538results about How to "Solve the positioning problem" patented technology

The invention discloses an AGV navigation control method based on two-dimension code image tags. The AGV navigation control method comprises the following steps: 1) obtaining the range of each pixel point in scanned images of two-dimension code tag scanners; 2) obtaining corresponding IDs and positions of the two-dimension code image tags in a coordinate system of the images themselves according to the scanned images of the two-dimension code tag scanners; 3) an AGV receiving navigation path instructions sent by a scheduling center; 4) the AGV sequentially establishing local navigation coordinate systems according to the navigation path instructions and calculating initial positions of the AGV in the local navigation coordinate systems; 5) planning an arc track between two two-dimension code image tags of the AGV in sequence; and 6) calculating the control quantity of the AGV according to the planed arc radius to enable the AGV to drive to each two-dimension code image tag in a navigation path instruction sequence in sequence, and thus the navigation path instruction is finished. The method can reduce production cost, reduce on-site implementation difficulty and improve guiding flexibility.

The invention provides a video fingertip positioning method based on Kinect, which comprises the following steps: (1), collecting video information; (2), analyzing, processing and segmenting the video information to obtain a hand shape of a user; (3), carrying out ellipse fitting of a palm shape of the user to obtain an ellipse, and taking the center of the ellipse as a central point of the palm shape; (4), positioning an arm point of the user; and (5), positioning fingertips of the user. The positioning method comprises multiple finger positioning and single finger positioning, and has the advantages of excellent robustness, and the like.

The invention discloses a mobile terminal positioning method and device. The mobile terminal positioning method comprises the following steps of: obtaining identification information of a wireless network access point (AP) near a mobile terminal to be positioned; searching corresponding AP position information according to the identification information of the AP; and determining a position of the mobile terminal to be positioned according to the searched AP position information. With the application of the technical scheme provided by the embodiment of the invention, the problem of positioning the mobile terminal without GPS (Global Position System) positioning and base station positioning conditions can be solved.

The invention relates to a laser two-dimensional code positioning method which performs image preprocessing, image binarization, Canny operator edge detection, two-dimensional code coarse positioning, image frame refinement, position positioning indicator detection, image geometrical distortion correction two-dimensional code accurate positioning, etc. on a metal part two-dimensional code image to obtain an accurate positioning two-dimensional code image. The method utilizes an image morphological method to perform closed operation on a two-dimensional code binary image and to detect the outer contour of a two-dimensional image so as to obtain a coarse positioning two-dimensional code image, then utilizes an image frame refinement algorithm to obtain a two-dimensional code position detection figure and the center thereof, and utilizes a geometrical distortion algorithm to extract a positioned two-dimensional code so as to obtain a better two-dimensional code image. At present, the position positioning indicator and correction figure of a laser two-dimensional code image are unclear or irregular caused by chemical reaction in indication, so that a two-dimensional code can not be positioned by directly utilizing the characteristics of the position positioning indicator and correction figure; and according to the invention, the problem is solved.

The invention provides a train combined positioning method under a condition of a limited satellite signal. The method can revise bias of an inertial navigation system by using position information provided by a satellite navigation system under the condition of effective satellite positioning, combines train gesture information with output parameter of a wheel sensor, calculates to obtain three-dimensional speed under a navigation coordinate system and reserves information of satellite unlocking. Under the condition of satellite positioning failure, a wheel sensor/ inertial navigation systemis applied to combine and position; a wheel sensor is applied to revise the bias of the inertial navigation system, thus the train combination navigation system can provide positioning information with a certain precision. A high-precision digital track map is used for revising the bias of the train on the track vertical direction, thus the positioning precision of the train is guaranteed. The method can solve the positioning problem of the failure zone of the satellite signal, and carry out system independent switching under different satellite positioning conditions, thus the continuous, exact and reliable train position information can be acquired.

The present invention provides an image motion compensation method for a space optical remote sensor, relating to an image motion compensation method and solving the problem that the current image motion velocity vector calculation method used in image motion compensation cannot satisfy complex imaging tasks and the calculation result is not accurate. The process of the image motion compensation method is as follows: creating five coordinate systems starting from ground targets to image points, transferring the coordinates for a plurality of times according to the rotation and translation principles among vectors, describing the positions of the targets and the image points in the camera coordinate systems, obtaining the image motion velocity vector calculation formula and the calculation method when the satellite forms images of the targets, then obtaining the image motion velocity vector used in the image motion compensation of the space optical remote sensor. The image motion compensation method overcomes the deficiency in the prior art, dependently calculates the target positions needed in the image motion velocity vector calculation and integrally considers the orbit and attitude parameters, besides. The image motion compensation method is suitable for complex imaging tasks and general satellite orbit, and is used in the fields such as atmospheric environment monitoring, resources exploration, disaster prevention and the like.

The invention provides a navigation positioning correction method and a navigation positioning correction device based on a global positioning system, and a positioning navigation system. The method comprises the following steps of: receiving a current positioning point acquired by the global positioning system; selecting a road with the highest weight factor as a matching road of the current positioning point, and determining that a parameter of the weight factor comprises an accordance degree of a current travelling direction and a direction of the road, and an approaching degree of the current positioning point and the road; and taking a projection point of the current positioning point to the matching road as a map matching point of the current positioning point. By the invention, an accurate matching point on a map is obtained by calculating the accordance degree of the current travelling direction and the direction of the road, and the approaching degree with each road, and projecting to the road with the highest matching degree. Compared with the conventional method for matching based on a distance only, the invention has higher precision and adaptability, and can solve thepositioning problem under complex situations, such as vehicle turning, multi-intersection selecting, main and auxiliary road selecting and the like.

The invention relates to an intracranial puncture locating method based on mixed reality and belongs to the field of neural imaging navigation. The method includes the steps of firstly, collecting CTscanning data of a patient with a marker, and creating three-dimensional models of the head and intracranial lesions of the patient according to the CT data; determining puncture targets, a puncture direction and puncture depth on the basis of the three-dimensional models, and creating an intracranial puncture path; finally, through rigid registration, overlapping the three-dimensional model of the head and the puncture path on a surgical part of the patient through a mixed reality technology, so that a surgeon can conduct puncture surgery under the guidance of the virtual three-dimensional models and correct puncture operation in real time according to the puncture path. Since the virtual three-dimensional modules are totally matched with a real scene, the virtual puncture patch is highlymatched with an actual situation, and therefore by conducting the puncture operation along the virtual puncture path, deviations or faults existing in traditional empirical operation are effectivelyavoided so that the purpose of improving the intracranial puncture precision and puncture efficiency can be achieved.

A method for positioning target under water automatically includes using wirerope on the ship to sink detection device down to water bottom at water area of target to be positioned and confirming its position through image; arranging sound wave receiversin linear array of intervals on water surface, launching sound wave to wards water surface by emitter; sending sound wave signal to computer for calculating out time difference, water depth and target water surface projection position value displayed in curve.

The invention discloses an on-line positioning method of small current earth fault and a positioner based on the positioning method. The method is suitable for a 3 to 60 kV neutral non-effective grounding electrical network. When a line is in operation with single phase earth fault, a 130 to 230 Hz (excluding power frequency of integer times of 50 Hz) AC signal is filled into a transformer station PT (potential transformer), voltage phasor of the filled signal is measured in a transformer station, current phasor of the filled signal is measured in a line, thus the section position of a fault point is determined according to the phase relationship of the filled signal voltage phasor and the filled signal current phasor. The positioner in the present invention comprises a host computer and a lower computer. The host computer is installed in the transformer station, and is used for filling 130 to 230 Hz (excluding power frequency of integer times of 50 Hz) AC signal into the transformer station PT and measuring the voltage phasor of bus filling signal. The lower computer is installed on the line, and is used for measuring current phasor of the filled signal. The lower computer uploads a measuring result to the host computer, and the host computer carries out phasor analysis and completes positioning calculation. The on-line positioning method of small current earth fault and the positioner based on the positioning method provided in the invention have the advantages of mature technology and high reliability.

The invention relates to an alignment method for preparing a membrane electrode sealing border of a fuel cell. The membrane electrode sealing border is prepared by the following steps of: applying a negative electrode alignment mark to a negative electrode sealing border, and applying a positive electrode alignment mark to a positive electrode sealing border; judging the alignment deviation between the active area of the negative electrode sealing border and the active area of the positive electrode sealing border through human eyes identification or optical identification or CCD (charge coupled device) identification according to a pattern formed by the negative electrode alignment mark and the positive electrode alignment mark in the plane direction vertical to the sealing border; adjusting the relative positions of the negative electrode sealing border and the positive electrode sealing border according to the alignment deviation, and performing alignment coverage of the negative electrode sealing border, a polymer ion exchange membrane and the positive electrode sealing border in a certain precision range so that the active area of the prepared membrane electrode sealing border has relatively high alignment precision and the active area of the membrane electrode can be accurately controlled. The method is suitable for the alignment precision control in the batch production of the membrane electrode sealing border.

The invention discloses a multi-scale license plate precise locating method based on affine correction. Firstly, candidate license plate plaques are detected by using texture information and color features of license plates, then affine correction is carried out on each candidate license plate, an energy function is defined to accurately locate the positions of the license plates, noise is removed, and the positions of license plates in original images are obtained through back calculation. According to the multi-scale license plate precise locating method based on the affine correction, the license plates can be accurately located from multi-scale images in a complex environment, high robustness, accuracy and high-speed performance are achieved, and the omission rate of the license plates is close to zero. The affine correction is uniquely introduced, the license plate locating problem brought by view angles of the images is well solved, and a basis is established for the accurate locating of the license plates. Meanwhile, the energy function is originally defined to evaluate and accurately locate the license plates, more deep information beneficial to the locating of the license plates is used in the method, and the locating of the license plates is made to be more accurate, more stable and more reliable.

The invention discloses a multi-information fusion positioning method. A satellite observation value is read from a satellite signal processor so as to generate a pseudo-range equation; and dynamic information including a direction vector, a speed, an accelerated speed, and a jerk and the like is read from an inertial navigation system and data including a road topology structure, a road direction vector, a road length, and electronic elevation and the like are read from a digital map and an elevation database. Initial matching is completed according to the pseudo range as well as the dynamic information, direction information, the road topology and direction that are outputted by the inertial navigation device; and a positioning model is formed based on the initial matching result, wherein the positioning model includes the pseudo-range equation, the road vector equation and the electronic elevation constraint equation and the like; and position calculation is carried out by using the least square method or the Kalman filtering algorithm. In addition, the invention also provides an apparatus for realizing the method. Therefore, a positioning problem of a satellite signal in a shielded environment can be effectively solved; and the positioning coverage range of the satellite navigation is expanded. And thus the method and the apparatus have the high commercial value.

The invention provides a lane line-based vehicle positioning method, a calculating device, an intelligent vehicle, and a surface mark-based vehicle positioning method are provided. The lane line-basedvehicle positioning method includes the following steps: obtaining a visual map including lane line information; initially determining the current position of a vehicle in a world coordinate system;generating a top view having the same proportion and dimension with the visual map based on an image currently captured by a vehicle camera; determining the position of the top view on the visual mapbased on the initially determined current position of the vehicle, and determining a lane line part on the visual map, used for matching, as a visual map matching lane line mark based on the positionof the top view on the visual map; searching a lane line part matched with the visual map matching lane line mark on the top view; and determining a coordinate transformation relationship between thetop view and the visual map based on the matching lane line part on the top view and the visual map matching lane line mark in order to accurately determine the current position of the vehicle in theworld coordinate system.

The present invention relates to microscopic tissue section technology, and establishes one effective tissue section method for the fertilized egg of sea water left eyed founder and right-eyed founder based on the features of the fertilized egg of sea water left eyed founder and right-eyed founder. The fertilized egg is polylecithal pelagic egg with high egg membrane toughness and narrow perivitelline space. The tissue section method includes the following steps: 1. fixing the polylecithal pelagic egg with Bouiní»s fixing fluid and optimizing treatment period; 2. pricking the egg membrane with dissecting needle in the vegetative pole direction to peel off the egg membrane; and 3. directly embedded to fix embryo with hot agar. The method is simple and effective, and may be also applied in the tissue section of other sea water fish egg.

The invention discloses a three-degree-of-freedom microoperation orthogonal parallel operating platform used for ultraprecise location, which realizes space three-dimensional translation ultraprecise location. The three-degree-of-freedom microoperation orthogonal parallel operating platform is provided with a static platform and a movable platform, wherein a piezoelectric ceramic driver is fixedly vertically arranged on each panel of the static platform, a drive of each piezoelectric ceramic driver is connected with the top end of a branched chain, the tail end of each branched chain is vertically connected with the movable platform, three branched chains are formed by sequentially serially connecting a flexible movable pair, a parallelogram structure, a first rotating pair and a second rotating pair according to position relationships of vertical, vertical and parallel among axial lines, the top end of each branched chain is a movable pair, the tail end of each branched chain is a second rotating pair, the three movable pairs are mutually orthogonal, and the three second rotating pairs are mutually orthogonal. According to the invention, the advantages of a parallel mechanism and a flexible movement pair are combined, a movement is generated by depending self elastic deformation, and output reaches high precision of micro level even nano level.

The invention relates to the technical field of wireless communication, and in particular relates to indoor RFID precise positioning method and device. The positioning method comprises the following steps: receiving signal strength information of a measuring label in a building through a reader; obtaining an estimated position of the measuring label based on the positioning algorithm AOA (Angle of Arrival) of the signal; adjusting the estimated position based on the signal strength ranging algorithm RSSI (Received Signal Strength Indicator) to obtain an optimal position; performing the pattern matching algorithm for the optimal position to obtain the best position. According to the positioning method, the estimated position of the measuring label is calculated by the AOA algorithm, then the estimated position is optimized by the RSSI algorithm to obtain the optimal position, and finally the matching positioning is performed for the optimal position based on the pre-built position database to obtain the accurate best position of the measuring label; a plurality of technologies are combined, and therefore, the positioning precision is improved, and the problem of positioning in a large building can be solved.

The invention provides a method for acquiring positions and postures of images within a city range based on deep learning, relating to the field of image geographic position recognition and augment reality. The method comprises the following steps: 1) creating a city picture set; 2) training a Gaussian mixture model to the city picture set, and dividing city geographical areas with the trained Gaussian mixture model; 3) training a combined learning picture posture estimation and scene recognition nerve network; 4) initializing, uploading the GPS or approximate network position information of auser; 5) classifying the approximate position information by using a learning partition function, downloading a corresponding network model and rendering information needing displaying to a user side; and 6) collecting a user input camera video steam, predicting the location results of three levels at the current moment by applying the downloaded network model of the current area, and if the confidence coefficient of the prediction result output by the network is higher than the threshold value, performing rendering of the rendering information by using the predicted position and posture parameters.

The invention discloses a standard bicycle parking system. An information transmitter is installed at a certain height in a parking lot. A built-in light source emits invisible light downwards through an optical path channel to form an information light band with a certain length and width. Guide marks for indicating parking stalls are disposed on the ground of the parking lot. An information receiver is mounted on a bicycle, receives the light signal of the light band and generates an electrical signal for standard parking. The light transmitter is disposed in the parking lot to transmit an optical signal. After a user parks the bicycle orderly at a designated stall according to the guide marks on the ground, a light reception sensor can receive the light signal covering the parking stall and completes bicycle return. The standard bicycle parking system solves a disorderly bicycle parking problem. The bicycles at the parking lot are not required to be managed by an administrator and can be parked orderly via a return process. Further, the method can share the parking resources and the return positioning management of the shared bicycles while the information locks of the shared bicycles are not required to be reformed.

The invention relates to a positioning method based on a movable positioning beacon. The method comprises steps that a to-be-positioned target is allowed to carry a positioning sensor and a wireless data transmitter, and setting a positioning system around the to-be-positioned target, wherein the positioning system comprises N movable positioning beacons in fixed positions, and the N movable positioning beacons regularly broadcast reports outwards during positioning; the positioning sensor receives the reports broadcast by the N movable positioning beacons and carries out processing so as to obtain and send out MAC addresses in the reports and RSSI values of the broadcast reports to the wireless data transmitter for transmitting out in a wireless manner; and the positioning system receives the MAC addresses and the RSSI values sent by the wireless data transmitter, and acquires distance information between the to-be-positioned target and each movable positioning beacon according to the MAC addresses and the RSSI values. According to the invention, a positioning problem when the positioning system is damaged in case of accidents like a fire disaster is solved and the positioning method is precise in positioning and convenient to operate.

The invention discloses a geographical coordinate positioning system and method based on 3D point cloud aerial photographing images. The system comprises a 3D point cloud establishment module, a homography module and a conversion module. Correspondingly, the method comprises the following steps: firstly, performing three-dimensional digitization on an image sequence according to an SFM method, rapidly acquiring 3D sparse point cloud in a world coordinate system, and establishing a homography H for representing the relationship of a geographical coordinate and a pixel coordinate of characteristic points in the 3D point cloud; respectively processing two different positioning requirements. According to the method, 3D point cloud with high precision is introduced into positioning of 2D images, so that positioning difficulties caused by non-normal incidence of the 2D images are substantially solved; when the relationship of the geographical coordinate and the pixel coordinate is established, positioning precision is ensured to the maximum extent in such a mode that reference points are searched within a minimum range; therefore, the method is high in positioning precision, and has great significances for modules of range constraint, target positioning, geographical marking and the like in aerial photographing patrol items.

The invention discloses an automatically monitoring storage battery anti-theft device, which comprises a GPS monitoring unit and a far-end control unit. The GPS monitoring unit comprises a GPS module, a communication module, a power supply module, a shock sensor, a displacement transducer module and an MCU microprocessing unit; and the far-end control unit comprises an instruction information receiving/transmitting module, a far-end monitoring alarm system, a GIS geographic information module and a plurality of far-end monitoring unit copies. The power supply module is connected with the GPS module, the MCU microprocessing unit and the displacement transducer respectively; the MCU microprocessing unit is bidirectionally connected with the GPS module and the communication module respectively; and the far-end monitoring alarm system is bidirectionally connected with the instruction information receiving/transmitting module and the GIS geographic information module. The automatically monitoring storage battery anti-theft device can overcome the defects in the prior art, and well solve the standby problem of an anti-theft device. Therefore, the monitoring time of the anti-theft device is greatly prolonged.