Vegetation management system includes: a data acquisition unit that acquires input data including remote sensing data obtained by photographing, by remote sensing, a facility and vegetation to be analyzed; a vegetation classification unit that classifies the vegetation photographed in the remote sensing data; a wide-area growth prediction unit that predicts a time-series change of a growth range of the vegetation photographed in the remote sensing data; a vegetation amount simulation unit that predicts a fluctuation in the growth amount of each vegetation by a simulation; a three-dimensional construction unit that constructs a three-dimensional model expressing the facility and the vegetation; and a risk determination unit that determines a contact risk indicating a contact possibility between the facility and the vegetation.

Vegetation management system includes: a data acquisition unit that acquires input data including remote sensing data obtained by photographing, by remote sensing, a facility and vegetation to be analyzed; a vegetation classification unit that classifies the vegetation photographed in the remote sensing data; a wide-area growth prediction unit that predicts a time-series change of a growth range of the vegetation photographed in the remote sensing data; a vegetation amount simulation unit that predicts a fluctuation in the growth amount of each vegetation by a simulation; a three-dimensional construction unit that constructs a three-dimensional model expressing the facility and the vegetation; and a risk determination unit that determines a contact risk indicating a contact possibility between the facility and the vegetation.

Visual-inertial odometry uses visual input from a camera and inertial motion measurements to track the motion of an object. This technique can be applied to surveying urban environments, such as a curb or streetscape, that are impractical to survey with a surveyor's wheel, GPS, or imagery from cars. Making visual-inertial odometry measurements of a curb with a handheld surveying device yields relative measurements from a starting point to an ending point on the curb. These relative measurements can be pinned to an absolute coordinate frame using measurements of gravity made while acquiring the visual-inertial odometry measurements and absolute measurements of the starting and ending points.

Visual-inertial odometry uses visual input from a camera and inertial motion measurements to track the motion of an object. This technique can be applied to surveying urban environments, such as a curb or streetscape, that are impractical to survey with a surveyor's wheel, GPS, or imagery from cars. Making visual-inertial odometry measurements of a curb with a handheld surveying device yields relative measurements from a starting point to an ending point on the curb. These relative measurements can be pinned to an absolute coordinate frame using measurements of gravity made while acquiring the visual-inertial odometry measurements and absolute measurements of the starting and ending points.

A method of calibrating a total station using a GNSS device includes physically coupling the total station with the GNSS device at a first location; determining the position of the total station at the first location based on position data received by the GNSS device; decoupling the total station from the GNSS device; moving the GNSS device to a second location while leaving the total station at the first location; determining the position of the GNSS device at the second location based on position data received by the GNSS device; adjusting the position of a camera on the total station to image the GNSS device while at the second location; determining axes of the camera based on the orientation of the camera and the determined positions at the first and second locations; and calibrating encoders of the total station based on the determined axes.

A method of calibrating a total station using a GNSS device includes physically coupling the total station with the GNSS device at a first location; determining the position of the total station at the first location based on position data received by the GNSS device; decoupling the total station from the GNSS device; moving the GNSS device to a second location while leaving the total station at the first location; determining the position of the GNSS device at the second location based on position data received by the GNSS device; adjusting the position of a camera on the total station to image the GNSS device while at the second location; determining axes of the camera based on the orientation of the camera and the determined positions at the first and second locations; and calibrating encoders of the total station based on the determined axes.

To provide a novel and improved information processing device that can make more efficient an inspection performed by a flying body capable of performing imaging.

Provided is an information processing device including an imaging position information acquisition unit configured to acquire imaging position information at a time when a structure is imaged which is acquired by an imaging device configured to fly over a periphery of die structure to image the structure on the basis of certain flight information, and a damage data generating unit configured to use a captured image of the structure imaged by the imaging device and the imaging position information and to generate data related to damage of the structure including position information of damage of the structure included in the captured image.

To provide a novel and improved information processing device that can make more efficient an inspection performed by a flying body capable of performing imaging.

Provided is an information processing device including an imaging position information acquisition unit configured to acquire imaging position information at a time when a structure is imaged which is acquired by an imaging device configured to fly over a periphery of die structure to image the structure on the basis of certain flight information, and a damage data generating unit configured to use a captured image of the structure imaged by the imaging device and the imaging position information and to generate data related to damage of the structure including position information of damage of the structure included in the captured image.

An optical measurement and calibration method for a pose based on three linear array charge coupled devices (CCD) assisted by two area array CCDs includes the following steps: step 1: preparing devices, and determining cooperative targets, namely three red light-emitting diode (LED) light dots; step 2: arranging measuring devices; step 3: configuring a cylindrical lens of a linear array CCD camera with a cylindrical mirror and an optical filter; and step 4: measuring through a fast capture process, a coarse adjustment calculation process, a fine adjustment calculation process, and a calibration process till coordinates are obtained by means of a fine adjustment. According to the present disclosure, an optical lens based on a telecentric optical path in an image space can fulfill a large field of view (FOV), an extended depth of field (DOF), and low distortion of a system.

An optical measurement and calibration method for a pose based on three linear array charge coupled devices (CCD) assisted by two area array CCDs includes the following steps: step 1: preparing devices, and determining cooperative targets, namely three red light-emitting diode (LED) light dots; step 2: arranging measuring devices; step 3: configuring a cylindrical lens of a linear array CCD camera with a cylindrical mirror and an optical filter; and step 4: measuring through a fast capture process, a coarse adjustment calculation process, a fine adjustment calculation process, and a calibration process till coordinates are obtained by means of a fine adjustment. According to the present disclosure, an optical lens based on a telecentric optical path in an image space can fulfill a large field of view (FOV), an extended depth of field (DOF), and low distortion of a system.