WO2023163354A1 - Dispositif électronique de véhicule et procédé de fonctionnement associé - Google Patents

Dispositif électronique de véhicule et procédé de fonctionnement associé Download PDF

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Publication number
WO2023163354A1
WO2023163354A1 PCT/KR2022/021403 KR2022021403W WO2023163354A1 WO 2023163354 A1 WO2023163354 A1 WO 2023163354A1 KR 2022021403 W KR2022021403 W KR 2022021403W WO 2023163354 A1 WO2023163354 A1 WO 2023163354A1
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WIPO (PCT)
Prior art keywords
obstacle
electronic device
information
vehicle
vehicular electronic
Prior art date
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PCT/KR2022/021403
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English (en)
Korean (ko)
Inventor
이재웅
남윤구
이웅
이유선
장창원
주승범
한기승
Original Assignee
삼성전자 주식회사
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Publication date
Priority claimed from KR1020220050076A external-priority patent/KR20230127818A/ko
Application filed by 삼성전자 주식회사 filed Critical 삼성전자 주식회사
Publication of WO2023163354A1 publication Critical patent/WO2023163354A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01Q—ANTENNAS, i.e. RADIO AERIALS
    • H01Q1/00—Details of, or arrangements associated with, antennas
    • H01Q1/27—Adaptation for use in or on movable bodies
    • H01Q1/32—Adaptation for use in or on road or rail vehicles
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01Q—ANTENNAS, i.e. RADIO AERIALS
    • H01Q3/00—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system
    • H01Q3/26—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • H04B1/3822—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving specially adapted for use in vehicles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information

Definitions

  • Various embodiments may provide an in-vehicle electronic device that communicates with an external device by controlling an antenna module based on location information of an obstacle and an operating method thereof.
  • 5G mobile communication With the advent of 5G mobile communication, various mobile communication services have increased dramatically. There is a limit to providing various mobile communication services only by increasing the efficiency of using the existing sub-6GHz band and increasing the capacity.
  • 5G requirements include high data rates (eMMB), very low latency (URLLC), the ability to handle a large number of devices (eMTC), ultra-high reliability and energy efficiency.
  • eMMB high data rates
  • URLLC very low latency
  • eMTC ultra-high reliability and energy efficiency.
  • 5G RAN Radio access network
  • a millimeter wave frequency band is used as a way to additionally secure a radio frequency band.
  • the currently commercialized and used millimeter wave frequency band is 28 GHz to 100 GHz, and there is a continuous wide bandwidth that can be used compared to the existing band below 6 GHz. Therefore, the mmWave frequency band can be easily applied to various wireless access technologies suitable for service requirements.
  • a signal is transmitted in the form of a beam in the mmWave frequency band, a service area is narrowed due to a short radio wave reach, and radio interference/blocking may occur due to obstacles.
  • a communication method capable of satisfying requirements such as support for mobility and reliable data transmission in a millimeter wave frequency band.
  • an electronic device for a vehicle may be provided.
  • the vehicular electronic device may include a sensor module that collects surrounding environment information of a vehicle equipped with the vehicular electronic device; a communication module including an antenna module and communicating with an external device; a memory that stores one or more instructions; and a processor executing the one or more instructions stored in the memory.
  • the processor may obtain location information of obstacles present around the vehicle based on the surrounding environment information.
  • the processor may obtain antenna control information based on the location information of the obstacle.
  • the processor may perform communication with the external device by controlling the antenna module based on the antenna control information.
  • 1 is a diagram for explaining beam monitoring and beam selection operations of an electronic device.
  • FIG. 2A is a diagram for explaining a method of operating an antenna module according to an exemplary embodiment.
  • 2B is a diagram illustrating an antenna array.
  • FIG. 3 is a block diagram illustrating a configuration of an electronic device for a vehicle according to an exemplary embodiment.
  • FIG. 4 is a flowchart of a method of operating the vehicular electronic device 10 according to an exemplary embodiment.
  • FIG. 5 is a diagram for explaining location information of an obstacle according to an exemplary embodiment.
  • FIG. 6 is a diagram for explaining a code book according to an embodiment.
  • FIG. 7 is a diagram for explaining a relationship between a code book and positional information of an obstacle based on 3D coordinate codes according to an exemplary embodiment.
  • FIG. 8 is a diagram for explaining location information of an obstacle based on 3D coordinate codes according to an exemplary embodiment.
  • FIG. 9 is a diagram for explaining a method of obtaining control information for an antenna based on position information of an obstacle according to an exemplary embodiment.
  • FIG. 10 is a diagram for explaining a method of generating position information of an obstacle based on a sub-region according to an exemplary embodiment.
  • 11A, 11B, and 11C are diagrams for explaining an operation of controlling an antenna module based on antenna control information by an electronic device for a vehicle according to an exemplary embodiment.
  • FIG. 12 is a diagram illustrating a display according to an exemplary embodiment.
  • 13 is a diagram for explaining an operation performed using artificial intelligence technology in the disclosed embodiment.
  • FIG. 14 is a diagram illustrating an electronic device according to an exemplary embodiment that operates in association with a server.
  • FIG. 15 is a diagram for explaining FIG. 14 in detail.
  • an electronic device for a vehicle may be provided.
  • the vehicular electronic device may include a sensor module that collects surrounding environment information of a vehicle equipped with the vehicular electronic device; a communication module including an antenna module and communicating with an external device; a memory that stores one or more instructions; and a processor executing the one or more instructions stored in the memory.
  • the processor may obtain location information of obstacles present around the vehicle based on the surrounding environment information.
  • the processor may obtain antenna control information based on the location information of the obstacle.
  • the processor may perform communication with the external device by controlling the antenna module based on the antenna control information.
  • a method for operating a vehicle electronic device may be provided.
  • the method may include obtaining positional information of obstacles present around the vehicle based on surrounding environment information collected from a sensor module of the vehicle in which the vehicle electronic device is mounted.
  • the method may include acquiring antenna control information based on the location information of the obstacle.
  • the method may include performing communication with an external device by controlling an antenna module based on the antenna control information.
  • the expression “at least one of a, b, or c” means “a”, “b”, “c”, “a and b”, “a and c”, “b and c”, “a, b” and c”, or variations thereof.
  • 1 is a diagram for explaining beam monitoring and beam selection operations of an electronic device.
  • the currently commercialized and used millimeter wave (mmWave) frequency band is 28 GHz to 100 GHz, and there is a continuous wide bandwidth that can be used compared to the existing band below 6 GHz. Therefore, it may be easy to apply various radio access technologies suitable for service requirements.
  • the signal is transmitted in the form of a beam 130 as shown in FIG. 1 , the propagation distance of the signal is shortened according to the characteristics of the beam, and a narrow service area can be provided.
  • a radio wave interference/blocking phenomenon may occur due to obstacles.
  • a base station (BS) 110 and a user equipment (UE) 100 form a narrow beam configured through beam adjustment (130) is used.
  • the biggest challenge for using the narrow beam 130 is establishing and maintaining a communication link between the base station 110 and the user terminal 120 .
  • the base station 110 and the user terminal 100 In order to establish and maintain a communication link, the base station 110 and the user terminal 100 must continuously select the best beams 140 and 150. For example, in order to select an optimal beam, the base station 130 and the user terminal 100 (eg, a terminal mounted in a vehicle) must periodically perform beam monitoring and searching operations. In this case, problems of heat generation and power loss may occur due to periodic beam monitoring and searching operations.
  • FIG. 2(a) is a diagram for explaining a method of operating an antenna module according to an exemplary embodiment.
  • FIG. 2( a ) shows a vehicle 200 equipped with an antenna module 210 .
  • the vehicle 200 may perform communication while driving using a communication module included in the vehicle.
  • the vehicle 200 may transmit/receive data with a base station using a communication module.
  • the antenna module 210 included in the communication module may be disposed outside the vehicle 200 .
  • the antenna module 210 may refer to an antenna supporting communication based on millimeter waves for vehicles.
  • a mmWAVE antenna may be configured with an array antenna structure in which a plurality of antennas are arranged.
  • the antenna array 215 has a strong directivity of maximum radiation in a particular direction.
  • the antenna module 210 may change the direction of the main beam of the antenna to a desired direction by using the phase difference of each antenna included in the antenna array 215 .
  • Millimeter wave (mmWAVE) communication overcomes signal propagation problems such as path loss and non-line-of-sight (NLOS) between the base station and the vehicle electronic device 10 by using beamforming technology, and the base station and the vehicle electronic device 10 Establish and maintain communication links between
  • NLOS non-line-of-sight
  • the position and traveling direction of the vehicle 200 may be changed at high speed.
  • the optimal beam direction between the base station and the vehicular electronic device 10 may be changed at any time. Therefore, the on-vehicle electronic device 10 installed in the vehicle is required to perform more effective and rapid beam management.
  • the vehicular electronic device 10 in order to maintain an established communication link with another electronic device (eg, another vehicular electronic device or a base station), the vehicular electronic device 10 recognizes an obstacle 230 around the vehicle 200.
  • a method may be provided.
  • a method of efficiently performing beam management by allowing the vehicular electronic device 10 to preferentially perform beam monitoring and beam searching in a direction in which there are no obstacles 230 may be provided.
  • An obstacle 230 may refer to an object obstructing a communication link formed between the vehicle 200 and another electronic device or a base station.
  • the obstacle 230 may include an outer wall of a building around the vehicle 200, a surrounding vehicle, or an outer wall of a tunnel when entering a tunnel.
  • it is not limited to the above example.
  • external devices may include other electronic devices, other vehicle electronic devices, base stations, terminals, user terminals, and the like, and are not limited to the above examples.
  • the electronic device 10 for a vehicle obtains positional information of an obstacle existing around the vehicle based on surrounding environment information, and obtains antenna control information based on the positional information of the obstacle.
  • Embodiments in which communication with an external device is performed by acquiring and controlling an antenna module based on antenna control information will be described in detail.
  • FIG. 3 is a block diagram illustrating a configuration of an electronic device for a vehicle according to an exemplary embodiment.
  • the vehicle electronic device 10 may include a communication module 310 , a sensor module 320 , a processor 330 and a memory 340 .
  • the sensor module 320 may collect surrounding environment information of a vehicle in which the vehicle electronic device 10 is mounted.
  • the sensor module 320 may include various sensor devices such as a camera, lidar, and radar.
  • the sensor module 320 may monitor the surrounding environment of the vehicle 200 and may measure positions and distances of obstacles in all directions with respect to the vehicle 200 .
  • the sensor module 320 may sense the surrounding environment by emitting a laser pulse, receiving the reflected light from a surrounding target object and measuring a distance to the object, and the like.
  • the sensor module 320 may emit electromagnetic waves (eg, microwaves) to an object and receive electromagnetic waves reflected from the object to identify the distance, direction, altitude, and the like to the object.
  • electromagnetic waves eg, microwaves
  • the communication module 310 may include a mobile communication module, and may transmit/receive data with an external device (eg, a base station) through a mobile communication method.
  • the mobile communication method may include a 5G communication method based on a mmWave band, a 5G communication method based on a band (sub-6 band) below 6 Ghz, a 4G communication method, or a 3G communication method. However, it is not limited thereto.
  • the communication module 310 may include an antenna module 315, and a beam for a mobile communication method may be generated in the antenna module 315, and the antenna module 315 may include a direction in which a beam travels or a beam Beamforming for adjusting the shape or the like may be performed.
  • the antenna module 315 may include a circuit and an antenna array for millimeter wave communication.
  • the communication module 310 may adjust the direction of the antenna main lobe by adjusting each phase of the antenna array of the antenna module 315 based on the code book. A more detailed description of the code book will be described later with reference to FIG. 6 .
  • the processor 330 may control overall operations of the vehicular electronic device 10 .
  • the processor 330 may execute one or more programs stored in the memory 340 .
  • the memory 340 may store various data, programs, or applications for driving and controlling the electronic device 10 for a vehicle.
  • the processor 330 may be composed of hardware components that perform arithmetic, logic and input/output operations and signal processing.
  • the processor 330 may include, for example, a central processing unit, a microprocessor, a graphic processing unit, application specific integrated circuits (ASICs), digital signal processors (DSPs), and digital signal processors (DSPDs). Signal Processing Devices), PLDs (Programmable Logic Devices), and FPGAs (Field Programmable Gate Arrays).
  • the memory 340 may be, for example, a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (eg SD or XD memory). etc.), ROM (ROM, Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), and RAM (Random Access Memory) and non-volatile memory including at least one ) or volatile memory such as SRAM (Static Random Access Memory).
  • Instructions, data structures, and program codes readable by the processor 430 may be stored in the memory 340 .
  • the processor 430 may be implemented by executing instructions or codes of a program stored in the memory 440 .
  • the vehicular electronic device 10 may further include a module (not shown) capable of measuring the location of the vehicular electronic device 10 .
  • the module capable of measuring the location of the vehicular electronic device 10 may include a location information device such as a Global Positioning System (GPS).
  • GPS Global Positioning System
  • the vehicle electronic device 10 may further include a display (not shown).
  • the display may display obstacle position information or antenna control information.
  • the processor 330 may obtain positional information of obstacles present around the vehicle 200 based on surrounding environment information.
  • the processor 330 may obtain antenna control information based on the location information of the obstacle.
  • the processor 330 may perform communication with an external device by controlling the antenna module 315 based on the antenna control information.
  • the processor 330 may identify at least one first area free of obstacles and at least one second area including obstacles, based on surrounding environment information.
  • the processor 330 may generate obstacle position information based on the 3D coordinate code corresponding to at least one second region.
  • the processor 330 may generate information about at least one 3D coordinate code corresponding to the obstacle, or the obstacle and the electronic device 10 based on at least one of a size reference value and a distance reference value of the obstacle. At least one of the distance information of may be identified.
  • the processor 330 may identify whether the size of the obstacle is equal to or greater than a size reference value of the obstacle. When the size of the obstacle is equal to or greater than the size reference value of the obstacle, the processor 330 receives at least one of information on at least one 3D coordinate code corresponding to the obstacle or distance information between the obstacle and the vehicular electronic device 10. can be identified.
  • the processor 330 may identify whether the distance between the obstacle and the vehicular electronic device 10 is equal to or smaller than the distance reference value. When the distance between the obstacle and the vehicular electronic device 10 is equal to or smaller than the distance reference value, the processor 330 receives at least one of information on at least one 3D coordinate code corresponding to the obstacle or information on a distance to the obstacle. can be identified.
  • the processor 330 may obtain location information of the vehicle 200 (eg, the in-vehicle electronic device 10). The processor 330 may identify location information of an obstacle based on location information of the vehicle 200 .
  • the processor 330 may identify at least one 3D coordinate code corresponding to the first area not including the obstacle, based on the location information of the obstacle.
  • the processor 330 may identify at least one beam code corresponding to at least one 3D coordinate code based on the codebook.
  • the processor 330 may generate antenna control information based on at least one beam code.
  • the processor 330 may control the antenna module 315 to communicate with another electronic device using at least one beam code.
  • the processor 330 may identify an area surrounding the vehicular electronic device as at least one sub-region.
  • the processor 330 may identify at least one sub-region including an obstacle based on surrounding environment information.
  • the processor 330 may generate obstacle position information based on the 3D coordinate code corresponding to the sub-region.
  • the processor 330 may analyze information collected by the sensor module 320 .
  • the processor 330 may generate obstacle position information by dividing a space with an obstacle and an open space around the vehicle.
  • the processor 330 may transmit positional information of the generated obstacle to the communication module 310 .
  • the block diagram of the vehicular electronic device 10 shown in FIG. 3 is a block diagram for one embodiment.
  • Each component of the block diagram may be integrated, added, or omitted according to specifications of the electronic device 10 that is actually implemented. That is, if necessary, two or more components may be combined into one component, or one component may be subdivided into two or more components.
  • the functions performed in each block are for explaining the embodiments, and the specific operation or device does not limit the scope of the present disclosure.
  • FIG. 4 is a flowchart of a method of operating the vehicular electronic device 10 according to an exemplary embodiment.
  • the vehicular electronic device 10 may obtain positional information of obstacles present around the vehicle based on surrounding environment information collected from a sensor module of the vehicle in which the vehicular electronic device 10 is mounted.
  • the vehicle electronic device 10 is Based on the surrounding environment information, at least one first area free of obstacles and at least one second area including obstacles may be identified.
  • the vehicle electronic device 10 is Based on the 3D coordinate code corresponding to at least one second area, the location information of the obstacle may be generated.
  • the location information of the obstacle may include at least one of information on at least one 3D coordinate code corresponding to the obstacle or distance information between the obstacle and the vehicular electronic device 10 .
  • the vehicular electronic device 10 provides information on at least one 3D coordinate code corresponding to an obstacle, or the obstacle and the vehicular electronic device, based on at least one of a size reference value and a distance reference value of the obstacle. At least one of the distance information of the device may be identified.
  • the vehicular electronic device 10 may identify whether the size of the obstacle is equal to or greater than a size reference value of the obstacle. When the size of the obstacle is equal to or greater than the size reference value of the obstacle, the on-vehicle electronic device 10 selects information on at least one 3D coordinate code corresponding to the obstacle or distance information between the obstacle and the on-vehicle electronic device 10 At least one can be identified.
  • the vehicular electronic device 10 may identify whether a distance between an obstacle and the vehicular electronic device 10 is equal to or smaller than a distance reference value. When the distance between the obstacle and the vehicular electronic device 10 is equal to or smaller than the distance reference value, the vehicular electronic device 10 receives at least one of information on at least one 3D coordinate code corresponding to the obstacle or distance information to the obstacle. one can be identified.
  • the vehicular electronic device 10 may obtain vehicle location information.
  • the vehicular electronic device 10 may identify location information of an obstacle based on vehicle location information.
  • the vehicular electronic device 10 may identify an area around the vehicular electronic device 10 as at least one sub-region based on the location of the vehicular electronic device 10 .
  • the vehicular electronic device 10 may identify at least one sub-region including an obstacle based on surrounding environment information.
  • the vehicular electronic device 10 may generate position information of an obstacle based on a 3D coordinate code corresponding to a sub-region.
  • the vehicular electronic device 10 may obtain antenna control information based on the location information of the obstacle.
  • the vehicular electronic device 10 may identify at least one 3D coordinate code corresponding to a first area not including an obstacle, based on the location information of the obstacle.
  • the vehicular electronic device 10 may identify at least one beam code corresponding to at least one 3D coordinate code based on the codebook.
  • the vehicular electronic device 10 may generate antenna control information based on at least one beam code.
  • the vehicular electronic device 10 may perform communication with an external device by controlling the antenna module based on the antenna control information.
  • the vehicle electronic device 10 may control the antenna module to communicate with an external device using at least one beam code.
  • FIG. 5 is a diagram for explaining location information of an obstacle according to an exemplary embodiment.
  • FIG. 5 shows a 3D coordinate plane including 19 x 19 3D coordinate codes based on the x-axis and the y-axis.
  • the z-axis is omitted for convenience of explanation.
  • the surrounding space of the vehicular electronic device 10 may be subdivided and expressed.
  • One basic unit composed of the basic unit of the x-axis, the basic unit of the y-axis, and the basic unit of the z-axis on the 3D coordinate plane may be defined as a 3D coordinate code 510.
  • the positional information of the obstacle may include at least one of existence of an obstacle corresponding to the 3D coordinate code 510 or information about a distance to the obstacle.
  • the electronic device 10 for a vehicle may recognize only obstacles equal to or greater than a predetermined standard by determining standards such as the size and distance of the obstacle. In the case of an obstacle below a certain standard, the vehicular electronic device 10 may identify that there is no obstacle.
  • the basic unit of the x-axis, the basic unit of the y-axis, and the basic unit of the z-axis may be preset.
  • the basic unit of the axis may be 1 km, and is not limited to the above example.
  • the basic unit of the x-axis, the basic unit of the y-axis, and the basic unit of the z-axis can be set to different values for the x-axis, y-axis, and z-axis.
  • Position information of an obstacle may include information on at least one 3D coordinate code corresponding to the obstacle.
  • at least one 2-1 area 520 including an obstacle may correspond to the 2-1 3D coordinate code
  • the 2-2 3D coordinate code may correspond to the 2-2 3D coordinate code.
  • the 2-1st 3D coordinate codes may include 32 3D coordinate codes corresponding to the 2-1st area 520, and for non-limiting examples, (4, 7, z), (7, 14 , z), (4, 14, z), (7, 7, z), and the like.
  • the position information of the obstacle may include information on the 2-1st 3D coordinate code and the 2-2nd 3D coordinate code.
  • at least one 1-1 area 530 not including an obstacle may correspond to the 1-1 3D coordinate code
  • the 1-2 3D coordinate code 535 may correspond to the 1-2 3D coordinate code.
  • the location information of the obstacle may include at least one of distance information between the obstacle and the vehicular electronic device 10 .
  • the distance between the obstacle corresponding to the 2-1 area 520 and the vehicular electronic device 10 may be 10 km.
  • the location information of the obstacle may include information indicating 10 km.
  • the location information of an obstacle may include information indicating whether an obstacle corresponding to a 3D coordinate code exists.
  • Each coordinate code 510 of the position information of an obstacle may be 1:1 mapped to each beam code 610 of a codebook described later in FIG. 6 .
  • FIG. 6 is a diagram for explaining a code book according to an embodiment.
  • the coordinate plane of FIG. 6 may mean a plane representing information included in a codebook.
  • a codebook may mean information including data related to characteristics of a beam according to a phase of each antenna included in an antenna array. Data related to beam characteristics may be coded. Also, the codebook may be pre-stored in a vehicle electronic device (eg, the communication module 310). For example, through a preliminary simulation, the communication module 310 may retain information such as the direction of the main beam of the antenna corresponding to each beam code 610 as shown in FIG. 6 and transmission power. . As a non-limiting example, the codebook may include the direction of the main beam corresponding to the phase of each antenna, the angle of the antenna array, transmit power, and antenna index information. For example, referring to FIG. 6 , the transmit power value of the first beam code 610 may be 21.6 dBm, but is not limited thereto.
  • the basic unit of the x-axis, the basic unit of the y-axis, and the basic unit of the z-axis may be preset.
  • the basic unit of the axis may be 1 km, and is not limited to the above example.
  • the basic unit of the x-axis, the basic unit of the y-axis, and the basic unit of the z-axis can be set to different values for the x-axis, y-axis, and z-axis.
  • the codebook may be stored in the form of data such as a table or a lookup table.
  • FIG. 7 is a diagram for explaining a relationship between a code book and positional information of an obstacle based on 3D coordinate codes according to an exemplary embodiment.
  • a beam code 740 which is a basic unit of a coordinate plane 730 representing information included in a codebook
  • a 3D coordinate code 720 which is a basic unit of a 3D coordinate plane 710 representing positional information of an obstacle relationship between them can be ascertained.
  • the 3D coordinate code 720 and the beam code 740 may be mapped one-to-one. That is, the 3D coordinate code 720 and the beam code 740 may be directed in the same direction.
  • FIG. 8 is a diagram for explaining location information of an obstacle based on 3D coordinate codes according to an exemplary embodiment.
  • the vehicular electronic device 10 may obtain positional information of an obstacle 820 present around the vehicle based on surrounding environment information collected from the sensor module 320 . Referring to FIG. 8 , the on-vehicle electronic device 10 determines whether an obstacle 820 exists around, if present, where the obstacle 820 is located on a 3D coordinate plane, or whether the obstacle 820 is an on-vehicle electronic device ( 10), etc.
  • the vehicular electronic device 10 may identify at least one 3D coordinate code corresponding to the obstacle 820 .
  • the at least one 3D coordinate code may include coordinate code values corresponding to a cube.
  • values of the coordinate code corresponding to the cube may include values satisfying x values between x1 and x2, y values between y1 and y2, and z values between z1 and z2.
  • FIG. 9 is a diagram for explaining a method of obtaining control information for an antenna based on position information of an obstacle according to an exemplary embodiment.
  • positional information of an obstacle shown on the basis of a 3D coordinate plane 910 includes at least one first area 925 without an obstacle and at least one second area 920 with an obstacle.
  • the first region 925 may correspond to at least one first 3D coordinate code.
  • the second area 920 may correspond to at least one second 3D coordinate code.
  • the codebook shown based on the coordinate plane 930 includes at least one first beam code 945 corresponding to the first area 925 and at least one corresponding to the second area 920 including the obstacle.
  • a second beam code 940 may be included.
  • the vehicular electronic device 10 may determine whether or not there is an obstacle in the direction of each beam code of the codebook based on position information of the obstacle.
  • the vehicular electronic device 10 may obtain antenna control information based on location information of an obstacle. For example, the vehicular electronic device 10 may identify at least one first 3D coordinate code corresponding to the first area 925 not including the obstacle, based on the location information of the obstacle. The vehicular electronic device 10 may identify at least one first beam code 945 corresponding to at least one first 3D coordinate code based on the codebook.
  • the vehicular electronic device 10 may identify at least one second beam code 940 corresponding to at least one second 3D coordinate code based on the codebook. Since an obstacle exists in the second area 920 , the vehicular electronic device 10 may predict that an object obstructing the previously set communication link exists in the corresponding second area 920 . Accordingly, the vehicular electronic device 10 may determine not to perform an operation such as beam monitoring or beam searching using at least one second beam code 940 .
  • the vehicular electronic device 10 may generate antenna control information based on at least one first beam code 945 .
  • the vehicular electronic device 10 may identify an antenna index corresponding to at least one first beam code 945, and the antenna control information may include an antenna corresponding to at least one first beam code 945. index, etc.
  • the antenna control information may include information identified based on the location information and codebook of the obstacle, and may include, for example, the direction of the main beam, the angle of the antenna array, transmit power, and antenna index information.
  • the vehicle electronic device 10 may control the antenna module to communicate with an external device using at least one first beam code 945 .
  • the vehicular electronic device 10 may operate antennas capable of performing communication using at least one first beam code 945 .
  • the vehicular electronic device 10 may perform operations such as transmission/reception of data, control information, or signals, beam monitoring, or beam searching by using at least one first beam code 945 .
  • FIG. 10 is a diagram for explaining a method of generating position information of an obstacle based on a sub-region according to an exemplary embodiment.
  • the vehicular electronic device 10 may classify an area around the vehicular electronic device 10 into at least one sub-region based on the location of the vehicular electronic device 10 .
  • the peripheral area of the vehicular electronic device 10 may be subdivided on a 3D coordinate plane.
  • the peripheral area of the vehicle electronic device may be divided into sub areas such as a front area 1020, a rear area 1040, a left area 1030, a right area 1010, and an upper area (not shown) of the vehicle.
  • the vehicular electronic device 10 may identify at least one first sub-region including an obstacle based on surrounding environment information.
  • the vehicular electronic device 10 may generate position information of an obstacle based on the 3D coordinate code corresponding to the first sub-region. For example, when an obstacle exists in some area of the front area 1020 of the vehicle, the vehicular electronic device 10 may identify that the obstacle exists in the front area 1020 of the vehicle.
  • the positional information of the obstacle is information on at least one 3D coordinate code corresponding to the front area 1020 of the vehicle, distance information between the obstacle and the on-vehicle electronic device, or whether the obstacle is present in the front area 1020 of the vehicle. It may include information about whether it exists or not.
  • the location information of an obstacle may include information on whether an obstacle exists in each of at least one sub-region.
  • the positional information of the obstacle depends on whether an obstacle is present in each of the front area 1020, the rear area 1040, the left area 1030, the right room area 1010, and the upper area (not shown) of the vehicle. information may be included.
  • 11(a), 11(b), and 11(c) are diagrams for explaining an operation in which an electronic device for a vehicle controls an antenna module based on antenna control information according to an exemplary embodiment.
  • the sensor module 320 included in the vehicle electronic device 10 may monitor obstacles 1110, 1130, and 1150 around the vehicle in real time. there is.
  • the sensor module 320 may transmit the collected surrounding environment information to the processor 330 included in the vehicular electronic device 10 .
  • the processor 330 included in the vehicular electronic device 10 may generate obstacle position information in real time based on surrounding environment information.
  • the vehicular electronic device 10 may identify at least one beam code corresponding to spatial coordinates without an obstacle based on the codebook and the location information of the obstacle.
  • the vehicular electronic device 10 may preferentially perform beam monitoring and beam searching using at least one beam code corresponding to spatial coordinates free of obstacles.
  • the vehicular electronic device 10 may preferentially process only beam code data for a space with a high possibility of communication connection with the base station. Accordingly, the vehicular electronic device 10 can effectively perform beam monitoring and beam searching, and efficiently perform beam management.
  • FIG. 11( a ) illustrates a beam sweeping operation performed by the vehicular electronic device 10 when an obstacle 1110 exists in a left area of the vehicle 200 .
  • the vehicular electronic device 10 may identify that there is an obstacle 1110 in the left area of the vehicle 200 based on surrounding environment information.
  • the vehicular electronic device 10 may obtain antenna control information based on the location information of the obstacle.
  • the vehicular electronic device 10 controls the antenna module based on the antenna control information, so that the first area 1120 (eg, the first area 1120 is the front area or rear area of the vehicle 200) where no obstacles are included. area, right area, and upper area), beam monitoring or beam searching may be performed, and communication with an external device may be performed.
  • FIG. 11( b ) illustrates a beam sweeping operation performed by the vehicular electronic device 10 when an obstacle 1130 exists in the front and left areas of the vehicle 200 .
  • the vehicular electronic device 10 may identify that there is an obstacle 1130 in the front and left areas of the vehicle 200 based on the surrounding environment information.
  • the vehicular electronic device 10 may obtain antenna control information based on the location information of the obstacle.
  • the vehicular electronic device 10 controls the antenna module based on the antenna control information, so that the first area 1140 (for example, the first area 1140 is the rear area of the vehicle 200, the right side) where no obstacle is included. area and an upper area), beam monitoring or beam searching may be performed, and communication may be performed with an external device.
  • FIG. 11(c) illustrates a beam sweeping operation performed by the vehicular electronic device 10 when an obstacle 1150 exists in the front, right, and left areas of the vehicle 200.
  • the vehicular electronic device 10 may identify that there are obstacles 1150 in front, right, and left areas of the vehicle 200 based on surrounding environment information.
  • the vehicular electronic device 10 may obtain antenna control information based on the location information of the obstacle.
  • the vehicular electronic device 10 controls the antenna module based on the antenna control information to monitor the beam for the first area 1160 (eg, the rear area and the upper area of the vehicle 200) where no obstacle is included, Alternatively, operations such as beam searching may be performed, and communication with an external device may be performed.
  • FIG. 12 is a diagram illustrating a display according to an exemplary embodiment.
  • the vehicular electronic device 10 may display positional information of an obstacle on a display mounted in a vehicle.
  • the display may display the 2-1 area 1210 and the 2-2 area 1220 corresponding to the obstacle.
  • the display may display obstacle position information or antenna control information on the area 1230 of the display.
  • At least one of the operations performed by the processor 330 may be performed using Artificial Intelligence (AI) technology. At least one operation performed using artificial intelligence (AI) technology will be described in detail with reference to FIGS. 13 to 15 below.
  • AI Artificial Intelligence
  • 13 is a diagram for explaining an operation performed using artificial intelligence technology in the disclosed embodiment.
  • the operation performed by the processor 330 i) obtaining location information of an obstacle existing around the vehicle based on the surrounding environment information, ii) antenna control information based on the location information of the obstacle At least one of the obtaining operation or iii) performing communication with the external device by controlling the antenna module based on the antenna control information is an artificial operation performing an operation through a neural network. It can be performed using AI (Artificial Intelligence) technology.
  • AI Artificial Intelligence
  • 'AI technology' Artificial intelligence technology is a technology that obtains a desired result by performing calculations through a neural network and processing input data such as analysis and/or classification.
  • an algorithm or a set of algorithms for implementing AI technology is called a neural network.
  • the neural network may receive input data, perform the above-described calculation for analysis and/or classification, and output result data. In this way, in order for the neural network to accurately output result data corresponding to the input data, it is necessary to train the neural network.
  • 'training' refers to inputting various data into the neural network, analyzing the input data, classifying the input data, and/or extracting features necessary for generating result data from the input data. It may mean training a neural network so that the neural network can discover or learn a method by itself.
  • the neural network may train learning data (eg, a plurality of different images) to optimize and set weight values inside the neural network. And, by self-learning the input data through a neural network having an optimized weight value, a desired result is output.
  • learning data eg, a plurality of different images
  • a neural network is classified as a deep neural network when the number of hidden layers, which are internal layers that perform operations, is plural, that is, when the depth of the neural network that performs operations increases.
  • neural networks include Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Bidirectional Recurrent Deep Neural Network (BRDNN), and Deep Neural Network (BRDNN).
  • Q-networks (Deep Q-Networks), etc., are not limited to the above examples.
  • neural networks can be subdivided.
  • a CNN neural network may be subdivided into a Deep Convolution Neural Network (DCNN) or a Capsnet neural network (not shown).
  • DCNN Deep Convolution Neural Network
  • Capsnet neural network not shown.
  • an 'AI model' may refer to a neural network including at least one layer that operates to receive input data and output desired results.
  • an 'AI model' is an algorithm or a set of a plurality of algorithms that outputs a desired result by performing an operation through a neural network, a processor for executing such an algorithm or a set thereof, and a processor for executing such an algorithm or a set thereof. software, or hardware for executing such an algorithm or set thereof.
  • the neural network 1310 may be trained by receiving training data. Then, the learned neural network 1310 receives the input data 1311 through the input terminal 1320, analyzes the input data 1311 through the output terminal 1340, and performs an operation to output output data 1315 as a desired result. can be done An operation through a neural network may be performed through a hidden layer 1330 .
  • the hidden layer 1330 is simplified to be formed as a single layer, but the hidden layer 1330 may be formed as a plurality of layers.
  • the neural network 1310 may be trained to obtain positional information of obstacles present around the vehicle based on surrounding environment information.
  • the neural network 1310 may be trained to obtain antenna control information based on the location information of the obstacle.
  • the neural network 1310 may learn to communicate with the external device by controlling the antenna module based on the antenna control information.
  • the above-described computation through the neural network may be performed by a server (not shown) capable of communicating with the electronic device 10 for a vehicle according to an embodiment through a wireless communication network. Communication between the vehicular electronic device 10 and a server (not shown) will be described in detail below with reference to FIGS. 14 and 15 .
  • the neural network may be implemented within a processor (eg, 330 of FIG. 3 ).
  • FIG. 14 is a diagram illustrating an electronic device according to an exemplary embodiment that operates in association with a server.
  • the server 1410 may include a server, a server system, and a server-based device that transmits and receives data with an electronic device, eg, the electronic device 10 for a vehicle, and processes data through the communication network 1401 .
  • the vehicle electronic device 10 may refer to an electronic device located in the vehicle 1400 .
  • the server 1410 includes a communication unit 1630 communicating with the vehicle electronic device 10 and a processor 1650 executing at least one instruction.
  • server 1410 may train an AI model and store the trained AI model. Then, the server 1410 uses the trained AI model, 'i) based on the surrounding environment information, an operation of acquiring position information of an obstacle existing around the vehicle, ii) based on the position information of the obstacle Accordingly, at least one operation of obtaining antenna control information or iii) performing communication with the external device by controlling the antenna module based on the antenna control information may be performed.
  • the vehicular electronic device 10 may have a limited memory storage capacity, processing speed of calculation, ability to collect learning data sets, and the like compared to the server 1410 . Accordingly, operations requiring storage of large amounts of data and large amounts of computation may be performed in the server 1410, and then necessary data and/or used AI models may be transmitted to the vehicular electronic device 1420 through a communication network. Then, the vehicular electronic device 10 can perform necessary operations quickly and easily by receiving and using necessary data and/or AI models through the server without a large-capacity memory and a processor having fast computing capability.
  • FIG. 15 is a diagram for explaining FIG. 14 in detail.
  • the same components as those in FIGS. 15 and 14 are shown using the same reference symbols. Therefore, in describing the configurations of FIG. 15 , descriptions overlapping with the above descriptions will be omitted.
  • a server 1510 may include a communication unit 1530 and a processor 1550.
  • the server 1510 may further include a DB 1540.
  • the communication unit 1530 may include one or more components that communicate with the vehicular electronic device 10 .
  • the communication unit 1530 includes at least one communication module such as a short-distance communication module, a wired communication module, a mobile communication module, and a broadcast receiving module.
  • at least one communication module includes a tuner for receiving broadcasting, Bluetooth, Wireless LAN (WLAN) (Wi-Fi), Wireless broadband (Wibro), World Interoperability for Microwave Access (Wimax), CDMA, WCDMA, Internet, and 3G , 4G, and/or 5G, means a communication module capable of transmitting and receiving data through a network conforming to communication standards such as a method of performing communication using mmWAVE.
  • the communication module 310 when the communication module 310 performs communication using mmWAVE, a large amount of data can be quickly transmitted and received. Specifically, by rapidly receiving a large amount of data in the vehicle, data necessary for vehicle safety (eg, data necessary for autonomous driving, data necessary for navigation service, etc.), user-used content (eg, movies, music, etc.) etc.), it is possible to increase the safety of the vehicle and/or user's convenience.
  • data necessary for vehicle safety eg, data necessary for autonomous driving, data necessary for navigation service, etc.
  • user-used content eg, movies, music, etc.
  • the mobile communication module included in the communication unit 1530 communicates with other devices (eg, a server (not shown)) located at a distance through a communication network conforming to communication standards such as 3G, 4G, and/or 5G. communication can be performed.
  • a communication module that communicates with a remote server (not shown) may be referred to as a 'remote communication module'.
  • the processor 1550 controls the overall operation of the server 1510. For example, the processor 1550 may perform required operations by executing at least one of at least one instruction and programs of the server 1510 .
  • the DB 1540 may include a memory (not shown), and may store at least one of at least one instruction, program, or data necessary for the server 1510 to perform a predetermined operation in the memory (not shown). there is.
  • the DB 1540 may store data necessary for the server 1510 to perform calculations according to the neural network.
  • the server 1510 may store the neural network described in FIG. 14 .
  • the neural network may be stored in at least one of the processor 1550 and the DB 1540.
  • the neural network included in the server 1510 may be a trained neural network.
  • the server 1510 may transmit the learned neural network to the communication module 310 of the vehicular electronic device 10 through the communication unit 1430 . Then, the vehicular electronic device 10 may obtain and store the neural network for which learning has been completed, and obtain desired output data through the neural network.
  • Various embodiments may provide a method for solving problems of heat generation and power loss due to periodic beam monitoring and searching operations.
  • the processor 330 may obtain location information of obstacles existing around the vehicle based on surrounding environment information.
  • the processor 330 may obtain antenna control information based on the location information of the obstacle.
  • the processor 330 may perform communication with the external device by controlling the antenna module 315 based on the antenna control information.
  • the processor 330 may identify at least one first area not including the obstacle and at least one second area including the obstacle, based on the surrounding environment information.
  • the processor 330 may generate position information of the obstacle based on a 3D coordinate code corresponding to the at least one second area.
  • the location information of the obstacle may include at least one of information on at least one 3D coordinate code corresponding to the obstacle or distance information between the obstacle and the vehicular electronic device.
  • the processor 330 based on at least one of a size reference value and a distance reference value of the obstacle, information on at least one 3D coordinate code corresponding to the obstacle, or the obstacle and the electronic device for the vehicle At least one of the distance information of may be identified.
  • the processor 330 may identify whether the size of the obstacle is equal to or greater than a size reference value of the obstacle.
  • Processor 330 when the size of the obstacle is equal to or greater than the size reference value of the obstacle, information on at least one 3D coordinate code corresponding to the obstacle, or the obstacle and the vehicle electronic At least one of the distance information of the device may be identified.
  • the processor 330 may identify whether the distance between the obstacle and the vehicular electronic device is equal to or smaller than the distance reference value.
  • Processor 330 when the distance between the obstacle and the in-vehicle electronic device is equal to or smaller than the distance reference value, information on at least one 3D coordinate code corresponding to the obstacle or the obstacle and At least one of the distance information of may be identified.
  • the processor 330 may obtain location information of the vehicular electronic device.
  • the processor 330 may identify the location information of the obstacle based on the location information of the vehicular electronic device.
  • the processor 330 may identify at least one 3D coordinate code corresponding to a first area not including the obstacle, based on the location information of the obstacle.
  • the processor 330 may identify at least one beam code corresponding to the at least one 3D coordinate code based on a codebook.
  • the processor 330 may generate the antenna control information based on the at least one beam code.
  • the processor 330 may control the antenna module 315 to communicate with the external device using the at least one beam code.
  • the processor 330 may identify an area around the electronic device 10 as at least one sub-region based on the location of the electronic device 10 .
  • the processor 330 may identify at least one subregion including the obstacle, based on the surrounding environment information.
  • the processor 330 may generate position information of the obstacle based on a 3D coordinate code corresponding to the sub-region.
  • the vehicular electronic device 10 obtains positional information of obstacles present around the vehicle based on surrounding environment information collected from the sensor module 320 of the vehicle in which the vehicular electronic device 10 is mounted. can be obtained
  • the vehicular electronic device 10 may obtain antenna control information based on the location information of the obstacle.
  • the vehicle electronic device 10 may perform communication with an external device by controlling the antenna module 315 based on the antenna control information.
  • the vehicular electronic device 10 may identify at least one first area free from the obstacle and at least one second area including the obstacle, based on the surrounding environment information.
  • the vehicular electronic device 10 may generate position information of the obstacle based on a 3D coordinate code corresponding to the at least one second region.
  • the vehicular electronic device 10 provides information on at least one 3D coordinate code corresponding to an obstacle, or the obstacle and the vehicular electronic device, based on at least one of a size reference value and a distance reference value of the obstacle. At least one of the distance information of the device 10 may be identified.
  • the vehicular electronic device 10 may identify whether the size of the obstacle is equal to or greater than a size reference value of the obstacle.
  • the electronic device 10 for a vehicle provides information on at least one 3D coordinate code corresponding to the obstacle or the obstacle and the vehicle. At least one piece of distance information of the electronic device 10 may be identified.
  • the vehicular electronic device 10 may identify whether the distance between the obstacle and the vehicular electronic device 10 is equal to or smaller than the distance reference value.
  • the vehicular electronic device 10 When the distance between the obstacle and the vehicular electronic device 10 is equal to or smaller than the distance reference value, the vehicular electronic device 10 according to an embodiment includes information about at least one 3D coordinate code corresponding to the obstacle; Alternatively, at least one of distance information to the obstacle may be identified.
  • the vehicular electronic device 10 may obtain location information of the vehicular electronic device 10 .
  • the vehicular electronic device 10 may obtain location information of an obstacle existing around the vehicle.
  • the vehicular electronic device 10 may identify the location information of the obstacle based on the location information of the vehicular electronic device 10 .
  • the vehicular electronic device 10 may identify at least one 3D coordinate code corresponding to a first area in which the obstacle is not included, based on the location information of the obstacle.
  • the vehicular electronic device 10 may identify at least one beam code corresponding to the at least one 3D coordinate code based on a codebook.
  • the vehicular electronic device 10 may generate the antenna control information based on the at least one beam code.
  • the vehicle electronic device 10 may control the antenna module to communicate with the external device using the at least one beam code.
  • the vehicular electronic device 10 may identify an area surrounding the vehicular electronic device as at least one sub-region.
  • the vehicular electronic device 10 may identify at least one sub-region including the obstacle based on the surrounding environment information.
  • the vehicular electronic device 10 may generate position information of the obstacle based on a 3D coordinate code corresponding to the sub-region.
  • the vehicular electronic device 10 may preferentially process beam code data for a space where communication connection with the base station is highly likely, and the vehicular electronic device 10 may perform effective beam monitoring and beam searching.
  • the device-readable storage medium may be provided in the form of a non-transitory storage medium.
  • 'non-temporary storage medium' only means that it is a tangible device and does not contain signals (e.g., electromagnetic waves), and this term refers to the case where data is stored semi-permanently in the storage medium and temporary It does not discriminate if it is saved as .
  • a 'non-temporary storage medium' may include a buffer in which data is temporarily stored.
  • the method according to various embodiments disclosed in this document may be provided by being included in a computer program product.
  • Computer program products may be traded between sellers and buyers as commodities.
  • a computer program product is distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store or between two user devices (eg smartphones). It can be distributed (e.g., downloaded or uploaded) directly or online.
  • a computer program product eg, a downloadable app
  • a device-readable storage medium such as a memory of a manufacturer's server, an application store server, or a relay server. It can be temporarily stored or created temporarily.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne, selon un mode de réalisation, un dispositif électronique de véhicule qui peut acquérir des informations d'emplacement concernant un obstacle présent à proximité du véhicule sur la base d'informations d'environnement ambiant collectées à partir d'un module de capteur du véhicule sur lequel le dispositif électronique de véhicule est monté. Le dispositif électronique de véhicule peut acquérir des informations de commande d'antenne sur la base des informations d'emplacement concernant l'obstacle. Le dispositif électronique de véhicule peut communiquer avec un dispositif externe par commande d'un module d'antenne sur la base des informations de commande d'antenne.
PCT/KR2022/021403 2022-02-25 2022-12-27 Dispositif électronique de véhicule et procédé de fonctionnement associé WO2023163354A1 (fr)

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KR20220025507 2022-02-25
KR10-2022-0025507 2022-02-25
KR10-2022-0050076 2022-04-22
KR1020220050076A KR20230127818A (ko) 2022-02-25 2022-04-22 차량용 전자 장치 및 그 동작 방법

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Publication number Priority date Publication date Assignee Title
KR20090062528A (ko) * 2007-12-13 2009-06-17 현대자동차주식회사 차량용 레이더 지향성 교정시스템
WO2017018729A1 (fr) * 2015-07-24 2017-02-02 엘지전자 주식회사 Radar pour véhicule et véhicule équipé de celui-ci
KR20190100107A (ko) * 2019-08-09 2019-08-28 엘지전자 주식회사 자율 주행 시스템에서 차량의 무선 통신을 위한 방법 및 장치
KR20200108097A (ko) * 2018-02-05 2020-09-16 메타웨이브 코포레이션 빔 조향 레이더 및 콘볼루션 신경망 시스템을 사용하는 물체 감지를 위한 방법 및 장치
KR20220000757A (ko) * 2020-06-26 2022-01-04 삼성전자주식회사 차량에 탑재된 안테나 디바이스 및 안테나 디바이스의 스위칭 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20090062528A (ko) * 2007-12-13 2009-06-17 현대자동차주식회사 차량용 레이더 지향성 교정시스템
WO2017018729A1 (fr) * 2015-07-24 2017-02-02 엘지전자 주식회사 Radar pour véhicule et véhicule équipé de celui-ci
KR20200108097A (ko) * 2018-02-05 2020-09-16 메타웨이브 코포레이션 빔 조향 레이더 및 콘볼루션 신경망 시스템을 사용하는 물체 감지를 위한 방법 및 장치
KR20190100107A (ko) * 2019-08-09 2019-08-28 엘지전자 주식회사 자율 주행 시스템에서 차량의 무선 통신을 위한 방법 및 장치
KR20220000757A (ko) * 2020-06-26 2022-01-04 삼성전자주식회사 차량에 탑재된 안테나 디바이스 및 안테나 디바이스의 스위칭 방법

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