1383 results about "High definition" patented technology

The invention discloses a photovoltaic cleaning robot based on automatic path planning and an operation method thereof, relates to the technical field of robots, and solves the problem of cleaning blind spots in an existing cleaning robot and the endless loop risk of a path planning algorithm. According to the invention, the surface information of the photovoltaic panel is accurately captured through the multispectral acquisition module, a high-resolution and high-definition comprehensive image is generated through the data fusion processing module, then dirt is accurately identified on different scales by using a multi-scale pyramid structure and an adaptive feature fusion mechanism, and an attention mechanism and environmental perception data are combined, so that the real-time performance of the system is improved. The recognition threshold is dynamically adjusted, and misrecognition and missing detection are reduced; and finally, enabling the robot to autonomously learn in a complex environment and optimize an obstacle avoidance strategy through a dynamic obstacle avoidance algorithm based on deep reinforcement learning. The intelligent level and the cleaning effect of an existing photovoltaic cleaning robot are greatly improved.

The invention discloses a global dynamic optimization system for an ultra-high-definition glass-based display screen. The operation process of the system specifically comprises the following steps: acquiring a real-time state data set of the display screen; generating an initial optimization parameter set based on a preset optimization strategy and the user behavior model; capturing a user interaction signal and an environment change signal in real time; generating a dynamic correction coefficient set according to the user interaction signal and the environment change signal; performing global parameter fusion based on the initial optimization parameter set and the dynamic correction coefficient set to generate a target optimization instruction set; and feeding back an optimization effect evaluation table based on the optimization effect. The method has the following advantages and effects: collaborative optimization and thermodynamic balance of global display parameters are realized, the system can balance visual experience improvement and thermal diffusion suppression requirements in real time through multi-dimensional data fusion and global parameter collaborative calculation, and the system can improve the visual experience while enhancing local contrast and optimizing color rendition. And actively inhibiting the temperature rise of the screen through thermodynamic equilibrium constraint.

Approaches presented herein provide for the training of a language model to provide human-style reasoning or “train-of-thought” support for generated inferences. In at least one embodiment, a language model can be used to assist in the generation and / or annotation of content for a specific domain or type of data. This can include, for example, tasks such as performing quality checks for high definition (HD), standard definition (SD), and / or navigational maps. In the mapping context, a language model can be trained using a large set of rules relevant to the mapping domain, in order to become a domain expert. In addition to training the language model on domain-specific rules and data, the language model can be further trained based at least in part on human feedback, such as corrections made to map data by an authorized human.

The invention relates to the technical field of image processing, in particular to a low-light and infrared image fused night vision imaging method and system. According to the method, multi-source data collaboration is realized by constructing a dual-band polarization feature cube, a degradation rule of fog scattering on low-light texture is accurately quantified, and a scattering invariance enhanced image is generated; based on fog concentration gradient dynamic partitioning, low-light details and infrared contours are fused in a low-concentration area, polarization state penetrating dense fog is recombined in a high-concentration area, finally, a night vision image with high definition, high scattering resistance and scene adaptability is output, and the identification capacity and monitoring reliability of fog night road targets are improved.

Disclosed are techniques for localization of an object. For example, a device can generate, based on sensor data obtained from sensor(s) associated with an object, a predicted map comprising predicted nodes associated with a predicted location of the object within an environment. The device can receive a high definition (HD) map comprising HD nodes associated with a HD location of the object within the environment. The device can further match the predicted nodes with the HD nodes to determine pair(s) of matched nodes between the predicted map and the HD map. The device can determine, based on a comparison between nodes in each pair of the pair(s) of matched nodes, a respective node score for each pair of the pair(s) of matched nodes. The device can determine, based on the respective node score for each pair of the pair(s) of matched nodes, a location of the object within the environment.

The invention discloses an image super-resolution reconstruction method based on compressed sensing, and belongs to the field of image reconstruction. The problems that the updating speed of existing hardware cannot meet the requirement for signal precision, and on the premise that the hardware cost is not increased, an image with higher definition cannot be reconstructed are solved. The invention discloses an image super-resolution reconstruction method based on compressed sensing, and the method comprises the steps: designing a dictionary learning process, and obtaining high-frequency component parameters needed in image restoration; comprising the steps of constructing a training data set and performing dictionary training; wherein a corresponding low-resolution image is obtained by carrying out quality reduction and scale reduction calculation on an image so as to carry out a process of training a data set; constructing an over-complete dictionary pair by using a K-SVD algorithm, and training the dictionary; firstly, a reduced low-frequency component is obtained, and then the resolution is reconstructed. According to the method, the GPSR algorithm is utilized, the limitation of fixed sparseness of a traditional OMP algorithm is overcome, a more accurate sparse coefficient is obtained, and the precision of the reconstructed image is further improved by adopting a bilateral filtering mode.

The embodiment of the invention provides a lens, a projection device, a display device and a vehicle, and belongs to the technical field of optics. The lens comprises a first lens group, a diaphragm and a second lens group which are arranged from an image side to an object side. The first lens group comprises at least three lenses, along the direction from the image side to the object side, the first lens closest to the image side in the first lens group has negative focal power, the second lens has positive focal power, and the third lens has negative focal power. The second lens group comprises at least three lenses, and along the direction from the image side to the object side, the second lens closest to the diaphragm in the second lens group has positive focal power, and the third lens has positive focal power. The lens provided by the embodiment of the invention can meet the projection requirements of high definition and high reliability.

The invention relates to the technical field of chemical production management, in particular to a chemical production safety intelligent management system based on video monitoring, which comprises a video stream optimization module, a behavior analysis and evaluation module, a real-time risk management module, a monitoring process optimization module, a behavior mode updating module and an emergency response correction module. According to the invention, by optimizing the quality of the video stream, the high definition and the real-time performance of the monitoring content are ensured, so that the system can more effectively identify abnormal conditions in production, accurately identify the deviation between the operation and the safety standard through meticulous behavior tracking and quantitative analysis, and adjust the deviation in time, thereby improving the production efficiency. Therefore, the normalization of the operation behavior is accurately evaluated, the behavior deviating from the standard is corrected in time, the effectiveness of safety management is improved, and the early warning capability of potential risks is improved through automatic safety level classification and early warning threshold adjustment in real-time risk management, so that the safety response is more flexible, and the probability of accidents is greatly reduced.

The present invention provides an automatic focusing method, an electronic device, and a readable storage medium. The automatic focusing method comprises: using a target detection model to detect a target object in an image frame acquired at an initial focal length by an optical imaging device to be focused, so as to acquire a target object detection result; on the basis of the target object detection result, determining whether a target object is present in the image frame; if yes, determining an actual object distance on the basis of the target object detection result and the initial focal length, and on the basis of the actual object distance and a mapping relationship between the object distance and an optimal imaging focal length, determining the optimal imaging focal length; and if not, using a preset search algorithm to search for a focal length until an image having the highest definition value is found, and using a focal length corresponding to the image having the highest definition value as the optimal imaging focal length. The present invention primarily employs a deep learning-based automatic focusing method, supplemented by an image definition evaluation method. Compared with traditional passive focusing methods, the present invention greatly improves the focusing efficiency. Compared with traditional active focusing methods, the present invention eliminates a need for adding an additional optical ranging component, ensuring that the imaging device has a simple structure and a low cost.

In various examples, training sensor data generated by one or more sensors of autonomous machines may be localized to high definition (HD) map data to augment and / or generate ground truth data—e.g., automatically, in embodiments. The ground truth data may be associated with the training sensor data for training one or more deep neural networks (DNNs) to compute outputs corresponding to autonomous machine operations—such as object or feature detection, road feature detection and classification, wait condition identification and classification, etc. As a result, the HD map data may be leveraged during training such that the DNNs—in deployment—may aid autonomous machines in navigating environments safely without relying on HD map data to do so.

The invention discloses a naked eye 3D transparent display imaging system, and relates to the technical field of 3D transparent imaging. The method comprises the steps that a multi-scale parallax layer construction module is used for decomposing a multi-scale parallax layer and dividing regional images; the dynamic viewpoint prediction module is used for generating two-eye three-dimensional space coordinates through human eye parameters; the parallax scheduling mapping module is used for performing space mapping according to the binocular three-dimensional space coordinates to generate a target visual angle image; the background compensation module is used for carrying out brightness correction on the target view angle image to obtain a compensated view angle image; the directional light field regulation and control module is used for processing the compensation view angle image and generating directional light field information; and the full-layer fusion module is used for processing directional light field information, eliminating interface artifacts between layers and generating a naked-eye 3D transparent display image. Through multi-scale parallax construction, dynamic viewpoint tracking and multi-layer light field fusion, the visual angle adaptability and image fusion quality of naked eye 3D display are improved, and a transparent three-dimensional imaging effect with high immersion, high consistency and high definition is realized.

The invention belongs to the technical field of advanced auxiliary driving, and discloses a simulation video injection device and method for a vehicle-mounted electronic control unit, and the device comprises a video interface retiming module, a programmable logic module, a processor interface to serial link module, and a storage module. When a simulation video output by a server is sent to a vehicle-mounted electronic control unit, a programmable logic module carries out protocol analysis processing, color conversion processing and format conversion processing on the simulation video so as to ensure that the simulation video has high definition and high quality; the simulation video subjected to format conversion processing is sent to the processor interface to serial link module; and the processor interface-to-serial link module sends the packaged simulation video to a vehicle-mounted electronic control unit, so that the simulation video has relatively low injection delay, and the overall verification process of an advanced auxiliary driving algorithm is further improved.

The embodiment of the invention discloses an 8K ultra-high-definition optical endoscope and an imaging system, relates to the technical field of medical instruments, and aims to provide an optical endoscope with higher resolution. The optical endoscope comprises a tube body, an objective lens group and a relay lens group, the objective lens group and the relay lens group are arranged in the tube body, the relay lens group is arranged at the image space of the objective lens group, and a collimation magnifying lens group is arranged at the image space of the relay lens group; wherein the objective lens group is used for imaging an observed object; the relay lens group performs relay transmission on the image formed by the objective lens group; the collimation magnifying lens group amplifies the light spot of the image space of the relay lens group into a parallel collimation light spot, so that the light emergent angle of the relay lens group is consistent with the light incident angle of the pick-up lens, and the size of the parallel collimation light spot formed after amplification is consistent with the size of the entrance pupil of the pick-up lens; and the light emitting side of the relay lens group is the image side of the relay lens group. The embodiment of the invention is suitable for the scene of medical examination and operation through the endoscope.

The invention relates to the technical field of bridge detection and data processing, in particular to a bridge appearance detection method and system based on cooperation of an unmanned aerial vehicle and a workstation. The technical problems are as follows: the modern bridge detection technology is complex in bridge environment, most of the existing unmanned aerial vehicle detection schemes depend on manual control flight, the flight difficulty is high, and high-definition pictures are difficult to shoot, so that a large amount of rework is caused; according to the technical scheme, the bridge appearance detection system based on cooperation of the unmanned aerial vehicle and the work station comprises an unmanned aerial vehicle platform and a ground work station; real-time data acquisition is performed on the bridge and the surrounding environment thereof through the unmanned aerial vehicle, a bridge digital map is produced by integrating a multi-sensor fusion technology and a three-dimensional modeling and deep learning technology, and a fine acquisition path is planned; and automatic, high-precision and high-coverage data acquisition of the bridge appearance in a complex environment is completed, so that the precision and efficiency of disease detection are greatly improved.

The utility model provides a line repairing type high-definition laser plate roller engraving device which comprises a machine frame, a supporting frame is fixedly installed on the top of the machine frame, an X-axis driving mechanism is arranged on the supporting frame, a Y-axis driving mechanism is installed at the moving end of the X-axis driving mechanism, an installation base is installed at the moving end of the Y-axis driving mechanism, and a line repairing type high-definition laser plate roller engraving device is installed on the installation base. A laser engraving head is fixedly mounted on the mounting seat, a rotary clamping mechanism used for concentrically positioning and clamping a plate roller and driving the plate roller to rotate is mounted on the rack through a distance adjusting mechanism, and a lifting mechanism capable of lifting the plate roller is arranged on the rack. The distance adjusting mechanism is matched with the rotary clamping mechanism to clamp the printing rollers with different lengths, and during clamping, the axis line of the printing roller can be quickly positioned, so that the axis line of the printing roller and the axis line of the rotary shaft rod are positioned on the same straight line, and the engraving precision is further ensured.

The invention discloses a gasket structure capable of eliminating real-shot stray light, which comprises the following steps of: S1, designing a chamfering structure, namely, accurately setting the thickness of an ultra-thin gasket to be 0.022 / 0.033 mm, manufacturing the chamfering structure in an inner hole, and performing rigorous optical simulation and experimental optimization; s2, material selection and surface treatment are coordinated, material screening focuses on the characteristics of low reflectivity and high optical stability, and optical-grade polycarbonate has good optical transparency, low refractive index and excellent mechanical performance. The light propagation path is changed through unique design, and the influence of stray light on imaging is reduced to the maximum extent. By effectively eliminating the stray light, the image contrast of the imaging system is improved, the definition is obviously improved, more image details can be clearly presented, and the application scene requirement harsh for the imaging quality is met. The reduction of stray light interference helps to reduce the noise level of an optical system, improves the stability and reliability of the system, reduces the equipment fault and maintenance frequency caused by the stray light problem, and reduces the use cost.

The invention relates to the technical field of computers, in particular to a general traffic image generation method for solving unbalanced network traffic classification, which comprises the following steps of: arranging and combining original network traffic into a session stream according to a time sequence based on a session stream mode, and converting the session stream into an image by taking a data packet as a unit. Converting the effective load of each data packet into a grayscale image; the SCGAN is used for training; eliminating noise by adopting a convolution noise reduction auto-encoder, and performing high-definition reconstruction on the generated flow sample; and combining a minority of types of traffic image samples generated through high-definition reconstruction with the original real traffic samples. According to the method, when the data packets are converted into the traffic images, the time sequence dependency relationship of the network traffic is reserved, the structural features among the data packets in image representation are also reserved, a balanced new network traffic data set is constructed, the authenticity and diversity of the data set are kept, and the generalization ability and effect of the model are improved.

The invention discloses an indoor AR golf course binocular high-definition sensing system, and the system comprises a dynamic capturing module which comprises a high-speed camera unit, a laser radar unit, and an inertial measurement unit; wherein the high-speed camera unit is used for calculating the position change of a golf ball; the laser radar unit is used for providing three-dimensional space position information of the golf ball; the inertial measurement unit is used for monitoring the rotation rate and the speed change of the golf ball in real time; and the vibration feedback module is used for simulating the impact feeling and the rebound feeling during real ball hitting. According to the invention, the dynamic capture module and the vibration feedback module cooperate with each other, the position, track and motion state of a golf ball in a projection picture are updated in real time, the illumination, texture and shadow effects in a virtual scene are dynamically adjusted, the high-definition and low-delay visual effect is supported, and the visual effect is improved. And the sound effect matched with the ball hitting action and the motion state of the ball is matched, so that the sense of reality of indoor golf playing is provided.

The utility model relates to a large-field-angle medium-wave infrared pick-up lens, belongs to the technical field of optical imaging, and solves the problem that the compatibility of a large field angle and high picture quality cannot be satisfied in the prior art. The medium-wave infrared pick-up lens sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with negative focal power, a fifth lens with positive focal power and a sixth lens with negative focal power from outside to inside along an optical axis, the seventh lens has positive focal power; and the eighth lens has positive focal power. At least five mirror surfaces in the eight lenses are aspheric surfaces; the effective focal length of the pick-up lens, the effective focal length of the second lens, the effective focal length of the fifth lens and the effective focal length of the eighth lens meet the following formula: # imgabs0 #. The large-field-angle medium-wave infrared pick-up lens provided by the utility model has a large field angle and also has a high-definition display picture.

The invention relates to the technical field of ship navigation, and discloses a ship overwater multi-target detection method comprising the following steps: S1, obtaining a real-time original image of a water area where a ship is located; s2, improving the resolution of the original image by using a super-resolution reconstruction algorithm, and generating a high-definition image; s3, inputting the high-definition image into a pre-trained Faster R-CNN model, and carrying out target detection; s4, outputting a position coordinate, a category label and a confidence score of the target through the Faster R-CNN model; s5, starting a multi-target tracking algorithm, and continuously monitoring the motion trail; s6, calculating MCPA and MTCPA according to the motion trail, and calculating a collision risk through a collision risk assessment algorithm; and S7, when the MCPA and the MTCPA of any target are lower than a safety threshold, sending out an early warning signal to indicate to take a collision avoidance measure. According to the method, the high-definition image is generated through the super-resolution reconstruction algorithm, the Faster R-CNN model is utilized, the water target is rapidly and accurately detected, the detection precision and generalization ability are remarkably improved, and navigation safety is guaranteed.

Methods and systems for generating a HD map and lane trajectory for an autonomous vehicle based on an SD map. Images from one or more image sensors mounted on a vehicle are received. Via a vehicle processor, perception data is generated based on the received images, wherein the perception data provides a representation of an environment proximate to the vehicle. A standard definition (SD) map corresponding with the environment proximate to the vehicle. The vehicle processor generates a high definition (HD) map corresponding with the environment proximate to the vehicle based on the SD map and the perception data. The vehicle processor also generates lane-level trajectory associated with a planned route for the vehicle utilizing the HD map.

The invention provides a visible light and short wave infrared fluorescent endoscopic imaging system and method, and belongs to the technical field of fluorescent endoscopic imaging, and the system comprises an endoscope which is used for guiding a light signal into a position needing to be checked and collecting a light signal reflected or transmitted from a target tissue; a light source; the light source adopts a multimode light source and is connected with the endoscope through an optical fiber; a camera module; the camera module is connected with the endoscope through the optical bayonet, and the camera module can receive optical signals output by the endoscope and convert the optical signals into image information; and the controller is in control connection with the light source, the camera module and the display, the camera module transmits the image information into the controller for processing, and the display displays the image information processed by the controller. By fusing the visible light imaging mode and the short wave infrared fluorescence imaging mode, surface details and deep structure information of the tissue can be captured at the same time, and the high-resolution and high-definition imaging effect is achieved.

The invention discloses a method for adjusting an optical lens, and relates to the technical field of optical lens adjustment. The specific implementation process comprises the following steps: firstly, in combination with Hough linear transformation, a neighborhood fuzzy evaluation method and edge color change, comprehensively analyzing geometric distortion, fuzziness and chromatic aberration generated by a lens imaging result so as to obtain a distortion offset matrix, a fuzzy matrix and a color offset matrix; secondly, proposing a lens adjustment model based on a generative adversarial network, introducing an adversarial loss and cyclic loss optimization model, and further obtaining a lens adjustment pose matrix through a generator so as to adjust the position and angle of the lens; and finally, the adjustment accuracy is designed, so that the cyclic execution of the adjustment process is realized until the adjustment accuracy reaches a preset threshold value, the high definition of the image, the accurate color restoration and the reduction of optical distortion are ensured, and the adjustment precision and the imaging quality of the lens are improved.

The invention relates to the technical field of hysteroscopes, and provides a hysteroscope image target detection method and system.The method comprises the steps that a hysteroscope is inserted into a uterine cavity of a patient, and high-definition images and environment data of tissue in the uterine cavity are collected in real time; performing automatic analysis by using an image recognition technology, recognizing different types of lesion tissues, and automatically performing lesion assessment to obtain first assessment data; according to the physiological data set of the patient, the future development potential of the lesion is analyzed and evaluated through association of a multi-level neural network model, risk grade division is carried out on a lesion area, and second evaluation data is generated; and automatically generating a risk assessment report according to the second assessment data. According to the invention, a targeted risk assessment report can be output objectively and automatically, and reliable data support and technical support are provided for scientific assessment and intelligent management of intrauterine lesions.

In accordance with an aspect of the present disclosure, there is provided a vehicle position estimation method. The method comprises, obtaining a landmark-based initial position information of a camera by matching a landmark in a high definition map corresponding to a GPS-based initial position information of a vehicle to an image obtained by the camera of the vehicle, and obtaining estimated position information of the vehicle by comparing the image with a landmark in the high definition map corresponding to each of a plurality of candidate position information sampled based on the landmark-based initial position information of the camera.

The invention provides a cultural relic image acquisition system combining a depth-of-field stacking technology and a high dynamic range (HDR) splicing technology, and belongs to the technical field of image acquisition. According to the system, depth-of-field stacking and HDR splicing technologies are combined, focal plane positions and various exposure times are set firstly, and different exposure images are collected by each focal plane. And carrying out space alignment and brightness correction on the image by adopting an image registration algorithm based on feature points, and carrying out HDR synthesis on different exposure images of each focal plane to obtain a high dynamic range image. And calculating a definition evaluation value through a Laplace operator, and selecting the pixel with the highest definition to generate a panoramic depth image. Image feature point matching and alignment are carried out on multiple panoramic depth synthesis, seamless fusion is carried out through a smooth transition function based on weight, and the problems of splicing gaps and inconsistent brightness are eliminated. And finally, enhancing details by using a multi-scale Retinex algorithm, and performing color correction by using a standard color card to generate a high-precision and large-format cultural relic panoramic depth image.

Systems and methods for generating 3D scenes include a masked red, green, blue, depth (RGBD) input, which is separated into a masked RGB input and a masked depth input. The masked depth input is compressed. The masked RGB input is compressed. A high definition (HD) map control signal is generated for a depth stream, and an HD map control signal is generated for an RGB stream. A depth output is generated based on inputs from the depth stream, the HD map control signal for the depth stream, text encoder, and random sampled noise. An RGB output is generated based on inputs from the RGB stream, the HD map control signal for an RGB stream, text encoder, and random sampled noise to train a dual stream diffusion network.

A navigation method and apparatus, and an intelligent driving device are provided. The method includes: determining a lane-level topology of a road between a current location and a target location of an intelligent driving device based on a road-level topology and a lane quantity; determining a feasibility of each lane-level path of at least two lane-level paths from the current location to the target location based on the lane-level topology; and generating first navigation information based on a current lane in which the intelligent driving device is located and the feasibility of each lane-level path, where the first navigation information indicates a first lane-level path from the current location to the target location. The method may be applied to intelligent driving devices like new energy vehicles or electric vehicles, enabling lane-level navigation without a high definition map, improving navigation precision.

The invention discloses a three-channel panoramic imaging system based on a dichroic film. The three-channel panoramic imaging system comprises a panoramic head unit PHU, a subsequent lens group RLG and a sensor D which are sequentially arranged from an object space to an image space, the PHU is in the shape of a negative meniscus lens, the front surface of the PHU is plated with an annular reflecting film, the rear surface of the PHU is plated with an annular dichroic film, the PHU is used for collecting dual-band and large-field-of-view target light, and compression of a panoramic channel light incident angle and multi-channel fusion are achieved through the dichroic film and the reflecting film; the dichroic film can transmit near-infrared light rays with the wavelength of 800 nm to 900 nm and reflect visible light rays with the wavelength of 486 nm to 656 nm; the RLG is used for correcting aberration generated by large-view-field incident light in the PHU and transmitting the light collected by the PHU to the sensor D. Based on the dichroic film, the design of the three-channel blind-area-free panoramic imaging system is realized, and the three-channel blind-area-free panoramic imaging system has the characteristics of large field of view, low distortion, double wavebands and large relative aperture, so that high-quality and high-definition imaging of the three channels can be realized.

The invention discloses a grating waveguide device and waveguide system based on a polarization volume grating technology, and belongs to the technical field of augmented reality display. The device comprises a waveguide substrate and a grating structure, the grating structure adopts a liquid crystal material to form a periodic refractive index modulated PVG through a light-induced orientation and self-assembly process, the polarization state of a light beam can be selectively regulated and controlled, and the rainbow pattern phenomenon caused by ambient light diffraction is inhibited. The efficient diffraction and total internal reflection transmission of the multi-wavelength light beam are realized by optimizing the grating period, the Bragg inclination angle and the waveguide matrix parameters and combining Zemax simulation to optimize the light beam propagation path. The waveguide system can be matched with AR glasses, a head-mounted display and other devices, the intensity of the rainbow lines is remarkably reduced under the complex ambient light condition, and high-definition and distortion-free visual experience is provided.