Nippon Telegraph and Telephone Corporation

Ryuji Honda

Hiroyuki Oshida

Yukihiro Goto

Masaaki Inoue

Takashi Goto

Shigehiro Matsuda

Tomoya Shimizu

Hitoshi Niigaki

Toshiya Ohira

Yoshiyuki Kajihara

Atsushi Sagata

Shingo Ando

Yasuhiro Yao

Kana Kurata

An object of the present invention is to provide an information processing apparatus, an information processing method, and a program, which are capable of determining an owner of an attachment attached to a facility using a solid model of a facility extracted from three-dimensional point group data. The present invention determines the owner of the attachment from a planar positional relationship between the solid model of a columnar structure and the solid model of the attachment in the solid model. For example, a distance between a utility pole and a center of a point (a center of a ground boundary) at which a branch line or a post reaches a ground is acquired, and whether the branch line or the post is owned by a communication company or an electric power company is determined based on whether the distance exists in a constant threshold determined by the communication company or the electric power company.

Information processing equipment, information processing methods, and programs

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 () 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 () estimates a central axis direction based on the point cloud cluster. A direction-dependent local effective length estimation unit () 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.

Point cloud analysis device, method, and program

A structure detection device according to an embodiment includes: a reading processing unit that reads, as three-dimensional point group data on an object present in a three-dimensional space, data including three-dimensional position information and color information at a point on a surface of the object; a filtering processing unit that performs filtering processing for extracting three-dimensional point group data on a detection-target structure from the three-dimensional point group data on the object present in the three-dimensional space based on the color information; and a generation processing unit that generates three-dimensional model data in which the detection-target structure is represented as a three-dimensional model based on the three-dimensional point group data on the detection-target structure, the three-dimensional point group data being extracted by the filtering processing unit.

Structure detection apparatus, structure detection method, and structure detection processing program

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 unitthat 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 unitthat 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 unitthat 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.

Detection device, detection method and detection program for linear structure

An object of the present invention is to provide a ground boundary estimation method, a ground boundary estimation apparatus, and a program that can acquire the elevation of the ground boundary of the electrical pole quickly and accurately even when the base of the electrical pole is shielded by any shield at observation of the electrical pole. According to the ground boundary estimation method of the present invention, a difference in height between the columnar shape of a three-dimensional model of a columnar object such as an observed electrical pole and a standard shape of the columnar object at a position in which the three-dimensional model and the standard shape are equal to each other in the horizontal dimension is determined, and a penetration depth prescribed by the standard is subtracted from the difference in height, to find a height of a shielded portion of the ground boundary of the columnar object.

Ground intersection estimating method, ground intersection estimating device, and program

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 () 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.

Bending estimation device, bending estimation method, and program

A columnar object state detection device according to an embodiment is a device for detecting a state of a columnar object including: an acquisition unit configured to acquire central axis data that is an array of coordinate values of center points of the columnar object in a horizontal direction at a plurality of predetermined heights of the columnar object; an approximation equation calculating unit configured to calculate a correction approximation equation for correcting the coordinate values of the central axis data acquired by the acquisition unit through curve fitting for the array of coordinate values of the central axis data acquired by the acquisition unit; and correction unit configured to correct the coordinate values of the acquired central axis data using the correction approximation equation calculated by the approximation equation calculating unit.

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Musashino, Japan

Ryuji Honda