G01C11/025

Structural characteristic extraction using drone-generated 3D image data

A structural analysis computing device may generate a proposed insurance claim and/or generate a proposed insurance quote for an object pictured in a three-dimensional (3D) image. The structural analysis computing device may be coupled to a drone configured to capture exterior images of the object. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image, and a processor in communication with the memory and the object sensor. The processor may access the 3D image including the object, and analyze the 3D images to identify features of the object—such as by inputting the 3D image into a trained machine learning or pattern recognition program. The processor may generate a proposed claim form for a damaged object and/or a proposed quote for an uninsured object, and display the form to a user for their review and/or approval.

BALANCING COLORS IN A SCANNED THREE-DIMENSIONAL IMAGE
20180014002 · 2018-01-11 ·

A method of balancing colors of three-dimensional (3D) points measured by a scanner from a first location and a second location. The scanner measures 3D coordinates and colors of first object points from a first location and second object points from a second location. The scene is divided into local neighborhoods, each containing at least a first object point and a second object point. An adapted second color is determined for each second object point based at least in part on the colors of first object points in the local neighborhood.

LIGHT-EMITTING APPARATUS, CALIBRATION COEFFICIENT CALCULATION METHOD, AND METHOD FOR CALIBRATING CAPTURED IMAGE OF EXAMINATION TARGET ITEM
20180010767 · 2018-01-11 ·

Provided are a light-emitting apparatus that can suppress manufacturing cost to a low level and perform light emission with high uniformity using a simple configuration, a calibration coefficient calculation method using the light-emitting apparatus, and a method for calibrating a captured image of an inspection target object. A plurality of light-emitting diodes arranged at equal intervals on the circumference of a virtual circle, and a milky white-colored emission window, which is provided on a top surface portion separated from the light-emitting diodes, has an outer edge that is smaller than the circumference on which the light-emitting diodes are arranged, and allows light of the light-emitting diodes to pass therethrough, are included. The diameter of the virtual circle on which the light-emitting diodes are arranged and a separation distance between the light-emitting diodes and the emission window are set to predetermined distances.

DIMENSION MEASUREMENT METHOD AND DIMENSION MEASUREMENT DEVICE

A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.

Control device, control method, and computer program
11520334 · 2022-12-06 · ·

A vehicle control system includes at least one imaging device attached to a vehicle and that captures multiple images, and a control circuit that generates a composite image from the multiple images and displays the composite image on a display unit. The vehicle is operated according to a user operation on a portion of the display unit on which the composite image is being displayed.

Localization of a surveying instrument
11568559 · 2023-01-31 · ·

A method for surveying an environment by a movable surveying instrument configured to be carried by a human with a progressional capturing of 2D-images by at least one camera and applying a visual simultaneous location and mapping algorithm (VSLAM) or a visual inertial simultaneous location and mapping algorithm (VISLAM) with a progressional deriving of a sparse evolving point cloud of at least part of the environment, and a progressional deriving of a trajectory of movement. The method comprises a progressional matching of the sparse evolving point cloud with a known CAD-geometry, with a minimizing of a function configured to model a distance between the sparse point cloud and the known CAD-geometry and deriving a spatial localization and orientation of the surveying instrument. At least one surveying measurement value of the environment by a spatial measurement unit is combined with the sparse point cloud or the plan information.

User interface for displaying point clouds generated by a LiDAR device on a UAV

Techniques are disclosed for real-time mapping in a movable object environment. A system for real-time mapping in a movable object environment, may include at least one movable object including a computing device, a scanning sensor electronically coupled to the computing device, and a positioning sensor electronically coupled to the computing device. The system may further include a client device in communication with the at least one movable object, the client device including a visualization application which is configured to receive point cloud data from the scanning sensor and position data from the positioning sensor, record the point cloud data and the position data to a storage location, generate a real-time visualization of the point cloud data and the position data as it is received, and display the real-time visualization using a user interface provided by the visualization application.

HYPER CAMERA WITH SHARED MIRROR

An imaging system can include a first and second camera configured to capture first and second sets of oblique images along first and second scan paths, respectively, on an object area. A drive is coupled to a scanning mirror structure, having at least one mirror surface, and configured to rotate the structure about a scan axis based on a scan angle. The first and second cameras each have an optical axis set at an oblique angle to the scan axis and include a respective lens to focus first and second imaging beams reflected from the mirror surface to an image sensor located in each of the cameras. The first and second imaging beams captured by their respective cameras can vary according to the scan angle. Each of the image sensors captures respective sets of oblique images by sampling the imaging beams at first and second values of the scan angle.

Monitoring the operation of a work machine

A surveying device is operated to measure a surface profile of a terrain of a worksite and generate surface profile data indicative of the surface profile. A work machine is operated to move along a route over the terrain in accordance with an operating parameter and generates machine operational data indicative of the operating parameter. A navigation system determines the route and generates route data. A processing unit processes the route data, machine operational data and surface profile data to generate monitored operating condition data indicative of a monitored operating condition of the machine.

Artificial intelligence scan colorization

Provided are embodiments for a method for performing colorization of scans. The method includes analyzing a scanner, a scan of an environment to identify one or more patterns within the scan, and obtaining a subset of colorization data of the environment. The method also includes predicting colors for the one or more patterns in the scan based on the subset of colorization data, and assigning the predicted colors to the one or more patterns in the scan to generate a colorized scan. The method includes displaying the colorized scan, wherein the colorized scan combines the scan and the predicted colorization data by assigning the predicted colorization data to the one or more patterns in the scan. Also provided are embodiments for a system for performing the colorization of scans.