402 results about "Fish eye" patented technology

The invention provides a GNSS data quality prediction method and device based on a fisheye camera, and a medium, and belongs to the technical field of data processing, and the method comprises the steps: determining the satellite orbit information of a future time period with a to-be-evaluated observation station as a reference point based on ephemeris prediction; according to the fisheye sky image shot at the to-be-evaluated observation station and the satellite orbit information, determining satellite feature data of a future time period and the occlusion porosity of the future time period; respectively inputting the occlusion porosity of the future time period and at least part of satellite feature data of the future time period into a general prediction model and an observation station prediction model corresponding to the observation station to be evaluated for data quality evaluation, and obtaining a first data quality evaluation index and a second data quality evaluation index; and determining a data quality prediction result based on the first data quality evaluation index and the second data quality evaluation index. A general prediction model and an observation station exclusive prediction model are introduced to carry out double-model evaluation, and accurate prediction of GNSS observation data quality is realized.

The invention discloses a wafer nanoscale defect detection system and method based on multi-mode and feature fusion, the system comprises a multi-band LED light source group, a CMOS camera, a telecentric imaging lens and a displacement platform, the multi-band LED light source group is arranged at the uppermost part, and the CMOS camera, the telecentric imaging lens and the displacement platform are sequentially arranged below the multi-band LED light source group; the multiband LED light source group comprises an angle gt; an incident light LED with the angle of 70 degrees, an incident light LED with the angle of 10-30 degrees, a coherent light source and a phase shift module; the CMOS camera shoots a wafer picture, and the telecentric imaging lens captures details on the surface of the wafer; the displacement platform bears the wafer and carries out displacement. According to the method, the limitation of two-dimensional detection is broken through, and on the premise of not sacrificing the detection speed, high-sensitivity, high-precision and quantifiable online automatic detection of fisheye, pinhole and segment difference defects is realized through an innovative optical system design, a quasi-three-dimensional morphology reconstruction technology and an advanced deep learning network architecture.

The invention relates to the technical field of vehicle visual perception, and particularly discloses a multi-fisheye camera aerial view construction method and system for automatic driving, and the method comprises the steps: carrying out the offline calibration of each fisheye camera based on a polynomial fisheye imaging model, constructing a pixel back projection lookup table, and carrying out the offline calibration of each fisheye camera; performing table lookup type distortion removal processing on the acquired fisheye image; extracting multi-region checkerboard angular points, and establishing a cross-view-angle corresponding point set; solving an initial homography matrix from each fisheye camera to the aerial view reference plane, constructing a joint objective function including a checkerboard re-projection error, an overlapping region alignment error and a physical scale constraint, and performing global joint optimization on all the homography matrixes; generating each path of aerial view sub-graph by adopting a reverse mapping strategy; according to the method, the calibration process is visual, the geometric accuracy, the real-time performance and the engineering transportability are high, and the method is suitable for automatic parking, a vehicle looking-around system and automatic driving environment perception.

The invention relates to the technical field, and discloses a fisheye test needle group for testing a circuit board, which comprises a test board, the test board comprises a heating pressing block, an insulating component and a base, a test sample is placed between the heating pressing block and the insulating component, the test sample comprises a sample body and fisheye needles extending from pins on the sample body, and the fisheye needles are arranged on the base. A plurality of groups of double-end probes and elastic sheets are mounted in the base and are in butt joint with fisheye needles, the fisheye needles, the double-end probes and the elastic sheets form a test needle group, when the test sample sinks, the fisheye needles are in butt joint with the double-end probes, the elastic sheets are in butt joint with the fisheye needles to form two pairs of contacts, and when the test sample sinks to guide a first pair of contacts to appear, the first pair of contacts are in butt joint with the fisheye needles. And the wedge-shaped surface in the sinking direction guides the elastic sheet to incline so as to form the second pair of contacts, so that the current and voltage required by Kelvin testing can be met, the two pairs of contacts and a plurality of testing points are integrated in a single structure, and the use requirement is met by the appearance of lateral force while vertical downward force exists.

A 3D measurement system, a laser scanner and a measurement device are provided. The system includes a 3D measurement device and a 360 degree image acquisition system coupled in a fixed relationship to the 3D measurement device. The 360 degree image acquisition system includes a first photosensitive array operably coupled to a first lens, the first lens having a first optical axis in a first direction, the first lens being configured to provide a first field of view greater than 180 degrees. The image acquisition system further includes a second photosensitive array operably coupled to a second lens, the second lens having a second optical axis in a second direction, the second direction is opposite the first direction, the second lens being configured to provide a second field of view greater than 180 degrees. Wherein the first field of view at least partially overlaps with the second field of view.

An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data corresponding to a wide angle field of view from a lens. The processor may be configured to receive a distortion specification corresponding the lens, generate pixel data arranged as a single calibration image in response to the wide angle field of view of the lens, perform calibration operations in response to the distortion specification and the single calibration image, and determine a distortion curve configured to correct a distortion of the lens in response to the calibration operations. A calibration scene may be captured in the single calibration image. The calibration scene may comprise three planes with a dot pattern. The calibration operations may comprise calculating an optical center of the lens and calculating the distortion curve in response to the dot pattern.

In the field of piping inspection technology, a fisheye lens unit and a non-destructive piping inspection device are provided. The system comprises a support plate 1, a connecting sleeve 2, a fixed plate 3, a connecting plate, and a fisheye lens, with an arc-shaped groove 6 drilled in the support plate. A first motor 8 realizes circumferential rotation scanning of the fisheye lens through the meshing transmission of a gear 10 and an internal gear 9, and a second motor 13 of the movement mechanism drives a chain transmission to realize axial movement of the fisheye lens. The two motor control systems operate independently, and a multi-degree-of-freedom flexible support system ensures that the fisheye lens can adapt to different pipe diameters and curved piping environments.

The invention relates to the technical field of camera on-orbit calibration, in particular to a fisheye camera on-orbit calibration method based on a starlight vector, which comprises the following steps of: S1, acquiring a plurality of star maps observed by a fisheye camera on orbit, and extracting and denoising star points to form a star point set; s2, according to fisheye imaging distortion distribution, a star point located in an imaging center area is selected from a star point set, and a starlight vector is constructed based on image point coordinates of the star point in combination with star catalogue data subjected to space-time deviation and propagation path deviation correction; and S3, performing local geometrical relationship star point matching on the starlight vector in the step S2. According to the method, the multiple star maps observed by the fisheye camera in orbit are obtained and processed to form the star point set, so that the problems of poor in-orbit calibration applicability and low precision caused by the fact that most traditional fisheye camera calibration methods adopt a ground pre-calibration or space reference object arrangement mode are solved.

The invention discloses a multi-view fisheye camera real-time look-around image splicing method and device, and relates to the technical field of image processing, the method generates a lookup table (LUT) based on calibration parameters, converts a fisheye image distortion removal correction process into a table lookup operation, avoids real-time calculation one by one pixel, significantly reduces the operation overhead, and improves the image quality. And the system can keep low-delay processing under the condition of high-resolution input. According to the method, self-adaptive feathering weight distribution is introduced into a seam band, local energy matching and a multi-band fusion method are combined, and the width and the weight of a splicing area are dynamically adjusted according to scene brightness and contrast difference, so that ghosting and brightness abrupt change at the seam are effectively reduced, and the smoothness of splicing transition is ensured.

The application discloses a fisheye image correction method and system based on a geometric model and an effective area extraction algorithm, and relates to the field of image processing.The method comprises the following steps: scanning pixel points from the center of a picture outward, judging the edge condition of a fisheye image where the current row and column are located according to the scanning result, adaptively adjusting the scanning step length, and further shortening the scanning time; and the ratio of the width and height of the fisheye image to the whole picture can be used to distinguish the light spot and the fisheye image, so that the accurate fisheye image radius can be obtained in real time in different devices and various measured pictures, and the image correction based on the geometric model is carried out by using the parameter, so that the accuracy of the extracted fisheye image is ensured, and the fisheye effective area can be extracted in different devices and various measured pictures.

The invention provides a multi-level domain adaptive pedestrian detection method and system based on a teacher model, and the method comprises the steps: training a target detector through employing source domain perspective image data with a pedestrian label, and obtaining an initial target detector; constructing a target domain teacher model and a cross-domain student model; and performing multi-level domain adaptive adversarial training by using the cross-domain student model, updating parameters of the target domain teacher model through index moving average of the weight of the cross-domain student model, generating a pseudo label to supervise the multi-level domain adaptive adversarial training of the cross-domain student model, and optimizing the cross-domain student model in combination with a designed loss function. Obtaining a final cross-domain student model; and detecting pedestrians in the overlooking fisheye image to be detected based on the final cross-domain student model. According to the technical scheme of the invention, the requirements of people flow statistics, safety monitoring and people flow guidance on rapid and accurate detection of pedestrians in a scene can be met.

The invention discloses a high-speed connector fisheye structure electromechanical performance analysis and prediction method based on interpretable machine learning, and relates to the field of electronic component design and machine learning. The method comprises the following steps: firstly, analyzing a fisheye structure, determining seven key geometric parameters, constructing a multi-size model, and obtaining maximum insertion force, maximum pullout force and contact resistance peak data through finite element simulation; constructing a data set, dividing a training set and a test set, training a machine learning model, and evaluating precision by using Rand RMSE; then the influence of each geometric feature on the electromechanical performance is analyzed and quantified through SHAP; and finally predicting the electromechanical performance of the new structure based on the model. According to the method, machine learning and fisheye structure design are fused for the first time, the problems that existing fisheye structure design is low in efficiency and high in cost and a machine learning model lacks physical interpretation are effectively solved, and the fisheye structure design period and cost are remarkably shortened.

The invention discloses an obstacle distance measurement method and system based on panoramic tiled display. Four-way or six-way fisheye cameras are installed on a vehicle, images around a vehicle body are collected, 3D rendering splicing is carried out based on calibration data (internal parameters / external parameters), and a 360-degree panoramic aerial view image is generated. A user clicks two points of a screen through a display terminal, a system converts screen coordinates into 3D normalized vertex coordinates through viewport inverse transformation, relative coordinate differences are calculated and then expanded into homogeneous coordinates, the homogeneous coordinates are converted into physical coordinate differences in combination with a pre-stored rendering transformation matrix inverse matrix (generated by model / projection / view transformation combination), and the 3D normalized vertex coordinates are converted into 3D normalized vertex coordinates. And finally calculating the actual physical distance between the two points. The system supports dynamic refreshing of a ranging result and renders a distance marking line on a panoramic image. According to the method, through multi-camera calibration, coordinate space mapping and a matrix transformation algorithm, interactive obstacle distance measurement in a vehicle-mounted panoramic display scene is realized, and the method is suitable for intelligent driving, vehicle auxiliary driving and other scenes.

The invention discloses a high-vibration-resistant blind hole fisheye structure, and relates to the technical field of connectors, the high-vibration-resistant blind hole fisheye structure comprises a fisheye terminal, the fisheye terminal is provided with an insertion part, a shoulder part, a rod part and a tail part, and the insertion part, the shoulder part, the rod part and the tail part are sequentially arranged in a linear crimping manner along a single direction; wherein the insertion part is sequentially composed of a pre-insertion area, an insertion area, a transition area, a mechanical holding area and a fisheye strength area, the pre-insertion area is used for providing a guiding effect to insert the PCB, the insertion area forms an acting force, the transition area is used for connecting the insertion area and the mechanical holding area, the mechanical holding area forms an anti-vibration effect, and the fisheye strength area is used for providing terminal strength. The insertion area, the transition area and the mechanical holding area form a fisheye groove with an anti-vibration effect; guide grooves are formed in the inner walls of the fisheye grooves, and elastic supporting assemblies for keeping the distance between every two adjacent guide grooves are arranged between the adjacent guide grooves. According to the invention, the blind hole fisheye structure has good guidance quality, forms retention, insertion and anti-vibration acting forces, and is suitable for a high-vibration environment.

The invention relates to the technical field of automatic driving vehicle cameras, in particular to internal reference calibration and triangulation equipment which comprises a rack, a display screen is installed on one side of the surface of the rack, and the display screen is used for display work of the whole equipment; a calibration rotating mechanism is arranged on the surface of the rack, a fish eye light box mechanism is arranged above the calibration rotating mechanism, a Chart plate light box mechanism is arranged on one side of the rack, and a light pipe mechanism is further connected to the surface of the rack. By arranging the Chart plate light box mechanism, the fish eye light box mechanism and the light pipe mechanism, three kinds of environment tests are integrated on one device, detection work of products at different angles is achieved, the use range of the device is expanded, the three-angle testing function is achieved through one device, time and labor are saved, and the product testing cost is saved; and meanwhile, the calibration rotating mechanism is arranged, so that automatic positioning and clamping work of the product is achieved, and adjustment work at different angles is achieved.

The invention provides a multi-camera image processing method and system, electronic equipment and a medium, and belongs to the technical field of aerial view, and the method comprises the steps: obtaining fisheye images shot by a plurality of fisheye cameras; converting the image features of each fisheye image into corresponding aerial view features through a feature transmission matrix; and performing aerial view feature fusion through a distortion perception learning pooling layer. According to the method, the advantage of a large field angle of the fisheye camera is utilized, efficient feature conversion is achieved in combination with matrix multiplication, feature fusion is optimized through a distortion perception pooling layer, and the problem of radial image distortion of the fisheye camera is effectively solved; according to the invention, through feature compression and matrix decomposition technologies, the calculation amount and memory occupation of multi-camera BEV feature fusion are greatly reduced; the shielding reasoning module is introduced, and the shielding problem in the BEV space can be effectively solved.

Fisheye images that include objects at first, second, and third angles into rectilinear images are transformed with a first image transformation and the rectilinear images are transformed into bird's eye view images with a second image transformation. The bird's eye view images can be transformed into multiple images that include objects at multiple angles intermediate between the first, second, and third angles to generate a training dataset that includes ground truth regarding the multiple angles with a third image transformation. A machine learning model can be trained with the training dataset. A machine such as a vehicle can be operated with output from the machine learning model.

The invention provides a pipeline defect detection method, electronic equipment and a storage medium, and relates to the technical field of computer vision. The method comprises the following steps: performing coordinate conversion on an initial fisheye video stream to obtain a multi-frame plane image; for any frame of plane image, determining a binarization mask of the frame of plane image based on a semantic segmentation network, and extracting feature points of a pipe wall region in the frame of plane image by taking the binarization mask as a constraint to form a feature point set; determining an optimal suture line between any two adjacent frames of feature point sets by adopting a graph cut algorithm based on energy minimization, and carrying out splicing to obtain a pipeline panorama; and identifying the pipeline panorama by using a deep neural network model to perform defect identification to obtain a target defect. According to the method, the binarization mask is used as a constraint, and non-pipe wall area interference is eliminated; an optimal suture line is determined and splicing is completed based on an energy minimization graph cut algorithm, so that inter-frame splicing gaps and artifacts are effectively eliminated, and rapid and accurate detection of target defects can be realized.

The utility model discloses a fisheye terminal and a novel plug connector. A hole groove which is in a fisheye shape and penetrates through a terminal body in the radial direction is formed in the middle of one end of the terminal body. According to the utility model, the fisheye-shaped hole groove is arranged at the end part of the terminal, and the guide part, the clamping part and the positioning part are formed at the two sides of the periphery of the fisheye-shaped hole groove, so that the fisheye-shaped end part can be directly inserted into the positioning hole groove with a conduction structure on a PCB (Printed Circuit Board) in the conduction process of the terminal, and the insertion depth of the fisheye terminal is limited through the shoulder on the positioning part; the protruding middle part of the clamping part abuts against the inner wall of the positioning hole groove, so that the terminal can be stably clamped on the PCB without welding, the operation is efficient and rapid, and the yield is high.

The present disclosure provides a method and device for determining the position of an object, electronic equipment and storage medium, relating to the technical field of computer, and particularly to the technical field of artificial intelligence such as image processing, automatic driving, intelligent transportation, and intelligent logistics. The specific scheme is as follows: first, a fisheye camera acquires a first image at a current time, and identifies the first image to determine target boundary points of a target object contained in the first image; then, a historical size of the target object is acquired; and finally, based on the historical size and the target boundary points, a current position of the target object is determined.

The utility model discloses an ECU fisheye connector, and relates to the technical field of electric connectors. Comprising an insulating base and a plurality of fisheye terminals, a butt joint port and a PCB mounting groove are formed in the insulating base, a section of each fisheye terminal is provided with a fixing block in a molding mode, the fisheye terminals are mounted at one position of the PCB mounting groove through the fixing blocks, and meanwhile, inserting parts of the fisheye terminals are arranged at the butt joint port. According to the scheme, in order to ensure that the insertion process of the PCB in the mounting groove has accurate guiding and effective limiting, the fisheye parts of the plurality of fisheye terminals are uniformly arranged upwards towards the notch direction of the PCB mounting groove, so that the fisheye parts are structurally arranged upwards to facilitate subsequent positioning or auxiliary connection with an external system.

This application discloses a method, device, and automatic parking system for mechanical parking space recognition, belonging to the field of intelligent driving technology. The method includes: during the vehicle's parking space search phase, processing a first bird's-eye view image corresponding to a first image captured by an onboard fisheye lens using a parking search model to obtain first parking space information for at least one mechanical parking space, the first parking space information including initial position information; determining a target parking space to be parked in from the at least one mechanical parking space based on the first parking space information; after the vehicle enters the parking phase targeting the target parking space, processing a second bird's-eye view image corresponding to a second image captured by the onboard fisheye lens using a parking model to obtain second parking space information for the target parking space, the second parking space information including entrance corner coordinate information and a mechanical parking space line segmentation mask; correcting the initial position information of the target parking space based on the second parking space information to obtain the target position information of the target parking space. This application can improve the accuracy of mechanical parking space corner points.

The application provides a pinhole image splicing true value acquisition and splicing method based on a heterogeneous camera combination. The acquisition method first symmetrically installs two pinhole cameras on a support, and installs an fisheye camera between the two pinhole cameras. Based on a double spherical camera model, the three cameras are calibrated to obtain the internal parameters and external parameters of the three cameras. The left eye pinhole view, the right eye pinhole view and the middle eye fisheye view of the target scene are simultaneously acquired by using the three cameras. The middle eye fisheye view is subjected to equirectangular projection. According to the internal parameters and external parameters of the three cameras, the left eye pinhole view and the right eye pinhole view are projected to the equirectangular projection view plane respectively, multi-camera coordinate system one is completed, and the splicing true value is obtained. The application has the core advantages of the hardware structure design and the heterogeneous camera image registration algorithm, can stably acquire images without seams and time sequence consistency, and provides strong support for the true value reference of the precision verification and model training of subsequent panoramic video splicing.

An image processing apparatus that can complete an image process with a frame rate at a time of streaming. The image processing apparatus is communicably connected to a display device that displays a left eye image viewable by a left eye and a right eye image viewable by a right eye. The image processing apparatus includes a memory device that stores instructions and a processor that executes the instructions to obtain a fisheye image that is a moving image captured using a fisheye lens, perform an image process to reduce a distortion on one image between a left eye image and a right eye image in a case where the fisheye image includes the left eye image and the right eye image, and perform the image process on another image in a case where the image process for the one image is completed within a predetermined time period.

A fisheye terminal structure comprises a butt joint piece, a limiting piece and a plug connector. And the butt joint piece is arranged to be electrically connected with a terminal of a counter electric connector. The limiting piece is connected to the butt joint piece, has the width larger than the diameter of the insertion hole and abuts against the circuit board. The plug connector is connected to the limiting piece, is provided with a fisheye structure and is arranged to be inserted into a plug hole of the circuit board, the fisheye structure comprises a plug part, a connecting part and a deformation abutting part, the plug part and the connecting part are arranged at the two opposite ends of the deformation abutting part respectively, the connecting part is connected to the limiting piece, and the deformation abutting part is connected to the limiting piece. The two arc-shaped stress deformation bodies of the deformation abutting part are connected with each other to form a symmetrical structure with a fisheye hole in the center. The joint of the inserting part and the arc-shaped elastic deformation body has a first curvature radius, the part, close to the inserting part, of the arc-shaped stress deformation body has a second curvature radius, the part, close to the connecting part, of the arc-shaped stress deformation body has a third curvature radius, the second curvature radius is larger than the third curvature radius, and the third curvature radius is larger than the first curvature radius.

1. The name of the design product: terminal (fish eye buffer integrated needle 2). 2. The use of the design product: HPD module power signal terminal. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

1. Name of the product in this design: Lens (Surround View Fisheye). 2. Purpose of this design: For use in lenses. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a license plate and person information desensitization method and system of a four-way polling fisheye picture, and the method comprises the following steps: S1, model training: constructing and optimizing a neural network model for target detection, and generating a final weight file; and S2, model detection: carrying out real-time target detection and desensitization processing on the input multi-channel video stream by utilizing the weight file obtained by training in the step S1. The invention aims to improve the detection robustness in a complex scene and optimize the calculation efficiency so as to support real-time and reliable desensitization operation in a vehicle-mounted environment.

The objective is to provide an image processing device, a display device, an image processing system, a control method for the image processing device, and a program that can complete image processing in accordance with the frame rate during distribution. [Solution] The image processing device 110 is connected to the HMD 120 which displays the left eye image and the right eye image in a communicative manner. The image processing device 110 includes an acquisition means (control unit 205) capable of acquiring a fisheye image, which is a video captured using a fisheye lens, and an image processing means (control unit 205) that performs image processing to reduce distortion on the fisheye image. If the fisheye image includes a left eye image and a right eye image, the image processing means performs image processing on one of the left eye image and the right eye image, and if the image processing on one image is performed within a predetermined time, it performs image processing on the other image.

The invention relates to the field of image processing, and provides an image generation method, electronic equipment and a vehicle, and the method comprises the steps: obtaining a fisheye image corresponding to the current position of the vehicle, projecting each pixel point in the fisheye image to a preset spherical model, and determining a first projection point corresponding to each pixel point; projecting each first projection point to a preset cylinder model to obtain a second projection point corresponding to each first projection point; and obtaining target internal and external parameter data corresponding to the fisheye image, and performing texture mapping processing on all the second projection points according to the target internal and external parameter data to obtain a planetary visual angle top view corresponding to the current position of the vehicle. The fisheye image is sequentially projected twice through the spherical model and the cylinder model, alignment of ground textures is achieved due to the fact that the radius of the bottom face of the cylinder is large, points far away from the center can be compressed through vertex transformation of the spherical model, and therefore the problem that far ground points are seriously stretched is avoided, and the accuracy of ground texture alignment is improved. And the accuracy of the planetary view angle top view is improved.