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77 results about "Topographical mapping" patented technology

Method for processing vector graph by utilizing key proportional scale and similar tile technology

The invention discloses a method for processing a vector graph by utilizing a key proportional scale and a similar tile technology. The method comprises the following steps of performing grading on elements in a topographic map and naming levels; performing rectangular block segmentation on each level, and performing numbering; calculating out the key proportional scale of each level, calculatingout a display scale of the level, and performing storage; determining tiles and performing numbering; and performing storage on each piece of tile data, comprising a tile number, a size, a position and graphic data, as a whole body. According to the storage method, the response speed can be remarkably increased during opening as well as panning and zooming of the vector graph in quality graph making software.
Owner:JIANGXI UNIV OF SCI & TECH

System and method for determining a synthesized position of a vehicle

The present disclosure pertains to a system for determining a synthesized position of a vehicle. In some implementations, the system receives information related to the vehicle's location, the height above the ground surface of the terrain, and the vehicle's orientation from one or more first sensors; obtains a three dimensional topographical map of the terrain based on the location of the vehicle; and receives imagery data from one or more second sensors. The system determines a synthesized position of the vehicle relative to the terrain on the three dimensional topographical map by correlating a first pixel in the imagery data to a first vertex in the map, wherein the correlation is based on (i) pixel calibration information, the pixel calibration information comprising an angular relationship between the first pixel and the first vertex, (ii) the vehicle's height, and (iii) the vehicle's orientation.
Owner:ROGERSON AIRCRAFT CORP

Corneal topographic map discrimination method and system based on deep learning

The invention discloses a corneal topographic map discrimination method and a corneal topographic map discrimination system based on deep learning. A corneal topographic map obtained in the prior artis preprocessed to obtain corneal topographic feature data capable of being processed by a corneal topographic map discrimination model. The corneal topographic feature data is input into the cornealtopographic map discrimination model, and a corneal morphology result is obtained through the corneal topographic map discrimination model. The corneal topographic map is analyzed through the cornealtopographic map discrimination model to determine the morphological result of the corneal topographic map, a doctor can directly determine the corneal morphology according to the result output by thecorneal topographic map discrimination model, and the prediction accuracy is high. According to the corneal topographic map discrimination method and system based on deep learning provided by the invention, the trained convolutional neural network model is used for carrying out morphological discrimination on the corneal topographic map, and the problem that a corneal morphological discriminationtechnology for carrying out deep learning processing analysis on the corneal topographic map does not exist in the prior art is solved.
Owner:ZHONGSHAN OPHTHALMIC CENT SUN YAT SEN UNIV

Travel route generating device and method for generating travel route

A travel route generating device for a work vehicle includes a cell memory to store cell information with respect to cells obtained by dividing a topographical map of a work field in which the work vehicle works. A travel probability memory is to store a travel probability with respect to each of the cells. The travel probability includes a left-turn travel probability, a straight travel probability, and a right-turn travel probability in each of the cells. Circuitry is configured to determine a travel direction in each of the cells based on the travel probability of each of the cells. The work vehicle is configured to travel through each of the cells in the travel direction. The circuitry is configured to change the travel probability with respect to affected cells affected by moving the work vehicle through each of the cells.
Owner:KUBOTA LTD

Urban and rural planning result data multidirectional conversion method

The invention discloses an urban and rural planning result data multidirectional conversion method, and the method comprises the following specific steps: preprocessing a CAD topographic map, and dividing the CAD topographic map into map layers; creating a mapping relation table according to the coating attribute mapping relation; checking a topological problem in the source CAD data, and generating an error reporting data file path; automatically associating the plot code in the CAD planning soil file with the planned plot; determining urban and rural planning database standards according toan excel format method, generating a standard GIS format database, and transferring the CAD format planning drawing file into the standard format database; extracting CAD topographic map elements andconverting the CAD topographic map elements into a GIS database file; dividing layers according to layer fields, and exporting CAD color blocks as points, lines and surfaces; and converting the GIS format database into CAD format data according to the filling color and the line width style of the original CAD planning drawing file, and keeping the color and the line width style of the exported drawing file consistent with those of the original planning drawing. According to the method, the workload of data conversion is reduced to the maximum extent, and the working efficiency is improved by about 200%.
Owner:GUANGDONG URBAN & RURAL PLANNING & DESIGN INST

Pain detecting and positioning method and system based on brain waves and neural network

The invention discloses a pain detecting and positioning method and system based on brain waves and neural network, and the method comprises the steps: removing related noise of original electroencephalogram signals through independent component analysis, carrying out the pain grading of the electroencephalogram signals, carrying out the processing through a signal time division window, integrating the pain level data and then establishing a pain level data set; respectively generating spectral topographic maps of time windows of Theta, Alpha and Beta frequency bands related to pain through Fourier transform, azimuth isometric projection and a CloughTocher interpolation algorithm, and combining the spectral topographic maps into a multi-channel electroencephalogram sequence; obtaining a time-space feature vector of a brain wave sequence related to the pain degree and the pain position through a CNN-LSTM-AM neural network; and inputting the brain wave pain features learned by the CNN-LSTM-AM neural network into the pain classifier model to evaluate the pain level and the pain position. According to the invention, the pain degree change and position change characteristics of the brain waves can be accurately and efficiently extracted and processed, and the pain level and the pain position can be automatically identified.
Owner:GUANGZHOU UNIVERSITY

Corneal image point cloud selection method and system, intelligent terminal and storage medium

The invention discloses a cornea image point cloud selection method and system, an intelligent terminal and a storage medium. The method comprises the steps: obtaining a cornea Placido image, and carrying out the image enhancement of the cornea Placido image, so as to achieve the image texture enhancement of the cornea Placido image; based on the cornea Placido image after enhancement processing,identifying a bright ring center point in the cornea Placido image after enhancement processing; and based on the bright ring center point, determining a bright ring and a dark ring in the cornea Placido image after enhancement processing, and selecting point cloud according to the bright ring and the dark ring. According to the method, the point cloud density of the Placido image is further improved while the bright ring recognition difficulty is not increased, and the accuracy of the corneal topographic map can be further improved.
Owner:SHENZHEN UNIV

Bypass blood vessel determination method and system for intracranial extracerebral blood flow reconstruction

The embodiment of the invention discloses a multi-modal information guided bypass blood vessel determination method and system for intracranial and extracranial blood flow reconstruction. The method comprises the steps of obtaining a thin-layer magnetic resonance image of the brain of a patient; Obtaining a skull structure model of the brain of the patient; Obtaining a whole-brain angiography image of the brain of the patient to obtain blood vessel structure information of the brain of the patient; Obtaining cerebral blood perfusion and metabolism images of the brain of the patient to obtain metabolism and perfusion level information of the brain of the patient; Obtaining a whole brain neuron electrical activity energy spectrum and a function connection topographic map of the patient to obtain neuron activity level information of the brain of the patient; Fusing the skull structure model, the vascular structure information, the cerebral blood perfusion and metabolism information and the neuron activity level information to obtain a multi-modal stereo image of the brain of the patient; And according to the three-dimensional image, determining an operation area of the brain hemisphere of the patient, and determining an alternative bypass blood vessel. By adopting the method provided by the invention, the selection precision and reasonability of the alternative bypass blood vessels can be improved.
Owner:AFFILIATED HUSN HOSPITAL OF FUDAN UNIV

Systems, methods, and media for artificial intelligence feedback control in additive manufacturing

Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and / or electrical properties.
Owner:纳米电子成像有限公司
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