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.

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.

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.

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.

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.

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.

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.