13 results about "Line fitting" patented technology

This invention provides a method and system for cargo positioning in an automated storage and retrieval system (AS / RS). The method includes acquiring point cloud data of stacked goods; preprocessing the point cloud data to obtain preprocessed point cloud data; performing iterative plane fitting on the preprocessed point cloud data to obtain a fitting plane; projecting the preprocessed point cloud data onto the fitting plane to obtain a projected point cloud; extracting edges from the projected point cloud to obtain point cloud edges; performing line fitting and matrix determination based on the point cloud edges to obtain a transformation matrix; and outputting the coordinates of the target cargo based on the transformation matrix and the projected point cloud. This invention effectively improves the processing efficiency and accuracy of point cloud data by performing a series of processing steps on the original point cloud data, while effectively capturing the edge information of the cargo, thus improving the accuracy of subsequent positioning and recognition. A coordinate system is then established based on the boundaries, and the size and pose information of the target cargo are determined through affine transformation.

This invention relates to the field of image data processing, and more particularly to an image data processing method and system for lens plastic parts. The method includes: acquiring an edge image of the surface of the lens plastic part; performing path search based on the pixels in the edge image; for each search path obtained, fitting a corresponding fitted line based on the pixels on the search path; calculating the smoothness of the corresponding search path based on the fitted line; and determining that the area corresponding to the search path is a scratch defect when the smoothness is greater than a preset threshold. This invention, by combining edge detection, path search, and line fitting, can effectively distinguish between real scratches and random uneven textures, significantly reducing the false detection and false negative rates.

The application provides a fixed target pose deviation monitoring method based on single-line laser radar, belongs to the technical field of pose deviation monitoring, and comprises the following steps: point cloud data acquisition and preprocessing; point cloud clustering; target cluster screening and tracking; straight line fitting; pose deviation calculation and angle deviation output; the method has good lightweight advantage, and the hardware cost is much lower than that of multi-line radar or a complex vision system; the method has high precision and strong robustness: through multi-stage screening and random point filtering, the influence of environmental interference and noise points is effectively excluded, the processing time of each frame of data can be set to be in millisecond level, the demand of most real-time monitoring scenes can be met, the work is safe and reliable, and the method is suitable for popularization and application.

The application discloses a lane line identification method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a current road image and performing lane line segmentation to obtain a lane line segmentation result of the current road image; using a preset block strategy to block the lane line segmentation result to obtain lane line segmentation results of a plurality of block regions, wherein the plurality of block regions comprise a first block region and a second block region; determining a lane line fitting result of the first block region according to the lane line segmentation result of the first block region; and using a preset iterative optimization strategy to iteratively optimize the lane line fitting result of the first block region according to the lane line segmentation result of the second block region to obtain a lane line identification result of the current road image. The application iteratively optimizes the lane line fitting result, reduces the influence of inaccurate lane line instance segmentation results on lane line identification accuracy, and improves lane line identification accuracy and stability.

The application discloses a line design parameter automatic checking method and system for linear rectification calculation, parameter configuration is carried out on railway line design specifications, and a specification configuration file is generated; linear fitting is carried out on a railway line according to a plane and a longitudinal plane respectively, and plane fitting parameters and longitudinal plane fitting parameters to be checked are acquired; project configuration information of the railway line is acquired, the specification configuration file is parsed according to the project configuration information, and plane design specifications and longitudinal plane design specifications of the railway line are acquired; and the plane fitting parameters and the longitudinal plane fitting parameters to be checked are automatically checked based on the plane design specifications and the longitudinal plane design specifications. The fitting parameters that do not meet the requirements of the line design specifications are dynamically identified to prompt a user to optimize and adjust, and the software is high in automatic degree and smooth in algorithm through a joint linear fitting module, so that the workload of manual adjustment is greatly reduced on the basis of ensuring the accuracy of the line fitting result.

This invention discloses a machine vision-based method for extracting the Region of Interest (ROI) of rail pads under unlimited positioning conditions, belonging to the fields of image processing and automated inspection technology. The technical problem it solves is how to accurately extract the Region of Interest (ROI) of rail pads under unlimited positioning conditions using a camera to support subsequent measurements. The implementation of the machine vision-based ROI extraction method for rail pads under unlimited positioning conditions includes: enhancing the brightness and converting the captured rail pad image to grayscale; extracting edges using a Canny edge detection algorithm combined with adaptive median filtering; accurately locating the outer contour of the pad using a line fitting and filtering algorithm, determining the reference point, and then performing geometric transformation to align the image; and accurately extracting the ROI based on the reference point and the geometrically transformed pad image. This invention effectively solves the problems of severe image noise interference and difficulty in locating rail pads under unlimited positioning conditions, providing an efficient and reliable technical solution for the automated inspection of rail pads.

The application provides a mower calibration method and device, electronic equipment, a storage medium and a mower. The method comprises the following steps: collecting a preset number of position data of the mower during movement relative to a charging pile; performing straight line fitting using the preset number of position data; and if the preset number of position data fits a straight line, determining the orientation of the charging pile according to the slope of the fitted straight line. Accordingly, the application can accurately determine the orientation of the charging pile, and has the advantages of high calibration accuracy and low calibration cost.

The application discloses a battery welding mark defect detection method and device based on 3D point cloud segmentation and a medium, relates to the technical field of welding mark defect detection, and establishes quick indexing to realize batch data reading and quick regional segmentation by organizing original point cloud data in a matrix form; after any rectangular region is segmented by columns, each column sub-point cloud retains trajectory continuity along a scanning direction, direct line fitting can be performed to construct a local reference line, and calculation amount is reduced; by calculating distance deviation of point clouds in each segmented region to the corresponding reference line, abnormal points deviating from the reference line can be quickly located, the application only needs once matrix indexing conversion, once regional segmentation and once line fitting operation, avoids time-consuming nearest neighbor search, surface reconstruction or voxelization process in traditional point cloud processing, can accurately identify typical defect types such as broken welding, cracks and welding tumors, and effectively improves detection precision and efficiency.

This application discloses a scraper deflection and chain breakage identification system and method based on thermal imaging and multi-dimensional quality screening, relating to the field of industrial equipment fault detection technology. The system includes a thermal imaging data acquisition module that acquires thermal imaging images or videos of a scraper conveyor and outputs raw data containing thermal features of the chain and scraper; a multi-dimensional quality screening module that preprocesses the raw data and outputs a valid image dataset; an instance segmentation model training module that trains a recognition model based on the dataset and outputs the trained model; a mask post-processing module that uses the model to infer real-time images and outputs a target mask; a line fitting module that processes the target mask and fits and outputs a straight line equation; a chain breakage feature detection module that performs chain link continuity analysis, gap detection, and thermal feature mutation identification and outputs a chain breakage judgment result; and an angle calculation and comprehensive judgment module that calculates three types of angles and, combined with the mask integrity and chain breakage result, outputs a warning level and judgment result.

This application relates to an automatic identification method, apparatus, device, and medium for pointer-type instrument readings. The method includes: obtaining the position coordinates of the digital characters of the current instrument based on the current instrument image to be identified; obtaining the first center coordinates and a first radius of the dial based on the position coordinates of the digital characters; determining the coordinates of the pointer intersection point; obtaining a pointer-interference-free image based on the first center coordinates and the pointer intersection point coordinates; obtaining a target scale line skeleton; performing straight line fitting based on the target scale skeleton to obtain a set of candidate scale line segments; obtaining the second center coordinates and a second radius based on the coordinates of the outer endpoints of each line segment in the candidate scale line segment set; establishing an anchor point mapping relationship between the digital characters and the scale based on the candidate scale line segment set, the position coordinates of the digital characters, and the second center coordinates; and calculating the current instrument reading based on the anchor point mapping relationship and the pointer intersection point coordinates. This application effectively eliminates pointer interference and improves the accuracy of determining the geometric center of the dial.

The invention provides a method for generating a global operation path of agricultural machinery in a tea-oil garden based on unmanned aerial vehicle vision, which comprises the following steps of: firstly, acquiring images by using an unmanned aerial vehicle to construct a data set, and performing improvement based on a YOLOv11 model: embedding an EMA attention mechanism to enhance feature focusing capability, and adopting a SlideLoss loss function to optimize multi-scale crown positioning precision; then, the trained model is used for detecting a tree crown and extracting a central point of the tree crown; and finally, performing clustering and straight line fitting based on central point distribution to extract a navigation baseline, and further generating a smooth global operation path shaped like a Chinese character'gong '. According to the method, only the consumer-level unmanned aerial vehicle and the RGB camera are needed, so that the cost is low; through a new normal form of planning through detection, complex three-dimensional reconstruction is avoided, and the process is efficient; the detection precision on a self-built data set is excellent; the generated path is highly similar to the GNSS reference path, and a solution with high cost performance is provided for autonomous operation of the agricultural machinery in the camellia oleifera garden.

This application relates to lane line fitting and tracking methods, apparatuses, electronic devices, media, and products. The method includes: acquiring the original point sets of each lane line in the current frame image in the vehicle coordinate system; based on the spatial relationship between the point sets, associating and merging multiple original point sets belonging to the same lane line to obtain a merged point set for each lane line; and based on the merged point set of each lane line, determining the lane line information for that lane line in the current frame. The lane line information includes lane line fitting coefficients obtained by polynomial fitting of the merged point set, the vehicle coordinates of the merged point set in the vehicle coordinate system, and the world coordinates of the merged point set in the world coordinate system. This lane line information is used for subsequent lane line tracking. This application can increase the number of lane line points included in the effective point set that can be used for lane line fitting, ensuring the generalizability of the lane line fitting parameters from the source, and laying the foundation for subsequent continuous and stable lane line tracking.