Abstract:
Disclosed is a stereophotogrammetric method based on binocular vision, including the following steps: image acquisition, image correction and stereo matching are performed; cost matching and cost aggregation are performed on images of different sizes after correction; image segmentation is performed on the corrected image to determine edge pixel points of the object to be measured; and a pixel distance at an edge of the object to be measured is calculated to measure the size of the object. The method of the present invention enhances the matching accuracy of contour pixels of the object to be measured and improves the measurement accuracy.
Abstract:
Read electrodes are provided to drain signal charge of pixels from photoelectric conversion units provided in the pixels separately to a vertical transfer unit. During a first exposure period during which an object is illuminated with infrared light, signal charge obtained from a first pixel, and signal charge obtained from a second pixel adjacent to the first pixel, are added together in the vertical transfer unit to produce first signal charge. During a second exposure period during which the object is not illuminated with infrared light, signal charge obtained from the first pixel, and signal charge obtained from the second pixel adjacent to the first pixel, are transferred without being added to the first signal charge in the vertical transfer unit, and are added together in another packet to produce second signal charge.
Abstract:
Using one or more patterned markers inside the projector module of a three-dimensional (3D) camera to facilitate automatic calibration of the camera's depth sensing operation. The 3D camera utilizes epipolar geometry-based imaging in conjunction with laser beam point-scans in a triangulation-based approach to depth measurements. A light-sensing element and one or more reflective markers inside the projector module facilitate periodic self-calibration of camera's depth sensing operation. To calibrate the camera, the markers are point-scanned using the laser beam and the reflected light is sensed using the light-sensing element. Based on the output of the light-sensing element, the laser's turn-on delay is adjusted to perfectly align a laser light spot with the corresponding reflective marker. Using reflective markers, the exact direction and speed of the scanning beam over time can be determined as well. The marker-based automatic calibration can periodically run in the background without interfering with the normal camera operation.
Abstract:
A graphics-aided geodesic device is provided. The device may include a display, camera, distance meter, GNSS (Global Navigation Satellite System, including GPS, GLONASS, and Galileo) receiver and antenna, and horizon sensors. Data from the camera and horizon sensors may be displayed to assist the user in positioning the device over a point of interest. In one example, the distance meter may be used to determine the position of the point of interest. In another example, images of the point of interest taken from multiple locations may be used to determine the position of the point of interest.
Abstract:
Embodiments relate to selecting textures for a user-supplied photographic image in image-based three-dimensional modeling. In a first embodiment, a computer-implemented method includes a method positioning a geographic structure using user-supplied photographic images of a geographic structure. In the method, a user-supplied photographic images inputted by a user are received. Embedded camera parameters that specify a position of the cameras when each user-supplied photographic image was taken and are embedded in each user-supplied photographic image are read. An estimated location of the geographic structure is automatically determined based on the embedded camera parameters in each user-supplied photographic image. Each user-supplied photographic image to be texture mapped to the three-dimensional model is enabled.
Abstract:
The present invention provides a geographical data collecting device, including a distance measuring unit 5 for projecting a distance measuring light and for measuring a distance to an object to be measured, an image pickup unit 3 for taking an image in a measuring direction, a display unit 6 for displaying an image picked up, a touch panel installed to match a position of screen of the display unit, a tilt sensor 11 for detecting a tilting in a measuring direction, an azimuth sensor 12 for detecting a horizontal angle in the measuring direction, and a control arithmetic unit 8, wherein the control arithmetic unit displays a scale to indicate horizontal and vertical lines on the display unit and controls the scale display so that the scale always indicates the horizontal and the vertical lines in the image based on a result of detection of tilting from the tilt sensor.
Abstract:
The invention relates to a calibration tool and a method for calibrating a laser-triangulation measuring system, wherein the calibration tool comprises a tool body that defines a reference plane and that is rotatable relative to the measuring system about a rotation axis perpendicular to said reference plane, wherein the tool body is provided with one or more calibration surfaces that define a pattern of calibration positions, wherein the pattern comprises at least three columns extending in a radial direction away from the rotation axis and at least three rows extending in a circumferential direction about the rotation axis, wherein for each column the calibration positions within said respective column vary in height relative to the reference plane in a height direction perpendicular to said reference plane and wherein for each row the calibration positions within the respective row vary in height in the height direction relative to the reference plane.
Abstract:
A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of subgraphs for incrementally improving the high-definition map for keeping it up to date
Abstract:
The present disclosure relates to a device for measuring distance using a camera. The camera is movably arranged on a camera holder. A controller is designed to control a movement of the camera, in particular in a stationary state of the device, in such a manner that the camera records at least two images in at least two positions. A computing device is designed to calculate and output the distance of the device from objects visible on the images based on the at least two images. Further, the present disclosure discloses a vehicle and a method.
Abstract:
The present invention provides a position measuring instrument, comprising a GPS position detecting device 7, an image pickup device 9 for continuously taking a digital image, a laser distance measuring device 8, and a measuring instrument main unit 2, wherein the GPS position detecting device measures positional data at a first point and a second point, the image pickup device continuously takes digital images on sceneries in surroundings during a process where the image pickup device moves from the first point, which is a known point, via the second point to a third point, which is an unknown point, the laser distance measuring device measures a distance to the object of image pickup in parallel to the image pickup by the image pickup device, and the measuring instrument main unit generates tracking point from the image obtained at the first point, sequentially identifies the tracking points from the tracing of points generated on the images to be acquired continuously, calculates three-dimensional positional data of the tracking points of the images acquired at the first point and the images acquired at the second point from the positional data at the first point and the second point, compares the result of calculation with the result of distance measurement by the laser distance measuring device, adopts the result of calculation within a predetermined limit of errors with respect to the measurement results as positional data of the tracking point, and calculates positional data of the third point from the positional data of the tracking point.