WIRING DIAGRAM CREATION DEVICE, WIRING DIAGRAM CREATION METHOD AND WIRING DIAGRAM CREATION PROGRAM

    公开(公告)号:US20220398357A1

    公开(公告)日:2022-12-15

    申请号:US17642835

    申请日:2019-09-18

    Abstract: The purpose of the present disclosure is to make it possible to determine owners of cables from a positional relationship between the cables in an off-site equipment model acquired through a mobile mapping system (MMS). The present disclosure acquires cable models serving as solid models of cables extracted from three-dimensional point group data (S11), identifies a positional relationship of the cables from the cable models and determines owners of the cables from the positional relationship in accordance with a determination table defining a vertical relationship of the cables (S22), links information of the owners determined to the solid models, and creates a line diagram by using the cable models to which the information of the owners is linked.

    POINT CLOUD ANALYSIS DEVICE, METHOD, AND PROGRAM

    公开(公告)号:US20220215572A1

    公开(公告)日:2022-07-07

    申请号:US17608963

    申请日:2019-05-08

    Abstract: Provided is a point cloud analysis device that curbs a decrease in model estimation accuracy due to a laser measurement point cloud. A clustering unit (30) clusters a point cloud representing a three-dimensional point on an object obtained by a measurement unit mounted on a moving body and performing measurement while scanning a measurement position, within a scan line, to obtain a point cloud cluster. A central axis direction estimation unit (32) estimates a central axis direction based on the point cloud cluster. A direction-dependent local effective length estimation unit (34) estimates a local effective length based on an estimated central axis direction and an interval of scan lines, the local effective length being a length when a length of projection of the point cloud cluster in a central axis direction for each of the point cloud clusters is interpolated by an amount of a loss part of the point cloud.

    VEHICLE ATTITUDE OUTPUT DEVICE, POINT CLOUD 3D CONVERSION SYSTEM, VEHICLE ATTITUDE OUTPUT METHOD, POINT CLOUD 3D CONVERSION METHOD, VEHICLE ATTITUDE OUTPUT PROGRAM, AND POINT CLOUD 3D CONVERSION PROGRAM

    公开(公告)号:US20220163672A1

    公开(公告)日:2022-05-26

    申请号:US17430322

    申请日:2020-01-31

    Abstract: An object of the present disclosure is, in performing three-dimensionalization of an object point cloud by a laser or a radar, to reduce an amount of calculation in the axial direction of three-dimensional space coordinates, into which the object point cloud is to be mapped, while increasing accuracy in the three-dimensionalization of the object point cloud. The present disclosure calculates an absolute value of a difference between vehicle attitude data with a high sampling frequency and vehicle attitude data with a low sampling frequency. When the absolute value of the difference is small, the vehicle attitude data with the high sampling frequency is decimated and the vehicle attitude data with the low sampling frequency is outputted, to thereby reduce the amount of calculation in the axial direction of the three-dimensional space coordinates, into which the object point cloud is to be mapped. On the other hand, when the absolute value of the difference is large, the vehicle attitude data with the high sampling frequency is outputted to increase the accuracy in the three-dimensionalization of the object point cloud. Finally, the object point cloud is three-dimensionalized based on the data of vehicle attitude and data of the object point cloud.

    DETECTION DEVICE, DETECTION METHOD AND DETECTION PROGRAM FOR LINEAR STRUCTURE

    公开(公告)号:US20220327779A1

    公开(公告)日:2022-10-13

    申请号:US17634595

    申请日:2019-08-19

    Abstract: An object of the present disclosure is to provide a technique for creating a three-dimensional model of a line-like structure from a point cloud obtained using three-dimensional laser measuring equipment and detecting a three-dimensional model of a cable. A detection apparatus according to the disclosure includes a point cloud data input unit 12 that reads point cloud data where a structure that is present in a three-dimensional space is represented by a point cloud that is present in the three-dimensional space, a rule-based three-dimensional model generation unit 15 that combines linearly disposed point clouds into a group and generates a three-dimensional model of a line-like structure using a direction vector configured with point clouds included in the group, a machine learning-based three-dimensional model generation unit 14 that generates a three-dimensional model of a line-like structure based on a database that links point clouds and line-like structures, and a three-dimensional model merging unit that selects one of a plurality of three-dimensional models of line-like structures generated at an identical position in the three-dimensional space as a three-dimensional model of a line-like structure that is present in the three-dimensional space and merges three-dimensional models of the line-like structures that are present in the three-dimensional space.

    BENDING ESTIMATION DEVICE, BENDING ESTIMATION METHOD, AND PROGRAM

    公开(公告)号:US20210003390A1

    公开(公告)日:2021-01-07

    申请号:US16977868

    申请日:2019-02-28

    Abstract: Even when a missing portion occurs in a solid data set on a columnar structure, an estimator for a deflection value and an accuracy of the deflection value are correctly estimated according to an extent of the missing portion and the like. A measurement accuracy estimation unit (15) is included that: calculates a deflection of a columnar structure and an extent of a missing portion, from a solid data set on the columnar structure; calculates an accuracy assessment indicator for the deflection that is acquirable when a plurality of missing portion patterns occur on a virtual basis, based on a plurality of solid data sets in each of which the calculated extent of the missing portion is smaller than a preset threshold value, the accuracy assessment indicator being calculated for each missing portion pattern; and calculates an accuracy of the deflection calculated from the solid data set, based on the calculated accuracy assessment indicator for each missing portion pattern, and based on the calculated extent of the missing portion in the solid data set.

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