219 results about "Distance correction" patented technology

The invention relates to a distance correction weighted centroid localization method based on reception signal intensity optimization and aims to realize precise localization through moving an unknown node in a complex indoor environment. The method comprises steps that RSSI signal processing optimization strategies are comprised, that is, a Gauss mean value mixing filtering model is utilized to optimize an RSSI value, a problem of severe jittering existing in the RSSI value is solved, and a more reliable and reasonable RSSI value is acquired; timely beacon node combination is carried out, that is, the smallest four nodes are selected by utilizing a bubble sorting method from small to large to carry out combination localization; whether two circles in the combination intersect is determined, if not, a distance correction scheme is utilized to carry out optimization, and fault tolerance capability, adaptability and localization precision of the localization algorithm are improved; a four-side weighted centroid localization algorithm is utilized to carry out timely localization, and the position information of the unknown node is acquired. Through the method, localization precision is improved through the optimized localization method, stronger adaptability and higher fault tolerance capability are realized, and the method is suitable for realizing application and popularization in the complex indoor environment.

The invention discloses a laser radar two-step calibration method based on a calibration field. The method comprises steps of establishing a calibration field; carrying out calibration; preparing angle calibration; networking a theodolite; scanning a laser radar; measuring the theodolite; establishing an angle correction equation; calculating an angle correction coefficient; establishing a base line field; measuring the laser radar; measuring the theodolite; establishing a distance correction equation; and calculating a distance correction coefficient. According to the invention, rapid calibration of the laser radar is achieved without taking a precisely designed and processed calibration device as a calibration standard; a problem of too high requirements on a test place, the calibration field and the calibration device in the normal method is solved; through cooperation of a rotation bench, the whole test process is achieved, the test difficulty level is reduced and a difficulty in ensuring precision of full field-of-view angle correction in the normal method is solved; and through the test of the calibration field and the base line field step by step, effects of correcting separation distances in a calibration model are achieved and disadvantages in mutual coupling of distance parameters and angle parameters in the normal method are overcome.

An image correcting method capable of performing highly accurate shading correction using a table having a small storage area without causing any deterioration of performance even when the shading characteristics vary dynamically. The image correcting method comprises a step for calculating the distance between the coordinates of a pixel constituting an image and a predetermined reference coordinates, a step for calculating a distance correction value by inputting the distance calculated at the distance calculating step to the variable of an N-order function (N is an integer of 1 or above), a step for calculating a correction coefficient corresponding to the distance correction value calculated at the distance correction value calculating step based on a table representing the correspondence between the distance correction value and the correction coefficient, and a step for correcting the signal of the pixel based on the correction coefficient calculated at the correction coefficient calculating step.

An inter-vehicle distance control apparatus configured to detect a preceding vehicle in front of a vehicle having the inter-vehicle distance control apparatus installed, and to control an inter-vehicle distance between the preceding vehicle and the vehicle, includes a distance obtainment unit configured to set one or more reflecting parts of the preceding vehicle as target objects, and to obtain distances between the respective target objects and the vehicle; a target object identification unit configured to identify a least-distant target object having a least distance among the distances; a difference value recording unit configured to record a difference between the distance to the least-distant target object identified by the target object identification unit, and the distance to each of the other target objects; and a distance correction unit configured to correct the distance between a currently least-distant target object and the vehicle.

In an integrated controller for a vehicle, a main control unit determines whether a road ahead is a split-μ road based on captured images obtained by left and right CCD cameras, and, if so, increases a braking intervention distance correction gain for correcting braking intervention distances set by a collision prevention control unit. The collision prevention control unit performs collision prevention control at a brake timing earlier than usual using the braking intervention distances corrected by the correction gain. Furthermore, when the road ahead is determined to be a split-μ road, the main control unit decreases a target torque correction gain for correcting a target torque set by an engine control unit to prevent the vehicle from becoming unstable as a result of a yaw moment acting on the vehicle generated by a generated driving force due to a difference in friction coefficient μ between left and right road surfaces.

A correction function is calculated based on a reference image formed of reflected light reflected upon the irradiation of a predetermined living tissue, for which a diseased state is known, with a reference light. This correction function is employed to administer distance correction on calculated standardized values based on fluorescence images to which an offset has been added, to correct the fluctuations of the calculated standardized values caused by the distance between living tissue and the distal end of a fluorescence endoscope, thereby generating a corrected standardized fluorescence image.

An image processing apparatus for correcting, on the basis of an image and a depth map corresponding to the image, the depth map, includes: a detection unit that detects an object included in the image; a determination unit that determines whether a size of the object detected by the detection unit is a threshold or less; and a correction unit that corrects a distance in a target area which corresponds to an area of the object in the depth map, when the size of the detected object is the threshold or less.

In order to effectively accomplish blur restoration in a short time, an image processing apparatus includes a blur restoration unit configured to perform blur restoration processing on image data according to an object distance and a blur restoration distance correction unit configured to correct a blur restoration distance that represents an object distance at which the blur restoration processing is performed by the blur restoration unit. The blur restoration distance correction unit is configured to set an interval of the blur restoration distance according to a difference between a reference object distance and another object distance.

The invention discloses a digital holography-based three-dimensional micro-observation apparatus for cell dynamic of a living organism. According to the apparatus provided in the invention, a microscopic technology of digital holography is employed, so that dynamic three-dimensional microscopic observation without contact, damage and pretreatment on a cell of a living organism can be realized; a fiber optical path is utilized to realize object light illumination and an optical path portion of the object light employs a vertical type structure, so that it is convenient to carry out observationon the cell of the living organism; reference light utilizes a light beam turnover device to control an included angle between the reference light and the object light so as to realize off-axis digitholography; and an infinite distance correction microscopic object lens is employed to carry out pre-amplification and imaging on the cell; simultaneously, a relay lens is utilized to adjust an imaging position and a wavefront curvature of the object light, so that observation resolution is improved. According to the apparatus, layout structures of a plurality of optical elements are compact, flexible and stable thorough a platform; moreover, the apparatus can be applied to dynamic observation on the cell of the living organism for a long time.

The invention particularly discloses a single-image robot disordered target grabbing method based on pose estimation and correction. The method comprises the steps: S1, generating an image data set ofa to-be-grabbed object model; S2, constructing a convolutional neural network model according to the image data set in the step S1; S3, importing the two-dimensional image of the to-be-grabbed objectinto the trained convolutional neural network model to extract a corresponding confidence map and a vector field; S4, obtaining a predicted translation amount and a predicted rotation amount of the to-be-grabbed object; S5, finding the optimal grabbing point of the object to be grabbed and calculating the measurement translation amount of the depth camera; S6, performing grabbing safety distancecorrection according to the predicted translation amount of the object to be grabbed and the measured translation amount of the depth camera, executing correction data grabbing if the correction succeeds, and entering S7 if the correction fails; and S7, repeating the steps S3-S6. The disordered target grabbing method provided by the invention has the characteristics of high reliability, strong robustness and good real-time performance, can meet the existing industrial production requirements, and has a relatively high application value.

The invention being title as ''High-precision positioning method for a wireless mobile terminal at a mine tunnel'' provides a high-precision positioning method and system for a wireless mobile terminal in a mine tunnel environment, thereby solving a problem that high-precision positioning of a wireless mobile terminal at a mine tunnel can be not be realized by using the existing wireless positioning method and method. According to key points in the technical scheme, an on-site surveying is carried out to realize tunnel wireless signal sampling and a tunnel signal transmission distance correction model; a positioning base station receives a positioning request signal of a mobile terminal and a positioning response signal is returned; a mobile terminal transmits positioning interaction data to a positioning base station; the positioning base station calculates a theoretical distance of the mobile terminal; the theoretical distance is calculated by using the tunnel signal transmission distance correction model to obtain a maximum likehood position; and a final position of the mobile terminal is obtained by using a heuristic position correction algorithm in the method. The provided method can be widely applied to wireless high-precision positioning of the personnel and mobile equipment at the mine tunnel.

The invention relates to a rapid calibration and correction method and a TOF camera thereof, and the method comprises the following steps of (1), collecting the related data of the TOF camera at a fixed frequency, including a depth value image, an integral time value, and real distance value data; (2) processing the data obtained in the step (1), and generating related calibration parameters including a global deviation value, a weight lookup table and an FPPN lookup table; and (3) according to the related calibration parameters generated in the step (2), performing distance correction on theTOF camera, including preprocessing, lighting correction and FPPN correction. The method is simple in principle and simple and convenient to operate, can ensure that the TOF camera has higher measurement precision, can meet the speed requirement in the correction process, and is very suitable for engineering application.

A laser cutting system and method are provided. The system (10) includes an electronically controllable robot (12) for bringing a laser cutting head (22) to prescribable reference positions with respect to a workpiece (24), a programmable control device (18), provided with a memory, for controlling the robot (12) with respect to reference position coordinates stored in the memory, and a distance correcting device (26) for correcting the distance of the laser cutting head (22) from the workpiece after the laser cutting head (22) has been brought to the reference position defined by the reference position coordinates. To ensure a prescribed quality standard during the laser cutting, certain tolerances on the workpiece (24) must be maintained. In order to avoid additional measuring steps for measuring the workpiece (24), the control unit (18) is formed and programmed so that a comparison of the position coordinates acquired by the control unit (18) after distance correction of the laser cutting head (22) with the reference position coordinates stored in the memory takes place before a laser cutting process is initiated.

The invention relates to a method for measuring backscattering coefficient of atmospheric particulates and ozone concentration profile simultaneously. A dual-wavelength differential absorption laser radar receives On and Off dual-wavelength backscattering echo signals of different cross sections of ozone simultaneously, and the acquired On and Off dual-wavelength backscattering echo signals are subjected to pretreatments such as background deduction, square distance correction, filtering and the like; the initial ozone concentration value is assumed, the atmospheric molecule mode is a united states standard atmosphere mode, the corrected off wavelength echo signal is utilized to invert the Off wavelength backscattering coefficient, and the On wavelength backscattering coefficient is obtained according to the wavelength conversion relation, and the ozone concentration is inverted in combination with the On wavelength backscattering echo signal; if the difference between the inverted ozone concentration and the initial ozone concentration value is more than a preset value, the above process is carried out in a loop iteration manner until the difference reaches the preset value, and therefore, the backscattering coefficient of atmospheric particulates and ozone concentration can be obtained simultaneously. The method can effectively reduce aerosol interference and improve the zone measurement precision.

A range correction device includes an image acquiring unit, a collimating unit, a disparity calculating unit, and an updating unit. The image acquiring unit acquires stereo images formed of a plurality of simultaneously captured images. The collimating unit collimates the stereo images acquired by the image acquiring unit, using a correction parameter for correcting a vertical displacement between stereo images. The disparity calculating unit calculates a distribution of horizontal disparities between the stereo images from the stereo images collimated by the collimating unit. The updating unit calculates a distribution of vertical displacements between the stereo images on the basis of the stereo images and the distribution of horizontal disparities calculated by the disparity calculating unit and updates the correction parameter on the basis of the distribution of the calculated vertical displacements.

A back-up detecting device with a distance reset capability has a controller with an intensity analysis program and a distance reset function. When an ultrasonic transceiver is installed underneath a vehicle chassis forward of the rear end, a distance correction called a distance pad is measured, calculated and stored in memory by the distance reset function. The distance pad is the distance between the ultrasonic detector and the rear end of the vehicle. When the distance reset capability is used to determine a distance pad for each ultrasonic transceiver, the back-up detecting device presents accurate distances to objects without regard to the structure of the vehicle body without having to alter system hardware or software. Thus the back-up detecting device is suitable for large vehicles of varied shapes and sizes.

The invention discloses a street tree point cloud identification method based on laser reflection intensity. The method comprises the following steps: S1, establishing a distance correction model andan incident angle correction model of the laser reflection intensity; S2, for a to-be-detected area, selecting a part of street trees as samples, and obtaining point cloud data; S3, calculating corrected laser reflection intensity according to the correction model; s4, performing region segmentation on the corrected laser reflection intensity to obtain the crown and trunk laser reflection intensity of the street tree sample, generating a histogram, and setting an identification threshold; and S5, for the whole to-be-measured area, scanning to obtain laser reflection intensity, and judging whether the point cloud belongs to a crown or trunk target or not according to an identification rule. According to the identification method, the influence of the distance and the incident angle on the intensity is removed, the laser reflection intensity distribution of the crown and the trunk after correction is analyzed, the point cloud of the crown and the trunk of the street tree is identified, and ground objects such as buildings, pedestrians, lanes, sidewalks, turfs and street lamps are filtered out.

The invention provides an electromagnetic wave propagation characteristic-based indoor distance measurement positioning method. The electromagnetic wave propagation characteristic-based indoor distance measurement positioning method is realized based on a positioning system. The method includes the following steps that: a control point information table and an electromagnetic wave propagation model table are built at a positioning calculation server; a plurality of positioning labels are preset in a target area which requires positioning accuracy improvement so as to be adopted as control points, and the coordinates of the control points are measured, and real distances between the control points and each anchor point are calculated, and the coordinates of the control points and the real distances between the control points and the anchor points are written into the control point information table; the differences of the real distances between each control point and each anchor point, and observation distances are calculated, and are written into the electromagnetic wave propagation model table as distance correction values; and when indoor positioning is performed on user labels, control points adjacent to the positions of users are selected according to the electromagnetic wave propagation model table or the control point information table, and distance correction values of the positions of the users are calculated according to the distance correction values, and the distance values of the user labels and each anchor point are corrected, and the accurate coordinates of the users are re-calculated.

The invention provides a method for optical close-distance correction, comprising the following steps of: sampling and getting value out of the critical dimension range of supporting graphics to be exposed and obtaining discrete values in the critical dimension range, sampling and getting value out of the distance range of the supporting graphics to be exposed and the graphics to be exposed and obtaining discrete values in distance range; combining all the discrete values in critical dimensional range with all the discrete values in distance range to form discrete value combination pairs; selecting the discrete value combination pairs, arranging corresponding supporting graphics to be exposed around the graphics to be exposed according to the distance values of the graphics to be exposed; carrying out the optical close-distance correction of the graphics to be exposed; simulating the edge arrangement errors of the graphics to be exposed on wafers under the situations of focus lost and exposal energy offset; selecting the discrete value combination pairs with the smallest edge arrangement errors, transferring the corresponding supporting graphics to be exposed and the graphics to be exposed to a photomask. By the steps, the time required by selecting the supporting graphics to be exposed which have the best distance and the best critical dimension with the graphics to be exposed is short.

The invention discloses a localization algorithm based on sector overlapping area of clustering analysis. The method comprises the following steps: S1, fitting a Gaussian ranging curve of received signal strength indicators (RSSIs); S2, performing partitioning based on a sector overlapping area; S3, performing clustering analysis; S4, preforming distance correction; and S5, performing dynamic weighted centroid localization. In the method, Gaussian sieving is added according to errors caused during RSSI measurement in order to eliminate the RSSIs having relatively great influences; and then, the sector overlapping area based on the clustering analysis is established according to the difference in localization distribution of the RSSIs, and correction factors are added in different partitioned areas through geometrical locations among reference nodes to perform distance correction. Meanwhile, localization is performed through a dynamic weighted centroid localization algorithm to get the location of an unknown node. The localization algorithm has the advantages of high localization accuracy, low computation complexity, convenience in hardware implementation and the like.

The invention discloses a wireless sensor network node locating method and a device. The method comprises the following steps: S1, calculating the average per-hop horizontal distance of each anchor node in a to-be-detected area; S2, calculating the average hop distance correction value of each anchor node; S3, calculating the corrected average per-hop horizontal distance of each anchor node according to the average hop distance correction value and the average per-hop horizontal distance thereof; S4, calculating the horizontal distance from an unknown node to an anchor node around the unknown node, and determining the plane coordinates of the unknown node according to the horizontal distance and the plane coordinates of the anchor node around the unknown node; and S5, determining the 3D coordinates of the unknown node according to a 2D electronic grid model and a 3D electronic grid model of the to-be-detected area and the plane coordinates of the unknown node. The precision of location in mountainous terrains can be improved greatly. The requirements of practical application can be satisfied.

The invention discloses a method and a device for generating a second pulse of a satellite navigation receiver. The method includes the following steps: generating a rough timing signal TIC through afrequency reference device such as a crystal oscillator; latching the pseudo code phase, carrier Doppler value and other observables of a satellite signal at the leading edge of the TIC signal; carrying out positioning calculation according to the satellite position, pseudo distance correction and other parameters in a navigation message to obtain the position, speed, clock difference and clock drift; calculating the adjustment amount of next TIC signal cycle by using the clock difference and the clock drift value; and finally, adjusting the TIC signal, and generating an accurate 1PPS second pulse signal. The problem that large deviation is caused as the existing satellite navigation receiver generates a second pulse according to the clock difference only is solved. The defect that the method for generating a second pulse under stable control of a phase locked loop needs a large amount of computation is overcome.

The invention discloses a seabed cable detection method based on side scan sonar data fusion and precision processing; the seabed cable detection in a sonar image is affected by multi-factors and hardto make, and the seabed cable is hard to be accurately detected in the prior art. The method can accurately detect the seabed so as to carry out later slope distance correction. The method uses a LOGfunction filtered image as the input image of a Canny detection algorithm, carries out seabed tracking, fuses the result with a threshold value method tracking result, removes abnormal values of thefused seabed cable via interpolation and filtering, and compares same with single beam sounding data. The method takes the Shenzhen Dapeng bay sea area as the case for verification, and obtains a tracking precision with a root-mean-square error at + / - 0.2m, thus verifying the feasibility of the method. The detection method can be applied in seabed cable precision detection under complex conditions.

The invention discloses a mine moving target positioning method based on RSS (received signal strength) and TOA (time of arrival) complementation, which combines an RSS method and a TOA method and overcomes the defect of overlarge positioning error caused by a traditional single positioning method. The method comprises adopting a distance measurement interval method to suppress an NLOS error signal, solving a distance correction weight value according to a distance relative error value between every two nearest neighbor positioning base stations in the roadway, and performing distance correction on the distance measurement value; obtaining the weight of each distance measurement value by adopting a speed threshold function method, and optimizing the distance measurement values according to the weights; and performing accurate positioning calculation on the corrected distance estimation value through a weighted positioning method. The method solves the problem that an existing mine personnel positioning system and method is influenced by the environment of a roadway and is insufficient in positioning accuracy, is simple and effective in positioning process, has strong anti-electromagnetic interference capability, and can effecively realize the accurate positioning of underground coal mine personnel, vehicles and other moving targets.

A method of optics close distance correction is provided, which comprises the following steps: providing at least a circuit figure to be exposed; forming at least one assistant figure to be exposed perpendicular to the circuit figure to be exposed, the dimension of the assistant figure to be exposed is less than the resolution of the lithography machine; transferring the circuit figure to be exposed and the assistant figure to be exposed to the photomask, so as to form the circuit figure and the assistant figure. Through the steps, not only the assistant figure on the photomask perpendicular to the circuit figure can be reflected on the semiconductor underlayer, without forming lithography glue film figure opposite to the assistant figure, so that the imaging effect turns good, but also the figure resolution and DOF are improved.

The invention belongs to multi-target imaging technology for inverse synthetic aperture radar, which comprises distance direction compression, target number determination, coarse distance correction, target isolation, fine distance correction, phase compensation and orientation compression on the received echo signals. The number of the targets is judged according to a coarse ridge line image after the distance compression, the inclination angle detection is carried out on the coarse ridge line image of the target through projection transformation, and each target distance is precisely corrected by adopting a reference correlation and a quadratic curve fitting method after the coarse distance correction and the isolation treatment are carried out on each target; and not only the linear distance drift of the target can be corrected, but also the nonlinear distance drift can be corrected. Therefore, the technology has the characteristics of accurately judging the number of the targets, imaging a plurality of targets with high imaging definition and the like, and overcomes the defects of large correction treatment restriction, poor effect and the like because the background technology only can correct the linear distance drift but cannot correct the nonlinear distance drift.

A travel distance estimation device is provided. The travel distance estimation device includes an estimated velocity determination unit that successively estimates an estimated velocity of a movable object based on an acceleration integrated value and a velocity initial value a travel distance calculation unit that successively calculates an estimated travel distance of the movable object based on the estimated velocity, and a past velocity correction unit that determines corrected past velocities by correcting pre-correction past estimated velocities so that the corrected past velocities are continuous with the velocity initial value determined this time. The pre-corrected past estimated velocities are the estimated velocities that were successively determined. The travel distance estimation device further includes a travel distance correction unit that recalculates based on the corrected past velocities an estimated travel distance.

An outside recognition device according to the present invention has an object to perform distance measurement of an obstacle detected with a surrounding monitoring camera at a low cost. The outside recognition device according to the present invention has a stereo camera that measures a distance in front of the vehicle, a surrounding monitoring camera that photographs a surrounding area of the vehicle, a three-dimensional measuring unit that measures a photographing range of the surrounding monitoring camera with the stereo camera by means for rotating the stereo camera, and generates three-dimensional information from the measurement result, a distance correction information generating unit that generates distance correction information corresponding to a photographing direction of surrounding monitoring camera from the three-dimensional information, and a distance measuring unit that measures a position of the obstacle detected with a surrounding monitoring camera.