201 results about "3d positioning" 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.

A system and process is provided for dynamically positioning or repositioning a robot in a surgical context based on workspace and task requirements, manipulator requirements, or user preferences to execute a surgical plan. The system and method accurately determines and indicates an optimal position for a robot with respect to a patient's anatomy before or during a surgical procedure. Optimal positions for a robot are intuitively indicated to a user, surgical procedures can illustratively include surgery to the knee joint, hip joint, spine, shoulder joint, elbow joint, ankle joint, jaw, a tumor site, joints of the hand or foot, and other appropriate surgical sites.

A precise 3D position-finding system and method comprises at least the following elements: a set of beacons working on the basis of differential global positioning satellites (DGPS), the beacons being connected to one another and temporally synchronized, spread-spectrum radio means between the members of the network whose position is to be located and said beacons, and a computation station. The computation station is provided with a processor adapted to finding the position of one or more elements from a list of direct paths and/or multiple paths with the time and direction of arrival of each of the direct paths and/or multiple paths, and from the position of the beacons and in taking account of data that represents obstacles.

An audio user interface (UI) for comparing and selecting audio streams is presented. In general, the present invention allows a user to preview and navigate among multiple audio streams (audio sources) using three dimensional (3D) positional audio techniques to position the various sources in an audio field programmatically in such a way as to fool the brain into thinking the sound is located at a particular location in the space surrounding the user. When the user selects a preview mode, the various streams are placed in the space in a carousel-like manner. The user can move the sources forward or backward. As this is done, other audio streams can be added and dropped. Selecting a sound source will cause it to fill the audio field and the other sources will then cease to play.

A positioning apparatus for a wireless ad-hoc network that can measure distances between network nodes that are in range and connected to each other. The positioning apparatus can calculate 3D positions of some nodes using the distance values using a relative coordinate system, first by measuring distances to neighbored nodes, receiving and sending distance reports to/from neighbors, by second initially advantageously selecting the set of base nodes to which the coordinate system relates, and by calculating positions of the base nodes and other nodes in the network initially, and by third detecting movements in the network and by calculating positions of the moved nodes. The network can compensate for movements of the base nodes, select the base nodes in an advantageous way, and cope with sleeping nodes, with unreliable communication, and with fluctuating network topologies. Neighbor communication is used only if no node is sleeping.

The system and method uses a one or more pilot beacons to more accurately locate the position of an indoor mobile device. Modulation and level control of the co-pilot beacons provides a third dimension, z-axis, of positioning. An augmented Position Determining Entity (“aPDE”) can be used which does not modify the existing PDE in the network, and facilitates and ensures high-integrity information during a 2D to 3D positioning upgrade.

The invention discloses an ultrasonic probe scanning system and method for remote control. The system comprises a patient end device and a doctor end device, wherein the patient end device comprises a patient end computer, a depth camera, a 3D moving platform, a mechanical arm and an ultrasonic probe, the patient end computer is connected with the depth camera, the mechanical arm is arranged on the 3D moving platform, and the ultrasonic probe is arranged at the front end of the mechanical arm; the doctor end device comprises a virtual probe, a 3D positioning device, a position sensor and a doctor end computer, and the position sensor is arranged on the virtual probe; a doctor end is connected with a patient end through a network. The ultrasonic probe scanning system is applied to remote control for the first time, the defect that in a traditional medical diagnosis process, a patient cannot see a doctor in time because the doctor and the patient are located at two different places is overcome, and therefore the system and method have great medical application value and prospects.

The invention discloses a 3D vehicle detection method based on multi-sensor fusion, and the method comprises the steps: Step 1, obtaining the semantic information (i.e., an RGB image) of a vehicle through a camera installed on the vehicle, carrying out the scanning of the surrounding environment of the vehicle through a laser radar located at the top of the vehicle, and obtaining the precise depthinformation (i.e., laser radar point cloud) of the environment; Step 2, preprocessing the laser radar point cloud, taking Z-axis [0, 2.5] m according to the height of the automobile, and equally dividing the point cloud into five height slices along the Z-axis direction; Step 3, generating a 3D vehicle region of interest on the laser radar point cloud; Step 4, performing feature extraction on theprocessed radar point cloud and RGB image and generating corresponding feature maps; Step 5, respectively mapping the 3D vehicle region of interest to feature maps of the point cloud and the RGB image; and Step 6, fusing the feature maps of the mapping part in the step 5, and finally realizing 3D positioning and detection of the vehicle target.

The invention belongs to the technical field of security and protection monitoring and provides a 3D positioning method based on a PTZ surveillance camera. The method comprises the steps of acquiring a live-action video picture shot by the PTZ surveillance camera, setting the size of an interested area and the scaling method; acquiring the two-dimensional physical coordinates of a target center point on an imaging plane of an image sensor and the horizontal included angle and vertical included angle, relative to the target center point, of the optical axis of the PTZ surveillance camera, adjusting a camera PTZ motor correspondingly according to the horizontal included angle and vertical included angle, and calculating scaling according to the set size of the interested area and scaling method and controlling a lens of the camera to zoom correspondingly to obtain a high-resolution image of the interested area. According to the method, the 3D coordinate fast conversion algorithm is adopted, direction positioning of the interested area is achieved, and the high-resolution image of the interested area can be acquired accurately and quickly.

An apparent need exists for compact devices to ergonomically support such items as laptop computers and keyboards. The AirDesk® desk/stand design positions such items with full 3D positioning using all 6 directions of adjustment. Each direction of motion has the correct friction and range of motion for easy and secure re-positioning. Unique accessory shelves and cup holder may be attached to the device frame. A unique, flat, very thin, trip-free base provides unparalleled positioning flexibility of the unit, furniture legs may be placed directly on the base sheet. Additionally, a unique universal and quickly installed folding frame for an automobile or truck seat is provided for supporting the AirDesk positionable tray in a vehicle. AirDesks allow computing from any chair, recliner, sofa, bed, while standing or in a vehicle. The unique trip-free base may also be used for such applications as supporting medical equipment and crowd control stanchions.

The invention discloses a single person positioning navigator based on multi-sensor fusion and a positioning and navigating method. The single person positioning navigator comprises a global satellite positioning system, a barometer, a three-axis gyroscope, a three-axis accelerometer and three-axis geomagnetic sensors. Attitude angle information obtained through the gyroscope, position information obtained through the accelerometer, human body course information provided by the geomagnetic sensors, height information provided by the barometer, stride frequency information worked out by the accelerometer, and position and speed information provided by the global satellite positioning system are input into a kalman filter together, multi-information fusion is carried out through a kalman filter algorithm, and thus positioning and navigating parameters are output. Even when the global satellite positioning system cannot stably receive information due to shielding, electromagnetic interference and other factors, the single person positioning navigator based on multi-sensor fusion and the positioning and navigating method can achieve effective positioning and navigating and are suitable for various environments such as inside rooms or inside tunnels. By means of the single person positioning navigator based on multi-sensor fusion and the positioning and navigating method, positioning errors accumulated along with time can be reduced, and accurate individual 3D positioning can be achieved.

A computerized 3D locating device and method for X ray and target object is characterized by that the X-Y planar image generated by using X ray to radiate the target object (such as calculus) in human body and the 3D position data from position sensor and mathematically analyzed by computer and the calculated result can control the electric driver to move for automatically coinciding said target object with the focus point of therapeutic equipment. Its advantages are high speed, and less damage of X ray to people.

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.

Systems and methods according to the present invention address these needs and others by providing a structure for navigating in a GUI with a handheld device, e.g., a 3D pointing device, which incorporates buttons and a scroll wheel.

The invention discloses a CDMA modulation based 3D positioning method of VLC. Multiple reference point light sources exist in a traditional visible light indoor positioning system, intersymbol interference is caused among the reference point light sources due to different transmission paths, and the precision of indoor positioning is influenced greatly. Optical signals which are overlapped in both time domain and frequency domain originally can be separated by utilizing orthogonality of spread spectrum coding. A positioning position area is determined according to ID position information obtained by a positioning terminal, and the coordinate of a positioning position is determined according to a light intensity attenuation factor of a reception end by utilizing an RSS triangular positioning algorithm. Compared with the traditional VLC positioning technology, the positioning precision is improved, the system is simple and stable and does not need synchronous emission, and the system has a wide application prospect.

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.

The invention discloses a 3D curve welding seam autonomous demonstration method for a welding robot based on linear structure light perception. The 3D curve welding seam autonomous demonstration method comprises the steps that relevant parameters are determined and scanned, and an orderly point cloud model of a weldment is generated in a scanned mode; the orderly point cloud model of the weldmentis subjected to preprocessing filtering; then, feature extracting and positioning are conducted on the cross section of a welding seam, corresponding welding seam point pose coordinate systems are obtained, and a welding seam point pose coordinate system sequence is formed; the welding seam point pose coordinate system sequence is combined with welding operation technological parameters to form awelding gun pose coordinate system sequence; and a robot welding operation motion path is generated according to the welding gun pose coordinate system sequence. The 3D curve welding seam autonomous demonstration method has the 3D welding seam feature extracting and modeling capabilities, precise 3D positioning of a complex space curve welding seam is achieved, demonstration intelligent programming of welding of small-batch, multi-variety and nonstandard workpieces can be achieved, the welding precision and quality are improved, and the 3D curve welding seam autonomous demonstration method hasquite important economic value and application prospects in the field of application of welding robots.