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476 results about "Auto calibration" patented technology

AGV robot guide deviation correction method

InactiveCN104407615AReduced probability of losing posesGuidance deviation correction method is simplePosition/course control in two dimensionsCommunications systemGeolocation
The invention relates to an AGV robot guide deviation correction method and belongs to the robot technology field. The AGV robot guide deviation correction method comprises steps that: step 1, Nth two-dimensional code label information and Nth RFID label information are employed; step 2, the Nth two-dimensional code label information and the Nth RFID label information are read and analyzed; step 3, the present geographic position of a robot is determined; step 4, a deviation state of the robot is determined, if the deviation state does not exist, the step 1 restarts; step 5, a path of the robot is adjusted to control a servo motor system for correcting a walking direction of the robot, after correction, when the robot walks to an N+1 two-dimensional code label or an N+1 RFID label, the step 1 restarts. The guide deviation correction method is applicable to AGV robot path navigation systems including multiple two-dimensional code labels, multiple RFID labels, a two-dimensional image acquisition system, an RFID reading system, a servo motor system, a communication system and an embedded industrial control board, is simple and easy to enforce, can automatically correct the walking direction of the robot and guarantees that the robot smoothly travels along a self path.
Owner:SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP +3

Method for automatically stitching unmanned aerial vehicle remote sensing images based on flight control information

The invention provides a method for automatically stitching unmanned aerial vehicle remote sensing images based on flight control information, which in particular realizes automatic correction and stitching of the unmanned aerial vehicle remote sensing images according to attitude parameters acquired by a flight control system. The method comprises the following steps of: correcting aircraft yaws of the images and determining adjacency relation of the images according to the attitude parameters acquired by an unmanned aerial vehicle flight control system; extracting characteristic points from the corrected images, matching the characteristic points with those of adjacent images and extracting identical points; calculating a range of the output images according to an image calculating model, comparing the range with the range determined by the attitude parameters, and if the difference is within a tolerance range, considering that the number and the quality of the identical points between the adjacent images meet the stitching requirement and the images are connected; sequentially calculating connection relation among all images and solving the maximum connection component among the images; and determining a transformation parameter by performing model calculation according to the connection component and outputting a stitched image of a research region.
Owner:REMOTE SENSING APPLIED INST CHINESE ACAD OF SCI
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