46results about How to "Error correction" patented technology

The present invention relates to the technical field of image recognition, and more particularly to a house map parameterization and re-editing modeling method. The method comprises the following steps: preprocessing a house map provided by a user; obtaining coordinates of two points of the beginning and the end of the center line of the wall and wall thickness data; carrying out cutting processing on the specific area of the door, the window, and the balcony; carrying out feature matching recognition to obtain a feature type and the coordinates of two points of the beginning and the end; according to user requirements, determining whether carrying out re-editing processing on recognition data; and carrying out three-dimensional reconstruction of the house map, and displaying the house map in a multi-angle and multi-dimension manner. The house map parameterization and re-editing modeling method provided by the present invention is a complete recognition method for basic features such as the wall, the door, the window, the balcony and so on of the house, and the re-editing function of each feature is supported; and the user can change the feature type, the material, and the size at will, so that the final display effect is more comprehensive, and actual requirements of the user are more in line with.

A pull-out guide assembly for drawers, having on both sides of the drawer a support rail on the carcass and a pull-out rail on the drawer. The load of the drawer is transmitted between the rails by rollers that are borne in running carriages. The running carriages may be moved between a front end position and a rear end position in differential manner. Locking means are provided for the running carriages and, in the event of a deviation from the differential running between the rails, they lock the running carriage on one of the rails at predetermined points between the two end positions. This locking is releasable by the movement of the rails with respect to one another.

A guide rail alignment system includes at least one connecting element, two guide rail sections, each section having two ends, joined to each other from one of their ends by the at least one connecting element, compression elements attaching at least one connecting element to the guide rail sections, and intermediate elements between the at least one connecting element and at least one of the guide rail sections. At least one of the intermediate elements is a spring that is compressible in response to tightening one or more of the compression elements.

The invention discloses a coding method, a coded graph, a coded graph reading method and a shooting device. According to the method disclosed in the invention, three of the four positioning blocks inthe coded graph are respectively positioned at three corners of the coded graph, the other positioning block is only tangent to the edge of the coded graph, and therefore an asymmetric distribution configuration of the four positioning blocks is formed. According to the method, the existing two-dimensional code standard is replaced, the authorization cost and the manufacturing cost required by theexisting two-dimensional code generation software are saved, the method is not limited by the use of the existing two-dimensional code generation software, the coded graph can be accurately and quickly positioned, and the position of the initial coded block in the coding area can be quickly found. According to the method disclosed in the invention, the size of the coding graph area and the size of the coding area can be set according to the data size of the application scene, and therefore the data information recorded by the coding graph can be flexibly set. The coding mode of the coding area is simple, and the efficiency of a scene with a small coded data size is high.

The invention provides an LDPC code hard decision decoding method based on matching pursuit, and the method employs a matching pursuit algorithm with Hamming distance as a similarity measure to solvean error pattern according to the characteristic of sparse error pattern. The method is excellent in performance and mainly comprises optimization designs in three aspects: the matching pursuit algorithm uses a Hamming distance to replace an inner product as a similarity measure, so that the matching accuracy in the decoding process is greatly improved; a credibility priority mechanism is introduced in the matching process, so that the possible mismatching condition is reduced; and the credibility is updated in each iteration. Simulation result shows that the error correction performance of the decoding method is obviously superior to that of an existing hard decision algorithm such as a weighted bit flipping (WBF) algorithm, when the error rate is 10<-6>, the error rate of the decoding method is increased by about 1.2 dB compared with that of the WBF algorithm, and when the signal to noise ratio is 8 dB, the error rate of the decoding method is reduced by about 2 orders of magnitude compared with that of the WBF. In addition, the method also maintains the advantages of low complexity of hard decision decoding time, easiness in hardware implementation and the like.

The embodiment of the invention provides a Chinese error correction model training method and a Chinese error correction method and device, and the method comprises the steps: pre-training an initialmodel based on a first training data set, and obtaining a first pre-training model; finely adjusting the first pre-training model based on the first training data set and a second training data set toobtain a Chinese error correction model, wherein the first training data set comprises a plurality of sample quadruples, and each sample quadruple is composed of four elements including a Chinese corpus, a pinyin sequence, a stroke sequence and a picture sequence, the second training data set comprises a plurality of similar sample quadruples, and the similar sample quadruples are obtained by replacing characters corresponding to similar characters in any Chinese corpus based on the similar characters in the Chinese corpus. According to the training method of the Chinese error correction model and the Chinese error correction method and device provided by the embodiment of the invention, the generation efficiency and richness of the training data are improved, and the error correction effect of the trained Chinese error correction model is relatively good.

A correction method for grabbing and positioning errors of a mobile robot is characterized in that the method is applied to the mobile robot with a grabbing mechanical arm, and the grabbing mechanical arm is provided with an image obtaining device; and the method comprises the specific steps that the robot moves to a first position, and the first position is located in front of a storage device; the grabbing mechanical arm is adjusted, so that the image obtaining device is located at the first shooting point, and a feature image of a feature marker located on the storage device is obtained; a space rectangular coordinate system is established, and coordinates of feature sites of the feature marker are obtained in combination with data of the feature image; and the offset of the grabbing mechanical arm and a preset standard position is calculated according to the coordinates of the feature sites and the actual size numerical value of the feature marker, and the grabbing point coordinates and the posture of the grabbing mechanical arm relative to the storage device are corrected. The invention further provides a correction system for grabbing and positioning errors and a robot. The problems that the positioning precision is not high enough, the hardware cost is high, and the positioning speed is low are solved through the provided correction method, system and robot.