95 results about "Point localisation" patented technology

The invention discloses a non-contact image measuring system, which comprises a worktable, a three-dimensionally movable camera, a laser displacement sensor and a triaxial grating bar and grating data acquisition card, wherein the camera and the laser sensor are connected with a Z-axis guide rail via a connection beam and vertically correspond to the worktable; and a servo motor can drive a slide block to move so as to enable the camera to vertically move up and down. The invention acquires images in the XY plane via the camera for plane survey, the height of each positioning point near the measured pixel is measured via the laser displacement sensor in the Z direction to work out the average value, and the distance of the camera needing to be moved when being focused is determined according to the average value, so the system can simply and quickly detect complex workpieces, increases the measurement efficiency, expands the scope of measurement and meets the measurement requirements on the images.

The invention provides an auxiliary positioning method of computer projection and the interactive demonstration system. The method is as follows. It is assumed that there is n anchor points (x1 ', y1 '), (x2 ', y2'),... (xn ', yn ') on the computer screen, corresponding to n projection points (x1, y1) and (x2, y2),... (xn, yn) on interactive projection screen. Once The n projection points are hit, and their coordinates information (x1, y1), (x2, y2),... (xn, yn) are transmitted to the computer. According to these information, all the parameters of the function p (x', y') = F (P (x, y)) are calculated, and then any operation points P (x, y) on interactive projection screen can be transformed into the anchor points p (x ', y ') on the computer screen. The system consists of interconnected computers, projectors and interactive projection screen. If the method is used for positioning projection coordinates, it would make beneficial effect to the distortion correction such as trapezoidal, pillow and nonlinear projection display images, and accurate information alternation between the interactive demonstration screen and the computer.

The invention discloses a trajectory data processing method, which comprises the following steps of: performing multi-level mesh generation on a road network according to the density of the road network to obtain a plurality of meshes, and encoding each mesh according to an encoding length corresponding to the area of a mesh region; obtaining track data to be processed, and encoding each positioning point contained in the track data; determining an affiliation grid and an adjacent grid of each positioning point, and extracting all candidate road sections of each positioning point from the affiliation grids and the adjacent grids to form a respective candidate road section set of each positioning point; calculating the matching degree of each positioning point and each candidate road section in the respective candidate road section set, and determining the road section matched with each positioning point according to the matching degree; and performing position association on each positioning point and the matched road section to correct the positioning points with misaligned positions in the track data, and completing the processing of the track data, thereby solving the problems of low accuracy of the track data and track data loss in the prior art.

The invention relates to a camera pose determining method. The method comprises a depth map obtaining step in which in a first position of a camera, a depth sensor is used to obtain a depth map of atleast three of 3D positioning points with known 3D coordinates in a space environment, the 3D positioning points form code points in the depth map, and the 3D positioning points form a point cloud inthe space environment; a sub cloud coordinate obtaining step in which the depth map is analyzed to identify the at least three 3D positioning points and obtain 3D coordinates, relative to the camera,of the at least three 3D positioning points, and the at least three 3D positioning points form a sub cloud; a matching step in which the at least three 3D positioning points in the sub cloud matches the point cloud to search the point cloud for 3D positioning points that match 3D positioning points in the sub cloud; and an initial pose determining step in which an initial pose of the camera in thefirst position in the space environment is obtained via rigid transformation between a coordinate system of the sub cloud and a coordinate system of the point cloud. The invention also relates to a camera pose determining device.

The invention discloses a positioning point screening method and system. The method includes the steps that a positioning point to be detected on a positioning curve is obtained; the ligature of the positioning point to be detected and a previous positioning point, and the ligature of the positioning point to be detected and a next positioning point are obtained, the direction angle difference between the two ligatures serves as a first detection angle, and whether the first detection angle is smaller than a preset first angle threshold value is judged; if the first detection angle is smaller than the first angle threshold value, the positioning point to be detected is deleted from the positioning curve. Real-time dynamic compression can be performed on the positioning points on the positioning curve. It is unnecessary to perform positioning point screening after all positioning points on the whole positioning curve are determined, data of the positioning points on the positioning curve are reduced in real time, and because only the positioning points slightly deviating from the direction of the original positioning curve are deleted, influences on accuracy of the positioning curve are small, and the positioning curve after screening is still accurate.

The invention relates to a method for positioning coordinates of magnetic resonance imaging based on direct linear transformation and singular value decomposition. According to the method, a computational process of a matrix of conversion relation between an MRI coordinate system and a coordinate system of an ultrasonic therapy system includes acquiring linear equations of positioning markers through transversal scanning by an ultrasonic probe, and removing the linear equation having the maximal error; acquiring planar equations of the upper and lower surface of the ultrasonic probe through lengthwise scanning by the ultrasonic probe; acquiring coordinates of 10 positioning points; computing a middle conversion matrix H of the MRI coordinate system and the coordinate system of an ultrasonic therapy system through direct linear transformation and singular value decomposition; orderly removing the ith point in the acquired 10 positioning points, and acquiring a corresponding middle conversion matrix Hi using the rest 9 positioning points; and removing two positioning points having the maximal errors, and computing a matrix T of conversion relation between the MRI coordinate system and the coordinate system of an ultrasonic therapy system. Compared with the prior art, the method is high in positioning precision.

The invention provides a method and device for positioning auto arrange of an object. The method comprises the following steps: generating a corresponding trajectory by selecting a trajectory in a footage library via a user or input information of the user; receiving positioning points and a position of a position mode for the selected object by the user on the trajectory, wherein the positioning mode comprises boundary point position or central point position; acquiring the boundary point or the central point of the object; and carrying out auto arrange position on the object on the trajectory in accordance with the positioning points and the positioning mode. In the invention, the positioning method for compiling the object is convenient and fast, and has the advantage of automation, and is used to improve accuracy ratio of position for the object.

The invention discloses an entrance and exit position determination method. The method can be applied to but not limited to the fields of maps, navigation, Internet of Vehicles, vehicle-road collaboration, instant messaging and the like. The method comprises the steps of obtaining K groups of positioning track data; determining a candidate positioning point set for the to-be-labeled building according to the K groups of positioning track data; performing clustering processing on the candidate positioning point set to obtain a target cluster; and determining the center position of the class cluster from the target cluster, and taking the center position of the class cluster as the entrance and exit position corresponding to the to-be-labeled building. The invention further discloses a device, equipment and a storage medium. According to the method and the device, the entrance and exit position of the building can be automatically excavated according to the positioning track data from the user positioning log without manual labeling, so that human resources are saved, and the cost of calibrating the entrance and exit position of the building is reduced.

The invention discloses an LTE fingerprint type positioning method based on a neural network. A more accurate positioning strategy is realized through an LTE system in combination with indoor fingerprint positioning processed by a neural network algorithm. The defect that positioning points based on fingerprint positioning are only discrete points is overcome, and positioning errors caused by transmission time and the like in conventional three-point positioning are reduced. The method comprises the following steps: (1) a data collection stage: collecting data by using USRP hardware equipment;(2) a neural network training data stage: according to a neural network model, establishing a data training network and training, and establishing a data fingerprint database; (3) an online matchingstage: predicting by utilizing a neural network according to the actual data vector characteristics of the user.

The invention discloses a GPS positioning method, which comprises the following steps that: S1, a server sends a positioning request to a mobile terminal and the mobile terminal responds to the request, sets the number of positioning points and reads the GPS data of the number of positioning points; S2, each positioning point is assigned with a weight according to the GPS data of each positioning point, wherein the weight consists of weights of a plurality of factors and the weights of the plurality of factors are calculated and added to obtain the weight of the positioning point; S3, the weight of each positioning point is calibrated; and S4, the positioning point with the largest weight is selected and sent back to the server. The method can perform accurate GPS positioning in a mapless mode.

The invention discloses an improved indoor positioning k-nearest neighbor (KNN) method, which is applied to the technical field of indoor positioning. The method comprises the steps of pre-judging that a current positioning point is near first few positioning points according to the first few history points obtained during the user positioning; when a KNN is used for calculating the current point, determining fingerprint points near the positioning points according to the error of a fingerprint algorithm; calculating the positioning result of this time according to the determined fingerprint points. After the method provided by the invention is used, the positioning result of this time can be obtained only by calculating the fingerprint points near the first few positioning points, so that the computation complexity of the traditional KNN method is greatly reduced.

The invention discloses a two-dimensional code detection and correction method in a complex scene, and mainly solves a problem that a conventional two-dimensional code recognition related algorithm fails in the complex scene. According to the algorithm, local HOG features are used for detecting the two-dimensional code in a complex scene in a cascading mode, and a convolutional neural network is used for further screening and regressing positioning points in the two-dimensional code so as to accurately position and correct the two-dimensional code. Through the algorithm, the scheme can be usedto quickly and accurately position and correct the two-dimensional code in the complex scene, and has very high practical value and promotional value in the fields with two-dimensional code recognition function requirements, such as mobile payment, industrial detection and robot two-dimensional code navigation.

The invention discloses a start point binding method and device, a prediction model acquisition method and device and a storage medium, and relates to the field of intelligent transportation. The start point binding method can comprise the steps: determining a road in a preset range around a positioning point where a user is located as a candidate road when the user initiates driving navigation road calculation; forming a road pair by every two different candidate roads with any two road pairs being different; for each road pair, constructing features corresponding to the road pair according to state information of the current user and attribute information of the two candidate roads in the road pair, inputting a pre-trained prediction model, and obtaining a prediction result which comprises a navigation starting point road selected from the two candidate roads in the road pair; and integrating the prediction results of different road pairs to finally determine the navigation startingpoint road. Thus, the accuracy of the start point binding result is improved.

The invention provides a decoding method of a two-dimensional point code, which comprises the following steps: defining the coordinates of the locating points of the two-dimensional point code; performing extrapolation and interpolation operations according to the coordinates of the locating points, so as to establish the coordinates of a plurality of virtual data points; and finally, comparing the data point with the virtual data points, so as to learn the reappearing information of the two-dimensional point code. When an image of the two-dimensional point code is inclined, all points in the image can still keep a geometrical relationship of interpolation and extrapolation; therefore, the decoding method is still applicable when the acquired image is inclined.

A method for obtaining an edge prep profile of a cutting tool with a point sensor. The method includes: (a) scanning edge points of the cutting tool, including a target edge point on a target edge, with the point sensor, by rotating the cutting tool around its axis, to generate a first point cloud; (b) repositioning the point sensor and cutting tool relative to each other based on the location and orientation information of the target edge point, such that the sensor focus is at a region of interest containing the target edge point; and (c) scanning the region of interest using the point sensor to generate a second point cloud. The first point cloud includes location and orientation information of the target edge point. The second point cloud includes information for edge profile analysis.

The invention relates to a point distribution method and system for complex special-shaped holes. The method comprises the following steps: classifying an upper end surface topological line and a lower end surface topological line to obtain an upper end line and a lower end line; obtaining geometric average points of the upper end line and the lower end line; determining a positioning point of thespecial-shaped hole according to the geometric average point; determining an upper point distribution layer and a lower point distribution layer according to the positioning points, wherein the distance between the positioning point and the upper point distribution layer is recorded as a first distance, and the distance between the positioning point and the lower point distribution layer is recorded as a second distance; obtaining the radius and the height of the special-shaped hole; determining the type of the special-shaped hole according to the radius and height of the special-shaped hole;acquiring the number of point distribution layers and the number of points to be distributed; calculating interlayer spacing and measuring point spacing according to the type of the special-shaped hole, the first distance, the second distance, the number of point distribution layers and the number of to-be-distributed points; and determining measuring point coordinates and a measuring point direction according to the measuring point spacing and the interlayer spacing. According to the invention, automatic point distribution of various types of special-shaped holes can be realized, and the measuring point planning efficiency and the automation degree are improved.

The invention discloses a line trajectory generation method and device, relates to the technical field of computers, and can solve the problems of low drawing efficiency and low accuracy of manual drawing of line trajectories in the prior art. The method mainly comprises: determining track characteristics of each positioning track for the same always-on point, wherein the positioning tracks are sets of positioning points arranged according to the time sequence, and the track characteristics are characteristics used for measuring the quality of the positioning tracks; selecting an optimal positioning track from a plurality of positioning tracks according to the track characteristics; performing point distance optimization processing on the optimal positioning track to obtain an initial clustering center point set; and clustering iteration is performed on the multiple positioning tracks and the initial clustering center point set so as to obtain a final clustering center point set, and enabling adjacent points in the final clustering center point set to be connected so as to obtain a line track. The method and the device are mainly suitable for scenes where bus route tracks are drawn.

The invention discloses a mark point coordinate measuring method and system and a deformation measuring method and system. The mark point coordinate measurement method comprises the following steps: photogrammetric measurement of a body in white is carried out, and a positioning point file containing position information of all target points is obtained in a measurement coordinate system; in the measurement coordinate system, the surface of the feature area is aligned through laser scanning, and scanning point cloud is obtained; calculating a transformation matrix for aligning the scanning point cloud with the design state digital-analog point cloud of the alignment feature region; and converting the position information of the mark points in the positioning point file by using the transformation matrix, and solving the coordinates of each mark point in the design coordinate system. In the measurement coordinate system, position information of each target point is obtained through photogrammetry, point cloud data of the aligned feature area is obtained through laser scanning, then the point cloud data is aligned to a design state digital model, a transformation matrix for transformation from the body-in-white measurement coordinate system to the design coordinate system is obtained, and the position of each target point is transformed to obtain a design state digital model; and the coordinate value of the body-in-white mark point can be accurately obtained.

The invention discloses a method for intelligently playing back historical tracks, which comprises the following steps of: acquiring historical positioning data of a user in a timing/real-time manner,judging feature tags of data except normal movement, and cleaning the acquired historical positioning data according to the feature tags, wherein the feature tags comprise aggregation, disappearance,initialization and interruption; and processing the historical track playback progress bar in combination with the cleaned historical positioning data, adding feature point position marks or featureinterval position marks to the state position points with the feature tags, and linking each feature point position mark or each feature interval position mark to the corresponding playing progress position. According to the method, the problems that hardware resources are consumed when the positions of the positioning points in the map are updated, meanwhile, the historical track data capacity inthe map cannot be effectively increased, and the display effect is poor can be effectively solved, and the visual examination is good.

Systems and methods for determining a position of a point of interest (POI) are provided. The methods may include obtaining a plurality of historical positioning records of a target POI and determining at least one set of target coordinates of the target POI by operating at least one iteration of a center clustering procedure on a plurality of historical coordinates in the plurality of historicalpositioning records. Systems and methods for determining a POI are also provided. The methods may include obtaining a set of coordinates of a positioning point and obtaining a candidate POI set including POIs and basic information of the POIs. The methods may further include determining a plurality of features of each of the POIs in the candidate POI set and determining a target POI associated with the positioning point from the candidate POI set based on the plurality of features and a machine learning model.

The invention relates to the technical field of project construction, in particular to a staff positioning data collecting method and system in a BIM environment. The method comprises the following steps: constructing a BIM building structure model of a construction field by a background client; arranging a plurality of positioning point labels correspondingly in the building structure model according to a plurality of positioning point locations sequentially arranged in each floor of the construction site; then sending the BIM building structure model comprising the positioning points to a mobile terminal; and carrying the mobile terminal by an operator to enter the construction site, and calibrating and matching the positioning point labels in the BIM building structure model and the positioning points of the construction site. Compared with the prior art, the method has the advantages that by adjusting the staff positions matched with the positioning point locations of the BIM model, human and the model are interlinked; the mobile terminal moves, the model displays along with movement, and records the information such as positions and visual angles in the model automatically during photographing, so that the problems of leakage, low efficiency in conventional problem addressing are improved greatly.

The present invention relates to a tracking method including the steps for: - detecting the presence of one or more agents near at least one predefined geolocated point by verifying the establishment of short-distance communication, between one or more mobile communication terminals of one or more agents with one or more stationary devices, associated and located at the predefined geolocated point, of information from one or more remote servers about whether or not agents are near the predefined geolocated point by transmitting, at a regular interval, an acknowledgement signal to one or more remote servers; and after the occurrence of one or more predetermined events, - carrying out one or more operations in response to the event. The present invention also relates to a system for carrying out the method according to the invention.