Abstract:
In order to detect possible damage to a delivered product, a set of first images of the product is created prior to delivery which are used to generate a first 3D photogrammetry model, and a set of second electronic images are created after delivery which are used to generate a second 3D photogrammetry model. The two models are then compared to determine whether there is a sufficient deviation to conclude the product has been damaged. The comparison is performed by a cognitive system trained with samples of before/after photogrammetry model pairs each associated with either a damaged condition or a not damaged condition. The baseline photogrammetry model is part of a blockchain record and the recipient photogrammetry model is added to the blockchain record. Intermediate photogrammetry models can also be built where there is more than one shipper along the delivery route to assign liability to the proper party.
Abstract:
A technique is provided to enable reduction in cost relating to installation of orientation targets in aerial photogrammetry. A survey data processing device includes a positioning data receiving unit, a relative orientation unit, an absolute orientation unit, and an adjustment calculation executing unit. The positioning data receiving unit receives positioning data obtained by tracking and positioning a reflective prism of an aerial vehicle by a total station. The aerial vehicle also has a camera. The relative orientation unit calculates relative exterior orientation parameters of the camera by relative orientation using photographed images taken by the camera. The absolute orientation unit provides a true scale to the relative exterior orientation parameters by absolute orientation using the positioning data and the relative exterior orientation parameters. The adjustment calculation executing unit corrects the relative exterior orientation parameters having the true scale, by using a positional relationship between the camera and the reflective prism.
Abstract:
A method of targeting a missile. A plurality of images of a target, taken from a plurality of viewpoints, are received. Features in the images characteristic of the target are identified. Data representing the characteristic features are provided to the missile to enable the missile to identify, using the characteristic features, the target in images of the environment of the missile obtained from an imager included in the missile.
Abstract:
A Method for generating scaled terrain information while operating a bulldozer. The bulldozer may include a driving unit comprising a set of drive wheels, a motor connected to at least one of the drive wheels, a blade for altering the surface of the terrain, at least one camera for capturing images of the environment, the camera being positioned and aligned in a known manner relative to the bulldozer, and a controlling and processing unit. A method may include moving the bulldozer while concurrently generating a set of image data by capturing an image series of terrain sections with the at least one camera so that at least two images of the image series cover an amount of identical points in the terrain, and either applying a simultaneous localization and mapping (SLAM) algorithm or a stereo photogrammetry algorithm to the set of image data and thereby deriving terrain data.
Abstract:
In one embodiment, an aerial collection system includes an image collection field vehicle that travels at street level and an image collection aerial vehicle that travels in the air above the street. The aerial vehicle collects image data including at least a portion of the field vehicle. The field vehicle includes a marker, which is identified from the collected image data. The marker is analyzed to determine an operating characteristic of the aerial vehicle. In one example, the operating characteristic in the marker includes information for a flight instruction for the aerial vehicle. In another example, the operating characteristic in the marker includes information for the three dimensional relationship between the vehicles. The three dimensional relationship is used to combine images collected from the air and images collected from the street level.
Abstract:
Method and system for mapping terrain including one or more roads includes a vehicle equipped with at least one camera, a position determining system that determines its position and an inertial measurement unit (IMU) that provides at least one inertial property of the vehicle, all of which are in a set configuration relative to one another. A processor at a remote location apart from the vehicle converts images from the camera(s) to a map including objects from the images by identifying common objects in multiple images and using the position information and the inertial measurement information from when the multiple images were obtained and knowledge of the set configuration of the camera(s), the position determining system and the IMU. The images, position information and inertial measurement information are transmitted to the processor by a communications unit on the vehicle.
Abstract:
In one embodiment, an aerial collection system includes an image collection field vehicle that travels at street level and an image collection aerial vehicle that travels in the air above the street. The aerial vehicle collects image data including at least a portion of the field vehicle. The field vehicle includes a marker, which is identified from the collected image data. The marker is analyzed to determine an operating characteristic of the aerial vehicle. In one example, the operating characteristic in the marker includes information for a flight instruction for the aerial vehicle. In another example, the operating characteristic in the marker includes information for the three dimensional relationship between the vehicles. The three dimensional relationship is used to combine images collected from the air and images collected from the street level.
Abstract:
A laser projection system for projecting an image on a workpiece includes a photogrammetry assembly and a laser projector, each communicating with a computer. The photogrammetry assembly includes a first camera for scanning the workpiece, and the laser projector projects a laser image to arbitrary locations. Light is conveyed from the direction of the workpiece to the photogrammetry assembly. The photogrammetry assembly signals the coordinates light conveyed toward the photogrammetry assembly to the computer with the computer being programmable for determining a geometric location of the laser image. The computer establishes a geometric correlation between the photogrammetry assembly, the laser projector, and the workpiece for realigning the laser image to a corrected geometric location relative to the workpiece.
Abstract:
Apparatus, systems, and methods are disclosed for tracking movement over the ground or other surfaces using two or more spaced apart cameras and an associated processing element to detect ground features in images from the cameras and determine tracking parameters based on the position of the detected ground features in the images.
Abstract:
Features of the surface of an object of interest captured in a two-dimensional (2D) image are identified and marked for use in point matching to align multiple 2D images and generating a point cloud representative of the surface of the object in a photogrammetry process. The features which represent actual surface features of the object may have their local contrast enhanced to facilitate their identification. Reflections on the surface of the object are suppressed by correlating such reflections with, e.g., light sources, not associated with the object of interest so that during photogrammetry, such reflections can be ignored, resulting in the creation of a 3D model that is an accurate representation of the object of interest. Prior to local contrast enhancement and the suppression of reflection information, identification and isolation of the object of interest can be improved through one or more filtering processes.