WO2024042640A1 - 通信管理装置、通信管理方法およびプログラム - Google Patents

通信管理装置、通信管理方法およびプログラム Download PDF

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Publication number
WO2024042640A1
WO2024042640A1 PCT/JP2022/031888 JP2022031888W WO2024042640A1 WO 2024042640 A1 WO2024042640 A1 WO 2024042640A1 JP 2022031888 W JP2022031888 W JP 2022031888W WO 2024042640 A1 WO2024042640 A1 WO 2024042640A1
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WIPO (PCT)
Prior art keywords
communication
intersection
cause
video
failure
Prior art date
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Ceased
Application number
PCT/JP2022/031888
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English (en)
French (fr)
Japanese (ja)
Inventor
祐児 佐藤
一気 尾形
淳 高澤
敬志 利根川
航生 小林
英希 吉川
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NEC Corp
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NEC Corp
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Priority to PCT/JP2022/031888 priority Critical patent/WO2024042640A1/ja
Priority to JP2024542499A priority patent/JPWO2024042640A1/ja
Priority to US19/104,716 priority patent/US20260058866A1/en
Publication of WO2024042640A1 publication Critical patent/WO2024042640A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0677—Localisation of faults
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • 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
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30236—Traffic on road, railway or crossing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08—Detecting or categorising vehicles

Definitions

  • the present invention relates to a communication management device, a communication management method, and a program.
  • Patent Document 1 discloses an obstacle detection unit that detects when a communication obstacle enters the wireless propagation path between the own vehicle and a communication partner, and a device that detects the communication obstacle that has entered the wireless propagation path from the own vehicle.
  • An edge detection unit detects the edge of the outer shape of a communication obstacle when viewed, and when a communication obstacle enters the wireless propagation path, the direction of the directional beam by the directional antenna is determined from the direction toward the communication partner.
  • a communication device is disclosed that includes a control section that controls a wireless communication section so as to change the direction toward an edge of an obstacle.
  • the communication device disclosed in Patent Document 1 detects when a communication obstacle enters the wireless propagation path between the host vehicle and the communication partner, and changes the direction of the directional beam by the directional antenna to the direction of the communication obstacle. The direction is changed toward the edge. Therefore, it is assumed that the communication device moves as the host vehicle moves, and that a communication obstacle exists in front of the host vehicle. Therefore, in a system where communication equipment is installed at an intersection, if there is an obstacle between the antenna of the communication equipment and the base station, the technique disclosed in Patent Document 1 cannot be applied.
  • One aspect of the present invention has been made in view of the above problems, and an object thereof is to provide a technique that can avoid factors that cause communication failures in communication equipment disposed at intersections.
  • a communication management device includes: a communication means capable of communicating with a base station and having directivity disposed at an intersection; an acquisition means for acquiring traffic information of the intersection as a video; and the acquisition means. an analysis means for analyzing the image acquired by the communication means; a driving means for changing the direction of the communication means; and control means for causing the drive means to change the direction of the communication means.
  • a communication management method acquires traffic information of an intersection as a video, analyzes the acquired video, and communicates with a base station, and provides a directional communication device arranged at the intersection.
  • the cause of the communication failure of the means is recognized, the direction of the communication means is changed depending on the cause of the communication failure.
  • a program is configured to cause a computer to perform processing for acquiring traffic information of an intersection as a video, processing for analyzing the acquired video, and communication with a base station, and is located at the intersection.
  • a process of changing the direction of the communication means is executed in accordance with the cause of the communication failure.
  • FIG. 1 is a block diagram illustrating a configuration example of a communication management device according to a first exemplary embodiment of the present invention.
  • FIG. 2 is a flow diagram showing the flow of a communication management method of the communication management device according to the first exemplary embodiment of the present invention.
  • FIG. 3 is a diagram illustrating an example of an intersection where a communication management device according to a second exemplary embodiment of the present invention is placed.
  • FIG. 2 is a block diagram illustrating a configuration example of a communication management device according to a second exemplary embodiment of the present invention.
  • FIG. 2 is a block diagram showing the configuration of a computer that functions as a communication management device according to each exemplary embodiment.
  • FIG. 1 is a block diagram showing a configuration example of a communication management device 1 according to a first exemplary embodiment of the present invention.
  • the communication management device 1 according to this exemplary embodiment includes a communication means 11, an acquisition means 12, an analysis means 13, a drive means 14, and a control means 15, as shown in FIG.
  • the communication means 11 is capable of communicating with a base station, is placed at an intersection, and has directivity.
  • the communication means 11 is, for example, a directional antenna. Communication failure may occur in the communication means 11 due to a plurality of factors, such as when there is an obstacle between the communication means 11 and the base station, causing a communication failure, or when radio wave interference causes a communication failure.
  • the base station is, for example, a gNB (next generation Node B) in a 5G (fifth generation mobile communication system) core network (5GC) defined by 3GPP (third generation mobile communication system partnership project), or a 4G (fourth generation Mobile communication system) eNB (evolved Node B) in the core network (4GC), etc.
  • 5G farth generation mobile communication system
  • 5GC fifth generation mobile communication system
  • 3GPP third generation mobile communication system partnership project
  • 4G fourth generation Mobile communication system
  • eNB evolved Node B
  • the communication means 11 is installed at a traffic light at an intersection, etc., and is installed in a position where communication with the base station is not blocked by ordinary cars, passersby, etc.; Communication between them may be interrupted.
  • the acquisition means 12 acquires traffic information of the intersection as a video.
  • the acquisition means 12 acquires, for example, images captured by one or more cameras placed at an intersection.
  • One or more cameras may be configured to capture images of the entire intersection, or may be configured to capture images of only a portion of the intersection.
  • the analysis means 13 analyzes the video image acquired by the acquisition means 12.
  • the analysis means 13 performs object recognition using deep learning such as a convolutional neural network (CNN), and identifies objects in the video.
  • CNN convolutional neural network
  • the analysis means 13 is configured to identify a vehicle and its model from the video. Then, the analysis means 13 determines whether the vehicle is a large vehicle or not based on the model of the vehicle, and recognizes whether the object is a cause of a communication failure (obstruction).
  • the analysis means 13 may recognize objects other than vehicles, such as trees and buildings, that may cause communication failure (obstacles).
  • the driving means 14 changes the direction of the communication means.
  • the driving means 14 is constituted by, for example, a servo motor or the like, and is capable of changing the direction of the communication means 11 in the vertical direction or the horizontal direction.
  • control means 15 causes the drive means 14 to change the direction of the communication means 11 according to the cause of the communication failure. For example, when an obstacle is recognized by the analysis means 13, the control means 15 causes the drive means 14 to change the direction of the communication means 11 so as to avoid the direction in which the obstacle is located.
  • the communication means 11, the acquisition means 12, the analysis means 13, the drive means 14, and the control means 15 are configured to be able to communicate via a network, for example.
  • the specific configuration of the network does not limit this exemplary embodiment, but examples include wireless LAN (Local Area Network), wired LAN, WAN (Wide Area Network), public line network, mobile data Communication networks or a combination of these networks can be used.
  • each function of the communication management device 1 may be implemented on the cloud or on MEC (Multi-access Edge Computing).
  • the communication means 11 and the drive means 14 may be one device, and the acquisition means 12, the analysis means 13, and the control means 15 may be one device. These may be implemented in one device or in separate devices. For example, when the components are installed in separate devices, information from each component is sent and received via a network to proceed with processing.
  • the control means 15 controls the cause of the communication failure.
  • the driving means 14 is caused to change the direction of the communication means 11 in accordance with this. Therefore, the communication management device 1 can avoid communication failure factors of the communication means 11 disposed at intersections.
  • FIG. 2 is a flow diagram showing the flow of the communication management method. As shown in FIG. 2, the communication management method S1 includes steps S11 to S13.
  • the acquisition means 12 acquires traffic information of the intersection as a video (S11).
  • the acquisition means 12 acquires, for example, images captured by one or more cameras placed at an intersection.
  • One or more cameras may be configured to capture images of the entire intersection, or may be configured to capture images of only a portion of the intersection.
  • the analysis means 13 analyzes the acquired video (S12). For example, the analysis means 13 is configured to identify a vehicle and its model from the video. Then, the analysis means 13 determines whether the vehicle is a large vehicle or not based on the model of the vehicle, and recognizes whether the object is a cause of a communication failure (obstruction). Furthermore, the analysis means 13 may recognize objects other than vehicles, such as trees and buildings, that may cause communication failure (obstacles).
  • the control means 15 responds to the cause of the communication failure. Then, the direction of the communication means 11 is changed (S13). For example, when an obstacle is recognized by the analysis means 13, the control means 15 causes the drive means 14 to change the direction of the communication means 11 so as to avoid the direction in which the obstacle is located.
  • FIG. 3 is a diagram showing an example of an intersection where a communication management device 1A according to the second exemplary embodiment of the present invention is placed. As shown in FIG. 3, four traffic lights 40-1 to 40-4 are installed at the intersection. A communication unit 11-1 (communication management device) and a camera 20-1 are arranged at the traffic light 40-1. A communication unit 11-2 (communication management device) and a camera 20-2 are arranged at the traffic light 40-2. A communication unit 11-3 (communication management device) and a camera 20-3 are arranged at the traffic light 40-3. Further, the base station 30 and the camera 20-4 are arranged at the traffic light 40-4.
  • the communication management device including the communication unit 11-1 may acquire video from the camera 20-1 and analyze only a portion of the video of the intersection, or may It is also possible to acquire four images from the intersection and analyze the image of the entire intersection.
  • FIG. 4 is a block diagram showing a configuration example of a communication management device 1A according to a second exemplary embodiment of the present invention.
  • the communication management device 1A includes a communication section 11, an acquisition section 12, an analysis section 13, a drive section 14, a control section 15, and a storage section 16.
  • the communication unit 11 is a configuration that realizes a communication means in this exemplary embodiment.
  • the acquisition unit 12 is a configuration that implements an acquisition means in this exemplary embodiment.
  • the analysis unit 13 is configured to implement analysis means in this exemplary embodiment.
  • the drive unit 14 is a configuration that realizes a drive means in this exemplary embodiment.
  • the control unit 15 is configured to implement a control means in this exemplary embodiment.
  • the storage unit 16 is a configuration that implements storage means in this exemplary embodiment.
  • the communication unit 11 can communicate with the base station 30, is placed at an intersection, and has directivity.
  • the communication unit 11 is, for example, an antenna with directivity. Communication failure may occur in the communication unit 11 due to a plurality of factors, such as when there is an obstacle between the communication unit 11 and the base station 30, causing a communication failure, or when radio wave interference causes a communication failure.
  • the acquisition unit 12 acquires intersection traffic information as a video from a camera 20 placed at the intersection. For example, as shown in FIG. 3, the acquisition unit 12 acquires images captured by one or more cameras 20-1 to 20-4 placed at an intersection.
  • the analysis unit 13 analyzes the video acquired by the acquisition unit 12. For example, the analysis unit 13 is configured to identify a vehicle and its model from the video. Then, the analysis unit 13 determines whether the vehicle is a large vehicle based on the model of the vehicle, and recognizes whether the object is a cause of a communication failure (an obstacle that obstructs the communication of the communication unit 11).
  • the analysis unit 13 may analyze whether the vehicle is blocking the wireless communication path and stopping, without specifying the vehicle type. Further, when determining whether a vehicle is a large vehicle, the analysis unit 13 may determine whether the vehicle is a large vehicle not from the type of vehicle but from the size of the vehicle in the image.
  • the drive unit 14 changes the orientation of the communication unit 11.
  • the drive unit 14 is configured by, for example, a servo motor or the like, and is capable of changing the direction of the communication unit 11 in the vertical direction or the horizontal direction.
  • the control unit 15 causes the drive unit 14 to change the orientation of the communication unit 11 according to the cause of the communication failure. For example, when the analysis unit 13 recognizes an obstacle, the control unit 15 causes the drive unit 14 to change the direction of the communication unit 11 so as to avoid the direction in which the obstacle is located.
  • the analysis unit 13 also predicts the movement of obstacles. For example, the analysis unit 13 identifies the moving direction of the large vehicle from the video (images of multiple frames) acquired from the camera 20. Then, even if the large vehicle is not currently an obstacle, the analysis unit 13 predicts whether the large vehicle may become an obstacle in the future depending on the direction of movement.
  • the control unit 15 causes the drive unit 14 to change the direction of the communication unit 11 in accordance with the predicted movement of the obstacle. For example, when the analysis unit 13 predicts that a large vehicle may become an obstacle, the control unit 15 causes the drive unit 14 to change the direction of the communication unit 11 in advance.
  • the storage unit 16 stores past images of intersections.
  • the past video of the intersection may be, for example, a video of the intersection when the communication quality deteriorated, or a video of the intersection when the communication quality was good.
  • the analysis unit 13 compares the past video of the intersection with the video of the intersection acquired by the acquisition unit 12 to analyze the cause of the communication failure in the communication unit 11. For example, if the past video of the intersection is a video of the intersection when the communication quality deteriorated, the analysis unit 13 performs a matching process between the past video of the intersection and the video of the intersection acquired by the acquisition unit 12. If the degree of similarity is greater than or equal to a predetermined value, the cause of the communication failure in the communication unit 11 is identified.
  • the storage unit 16 stores a plurality of past images of intersections when the communication quality deteriorated, and corresponding to each image, it also stores the cause of the communication failure and the direction of the communication unit 11 to avoid the communication failure. I remember.
  • the analysis unit 13 performs matching processing between the past video of the intersection when the communication quality deteriorated, which is stored in the storage unit 16, and the current video of the intersection acquired by the acquisition unit 12. If there is a past video with a degree of similarity equal to or higher than a predetermined value, the analysis unit 13 identifies the cause of the communication failure corresponding to the past video as the cause of the current communication failure.
  • control unit 15 obtains the direction of the communication unit 11 to avoid the communication failure, and causes the drive unit 14 to change the direction of the communication unit 11.
  • the past video may be a past video of an intersection immediately before the communication quality deteriorated.
  • the analysis unit 13 determines that the event is likely to cause a communication failure. For example, if a past image of an intersection when communication quality deteriorated was a scene when a truck entered a position where communication was cut off, the analysis unit 13 determines that the current state of the intersection is close to that state. By detecting this, it is possible to predict that a truck is likely to enter the location where communication will be cut off.
  • the analysis unit 13 can determine that the current state of the intersection is close to that state. It is possible to detect and predict that a communication failure is likely to occur due to factors other than obstacles.
  • the control unit 15 causes the drive unit 14 to change the orientation of the communication unit 11 depending on the cause of the communication failure. In this way, the communication management device 1A can predict the cause of communication failure and change the orientation of the communication unit 11 before the communication quality deteriorates.
  • the analysis unit 13 acquires the video of the intersection when the communication quality was good and the acquisition unit 12 when the communication quality deteriorated.
  • the cause of the communication failure can be identified by comparing it with the video of the intersection.
  • the analysis unit 13 It is possible to identify the portion of the image where the difference exists as the cause of the communication failure.
  • the control unit 15 does not cause the drive unit 14 to change the orientation of the communication unit 11.
  • the analysis unit 13 can identify the cause of a communication failure by comparing past images of an intersection when the communication quality was good and images of the intersection acquired by the acquisition unit 12 when the communication quality deteriorated. If this is not possible, it can be determined that the deterioration in communication quality is not due to an object within the intersection, but is due to a network failure or the like. In the event of a network failure, there is no need to change the orientation of the communication unit 11, so the control unit 15 does not cause the drive unit 14 to change the orientation of the communication unit 11.
  • the analysis unit 13 predicts the movement of the obstacle, and the control unit 15 controls the drive unit according to the prediction of the movement of the obstacle. 14 to change the direction of the communication unit 11. Therefore, the control unit 15 can change the orientation of the communication unit 11 before the obstacle interrupts communication.
  • the analysis unit 13 compares the past video of the intersection with the video of the intersection acquired by the acquisition unit 12 to analyze the cause of the communication failure in the communication unit 11. Therefore, since the analysis unit 13 does not need to perform object recognition, the processing load can be reduced.
  • the analysis unit 13 performs matching processing between the past video of the intersection when the communication quality deteriorated and the video of the intersection acquired by the acquisition unit 12, and when the similarity is greater than or equal to a predetermined value, the communication unit Identify the causes of 11 communication failures. Therefore, if the current image of the intersection is close to the past image of the intersection when the communication quality deteriorated, the analysis unit 13 can determine that the event is likely to cause a communication failure.
  • the analysis unit 13 can determine that the current state of the intersection is close to that state. It is possible to detect and predict that a communication failure is likely to occur due to factors other than obstacles.
  • the analysis unit 13 also identifies the cause of the communication failure by comparing past images of the intersection when the communication quality was good and images of the intersection acquired by the acquisition unit 12 when the communication quality deteriorated. do. Therefore, the analysis unit 13 can identify the portion where the video differs as the cause of the communication failure.
  • the control unit 15 does not cause the drive unit 14 to change the orientation of the communication unit 11. Therefore, if it can be determined that the deterioration in communication quality is not due to an object within the intersection but to a network failure or the like, changing the orientation of the communication unit 11 can be made unnecessary.
  • Some or all of the functions of the communication management devices 1 and 1A may be realized by hardware such as an integrated circuit (IC chip), or may be realized by software.
  • the communication management devices 1 and 1A are realized, for example, by a computer that executes instructions of a program that is software that realizes each function.
  • a computer that executes instructions of a program that is software that realizes each function.
  • An example of such a computer (hereinafter referred to as computer C) is shown in FIG.
  • Computer C includes at least one processor C1 and at least one memory C2.
  • a program P for operating the computer C as the communication management device 1, 1A is recorded in the memory C2.
  • the processor C1 reads the program P from the memory C2 and executes it, thereby realizing each function of the communication management devices 1 and 1A.
  • Examples of the processor C1 include a CPU (Central Processing Unit), GPU (Graphic Processing Unit), DSP (Digital Signal Processor), MPU (Micro Processing Unit), FPU (Floating Point Number Processing Unit), and PPU (Physics Processing Unit). , a microcontroller, or a combination thereof.
  • a flash memory for example, a flash memory, an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a combination thereof can be used.
  • the computer C may further include a RAM for expanding the program P during execution and temporarily storing various data. Further, the computer C may further include a communication interface for transmitting and receiving data with other devices. Further, the computer C may further include an input/output interface for connecting input/output devices such as a keyboard, a mouse, a display, and a printer.
  • the program P can be recorded on a non-temporary tangible recording medium M that is readable by the computer C.
  • a recording medium M for example, a tape, a disk, a card, a semiconductor memory, or a programmable logic circuit can be used.
  • Computer C can acquire program P via such recording medium M.
  • the program P can be transmitted via a transmission medium.
  • a transmission medium for example, a communication network or broadcast waves can be used.
  • Computer C can also obtain program P via such a transmission medium.
  • a directional communication means capable of communicating with a base station and placed at an intersection; acquisition means for acquiring traffic information of the intersection as a video; analysis means for analyzing the video acquired by the acquisition means; driving means for changing the direction of the communication means; control means for causing the driving means to change the direction of the communication means in accordance with the cause of the communication failure when the cause of the communication failure of the communication means is recognized by the analysis means;
  • a communication management device comprising:
  • the analysis means predicts the movement of the obstacle
  • the control means causes the drive means to change the direction of the communication means in accordance with the predicted movement of the obstacle.
  • the communication management device according to supplementary note 2.
  • control means can change the direction of the communication means before the obstacle interrupts communication.
  • the analysis means compares a past image of the intersection with an image of the intersection acquired by the acquisition means, and analyzes the cause of a communication failure of the communication means.
  • the communication management device according to supplementary note 1.
  • the analysis means does not need to perform object recognition, so the processing load can be reduced.
  • the past video of the intersection is a video of the intersection when communication quality deteriorated
  • the analysis means identifies the cause of the communication failure of the communication means when the degree of similarity between the past image of the intersection and the image of the intersection acquired by the acquisition means is a predetermined value or more
  • the control means causes the drive means to change the direction of the communication means depending on the cause of the communication failure.
  • the communication management device according to appendix 4.
  • the analysis means determines that the event is likely to cause a communication failure. I can do it. Furthermore, the analysis means can predict that a communication failure is likely to occur due to factors other than obstacles.
  • the past video of the intersection is a video of the intersection when communication quality was good
  • the analysis means identifies the cause of the communication failure by comparing an image of the intersection when the communication quality is good and an image of the intersection acquired by the acquisition means when the communication quality is poor.
  • the communication management device according to appendix 4.
  • the analysis means can identify the portion where the video differs as the cause of the communication failure.
  • control means does not cause the drive means to change the direction of the communication means if the cause of the communication failure of the communication means is not identified by the analysis means.
  • the communication management device according to appendix 6.
  • (Appendix 10) at least one processor, the processor comprising: Processing to obtain intersection traffic information as video, a process of analyzing the acquired video; If a cause of a communication failure of a communication means that is capable of communicating with a base station and has directionality and is placed at the intersection is recognized, a process of changing the direction of the communication means according to the cause of the communication failure; , A communication management device that executes
  • this communication management device may further include a memory, and this memory stores a program for causing the processor to execute the acquiring process, the analyzing process, and the changing process. may have been done. Further, this program may be recorded on a computer-readable non-transitory tangible recording medium.
  • Communication management device 11 Communication unit (communication means) 12 Acquisition unit (acquisition means) 13 Analysis section (analysis means) 14 Drive section (drive means) 15 Control unit (control means) 16 Storage unit 20 Camera 30 Base station 40 Traffic light 50 Obstacle

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PCT/JP2022/031888 2022-08-24 2022-08-24 通信管理装置、通信管理方法およびプログラム Ceased WO2024042640A1 (ja)

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JP2024542499A JPWO2024042640A1 (https=) 2022-08-24 2022-08-24
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020217460A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 端末及び通信システム
WO2020217457A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信システム及び基地局
WO2020217459A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信装置及び通信システム

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WO2020217460A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 端末及び通信システム
WO2020217457A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信システム及び基地局
WO2020217459A1 (ja) * 2019-04-26 2020-10-29 日本電信電話株式会社 通信装置及び通信システム

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