1, 210_2, and 210_3 in order to estimate a location of an AP device according to an embodiment of the present disclosure. The information processing system 230 may include a system capable of providing a location estimation service of an AP device to a plurality of computing devices 210_1 , 210_2 , and 210_3 through the network 220 . According to an embodiment, the information processing system 230 may include one or more server devices and/or servers capable of storing, providing, and executing computer-executable programs (eg, downloadable applications) and data related to the AP device location estimation service. database, or one or more distributed computing devices and/or distributed databases based on cloud computing services. The AP device location estimation service provided by the information processing system 230 may be provided to a user through an AP device location estimation application installed in each of the plurality of computing devices 210_1 , 210_2 , and 210_3 .

The plurality of computing devices 210_1 , 210_2 , and 210_3 may communicate with the information processing system 230 through the network 220 . The network 220 may be configured to enable communication between the plurality of computing devices 210 and the information processing system 230 . Depending on the installation environment, the network 220 may include, for example, a wired network 220 such as Ethernet, a wired home network (Power Line Communication), a telephone line communication device, and RS-serial communication, a mobile communication network, and a wireless LAN (WLAN). LAN), a wireless network 220 such as Wi-Fi, Bluetooth, and ZigBee, or a combination thereof. The communication method is not limited, and the computing device (210_1, 210_2, 210_3) as well as a communication method utilizing a communication network (eg, mobile communication network, wired Internet, wireless Internet, broadcasting network, satellite network, etc.) that the network 220 may include. ), short-range wireless communication between them may also be included. For example, the network 220 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , one or more arbitrary networks of the networks 220, such as the Internet. In addition, the network 220 may include any one or more of network topologies including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. Not limited.

In FIG. 2, a mobile phone terminal 210_1, a tablet terminal 210_2, and a PC terminal 210_3 are illustrated as examples of computing devices, but are not limited thereto, and the computing devices 210_1, 210_2, and 210_3 may perform wired and/or wireless communication. It can be any device capable of this and on which the AP device location estimation application can be installed and executed. For example, computing devices include smartphones, mobile phones, navigation devices, computers, laptop computers, digital broadcasting terminals, Personal Digital Assistants (PDAs), Portable Multimedia Players (PMPs), tablet PCs, game consoles, and wearable devices ( wearable device), internet of things (IoT) device, virtual reality (VR) device, augmented reality (AR) device, and the like. 2, three computing devices 210_1, 210_2, and 210_3 are illustrated as communicating with the information processing system 230 through the network 220, but are not limited thereto, and a different number of computing devices 210_1, 210_2 and 210_3 may be configured to communicate network 220 with information processing system 230 .

In one embodiment, the computing devices 210_1, 210_2, and 210_3 on which the AP device location estimation application operates receive the first location information of the AP device and determine the location of the computing device receiving the radio signal as a plurality of second locations. Information, the identification information of the AP device may be matched to the first location information based on the plurality of second location information.

According to another embodiment, the computing devices 210_1, 210_2, and 210_3 may determine the first location information of the AP device using a sensor including a camera, a LiDAR sensor, and a communication module. In addition, the computing devices 210_1, 210_2, and 210_3 may determine the location of the computing device receiving the wireless signal as a plurality of pieces of second location information, and match identification information to the first location information based on the second location information. there is.

In the above-described embodiments, some of the functions or modules executed by the computing devices 210_1 , 210_2 , and 210_3 may be executed by the information processing system 230 . For example, the computing devices 210_1, 210_2, and 210_3 process information obtained by sensors including cameras, LiDAR sensors, and communication modules and/or information included in received wireless signals through the network 220. system 230. In response, the information processing system 230 determines the first location information of the AP device based on information obtained by a sensor including a camera, a LiDAR sensor, and a communication module, and transmits the information to the computing devices 210_1, 210_2, and 210_3. can transmit Additionally, the information processing system 230 determines the location of the computing device receiving the radio signal as a plurality of second location information, and the result of matching the identification information to the first location information based on the plurality of second location information. It may be transmitted to the computing devices 210_1, 210_2, and 210_3.

3 is a block diagram showing internal configurations of a computing device 210 and an information processing system 230 according to an embodiment of the present disclosure. The computing device (or user terminal) 210 may refer to any device capable of executing an AP device location estimation application and capable of wired/wireless communication, for example, a mobile phone terminal 210_1 of FIG. 2 or a tablet terminal. (210_2), PC terminal (210_3), and the like. As shown, computing device 210 may include memory 312 , processor 314 , communication module 316 and input/output interface 318 . Similarly, the information processing system 230 may include a memory 332 , a processor 334 , a communication module 336 and an input/output interface 338 . As shown in FIG. 3, the computing device 210 and the information processing system 230 are configured to communicate information and/or data over the network 220 using respective communication modules 316 and 336. It can be. Additionally, input/output device 320 may be configured to input information and/or data to computing device 210 via input/output interface 318 or output information and/or data generated from computing device 210 .

The memories 312 and 332 may include any non-transitory computer readable media. According to one embodiment, the memories 312 and 332 are non-perishable mass storage devices such as random access memory (RAM), read only memory (ROM), disk drives, solid state drives (SSDs), flash memory, and the like. (permanent mass storage device) may be included. As another example, a non-perishable mass storage device such as a ROM, SSD, flash memory, or disk drive may be included in the computing device 210 or the information processing system 230 as a separate permanent storage device separate from memory. Also, the memories 312 and 332 may store an operating system and at least one program code (eg, a code for an AP device location estimation application that is installed and driven in the computing device 210 ).

These software components may be loaded from a computer readable recording medium separate from the memories 312 and 332 . A recording medium readable by such a separate computer may include a recording medium directly connectable to the computing device 210 and the information processing system 230, for example, a floppy drive, a disk, a tape, a DVD/CD- It may include a computer-readable recording medium such as a ROM drive and a memory card. As another example, software components may be loaded into the memories 312 and 332 through a communication module rather than a computer-readable recording medium. For example, the at least one program is based on a computer program (eg, an AP device location estimation application) installed by developers or files provided over the network 220 by a file distribution system that distributes application installation files. and can be loaded into the memories 312 and 332.

The processors 314 and 334 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processors 314 and 334 by memories 312 and 332 or communication modules 316 and 336 . For example, processors 314 and 334 may be configured to execute instructions received according to program codes stored in a recording device such as memory 312 and 332 .

The communication modules 316 and 336 may provide configurations or functions for the computing device 210 and the information processing system 230 to communicate with each other through the network 220, and the computing device 210 and/or information processing. System 230 may provide configuration or functionality for communicating with other computing devices or other systems (eg, separate cloud systems). For example, a request generated by the processor 314 of the computing device 210 according to a program code stored in a recording device such as the memory 312 (eg, a request for estimating the position of an AP device, a request for estimating the position of an AP device) data requests, etc.) may be transferred to the information processing system 230 through the network 220 under the control of the communication module 316 . Conversely, a control signal or command provided under the control of the processor 334 of the information processing system 230 is transmitted through the communication module 316 of the computing device 210 via the communication module 336 and the network 220. It may be received by the computing device 210 . For example, the computing device 210 may receive AP device location estimation data and/or AP device location estimation data from the information processing system 230 through the communication module 316 .

The input/output interface 318 may be a means for interfacing with the input/output device 320 . As an example, the input device may include a device such as a camera including an image sensor, a keyboard, a microphone, and a mouse, and the output device may include a device such as a display, a speaker, and a haptic feedback device. As another example, the input/output interface 318 may be a means for interface with a device in which a configuration or function for performing input and output is integrated into one, such as a touch screen. For example, when the processor 314 of the computing device 210 processes a command of a computer program loaded into the memory 312, the information processing system 230 or another computing device 210 provides information and/or A service screen constructed using data may be displayed on the display through the input/output interface 318 . In FIG. 3 , the input/output device 320 is not included in the computing device 210, but is not limited thereto, and may be configured as one device with the computing device 210. In addition, the input/output interface 338 of the information processing system 230 is connected to the information processing system 230 or means for interface with a device (not shown) for input or output that the information processing system 230 may include. can be In FIG. 3, the input/output interfaces 318 and 338 are shown as separate elements from the processors 314 and 334, but are not limited thereto, and the input/output interfaces 318 and 338 may be included in the processors 314 and 334. there is.

Computing device 210 and information processing system 230 may include many more components than those of FIG. 3 . However, there is no need to clearly show most of the prior art components. According to one embodiment, the computing device 210 may be implemented to include at least some of the aforementioned input/output devices 320 . In addition, the computing device 210 may further include other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors such as a LiDAR sensor, and a database. For example, if the computing device 210 is a smartphone, it may include components that are generally included in a smartphone, for example, an acceleration sensor, a gyro sensor, a camera module, various physical buttons, and a touch screen. Various components such as a button using a panel, an input/output port, and a vibrator for vibration may be implemented to be further included in the computing device 210 .

According to one embodiment, processor 314 of computing device 210 may be configured to operate an AP device location estimation application or a web browser application. At this time, a program code associated with the corresponding application may be loaded into the memory 312 of the computing device 210 . While the application is running, the processor 314 of the computing device 210 receives information and/or data provided from the input/output device 320 through the input/output interface 318 or through the communication module 316 to the information processing system ( 230), and may process and store the received information and/or data in the memory 312. Additionally, such information and/or data may be provided to information processing system 230 via communication module 316 .

While the AP device location estimation application is running, the processor 314 uses the input device 320 such as a touch screen connected to the input/output interface 318, a keyboard, various sensors (eg, LiDAR sensor, etc.), and a camera including an image sensor. It is possible to receive text, image, video, point cloud data, etc. input or selected through, and store the received text, image, and/or video memory 312 or process information through the communication module 316 and network 220. system 230. For example, the processor 314 may receive information about a data request related to AP device location estimation through an input device such as a touch screen or a keyboard. Requests and/or information thus received may be provided to information processing system 230 via communication module 316 and network 220 .

Processor 314 of computing device 210 manages, processes, and/or stores information and/or data received from input/output device 320, other computing devices, information processing system 230, and/or a plurality of external systems. can be configured to Information and/or data processed by processor 314 may be provided to information processing system 230 via communication module 316 and network 220 . The processor 314 of the computing device 210 may transmit and output information and/or data to the input/output device 320 through the input/output interface 318 . For example, processor 314 may display received information and/or data on a screen of a computing device.

Processor 334 of information processing system 230 may be configured to manage, process and/or store information and/or data received from multiple computing devices 210 and/or multiple external systems. Information and/or data processed by processor 334 may be provided to computing device 210 via communication module 336 and network 220 . Although the information processing system 230 is shown as a single system in FIG. 3, it is not limited thereto and may be composed of a plurality of systems/servers for providing various services related to the AP device location estimation service. For example, the information processing system 230 may include a separate server for providing first location information.

4 is a functional block diagram illustrating an internal configuration of a processor 314 of a computing device according to an embodiment of the present disclosure. As shown, the processor 314 may include a first location information management unit 410, a second location information determination unit 420, a radio signal extraction unit 430, and an identification information matching unit 440. Although a single processor is illustrated in FIG. 4 , it is not limited thereto, and the computing device may include a plurality of processors to perform the same function as the processor 314 .

According to an embodiment, the first location information management unit 410 may determine first location information of the AP device. For example, the first location information management unit 410 may determine the first location information by using a location estimation algorithm such as a Visual Simultaneous Localization and Mapping (VSLAM) method based on an image acquired through a camera connected to the computing device. there is. Specifically, the first location information management unit 410 combines information obtained using object detection based on an image of the AP device and location information estimated using the VSLAM method to determine the location of the AP device. The first location information may be determined. In another example, the first location information manager 410 may determine the first location information based on point cloud data obtained using a light detection and ranging (LiDAR) sensor connected to the computing device.

According to an embodiment, the second location information determining unit 420 may determine a location of a computing device receiving a wireless signal as a plurality of pieces of second location information. For example, the second location information determination unit 420 may provide coordinate information (e.g., (X _j , Y _j , Z _j ) on a plurality of 3D spaces associated with the location of the computing device 120 receiving the radio signal). ) may be determined as a plurality of second location information. In this case, the plurality of pieces of second location information may include information about a set of pieces of coordinate information. Additionally or alternatively, the second location information determining unit 420 may determine the second location information of the computing device by using a location estimation algorithm such as a VSLAM method based on an image acquired through a camera connected to the computing device. . In another example, the second location information determiner 420 may determine the second location information of the computing device based on point cloud data acquired using a LiDAR sensor connected to the computing device. It is not limited to the above example, and the second location information determiner 420 may determine the second location information of the computing device using a WiFi Positioning System (WPS) method or a GPS sensor attached to the computing device.

According to an embodiment, the wireless signal extractor 430 may receive a wireless signal of the AP device and extract identification information and signal strength of the AP device from each of a plurality of pieces of second location information based on the wireless signal. . For example, the radio signal extractor 430 may determine identification information such as a MAC address of an AP device and a service set identifier (eg, SSID, BSSID, etc.) in each of a plurality of pieces of second location information based on a radio signal. there is. In addition, the radio signal extractor 430 may extract the signal strength of the AP device such as RSSI from each of the plurality of second location information based on the radio signal.

According to an embodiment, the identification information matching unit 440 may match identification information to first location information based on second location information. For example, the identification information matching unit 440 may use at least one of a k-nearest neighbor (kNN), a support vector machine (SVM), a deep neural network (DNN), and a statistical method to obtain second location information and The associated identification information may be matched to the first location information, but is not limited thereto. Here, the second location information may include a coordinate set composed of a plurality of coordinate information. For example, the identification information matching unit 440 may determine a plurality of pieces of second location information having a signal strength greater than or equal to a predefined threshold as a set of pieces of coordinate information. An AP device associated with the first location information included in the set of coordinate information may be determined, and identification information associated with a plurality of sets of coordinate information (or a plurality of second location information) may be matched to the first location information. That is, when the first location information of the corresponding AP device is included in the plurality of second location information (or the set of a plurality of coordinate information) associated with the MAC address of the AP device, the identification information matching unit 440 determines the corresponding MAC address. It may be matched with the first location information. Through this, data obtained by matching the identification information (eg, MAC address) of the AP device to the first location information representing the exact location of the AP device can be obtained and used for a location-based service using the AP device.

The internal configuration of the processor 314 shown in FIG. 4 is only an example, and in some embodiments, other configurations other than the illustrated internal configuration may be additionally included, or some configurations may be omitted, and some processes may be configured with other configurations or external systems. can be performed by In addition, although the internal components of the processor 314 are separately described according to functions in FIG. 4 , this does not mean that the internal components are necessarily physically separated.

5 is a functional block diagram showing internal configurations of a processor 314 of a computing device and a processor 334 of an information processing system according to an embodiment of the present disclosure. As shown, the processor 314 of the computing device may include a first location information management unit 510, a second location information determination unit 520, a radio signal extraction unit 530, and an identification information matching unit 540. can Also, the processor 334 of the information processing system may include a first location information DB 550 . In FIG. 5 , the processor of the computing device and the processor of the information processing system are each illustrated as a single processor, but are not limited thereto and may include a plurality of processors.

According to an embodiment, the first location information management unit 510 in the processor 314 of the computing device may receive the first location information of the AP device from the first location information DB 550 of the information processing system. Here, the first location information may indicate a predetermined installation location of the AP device and may include coordinate information (eg, (X _i , Y _i , Z _i )) of the installation location. The first location information DB 550 may store first location information in a memory or database of an information processing system, or may process the stored first location information.

In this embodiment, although the first location information management unit 510 is shown as being included in the processor 314, it is not limited thereto, and the first location information management unit 510 is included in the processor 334 of the information processing system. may be In this case, the processor 334 of the information processing system may determine first location information based on information obtained through an external device to which a sensor such as a camera or a LiDAR sensor is connected, and convert the determined first location information to the computing device. processor 314.

According to another embodiment, the processor 314 of the computing device includes a second location information determination unit 520 and a radio signal extraction unit 530, and the processor 334 of the information processing system includes a first location information management unit ( 510), and an identification information matching unit 540. In this case, the processor 314 includes location information (eg, a plurality of second location information) of the computing device receiving the wireless signal and identification information and signal strength of the AP device extracted based on the wireless signal received through the computing device. Information on can be transmitted to the information processing system. Then, the processor 334 of the information processing system determines an AP device associated with the first location information corresponding to the plurality of second location information, and matches identification information associated with the plurality of second location information to the first location information. can do.

As described above through various embodiments, the first location information management unit 510, the second location information determination unit 520, the radio signal extraction unit 530, the identification information matching unit 540, the first location information DB 550 may be properly distributed and installed in each of the computing device and the information processing system according to the arrangement of computing resources of the entire system including the computing device and the information processing system.

6 illustrates an example of first location information of an AP device determined according to an embodiment of the present disclosure. According to an embodiment, the processor may receive first location information 610 of the AP device from an external device (or information processing system). Here, the first location information 610 may indicate an installation location of the AP device. For example, as shown, the first location information 610 of each of the plurality of AP devices 612_1, 612_2, and 612_3 is a virtual axis consisting of an X axis and a Y axis representing one floor of a facility in which the corresponding AP device is installed. It can be displayed on a two-dimensional plane. 6 shows that each of the plurality of AP devices is positioned on a two-dimensional plane composed of X and Y axes, but is not limited thereto, and a virtual three-dimensional space (eg, a building) is added by adding a Z axis. It may be indicated that each of a plurality of AP devices is located in a virtual space representing a plurality of floors).

In addition, the installation location of the AP device may be represented by a table including coordinate information 620 . For example, as shown, a location where the first AP device 612_1 is installed in a 3D space may be expressed by coordinates of (X ₁ , Y ₁ , Z ₁ ), and the second AP device 612_2 may indicate 3 The location installed in the dimensional space can be represented by coordinates of (X ₂ , Y ₂ , Z ₂ ). Similarly, the location where the third AP device 612_3 is installed in the 3D space can be indicated by coordinates of (X ₃ , Y ₃ , Z ₃ ).

According to an embodiment, the processor may acquire an image including the AP device using a camera connected to the computing device, and determine first location information 610 and 620 based on the acquired image. For example, the processor photographs the installed AP device using a camera, and then determines the location where the AP device is installed (ie, first location information) by using an object detection technique and a VSLAM method based on the captured image of the AP device. can decide According to another embodiment, the processor may determine the first location information 610 or 620 based on the acquired point cloud data using a LiDAR sensor connected to the computing device.

7 illustrates an example of second location information of a computing device determined according to an embodiment of the present disclosure. According to an embodiment, the processor may receive a radio signal of the AP device and determine a location of a computing device receiving the radio signal as a plurality of pieces of second location information. For example, the processor may determine a plurality of pieces of coordinate information (eg, (X _j , Y _j , Z _j )) in a 3D space associated with a location of a computing device receiving a radio signal as a plurality of pieces of second location information. there is. The plurality of pieces of second location information may include information about a set of pieces of coordinate information.

In addition, the processor may extract identification information and signal strength of the AP device from each of the plurality of second location information based on the radio signal. Here, the identification information may refer to a MAC address or service set identifier (SSID, BSSID) of the AP device. In general, the signal strength (eg, RSSI) of a radio signal transmitted from an AP device may be attenuated as the distance from the corresponding AP device increases. That is, the signal strength of the wireless signal of the AP device may indicate a larger value as the distance between the AP device and the computing device is shorter, and may indicate a smaller value as the distance between the AP device and the computing device is greater. For example, as shown, identification information (eg, MAC 1, MAC 2, MAC 3-1, MAC 3-2) of an AP device extracted from each of a plurality of second location information of a computing device receiving a wireless signal. The signal strengths 712_1, 712_2, and 712_3 associated with ) may be distributed on the 2D coordinate plane 710. According to an embodiment, the processor may determine a plurality of pieces of second location information having a signal strength equal to or greater than a predefined threshold as sets of location coordinates 714_1, 714_2, and 714_3.

FIG. 7 shows signal strengths 712_1, 712_2, and 712_3 of a plurality of AP devices and second location information (or a set of location coordinates) 714_1, 714_2, and 714_3 associated with the signal strengths of a plurality of AP devices on a two-dimensional coordinate plane 710. However, it is not limited thereto, and the second location information of the computing device may be represented by coordinate information 720 .

Also, a radio signal received from one AP device may include one or more pieces of identification information. As shown, the second location information associated with one or more MAC addresses (Mac i) set in one AP device (i) may be represented by coordinates of (X _ji , Y _ji , Z _ji ). For example, a wireless signal received from one AP device may include two MAC addresses (eg, Mac 3-1 and Mac 3-2), and the second location information associated therewith is (X _j3 , Y _j3 , Z _j3 ).

8 illustrates an example of first location information matched with identification information of an AP device according to an embodiment of the present disclosure. According to an embodiment, when the first location information of the AP device corresponds to a plurality of second location information (or a set of location coordinates) associated with identification information of the AP device, the processor determines the first location information of the corresponding AP device. Corresponding identification information may be matched. For example, the first location information in a location corresponding to a piece of second location information (eg, X _j1 , Y _j1 , Z _j1 ) associated with a first MAC address (eg, Mac 1) or a plurality of second location information (eg, X ₁ , Y ₁ , Z ₁ ), when the first AP device 812_1 exists, the processor determines the first location information of the first AP device 812_1 (eg, X ₁ , Y ₁ , Z 1 ). ₁ ) may be matched with the first MAC address (eg, Mac 1), which is identification information of the AP device. Similarly, the first location information ₍ eg _, X ₂ , Y _{2 ,} When the second AP device 812_2 having Z ₂ ) exists, the processor assigns the first location information (eg, X ₂ , Y ₂ , Z ₂ ) of the second AP device 812_2 to identification information of the AP device. The second MAC address (eg, Mac 2) may be matched. In addition, when the radio signal received from one AP device includes a plurality of pieces of identification information, a third MAC address and a fourth MAC address (eg, X _j3 , Y j3 , Z _j3 ) associated with the second location information (eg, X j3 , Y _j3 , Z j3 ) , Mac 3-1, Mac 3-2) may be matched to a third AP device 812_3 having first location information (eg, X ₃ , Y ₃ , Z ₃ ) corresponding to the second location information. .

8 shows that the identification information of the AP device is matched with the first location information of the plurality of AP devices on the virtual 2D coordinate plane 810, but is not limited thereto, and the identification information of the AP device is matched with the first location information of the AP device. 1 location information may be represented by coordinate information 820 .

According to an embodiment, when there are a plurality of AP devices having first location information corresponding to the second location information and one AP device cannot be specified, each of the first location information includes the second location information and the second location information. All identification information of a plurality of related AP devices may be matched. For _example , first location information (eg _, X _1-1 , Y _1-1 , Z _1-1 and _{X 1- 2} , Y _1-2 , Z _1-2 ), the processor determines first location information (eg, X _1-2 ) of the fourth and fifth AP devices. ₁ , Y _1-1 , Z _1-1 and X _1-2 , Y _1-2 , Z _1-2 ) may be matched with the fourth MAC address and the fifth MAC address, which are identification information of the AP device. That is, the fourth MAC address and the fifth MAC address are matched with the first location information (eg, X _1-1 , Y _1-1 , Z _1-1 ) of the fourth AP device, and the first location information of the fifth AP device is matched. Location information (eg, X _1-2 , Y _1-2 , Z _1-2 ) may also match the fourth MAC address and the fifth MAC address.

9 is a flowchart illustrating a method 900 of matching identification information to location information of an AP device according to an embodiment of the present disclosure. According to an embodiment, the method 900 of matching identification information to location information of an AP device may be performed by a processor (eg, a computing device or at least one processor of an information processing system). In another embodiment, the steps of the method 900 in which the information processing system and the computing device match the identification information to the location information of the AP device may be divided and performed.

In an embodiment, the method 900 of matching identification information to location information of an AP device may be initiated by receiving first location information of the AP device (S910). In one embodiment, the processor may receive the first location information of the AP device from an internal memory, a database system, or an information processing system.

The processor may receive a radio signal from the AP device (S920). After that, the processor may determine the location of the computing device receiving the radio signal as a plurality of pieces of second location information (S930). For example, the processor may determine the second location information using at least one of a LiDAR sensor connected to the computing device, a SLAM method, a Wifi Positioning System (WPS) method, or a GPS sensor attached to the computing device, but is not limited thereto. . Then, the processor may extract identification information and signal strength of the AP device from each of the plurality of second location information based on the radio signal (S940). Here, the identification information may include at least one of a MAC address, an SSID, or a BSSID, and the signal strength may include an RSSI measurement value of the AP device.

After that, the processor may match the identification information to the first location information based on the plurality of second location information (S950). For example, the processor may use at least one of a k-nearest neighbor (kNN), a support vector machine (SVM), a deep neural network (DNN), and a statistical method, based on the plurality of second location information Identification information may be matched with location information, but is not limited thereto. In one embodiment, the processor may determine a plurality of sets of second location information having a signal strength equal to or greater than a predefined threshold, and the first location information among one or more pieces of location information included in the plurality of sets of second location information is A corresponding AP device may be determined. And, the processor may match the identification information to the determined first location information of the AP device. In another embodiment, when one AP device corresponding to the first location information among one or more pieces of location information included in a plurality of sets of second location information cannot be determined, the processor determines the first location information of each of the plurality of AP devices. It is possible to match a plurality of identification information to.

10 is a flowchart illustrating a method 1000 of matching identification information to location information of an AP device according to another embodiment of the present disclosure. According to an embodiment, the method 1000 of matching identification information to location information of an AP device may be performed by a processor (eg, a computing device or at least one processor of an information processing system). In another embodiment, the steps of the method 1000 in which the information processing system and the computing device match the identification information to the location information of the AP device may be divided and performed.

In one embodiment, the method 1000 for matching identification information to location information of an AP device may be initiated by a processor obtaining information associated with the AP device (S1010). For example, the processor may obtain an image of the AP device using a camera connected to the computing device. In another example, the processor may obtain information about the location of the AP device using a LiDAR sensor coupled to the computing device.

Thereafter, the processor may determine first location information of the AP device based on the acquired information (S1020). For example, the processor may determine the first location information of the AP device using an object detection technique and a VSLAM method based on the acquired image. In another example, the processor may determine first location information of the AP device based on location information of the AP device acquired using the LiDAR sensor.

The processor may receive a radio signal from the AP device (S1030). Then, the processor may determine the location of the computing device receiving the radio signal as a plurality of second location information (S1040). For example, the processor may determine the second location information using at least one of a LiDAR sensor connected to the computing device, a SLAM method, a Wifi Positioning System (WPS) method, or a GPS sensor attached to the computing device, but is not limited thereto. . Then, the processor may extract identification information and signal strength of the AP device from each of the plurality of second location information based on the radio signal (S1050).

After that, the processor may match the identification information to the first location information based on the plurality of second location information (S1060). For example, the processor may use at least one of a k-nearest neighbor (kNN), a support vector machine (SVM), a deep neural network (DNN), and a statistical method, based on the plurality of second location information Identification information may be matched with location information, but is not limited thereto. In one embodiment, the processor may determine a plurality of sets of second location information having a signal strength equal to or greater than a predefined threshold, and the first location information among one or more pieces of location information included in the plurality of sets of second location information is A corresponding AP device may be determined. And, the processor may match the identification information to the determined first location information of the AP device. In another embodiment, when one AP device corresponding to the first location information among one or more pieces of location information included in a plurality of sets of second location information cannot be determined, the processor determines the first location information of each of the plurality of AP devices. It is possible to match a plurality of identification information to.

The above method may be provided as a computer program stored in a computer readable recording medium to be executed on a computer. The medium may continuously store programs executable by a computer or temporarily store them for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or combined hardware, but is not limited to a medium directly connected to a certain computer system, and may be distributed on a network. Examples of the medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, and ROM, RAM, flash memory, etc. configured to store program instructions. In addition, examples of other media include recording media or storage media managed by an app store that distributes applications, a site that supplies or distributes various other software, and a server.

The methods, acts or techniques of this disclosure may be implemented by various means. For example, these techniques may be implemented in hardware, firmware, software, or combinations thereof. Those skilled in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchange of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the particular application and design requirements imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementations should not be interpreted as causing a departure from the scope of the present disclosure.

In a hardware implementation, the processing units used to perform the techniques may include one or more ASICs, DSPs, digital signal processing devices (DSPDs), programmable logic devices (PLDs) ), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, electronic devices, and other electronic units designed to perform the functions described in this disclosure. , a computer, or a combination thereof.

Accordingly, the various illustrative logical blocks, modules, and circuits described in connection with this disclosure may be incorporated into a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or may be implemented or performed in any combination of those designed to perform the functions described in A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, eg, a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other configuration.

In firmware and/or software implementation, the techniques include random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), PROM ( on a computer readable medium, such as programmable read-only memory (EPROM), erasable programmable read-only memory (EPROM), electrically erasable PROM (EEPROM), flash memory, compact disc (CD), magnetic or optical data storage device, or the like. It can also be implemented as stored instructions. Instructions may be executable by one or more processors and may cause the processor(s) to perform certain aspects of the functionality described in this disclosure.

Although the embodiments described above have been described as utilizing aspects of the presently-disclosed subject matter in one or more stand-alone computer systems, the disclosure is not limited thereto and may be implemented in conjunction with any computing environment, such as a network or distributed computing environment. . Further, aspects of the subject matter in this disclosure may be implemented in a plurality of processing chips or devices, and storage may be similarly affected across multiple devices. These devices may include PCs, network servers, and portable devices.

Although the present disclosure has been described in relation to some embodiments in this specification, various modifications and changes may be made without departing from the scope of the present disclosure that can be understood by those skilled in the art. Moreover, such modifications and variations are intended to fall within the scope of the claims appended hereto.

110: user
120: computing device
130_1, 130_2, 130_3: AP device

Claims (17)

A method of matching identification information to location information of an access point (AP) device, executed by at least one processor of a computing device, comprising:
receiving first location information of the AP device;
Receiving a radio signal of the AP device;
determining a location of the computing device receiving the radio signal as a plurality of pieces of second location information;
extracting identification information and signal strength of an AP device from each of the plurality of second location pieces of information based on the radio signal; and
Matching the identification information to the first location information based on the plurality of second location information
A method of matching identification information to location information of an AP device, comprising: According to claim 1,
The matching of the identification information to the first location information based on the plurality of second location information includes determining a set of a plurality of second location information pieces of which the signal strength is greater than or equal to a predefined threshold value. , A method of matching identification information to location information of an AP device. According to claim 2,
The step of matching the identification information to the first location information based on the plurality of second location information,
determining the AP device to which the first location information corresponds among one or more pieces of location information included in the plurality of second location information sets; and
Matching the identification information to the determined first location information of the AP device.
A method of matching identification information to location information of an AP device, comprising: According to claim 1,
The matching of the identification information to the first location information based on the plurality of second location information may be performed using one of k-nearest neighbor (kNN), support vector machine (SVM), deep neural network (DNN), and statistical methods. A method of matching identification information to location information of an AP device, comprising matching the identification information to the first location information based on the plurality of second location information using at least one method. According to claim 1,
Receiving the first location information of the AP device includes:
obtaining an image including the AP device using a camera connected to the computing device; and
Determining the first location information using a Visual Simultaneous Localization and Mapping (VSLAM) method based on the acquired image
A method of matching identification information to location information of an AP device, comprising: According to claim 1,
The receiving of the first location information of the AP device includes determining the first location information based on information acquired using a light detection and ranging (LiDAR) sensor connected to the computing device. A method of matching identification information to location information of According to claim 1,
Wherein the identification information includes at least one of a Media Access Control Address (MAC) address, a service set identifier (SSID), or a basic service set identifier (BSSID). According to claim 1,
The step of determining a plurality of second location information of the computing device that has received the wireless signal may include a LiDAR sensor connected to the computing device, a VSLAM method, a Wifi Positioning System (WPS) method, or a GPS sensor attached to the computing device. A method of matching identification information to location information of an AP device, comprising determining the second location information using at least one. According to claim 1,
The AP device includes a plurality of AP devices,
The identification information includes a plurality of identification information extracted from radio signals of the plurality of AP devices,
The matching of the identification information to the first location information based on the second location information includes matching the plurality of identification information to each of the first location information of the plurality of AP devices. A method of matching identification information to location information of A method of matching identification information to location information of an AP device, executed by at least one processor of a computing device, comprising:
obtaining information associated with the AP device;
determining first location information of the AP device based on the acquired information;
Receiving a radio signal of the AP device;
determining a location of the computing device receiving the radio signal as a plurality of pieces of second location information;
extracting identification information and signal strength of an AP device from each of the plurality of second location pieces of information based on the radio signal; and
Matching the identification information to the first location information based on the plurality of second location information
A method of matching identification information to location information of an AP device, comprising: According to claim 10,
The obtaining of information associated with the AP device includes acquiring an image of the AP device using a camera connected to the computing device;
The determining of the first location information of the AP device based on the acquired information includes determining the first location information based on the acquired image using a VSLAM method. How to match identification information to information. According to claim 10,
The method of matching identification information to location information of an AP device, wherein the acquiring of the information associated with the AP device includes acquiring information about the location of the AP device using a LiDAR sensor connected to the computing device. . According to claim 10,
Determining the location of the computing device receiving the wireless signal as a plurality of second location information may include a LiDAR sensor connected to the computing device, a VSLAM method, a Wifi Positioning System (WPS) method, or a GPS attached to the computing device. A method of matching identification information to location information of an AP device, comprising determining the second location information using at least one of sensors. A computer program stored in a computer readable recording medium to execute a method of matching identification information to location information of an AP device according to any one of claims 1 to 13 in a computer. As a location estimation device for an AP device,
communication module;
Memory; and
at least one processor connected to the memory and configured to execute at least one computer readable program contained in the memory
including,
The at least one program,
obtaining first location information of the AP device;
Receiving a radio signal of the AP device;
determining a location of the device receiving the radio signal with a plurality of second location information;
Extracting identification information and signal strength of an AP device in each of the plurality of second location information based on the radio signal;
and instructions for matching the identification information to the first location information based on the plurality of second location information. According to claim 15,
Including more cameras,
The first location information includes location information of the AP device determined based on an image of the AP device captured using the camera. According to claim 15,
Further comprising a LIDAR sensor,
The first location information includes location information of the AP device determined based on information acquired using the LIDAR sensor.

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