G01C11/025

MEASUREMENT METHOD, MEASUREMENT SYSTEMS AND AUXILIARY MEASUREMENT INSTRUMENTS

A method and device for displaying desired positions in a live image of a construction site. The method mat include recording at least one position-referenced image of the construction site; linking at least one desired position to the position-referenced image; storing the position-referenced image together with desired position linkage in an electronic memory; recording a live image of the construction site, in particular in the form of a video, wherein the live image and the position-referenced image at least partially represent an identical detail of the construction site; retrieving the stored position-referenced image from the memory; fitting the position-referenced image with the live image, so that the desired position linked to the position-referenced image can be overlaid in a position-faithful manner on the live image; and position-faithful display of the desired position as a graphic marking in the live image.

Handheld three dimensional scanner with an autoaperture

A three-dimension scanning apparatus and method of use is disclosed. The system includes a light intensity meter for measuring a level of light intensity at a first camera of the 3D scanning apparatus. The first camera has an adjustable aperture. A processor is provided that is configured to adjust the adjustable aperture of the first camera automatically based on the measured light level.

Scanning range setting method and survey system for the method
11340068 · 2022-05-24 · ·

Provided is a scanning range setting method using a surveying instrument configured to measure a distance to a measurement point by using a distance measuring light and measure an angle to the measurement point, and a scanner configured to scan with a scanning light around a rotation axis to acquire three-dimensional point group data. The method includes steps of: (A) measuring a distance to one or more measurement points by the surveying instrument, (B) storing coordinates and angles of the measurement points, (C) automatically setting an area including all of the measurement points as a scanning range by the scanner, and (D) scanning the scanning range by the scanner, wherein a coordinate system of the scanner and a coordinate system of the surveying instrument match each other.

INFORMATION PROCESSING APPARATUS, IMAGE CAPTURE APPARATUS, IMAGE PROCESSING SYSTEM, AND METHOD OF PROCESSING A PLURALITY OF CAPTURED IMAGES OF A TRAVELING SURFACE WHERE A MOVEABLE APPARATUS TRAVELS
20220159229 · 2022-05-19 · ·

An information processing apparatus includes an acquisition unit configured to acquire a plurality of captured images of a traveling surface where a movable apparatus travels, each of the captured images including distance information in a depth direction transverse to the traveling surface, the plurality of captured images having been captured using a plurality of stereo image capture devices, and an image processing unit configured to stitch together the plurality of images of the traveling surface captured by the plurality of stereo image capture devices by identifying partially overlapping portions of one or more pairs of the images captured by respective stereo image capture devices which are adjacent in a width direction of the traveling surface.

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.

Method and arrangement for providing a 3D model

The present invention relates to a method and an arrangement for providing a 3D model of an environment. The method comprises the step of forming a mesh modelling the environment in three dimensions, said mesh comprising nodes interconnected by edges and having surfaces boarded by the edges, wherein each node is associated to a 3D coordinate in a geographical coordinate system, determining for a plurality of the nodes and/or surfaces and/or edges in the mesh a mesh uncertainty and associating the determined mesh uncertainty to the corresponding node and/or surface and/or edge.

Survey system
11333764 · 2022-05-17 · ·

The survey system includes a mobile body equipped with a scanner configured to perform scanning by a distance measuring light, a position measuring device configured to measure a position of the scanner, and a posture detecting device configured to detect a posture of the scanner, the posture detecting device includes an imaging unit configured to periodically acquire image data, a 3-axis angular velocity sensor configured to detect 3-axis posture angles of the scanner, and an arithmetic control unit, and the arithmetic control unit is configured to calculate posture information of the scanner by summing photographing-time 3-axis posture angles (SP0, SP1, SPn) of the scanner acquired in each photographing by image analysis of the image data, and 3-axis posture relative displacement angles of the scanner calculated from detection values of the 3-axis angular velocity sensor.

Method and system to generate updated map data for parallel roads
11333505 · 2022-05-17 · ·

A system, a method, and a computer program product for generating updated map data are provided. The method comprises obtaining map data of a speed sign associated with a plurality of parallel roads, determining one or more effective links associated with the speed sign, based on the map data of the speed sign, determining first vehicle sensor data corresponding to the one or more effective links, and generating a speed index for each of the one or more effective links based on the first vehicle sensor data The method further comprises generating the updated map data based on the speed index for each of the one or more effective links.

Apparatus and method for fault-proof collection of imagery for underwater survey
11733041 · 2023-08-22 · ·

An apparatus and method are presented comprising one or more sensors or cameras configured to rotate about a central motor. In some examples, the motor is configured to travel at a constant linear speed while the one or more cameras face downward and collect a set of images in a predetermined region of interest. The apparatus and method are configured for image acquisition with non-sequential image overlap. The apparatus and method are configured to eliminate gaps in image detection for fault-proof collection of imagery for an underwater survey. In some examples, long baseline (LBL) is utilized for mapping detected images to a location. In some examples, ultra-short baseline (USBL) is utilized for mapping detected images to a location. The apparatus and method are configured to utilize a simultaneous localization and mapping (SLAM) approach.

Automated surveying of real world objects

A method for automatic surveying of a real word object by a surveying or metrology instrument. It comprises an acquiring of a picture by the surveying or metrology instrument, which picture is comprising the real world object to be surveyed, and an automatic detecting and classifying of the detected real world object to be surveyed in the picture, and also an automatic surveying of the detected real world object by the surveying or metrology instrument for determining a location and/or a geometrical property of the real world object. The automatic detecting and classifying is done with a classifier based on data acquired by machine learning, which machine learning is based on machine learning training data derived from a virtual digital 3d-model which is representing the real world object and which comprises meta information of this 3d-model.