197 results about "Boundary location" patented technology

Methods and systems are provided for measuring a retinal sublayer characteristic of an eye. A plurality of axial scans are performed over an area of the retina of the eye. Reflections are measured during the axial scans to determine a plurality of sets of reflection intensity values. A given set of reflection intensity values is associated with one of the plurality of axial scans. A progressive refinement boundary detection algorithm is performed using the plurality of sets of reflection intensity values to determine at least one boundary location associated with the retinal sublayer for each of the plurality of sets of reflection intensity values. The retinal sublayer characteristic is determined in response to the determined boundary locations.

Systems and methods that accurately detect and locate an edge or boundary position based on a number of different characteristics of the image, such as texture, intensity, color, etc. A user can invoke a boundary detection tool to perform, for example, a texture-based edge-finding operation, possibly along with a conventional intensity gradient edge-locating operation. The boundary detection tool defines a primary region of interest that will include an edge or boundary to be located within a captured image of an object. The boundary detection tool is useable to locate edges in a current object, and to quickly and robustly locate corresponding edges of similar objects in the future.

In a communication system, plural nodes are communicably connected to a communication line and mutually communicate based on an NRZ (Non Return to Zero) code. Each node detects, as a data frame head, a dominant level when a signal on the line changes to a dominant level during a stand-by state of the line. An activation frame is transmitted during a sleep mode. The activation frame has an activation pattern area storing therein a bit pattern showing that the frame is the activation frame, a specific pattern area storing therein a bit pattern showing a node to be activated, a boundary position satisfying a predetermined boundary condition and being a boundary between the activation and specific pattern areas. Each node performs a switchover from the sleep mode to a normal mode based on the bit patterns in the activation and specific pattern areas and information given by the boundary position.

Lane Boundary Estimation and Host Vehicle Position and Orientation, within the host lane estimation, using V2V (vehicle to vehicle) system, are discussed here. Lane boundary detection and tracking is essential for many active safety/ADAS application. The lane boundary position enables the tracking of the host vehicle position and orientation inside the lane. It also enables classifying in-lane, adjacent lanes, and other lanes vehicles. These two functionalities (lane boundary estimation and vehicle lane classifications) enable active safety applications (such as LDW, FCW, ACC, or BSD). It also enables the lateral control of the vehicle for lane keeping assist system, or for full lateral control for automated vehicle (automated for one or multiple lane changes).

A method and apparatus provide high-sensitivity GPS/GNSS signal acquisition in a stationary GPS/GNSS receiver. The uncertainty in frequency due to apparent Doppler shift is partitioned into a plurality of contiguous frequency bins, and the uncertainty in location of navigation data bit boundaries is partitioned into equally spaced trial bit boundary locations. For each combination of the trial bit boundary location and the frequency bin, a signal block of captured complex baseband signal is Doppler-compensated using a phase rotator, and then synchronously summed with a periodicity of one period of C/A code so as to produce a compressed sample block having N samples. Each compressed sample block is cross-correlated with one period of reference C/A code to produce an N-value correlation function. A predetermined number of magnitudes of the N-value correlation functions are stack-accumulated into an array with precession compensation so as to find a correlation peak having the largest value.

A boundary detector includes a candidate line detecting unit that detects a candidate line of a lane boundary position drawn on a road surface based on image data of a predetermined detection time period acquired from a camera. The detector also includes a lane boundary position selecting unit that selects a lane boundary position based on the candidate line; a branch lane boundary position selecting unit that selects a lane boundary position of a branch lane that diverts from a main lane based on the candidate line; and a branch processing unit that sets a branch process mode in which the detection time period is short without using the selected lane boundary position of the branch lane when the branch lane boundary position selecting unit selects the lane boundary position of the branch lane.

The invention discloses a method for realizing autonomous exploration mapping and autonomous path covering of an indoor robot cleaner. The method comprises the following steps: 1) the robot cleaner senses the current area environment, obtains the depth information of the current shooting area, and determines a boundary position; 2) the robot moves autonomously to the position, completes the scanning and map generation of the upper area, and senses the environment of the new area; 3) the robot cleaner finally completes the generation of an indoor environment complete map through the continuous boundary exploration and new regional scanning, and distinguishes the area that cannot be passed and the area that can be passed in the map; 4) the indoor environment map can be completed, and the map area can be decomposed to generate the cleaning path for covering each area; and 5) a motion control module drives the robot cleaner to finally complete the cleaning of the indoor environment in accordance with the planned area order and path. The method overcomes the shortcomings of low coverage and high cleaning repetition rate of a conventional robot cleaner, thereby improving the robustness of the system and the work efficiency.

A lane boundary detector includes an edge point extracting unit that extracts a plurality of edge points of a lane sign from the input image, and an edge line extracting unit that extracts a plurality of edge lines of the lane sign from the edge points to formulate a position and a direction of each of the edge lines as a straight line on the road surface, using a parameter set consisting of at least two variables. The detector further includes a branch point detecting unit that determines whether a crossing point of two of the edge lines can be a branch point of the lane, based on whether a characteristic difference vector defined with the variables with respect to the two edge lines falls within a predetermined appropriate range, and a lane boundary determining unit that determines the left and the right boundary positions of the lane.

The invention discloses a method for detecting blocking effect. The method comprises a block boundary position-detection method and a block effect level estimation method. The boundary position-detection method comprises the following steps: respectively calculating a horizontal first-order difference and a vertical first-order difference on global pixels; adopting prevention textures and edges as the conditions of judging block boundary, ; and obtaining the positions of vertical block boundaries and horizontal block boundaries through the calculation; the block effect level estimation methodcomprises the following steps: calculating the estimated value of integrated block effect level by utilizing a dimensional array obtained through the calculation of horizontal block boundary positions and vertical block boundary positions. The invention has the advantages that the accuracy of judgment result is greatly improved, the average statistical characteristics of image provided with no block effect part can be better presented because the denominator adopts the sum of average value and standard deviation during the calculation of the estimated value of the horizontal block effect level and the estimated value of the vertical block effect level.

A boundary detector includes a candidate line detecting unit that detects a candidate line of a lane boundary position drawn on the road surface based on image information from a camera. The detector also includes a lane boundary position selecting unit that selects the lane boundary position based on the candidate line; an additional lane boundary position selecting unit that selects a lane boundary position of an additional lane that is added to a main lane based on the candidate line; and an additional processing unit that stops adopting the lane boundary position for a predetermined time period when the additional lane boundary position selecting unit selects a lane boundary position of the additional lane.

The invention relates to a method for automatically classifying particles and belongs to a particle classification method. The method comprises the following steps of: obtaining at least two types of characteristic information through collecting scattered light signals of a particle detector and respectively mapping the at least two types of the characteristic information of the particles into a two-dimensional scatter diagram; carrying out Gaussian filtering on the two-dimensional scatter diagram and selecting a peak value of the Gaussian filtering as an initial value of means clustering; clustering data of the two-dimensional scatter diagram by using the means clustering; and calculating the particle number of each area according to clustered results, so as to count percentage of the particle number of each area. According to the invention, the boundary position, shape, direction and size of each area can be adjusted; and the method provided by the invention is strong in accuracy and stability, and can be used for improving the adaptability of the scatter diagram to various samples.

An electrical parameter imaging apparatus and method includes the acquisition of a charge distribution pattern on an array of electrodes that surround an object being imaged. In addition the boundaries of regions having differing electrical characteristics within the object are measured by a secondary imaging method. The internal boundary location measurements are employed to provide a quicker method to compute electrical parameters of tissues inside the boundary using the acquired charge distribution pattern.

In one embodiment, in a multi-channel optical coupling device, which is obtained by individually encapsulating a plurality of optical coupling elements within primary packages of light transmitting resin while encapsulating them within a secondary package of light blocking resin, a lead frame is provided with a common lead used to electrically interconnect the optical coupling elements, with the common lead being partially decoupled at the boundary location between the optical coupling elements.

In deduplicating data including objects, the system obtains information of the location of the objects and uses the information in calculating the hash value. The hash value calculation program divides data from the boundary location to chunks to match the boundary location of the objects subject to deduplication and the hash value is calculated from each chunk.

In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting presence of a crop at particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining crop boundary locations within the particular portion of the geographical region based on the predicted presence of the crop at the particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indication of crop areas, wherein the crop areas are defined by the determined crop boundary locations.

The invention discloses an auroral oval boundary position prediction method based on interplanetary and geomagnetic parameters. Estimation is performed on geomagnetic latitude of auroral oval boundaries in the equator direction and the pole direction at all magnetic places according to interplanetary and geomagnetic environment, and the method can be used in prediction for an auroral oval boundary position in space weather research. The method comprises the following achieving steps: (1) UVI image pre-processing, (2) automatic division of the auroral oval boundaries, (3) obtaining of the interplanetary and geomagnetic parameters, (4) construction of a data set, (5) regression modeling, (6) prediction of the auroral oval boundary position, and (7) evaluation of a prediction result. According to the experiment result, the method can predict the auroral oval boundary position at an about 1.7MLAT average absolute error in a relatively accurate manner, and the method has great practical value in the space weather prediction aspect.

A method for expanding Web boundary includes setting up expansion point component at Web boundary location requiring to be expanded and setting up content to be expanded then guiding said content to be expanded into said expansion point component.

Techniques for log squaring using both directional and non-directional electromagnetic measurements are disclosed. The techniques described herein can be used for determining bed boundary locations and assigning resistivity values to each layer in a layered earth model, regardless of well deviation. Potential bed boundary locations can be derived from both directional and non-directional electromagnetic measurement data. The bed boundary locations from the directional and non-directional measurements can then be consolidated using a weighted averaging scheme, where weight can be dependent based on apparent formation dip. By combining the results from both directional and non-directional measurements, the log squaring techniques described herein can be used in most wells regardless of the well angle (the angle can be arbitrary). Once bed boundaries are selected, formation properties, such as horizontal resistivity (Rh) and vertical resistivity (Rv) can be assigned to the model layers.

The present invention relates to a method for making multi-path data stream acceptable in a high-density recording medium. A data stream recording method according to the present invention, records data stream in a recording medium, groups multi-path stream section of the recorded data stream into a single stream object, creates time entries having location information indicating each boundary position between stream segments of different path wherein each time entry contains type information indicating whether related data stream interval is for multi-path or not, and records the created time entries. This multi-path data stream accepting method prevents searching error which might be caused from multi-path data stream in a high-density recording medium in reproducing mode.