Edge-accelerated artificial intelligence for collaborative sensing of physical intelligent moving objects

    公开(公告)号:US11562645B2

    公开(公告)日:2023-01-24

    申请号:US16838449

    申请日:2020-04-02

    申请人: Fujitsu Limited

    摘要: Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.

    Digital representations of physical intelligent moving objects

    公开(公告)号:US11690128B2

    公开(公告)日:2023-06-27

    申请号:US16298578

    申请日:2019-03-11

    申请人: Fujitsu Limited

    摘要: Systems and methods including identifying a physical intelligent moving object (IMO), the physical IMO associated with a current location and a service request; creating, from a digital representation template that is based on the service request, a digital representation instance of the physical IMO in a particular edge cloud of a distributed cloud computing environment that is closest to the current location of the physical IMO; in response to creating the digital representation instance, establishing a network connection between the digital representation and the physical IMO using the particular edge cloud; detecting a movement of the physical IMO from coverage of the particular edge cloud; in response to detecting the movement of the physical IMO: identifying a target edge cloud of the distributed cloud computing environment for coverage of the physical IMO; and establishing a network connection between the digital representation and the physical IMO using the target edge cloud.

    Multiplexing of resource blocks within a communications network for dynamic service provisioning

    公开(公告)号:US11190231B1

    公开(公告)日:2021-11-30

    申请号:US16939794

    申请日:2020-07-27

    申请人: Fujitsu Limited

    摘要: Systems and methods for transmitting, within a time slot, i) first eMBB resource blocks to a first UE and ii) second eMBB resource blocks to a second UE; during transmission of the first and the second eMBB resource blocks to the first and the second UE, respectively, at a first scheduled check point: identifying i) first URLLC resource blocks to be transmitted to a third UE and ii) second URLLC resource blocks to be transmitted to a fourth UE; identifying i) a first transmission deadline for transmitting the first URLLC resource blocks to the third UE and ii) a second transmission deadline for transmitting the second URLLC resource blocks to the fourth UE; generating a transmission queue for the first URLLC resource blocks and the second URLLC resource blocks; and selecting, based on the transmission queue, the second URLLC resource blocks for transmission to the fourth UE.

    Fragmentation-aware intelligent autonomous intersection management using a space-time resource model

    公开(公告)号:US11011056B2

    公开(公告)日:2021-05-18

    申请号:US16193818

    申请日:2018-11-16

    申请人: Fujitsu Limited

    IPC分类号: G08G1/0967 G05D1/02 G05D1/00

    摘要: An intersection management system (IMS) may receive one or more traversing requests from one or more Connected Autonomous Vehicles (CAVs). The IMS may determine a solution space for each of the one or more traversing requests in a space-time resource model of the intersection, find a CAV trajectory allocation in the space-time resource model for each of the one or more traversing requests. The IMS may send an approved reservation to each CAV corresponding to each of the one or more CAV trajectory allocations that have been found. Each of the one or more CAVs may, when an approved reservation corresponding to the CAV may have been received from the IMS, move through the intersection zone as specified in the approved reservation.

    EDGE-ACCELERATED ARTIFICIAL INTELLIGENCE FOR COLLABORATIVE SENSING OF PHYSICAL INTELLIGENT MOVING OBJECTS

    公开(公告)号:US20210110710A1

    公开(公告)日:2021-04-15

    申请号:US16838449

    申请日:2020-04-02

    申请人: Fujitsu Limited

    摘要: Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.

    DIGITAL REPRESENTATIONS OF PHYSICAL INTELLIGENT MOVING OBJECTS

    公开(公告)号:US20200296789A1

    公开(公告)日:2020-09-17

    申请号:US16298578

    申请日:2019-03-11

    申请人: Fujitsu Limited

    摘要: Systems and methods including identifying a physical intelligent moving object (IMO), the physical IMO associated with a current location and a service request; creating, from a digital representation template that is based on the service request, a digital representation instance of the physical IMO in a particular edge cloud of a distributed cloud computing environment that is closest to the current location of the physical IMO; in response to creating the digital representation instance, establishing a network connection between the digital representation and the physical IMO using the particular edge cloud; detecting a movement of the physical IMO from coverage of the particular edge cloud; in response to detecting the movement of the physical IMO: identifying a target edge cloud of the distributed cloud computing environment for coverage of the physical IMO; and establishing a network connection between the digital representation and the physical IMO using the target edge cloud.

    Provisioning real-time three-dimensional maps for autonomous vehicles

    公开(公告)号:US11508118B2

    公开(公告)日:2022-11-22

    申请号:US16927312

    申请日:2020-07-13

    申请人: Fujitsu Limited

    摘要: Systems and methods for provisioning real-time three-dimensional maps, including: at a first processing stage: updating a three-dimensional map of an environment based on received point cloud data; extracting three-dimensional proposals of objects of the environment; projecting the three-dimensional proposals onto a two-dimensional image of the environment; generating two-dimensional proposals of the objects of the environment; at a second processing stage: detecting the objects of the environment from the two-dimensional image of the environment; generating two-dimensional bounding boxes of the objects of the environment; matching the two-dimensional bounding box with a particular two-dimensional proposal of the two-dimensional proposals; and labeling, for each two-dimensional proposal that is matched to a two-dimensional bounding box, the three-dimensional proposal corresponding to the two-dimensional proposal with semantic information associated with the two-dimensional bounding box that is matched to the two-dimensional proposal to update the three-dimensional map.

    CIRCUIT MIGRATION SEQUENCE GENERATION FOR NETWORK MODERNIZATION

    公开(公告)号:US20220094571A1

    公开(公告)日:2022-03-24

    申请号:US17029661

    申请日:2020-09-23

    申请人: Fujitsu Limited

    摘要: Disclosed methods for network modernization include obtaining a list of end-to-end circuits carried in a circuit-switched network, calculating, for each circuit, an early retirement credit (ERC) score and a circuit load factor (CLF) score, selecting, dependent on the ERC and CLF scores, a circuit to migrate to a new network, adding the selected circuit to a circuit migration sequence, and removing the circuit from the list. The ERC score represents the number of circuit-switching units on which no circuits would be carried and that would remain in the network following its removal. The CLF score represents an average number of circuits that would be carried on each circuit-switching unit currently traversed by the circuit following its removal. When two circuits have the highest ERC score, the circuit with the lowest CLF score is selected for migration. The method is repeated until the list is empty.

    Automatic perspective transformation

    公开(公告)号:US11842544B2

    公开(公告)日:2023-12-12

    申请号:US17339815

    申请日:2021-06-04

    申请人: FUJITSU LIMITED

    IPC分类号: G06V20/56 G06N20/00

    CPC分类号: G06V20/56 G06N20/00

    摘要: A method may include obtaining an image of a scene from a first perspective, the image including an object, and detecting the object in the image using a machine learning process, where the object may be representative of a known shape with at least four vertices at a first set of points. The method may also include automatically predicting a second set of points corresponding to the at least four vertices of the object in a second perspective of the scene based on the known shape of the object. The method may additionally include constructing, without user input, a transformation matrix to transform a given image from the first perspective to the second perspective based on the first set of points and the second set of points.