126 results about "3d localization" patented technology

A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

A method for facilitating a medical or surgical procedure in an operating site in a body of a patient may involve: displaying a first point on a first two-dimensional image of the operating site into which an elongate, flexible catheter device is inserted in response to a first user input; mapping the first point on at least a second two-dimensional image of the operating site, the second two-dimensional image being oriented at a non-zero angle with respect to the first two-dimensional image; displaying a first line on the second image that projects from the first point; displaying a second point on the second image in response to a second user input; and determining a three-dimensional location within the operating site, based on the first line and the second point on the second image.

Systems for determining a size, extent, and orientation of a hydraulic fracture of a reservoir, are provided. An exemplary system can include a plurality of RFID transponders modified to include an acoustic transmitter, and an RFID reader modified to include both an RF transmitter and a pair of acoustic receivers, to be deployed in a wellbore adjacent a hydraulic fracture. The system includes program product configured to receive acoustic return signal data to determine the three-dimensional location of each RFID transponder within the reservoir, to map the location of each RFID transponder, and to responsively determine the size, extent, and orientation can be determined.

The device includes:

• • an input unit (4) for receiving image data obtained by capturing images of an object by imaging units (C1 to C3); and
  • an arithmetic unit (1) that performs:
  • 1) finding a three-dimensional reconstruction point set that contain three-dimensional position information of segments obtained by dividing a boundary of the object in the image data, and a feature set that contain three-dimensional information regarding vertices of the segments, for each of multiple pairs of two different images;
  • 2) calculating a total three-dimensional reconstruction point set and a total feature set by totaling the three-dimensional reconstruction point sets and the feature sets of the multiple pairs; and
  • 3) matching a model feature set regarding model data of the object with the total feature set, thereby determining, among the total three-dimensional reconstruction point set, points corresponding to model points of the object.

A non-destructive approach for the 3D localization of buried hot spots in electronic device architectures by use of Lock-in Thermography (LIT). The 3D analysis is based on the principles of thermal wave propagation through different material layers and the resulting phase shift/thermal time delay. With more complex multi level stacked die architectures it is necessary to acquire multiple LIT results at different excitation frequencies for precise hot spot depth localization. Additionally, the use of multiple time-resolved thermal waveforms, measured in a minimized field of view on top of the hot spot location, can be used to speed up the data acquisition. The shape of the resulting waveforms can be analyzed to further increase the detection accuracy and confidence level.

An object positioning solves said problems encountered in machine vision, which employs electro-optic (EO) image sensors enhanced with integrated laser ranger, global positioning system/inertial measurement unit, and integrates these data to get reliable and real time object position. An object positioning and data integrating system comprises EO sensors, a MEMS IMU, a GPS receiver, a laser ranger, a preprocessing module, a segmentation module, a detection module, a recognition module, a 3D positioning module, and a tracking module, in which autonomous, reliable and real time object positioning and tracking can be achieved.

A cardiac magnetic field diagnostic apparatus for evaluating intracardiac three-dimensional localization of a myocardial injury by means of cardiac magnetic field measurement and a three-dimensional localization evaluating method of myocardial injury are disclosed. A magnetic field distribution measuring instrument (1) creates magnetic field distribution data by contactless magnetic field measurement on coordinates on the breast of a subject. An arithmetic operation unit (2) computers intracardiac three-dimensional current density distribution data from the magnetic field distribution data, draws a magnetic field integral cubic diagram as a cardiac contour cubic diagram according to the three-dimensional current density distribution data, creates data to draw the three-dimensional distribution of the QRS difference, the T-wave vector, or the RT dispersion of the same subject according to the three-dimensional current density distribution data, and reconstructs it on the cardiac contour. With this, evaluation of three-dimensional localization of a myocardial injury is possible.

Unlike existing methods for three-dimensional seed reconstruction, the proposed method uses raw tomography data (sinograms) instead of reconstructed CT slices. The method is for three-dimensional reconstruction of an object inserted in a living or non-living body. It comprises obtaining raw tomography data for an area of the body where the object is inserted; detecting a trace of the object in the raw tomography data, by extracting points from the trace; and estimating at least one of a position and an orientation of the object using the points and a known shape of a trace of the object in the raw tomography data.

Methods and systems for surface-free pointing and/or command input include a computing device operably linked to an imaging device. The imaging device can be any suitable video recording device including a conventional webcam. At least one pointing/input device is provided including first and second sets of visible point light sources, wherein the first and second sets emit differently colored light. The imaging device captures one or more sequential image frames each including a view of a scene including the first and second sets of visible point light sources. One or more software programs calculate a position and/or a motion and/or an orientation of the pointing/input device in the captured image frames by identifying colored areas corresponding to the first set of aligned visible point light sources. Certain activation patterns of individual point light sources are mapped to particular pointing and/or input commands.

Various embodiments provide a non-collimated 3D localization technique to detect an unknown radioactive source in a medium material using a plurality of detectors. 3D position information (x, y, z), and strength of the unknown radioactive source(s) can be determined by a comparison or a data fit between the measured detector responses with a mapping of detector responses performed with known calibration radioactive source(s). The non-collimated 3D localization technique can be used to extract lateral and depth position of contaminations in soil, concrete, or metal, to aid in monitoring and localizing radiation for nonproliferation and prevent smuggling of nuclear materials, and/or to detect and localize radioactive source(s) in medical or non-medical purposes.

The invention discloses a laser-based automatic container grabbing system and method on a container truck lane. The system comprises a controller, a 3D laser scanner, an industrial personal computer and an LED display screen, wherein the 3D laser scanner, the industrial personal computer and the LED display screen are connected with the controller. The industrial personal computer is connected with the 3D laser scanner, and the controller is connected with a cart PLC control system. The outline of the center section of a container truck is scanned through the 3D laser scanner, the outline datapair of the center section of the container truck is obtained, container truck alignment guide information is calculated and obtained through the controller and is sent to the LED display screen andrapid and accurate alignment of the container truck is convenient; and through high-precision outline scanning of the 3D laser scanner and calculation of the industrial personal computer, high-precision three-dimensional locating information of the container truck is obtained and is sent to the cart PLC control system, the postures and positions of a trolley and a lifting tool can be adjusted conveniently, and it is ensured that the lifting tool can automatically grab containers safely and accurately.

The invention relates to the field of object three-dimensional positioning methods, and particularly relates to a pixel-level target positioning method based on laser and monocular vision fusion. Themethod comprises the steps of firstly, mounting a camera and a laser ranging module; constructing a coordinate system, calibrating the distance measurement relative positions of the monocular camera and the laser ranging module to obtain calibration parameters, acquiring an environment image through the monocular camera, and then carrying out preprocessing, determining pixel coordinates of a to-be-positioned target; then driving an actuating mechanism through e PID feedback control to drive the laser ranging module to rotate to acquire data and perform calculation; and finally, driving the laser ranging module to accurately shoot a ranging light spot to a target position, acquiring data, and achieving target positioning through calculation. The method is low in computing resource consumption, capable of guaranteeing real-time performance under the condition of limited computing power of the mobile terminal, high in precision, wide in range and capable of improving the operation range of the intelligent autonomous operation equipment, has a certain cost advantage, reduces the use threshold, and is beneficial to technical popularization and application.

The invention discloses a three-dimensional positioning method and device. The method includes the following steps that: APs of which the RSSI values are greater than a certain threshold value are selected as positioning APs, and when the positioning APs are increased as much as possible, errors are decreased; with every three APs adopted as a reference site point set, a reference site point set assembly is generated according to the selected AP; APs which are not located on a plane defined by the reference site point sets are searched in each reference site point set; reference site coordinates are calculated according to the reference site point sets and the APs which are not located on the plane of the reference site point sets, namely, four APs which are not located on the same plane are adopted to perform coordinate calculation; and positioning coordinates can be obtained according to the reference site coordinates which are obtained through calculation. With the three-dimensional positioning method and device adopted, the problem that just two-dimensional plane coordinates can be obtained in the prior art can be solved. According to the three-dimensional positioning method and device of the invention, the plurality of reference site coordinates can be obtained through utilizing the plurality of obtained reference site point sets, and the positioning coordinates can be obtained according to the reference site coordinates, and therefore, system errors and computing errors can be decreased, and the accuracy of three-dimensional positioning can be improved.

The invention is suitable for the technical field of wireless positioning, and provides a distance measurement positioning method and device, and the method comprises the steps of obtaining a group ofdistance data between a label and each of at least three base stations; establishing a corresponding three-dimensional coordinate mathematical model according to the three-dimensional coordinate dataof each base station and the corresponding preprocessed group of distance data, so as to generate a corresponding number of three-dimensional coordinate mathematical models according to the number ofthe base stations; carrying out linear conversion of a nonlinear equation set on the plurality of generated three-dimensional coordinate mathematical models; and iteratively calculating a three-dimensional positioning value and an iterative error value of the label according to the linear equation set and a preset iterative initial value, wherein the preset iterative initial value is an initial coordinate value of the label. By processing the distance data and optimizing the distance algorithm, compared with a traditional positioning calculation mode, the method of the invention has higher positioning precision.

The invention discloses an intraoperative preset area positioning method and device, a storage medium and electronic equipment, and the method comprises: obtaining a medical three-dimensional image ofa preset area, and carrying out the extraction of an ROI (region of interest) of the medical three-dimensional image; acquiring a plurality of two-dimensional projection plain films with different angles of the ROI in an operation; generating an ROI and an area mask corresponding to each two-dimensional projection plain film according to the plurality of two-dimensional projection plain films with different angles, the medical three-dimensional image and the deep learning network model; and performing three-dimensional space mapping on the region masks of the ROI in the plurality of two-dimensional projection plain films with different angles and the plurality of two-dimensional projection plain films with different angles, and generating three-dimensional positioning information of the ROI in the operation so as to position a preset region. According to the intraoperative preset area positioning method and device, the storage medium and the electronic equipment, accurate three-dimensional positioning can be achieved, the problem that in the prior art, the dosage of conventional operation positioning is too high is solved, and the requirement for accurate, convenient and efficientpositioning in an operation is met.

The invention discloses a UWB and iBeacon based intelligent management system capable of high-precision three-dimensional positioning. A UWB technology and an iBeacon technology are seamless integrated and a GIS geographic information system and video monitoring system are combined so as to realize three-dimensional positioning and trajectory playback of a moving target, visual command and scheduling, three-dimensional display of a positioning scene, high-risk area reminder, dynamic roll call, video linkage and other functions. The intelligent management system combines the advantages of the two technologies, thereby improving the precision of the three-dimensional positioning, reducing the cost, improving the stability of the whole system, and realizing intelligent control in the true sense.

A head up display testing arrangement includes an optical instrument detecting an optical quality of a light field produced by a head up display projector. A rotatable support device is attached to and supports the optical instrument. A three-dimensional positioning assembly is attached to and supports the tiltable support device. The three-dimensional positioning assembly includes an x-axis linear drive module, a y-axis linear drive module, and a z-axis linear drive module. Each one of the x-axis linear drive module, the y-axis linear drive module, and the z-axis linear drive module translates the tiltable support device in a direction orthogonal to directions in which other two of the x-axis linear drive module, the y-axis linear drive module, and the z-axis linear drive module translate the rotatable support device. A rollable cart is attached to and supports the three-dimensional positioning assembly.

A method for high-resolution 3D localization microscopy, in which sample is used which has a boundary surface on the imaging side. The sample is illuminated with excitation light in order to excite fluorescence markers to emit light. The sample is imaged to a still image along an imaging direction, by means of imaging optics. The still image contains images of the fluorescing fluorescence markers. The imaging optics has a focal plane and an optical resolution. The excitation and imaging steps are repeated multiple times so that multiple still images are obtained. The excitation steps create images of at least a subset of the fluorescing fluorescence markers isolated in each of the still images. A location is determined in each of the still images and this location has a precision which is greater than the optical resolution. A high-resolution composite image is generated from the locations determined in this manner.

The invention discloses an indoor three-dimensional positioning improved algorithm based on a least square method, and the algorithm comprises the following steps: setting n fixed base stations and ato-be-solved mobile label node indoors, wherein the number of the base stations is at least four; establishing a spatial three-dimensional coordinate system by taking an indoor point as an original point; obtaining three-dimensional coordinates (xi, yi, zi) of the n base stations and the distance between each base station and the label node in an ultra wide band UWB communication mode; solving three-dimensional coordinates of the label nodes by using a least square method; and according to the solved three-dimensional coordinates of the label node, reserving the two-dimensional coordinates ofthe plane, and re-optimizing and calculating the horizontal height value of the label node. The horizontal height value is optimized and improved on the basis of the existing least square method, thedependence of the least square method on the three-dimensional geometric layout of the base station is reduced, the three-dimensional positioning precision is improved, and the positioning effect is stable.