127 results about "Visual range" patented technology

The invention relates to the technical field of laser ranging, in particular to an unmanned aerial vehicle dynamic laser ranging method based on multi-source fusion and adaptive compensation, and the method comprises the following steps: obtaining a ranging pulse of a laser ranging module, and carrying out three-axis rotation and coordinate translation in combination with an IMU angle to generate a geographic registration coordinate set; radar and ultrasonic ranging are fused to construct redundant distance compensation data, particle filtering is executed based on IMU acceleration angular velocity to generate an attitude constraint distance, SLAM weight is adjusted according to illumination and meteorological parameters, and an unmanned aerial vehicle dynamic ranging coordinate result set is generated. Spatial registration is executed by combining longitude and latitude height data, by establishing dynamic association between the ranging data and IMU attitude data, smoothness and continuity of the ranging data can be kept when attitude disturbance is severe, the weight proportion of the vision ranging data in multi-source fusion is dynamically adjusted, and the high-precision estimation capacity of the target distance in the dynamic flight state is improved.

The invention relates to the technical field of three-dimensional reconstruction and rendering, and particularly discloses an underwater long-sight-distance adaptive three-dimensional reconstruction and rendering method based on a Gaussian variable-distance field, and the method comprises the steps: carrying out the initialization point cloud generation based on a motion recovery structure algorithm for RGB image data obtained by underwater image collection equipment; points on the initialized point cloud are combined with a three-dimensional Gaussian distribution model, a three-dimensional Gaussian primitive is defined, and parameter initialization about information such as a Gaussian geometric center, a three-dimensional covariance matrix, opacity and color is carried out on the three-dimensional Gaussian primitive; the method comprises the following steps: establishing a Gaussian cross-space transformation model, performing transformation from a Cartesian coordinate space to a homogeneous coordinate space on a three-dimensional Gaussian primitive, establishing a Gaussian full-parameter space mapping model, mapping color information of the three-dimensional Gaussian primitive after cross-space transformation into a spherical harmonic function, and spatial adaptive three-dimensional reconstruction and rendering in an underwater long-sight-distance environment are realized.

The invention discloses a dynamic range compression method and device for magnetic flux leakage signal visualization, and the method comprises the steps: obtaining an original magnetic flux leakage signal data matrix obtained through part of collection data, and obtaining a gradient signal matrix after preprocessing and gradient enhancement; obtaining an initial value of a controllable percentile parameter p; calculating a dynamic threshold group based on the current parameter p and the statistical distribution of the gradient signal matrix; carrying out nonlinear compression transformation on the gradient signal matrix by adopting an S-shaped nonlinear compression function and taking a dynamic threshold group as a scale factor to obtain a normalized feature matrix; visual mapping is carried out in combination with the dynamic threshold group, and a pseudo-color image is output; and when the preset requirement is not met, adjusting the parameter p, processing again until the preset requirement is met, and applying the parameter p to all the collected data to obtain a final pseudo-color image. According to the method, the problem of visual range imbalance caused by the great dynamic range of the magnetic flux leakage signal is solved, the parameter adjustment robustness and efficiency can be improved, and slight defect detail reservation and serious defect signal tolerance are both considered.

The invention relates to the field of target feature recognition and unmanned aerial vehicle cluster formation, in particular to an unmanned aerial vehicle cluster using visual recognition beacons, which comprises a plurality of unmanned aerial vehicle sub-clusters. The unmanned aerial vehicle sub-cluster is composed of a central unmanned aerial vehicle and a plurality of auxiliary unmanned aerial vehicles. The auxiliary unmanned aerial vehicles carry visual identification beacons and fly within the visual range of the central unmanned aerial vehicle in a marshalling mode. The central unmanned aerial vehicle uses a visual system to actively detect and identify the visual identification beacons on the auxiliary unmanned aerial vehicles, obtains the position information of the auxiliary unmanned aerial vehicles, completes formation calculation according to task planning, generates a control instruction, and issues the control instruction to the auxiliary unmanned aerial vehicles, thereby achieving the efficient cooperation and agile formation of the cluster. The invention also comprises a method. According to the method, identity recognition, accurate pose calculation and motion state estimation of a large-scale cluster can be realized, rapid and high-agility formation transformation of the cluster is further supported, the method has the advantage of remarkable low detectability, expensive equipment does not need to be additionally arranged, and unification of high performance and low cost is effectively realized.

The invention specifically discloses a golden sight distance sitting posture management method with read-write sitting posture non-inductive behavior intervention, and relates to the technical field of ergonomics. The method comprises the following steps: firstly, selecting a learning table and chair or an office table and chair with centimeter-level accurate height adaptation ability; secondly, according to the height of the user, the table top height, the under-table clearance height, the seat height and the seat depth are accurately matched; after the user sits, the sliding chair is inclined forwards until the distance between the abdomen and the table edge is smaller than one fist and the body is straightened, and braking is triggered; finally, final sitting posture intervention is completed through on-site training of health teachers, personal service guidance, instruction of character labels on tables and chairs, instruction text guidance or reminding of an intelligent human body induction device. According to the golden sight distance sitting posture management method for reading and writing sitting posture non-inductive behavior intervention, the user can be helped to develop a good reading and writing sitting posture habit of the golden sight distance larger than or equal to 33cm in the field, the waist and the back are leaned, the table top is located on the abdomen, and the physical health and the learning efficiency of the user are promoted.

The utility model relates to a kind of pool automatic cleaning equipment, the pool automatic cleaning equipment includes equipment main body, height adjusting structure and image acquisition device;The image acquisition device is installed in the equipment main body by the height adjusting structure, the equipment main body is cleaned in the process in pool, the height adjusting structure can make the position of the image acquisition device elevated, to make the image acquisition device can gather the environmental image around the equipment main body.Image acquisition device after position elevation is no longer blocked by equipment main body, blind area reduces, visual range is no longer limited to the side of equipment main body, and can be expanded to the environmental image around equipment main body.Further, when local object identification can expand target range, efficiently plan cleaning path, improve the garbage cleaning efficiency and endurance time of machine.

The application discloses a ranging method, device and system based on camera and radar fusion and a medium. In order to solve the problem that when a shovel remotely controls operation through a remote control console outside the visual range, the remote control end often does not have a good operation visual angle, the perception of the excavated material depth information is not intuitive, the position perception of the excavated material area is not intuitive, and the shovel cannot be accurately lowered, a method for fusing a front-view camera of a shovel and laser radar point clouds is provided. Through the new radar and visual fusion technology, the method can realize video monitoring of the material area in front of the shovel, and video pictures are superimposed to display point clouds of the excavated material, target material point clouds and operation information.

The invention discloses a camera module and intelligent electronic equipment. Wherein the camera module comprises a first air bag and a camera module, the first air bag can be fixed to the head-mounted device, the first air bag is provided with a first side wall, the wall thickness of the first side wall is gradually reduced in the first direction, and the first air bag has an initial state and an inflation state; the camera module is arranged on the first side wall and is used for acquiring image information and transmitting the image information to the head-mounted device; when the first air bag is switched between the initial state and the inflation state, the angle of the camera module relative to the head-mounted device can be adjusted. When the camera module provided by the invention is applied to the head-mounted device, the camera module has a larger visual range and image information capturing accuracy.

The invention discloses an indoor scenic spot emergency evacuation method based on guiding force and tourist factors, and relates to the technical field of indoor scenic spot emergency management, and the method comprises the following steps: (1) guiding person deployment planning: delimiting at least two effective evacuation exits in an indoor scenic spot, deploying guiding persons at evacuation path key blind area nodes which are 8m or more away from the correct exits, and a channel bifurcation opening and an obstacle shielding area are included. According to the invention, by accurately deploying a guider in such key blind area nodes, defining that the guider needs to be located at an indirect visual path node which is 8m or more away from a correct exit, and arranging a striking identifier and a voice prompt device, when a tourist enters a 5m visual range, standardized exit guidance can be obtained in real time, such as the verbal skill of gesture pointing + 'correct exit on the side ', and the tourist can be directly guided to enter the visual range of 5m or more. The blind area information gap is completely filled, it is ensured that tourists can obtain continuous and accurate path information in the evacuation starting stage, and decision delay caused by information fault is avoided.

The application discloses a beyond-visual-range air combat decision-making method based on dynamic fire field and artificial potential field fusion, and relates to the field of aerospace. The method comprises the following steps: establishing a beyond-visual-range air combat simulation environment, modeling enemy and friendly camps in the air combat; grouping the enemy camp in real time; constructing a time-varying killing performance model of a missile to determine a three-view dynamic fire field of an aircraft-missile-target so as to establish an artificial potential field of combat groups, and determining the potential field gradient generated by each combat group in the grouping result; improving a particle updating formula in a particle swarm optimization algorithm by using the potential field gradient generated by the combat groups; solving a target function to determine a maneuvering decision of a friendly aircraft. The improved particle swarm optimization algorithm is obtained by improving the particle updating formula in the particle swarm optimization algorithm by using the potential field gradient generated by all the combat groups in the grouping result. The application can improve the coping ability, autonomous decision-making ability and coping ability in a complex battlefield environment of the beyond-visual-range air combat.

The utility model provides an anti-shielding structure for a robot facing disaster scenes, and mainly relates to the field of search and rescue robot equipment. The utility model discloses an anti-shielding structure for a robot facing disaster scenes. The anti-shielding structure comprises a spider robot. The novel spider robot has the advantages that the camera structure capable of ascending, descending and rotating in a large range is arranged on the upper portion of the spider robot, the visual range of the robot is enlarged, and the search and rescue capacity is enhanced; through the structure, the upper part of the camera can be shielded, a deflector rod is further arranged on the lower side of the end part of the baffle plate, and the deflector rod is matched with the baffle plate structure to rotate, so that a shielding object in front of the camera can be removed to prevent obstacles in a disaster scene from shielding the visual field of the camera to influence the sight, and the search and rescue efficiency is further improved; the obstacle removing angle can be further adjusted through the rotating structure of the baffle.

The invention discloses a distance detection device, and belongs to the field of elevator detection. Comprising a supporting assembly adsorbed and fixed to the top of an elevator car and a displacement assembly arranged on the supporting assembly. The displacement assembly is connected with a reference positioning assembly and a visual ranging assembly, and the reference positioning assembly is used for abutting against the side wall of a door vane of an elevator car and determining the horizontal reference distance of the device body relative to the door vane in a physical locking mode. The visual ranging assembly is configured to extend into a gap between an elevator car sill and a landing door sill in a non-interference mode, and a visual sensor is used for collecting landing door ball images in real time when an elevator runs. According to the distance detection device, the gap between the door knife and the door ball is automatically calculated through the processing unit in combination with the horizontal reference distance and the visual image data, traditional manual layer-by-layer static measurement is successfully converted into continuous dynamic detection, and the problems that in the prior art, two-person cooperation is needed, and efficiency is low are effectively solved; and the convenience of elevator detection is improved.

The invention discloses a highway cutting slope photovoltaic panel anti-dazzle belt setting method and device. The method comprises the steps that a plane where a slope toe of a road slope is located serves as a reference plane, eye positions of a driver during driving serve as original points, and the geometrical relationship among the driver, the road, an anti-dazzle zone and the slope is constructed; constructing an equivalent visual field cone formed by the original point and the anti-dazzle visual angle threshold value of the vehicle; the vision field range of a driver during driving is within the equivalent vision field cone; the highway cutting slope is equivalent to a triangular prism; based on the geometrical relationship, solving a section curve at the intersection of the visual field cone and the triangular prism inclined plane, and respectively obtaining a first intersection point of the section curve and the slope top and a second intersection point of the section curve and the slope bottom; based on the original point, the first intersection point, the second intersection point and the geometrical relationship, the effective anti-dazzle interval of the anti-dazzle belt in the vertical direction and the effective length of the anti-dazzle belt in the driving direction are determined. According to the method, the determined anti-dazzle belt can relieve the visual impact of the photovoltaic panel on a driver, and the driving safety is ensured.

The application discloses a target tracking method, device and storage medium. The target tracking method comprises the following steps: acquiring position information of a target object, querying scene modeling data matched with the position information in a preset scene modeling database, and acquiring real-time images collected by an image collection device matched with the position information, so as to accurately call resources according to the position of the target object, improve subsequent modeling efficiency, then, the scene modeling data and the real-time images are fused to obtain more accurate and convenient observation real scene modeling results, and the target object is tracked based on the real scene modeling results, so that more image details and visual ranges are provided for security, tracking and other scenes on the premise that the target object is not lost, and comprehensive research and judgment on the motion scene of the target object are facilitated.

The application discloses a computing power resource scheduling method and computer equipment, relates to the technical field of computing power resource scheduling, and comprises the following steps: forming an initial population by constructing a path chain with a task set and a node set, calculating the final score of an individual based on switching time information and load information of the task, dividing the initial population into a local development sub-population and a global exploration sub-population based on the similarity value between different path chains, adjusting the proportion of the sub-population based on the improvement rate of the fitness of the initial population, performing path exchange and random disturbance operations on the individual in the current population according to the visual range parameter of the sub-population to which the individual belongs, updating the path chain in the current population, and repeatedly performing the steps of calculating the similarity value and the subsequent steps, and when the termination condition is met, taking the path chain with the highest final score in the current population as the target computing power resource scheduling scheme. The technical problem of extensive computing power resource scheduling in the related art is solved, and the technical effect of improving the reliability of computing power resource scheduling is achieved.

This invention discloses an adaptive control system for inspection drones, belonging to the field of drone intelligent control technology. This adaptive control system can automatically inspect the furnace, greatly reducing workload and improving inspection efficiency compared to traditional inspection methods. Furthermore, the automatic inspection avoids high-altitude operations, reducing the danger of inspection work. This invention can achieve continuous self-positioning of the drone based on preset reference objects within the furnace. This method can operate independently of GPS navigation, enabling rapid updates of the drone's spatial position even in furnaces with weak GPS signals. The entire process can be performed without signal interaction with other devices or platforms, significantly reducing the impact of signal interference. Additionally, when performing inspection tasks, the drone can operate outside of visual range without affecting its autonomous positioning, greatly enhancing the drone's inspection range and capabilities.

The invention discloses a voxel technology-based available sight distance enhancement method for automatic driving, which belongs to the technical field of automatic driving environment perception, and comprises the following steps of: acquiring and preprocessing vehicle surrounding environment and vehicle motion state data by using a multi-source sensor, initializing a voxel grid according to a scene complexity judgment result, and obtaining a voxel grid; mapping the processed data into a voxel grid, endowing each voxel unit with a semantic attribute tag, identifying a shielding region based on voxel semantic features, generating shielding region voxel information in combination with historical data and a prediction model, further adjusting parameters of the voxel grid according to a vehicle driving state, and obtaining a shielding region voxel information prediction result. And outputting the optimized three-dimensional environment model to an automatic driving decision and control module. By adopting the method, the available sight distance evaluation precision of the automatic driving system can be effectively improved, the environmental perception integrity in a complex shielding scene is enhanced, and an effective technical support is provided for safe driving in various scenes such as high speed, urban congestion and severe weather.

A method for adjusting a head-mounted device comprises: a pupil detecting phase for detecting two pupils of user; a deviation judging phase for judging whether the head-mounted device is worn with or without deviation; a display guiding phase displaying a guiding picture by a first monitor and a second monitor to guide the user to adjust the wearing of the head-mounted device; a pupillary distance detecting phase for measuring the pupillary distance of the user; and an adjusting phase for defining a first range corresponding to the pupillary distance, and adjusting the distance between the first monitor and the second monitor within the first range, so that the first monitor is aligned with one pupil, and the second monitor is aligned with the other pupil, increasing the visual range of the user, thereby improving the user's experience. A head-mounted device using the method is also disclosed.

The application provides a kind of method, device, equipment and medium for realizing map visual range scattering point, comprising reading the point position data stored in database;With the first preset intercepting bit number, the longitude and latitude of point position data are grouped, and the read point position data is divided into longitude range group data and latitude range group data;Longitude range group data, latitude range group data and point position data are stored in memory according to the set data format;Get the map visual range transmitted from the front end, filter longitude range group data and latitude range group data according to the map visual range, obtain the point position longitude and latitude set meeting the requirements;Point position objects in point position longitude and latitude set are grouped and aggregated using clustering algorithm, and aggregation information is returned to the front end display.The advantages of the present application are: it can effectively reduce the retrieval operation time, improve the query efficiency, reduce the time of front-end map display point, and at the same time, simple map data structure can save storage space.

Embodiments of the present application disclose a kind of image collector visual range detection method, device, electronic equipment and medium.The method comprises: according to the target image obtained by image acquisition to target image collector periphery preset range, determine the occlusion information in target image collector periphery preset range;According to the current size data of the occlusion included in occlusion information and the growth parameter of the occlusion, determine the predicted size data of the occlusion corresponding to preset time;According to predicted size data, determine the occlusion of target image collector visual range by occlusion.The above-mentioned scheme solves the problem that image collector is occluded by occlusion and cannot be found in time, so that image collector cannot provide effective image acquisition image, so as to determine the predicted size data of the occlusion, predict the occlusion of image collector by occlusion, and facilitate to take corresponding measures to eliminate the occlusion of image collector by occlusion.

The invention relates to the technical field of video fusion, and discloses a video fusion method and system based on a shadow map and a program product, and the method comprises the following steps: creating a virtual perspective camera in a three-dimensional scene, and generating the shadow map according to a visual cone of the virtual perspective camera; pixels in the three-dimensional scene are converted from a visual space coordinate system of a physical world camera to a virtual perspective camera coordinate system, NDC coordinates of the pixels are obtained, the NDC coordinates are aligned with texture coordinates of the shadow map, and sampling texture coordinates are obtained; judging whether the pixels in the visual range of the virtual perspective camera are in the visual area of the shadow map or not, and obtaining the color of the current pixel of the three-dimensional scene; and obtaining the color of the current pixel of the fused three-dimensional scene. According to the invention, the problems of shielding area processing errors and the like in the prior art are solved.

The air fryer comprises a machine body and a fryer body, the machine body comprises a machine head, a base and a supporting part connected to the inner ends of the machine head and the base, the machine head is provided with a heat insulation support extending transversely, the supporting part is provided with a supporting wall extending vertically, and the heat insulation support and the supporting wall are integrally formed to form a cantilever support; the two ends of the supporting wall are provided with turnups transversely extending outwards, the width of the supporting wall is gradually reduced from top to bottom, and the width of the turnups is gradually increased from top to bottom, so that shielding of the supporting wall to the pot body is gradually reduced from top to bottom, and the visible range and the operation space of the pot body are enlarged. A user can observe, take and place food in the pot body more conveniently, using convenience is improved, the structural strength of the pot body can be gradually improved after the turnup is gradually increased from top to bottom, and therefore the problem of bottom stress concentration is effectively solved, and the supporting wall can effectively prevent the pot body from being blocked by the supporting wall while the pot body is reduced. And enough supporting strength and structural rigidity can still be ensured.

The application discloses a calibration method and system of AR glasses, electronic equipment and a storage medium, and belongs to the technical field of augmented reality technology. The calibration method of the AR glasses comprises the following steps: collecting eye data of a wearer, determining a gaze position and a gaze angle according to the eye data; determining a visual range of the wearer through visual measurement; determining a visual field boundary of the wearer on a lens according to the gaze position, the gaze angle and the visual range, and setting a region in the visual field boundary as a current visible region; setting a region where virtual content currently displayed on the lens is located as an initial display region, comparing the initial display region with the current visible region to obtain a comparison result; wherein the comparison result comprises a position comparison result and / or a size comparison result; and adjusting display parameters of the virtual content according to the comparison result. The application can improve the image display quality of the AR glasses.

The application relates to an event-triggered optimal line-of-sight (LOS) formation control method and system for an underactuated unmanned surface vehicle (USV) under unknown disturbance, and relates to the technical field of USV control. The application aims to solve the technical problem of realizing event-triggered optimal control while considering actuator saturation by establishing an RL-driven LOS guidance scheme, so as to achieve optimal state regulation and tracking control. The technical points are as follows: the application establishes an RL-driven LOS guidance scheme, decouples the trigger decision and the actuator allocation, and introduces a new event-triggered mechanism. The overall structure of the ETO-LOS control scheme proposed by the application is as follows: firstly, the expected trajectory and external disturbance are processed in the LOS guidance layer to generate a virtual control signal. Then, optimal control is realized through a DSC and a two-stage IAC network, and then an event-triggered mechanism is constructed in the actuator layer. The ETO-LOS scheme proposed by the application realizes stable learning and closed-loop performance while significantly reducing the control update frequency.

The application relates to a coordinate conversion precision calculation method, system, device and medium. The method calculates first calculation plane coordinates of pixel coordinates of target points in different visual range bands through a two-dimensional coordinate and three-dimensional coordinate mapping model, calculates second calculation plane coordinates of latitude and longitude coordinates of the target points through Gauss projection direct calculation, calculates the distance between the first plane coordinates and the second plane coordinates by using the Euclidean distance, obtains coordinate conversion deviations generated by the two-dimensional coordinate and three-dimensional coordinate mapping model in different visual range bands, and intuitively reflects the reliability and accuracy of the coordinate conversion of the two-dimensional coordinate and three-dimensional coordinate mapping model in the global visual range of the pan-tilt camera, so as to provide high-precision coordinate mapping guarantee for multi-view spatial positioning in a complex scene, and solve the problem that the usability of the two-dimensional coordinate and three-dimensional coordinate mapping model cannot be judged.

The invention relates to the technical field of vehicle-mounted data processing, in particular to a vehicle data processing method, a vehicle-mounted terminal and a vehicle wherein the data processing method comprises the following steps: after identifying that a vehicle is driven into a target parking lot, collecting a payment two-dimensional code of the parking lot within the visual range of the vehicle, and analyzing the payment two-dimensional code; identifying that the vehicle enters a parking state based on the vehicle state; and when the vehicle enters a parking state and is restarted, calling the payment two-dimensional code and performing data interaction with a payment platform server associated with the payment two-dimensional code, obtaining a payment link of the vehicle, and sending the payment link to target end equipment. According to the invention, the payment information analysis and preprocessing are completed in the vehicle parking stage, and the payment link is automatically generated in combination with vehicle state sensing and pushed to the target end equipment in advance, so that centralized processing, recognition and payment at an exit are avoided, and the user experience is improved.

The invention provides a common-view time transfer method based on multiple GEO satellites, and the method comprises the steps: selecting a plurality of GEO satellites in the visual range of two tracking stations, carrying out the common-view time transfer through employing each GEO satellite, and obtaining the common-view time transfer result of each GEO satellite; preprocessing the common-view time transfer result of each GEO satellite to obtain a preprocessed common-view time transfer result; traversing each GEO satellite, analyzing the stability of the link of the current GEO satellite, and meanwhile, referring to a broadcast ephemeris to judge whether the current GEO satellite is in an orbit maneuvering state; if not in the track maneuvering state, allocating weights to the track maneuvering state based on a static self-adaptive weight allocation method, otherwise, allocating weights to the track maneuvering state based on a dynamic self-adaptive weight allocation method; and based on the weight distributed for each GEO satellite, performing weighted average processing on each preprocessed common-view time transfer result, and finally obtaining a common-view time transfer result of the multiple GEO satellites.

The invention relates to a diver stress state and attitude simulation method and device, equipment and a medium. According to the method, a physical entity with accurate direction and speed is constructed, so that real environment driving is provided for stress calculation of the diver; by establishing a refined hydrodynamic model based on multiple rigid body segments, the influence of attitude change on motion stability, resistance and energy consumption is accurately simulated; a physiological feedback mechanism in which the pressure, the visual range and the fluid environment are linked is established, and diver operation training conforming to the fluid mechanics law and human kinematics is achieved.

The application provides a method for calibrating a tool angle and a cutting device. The method comprises obtaining image information of a preset area collected by an image collection device, wherein the image collection device is configured to cover the preset area in a visual range; determining a compensation angle of a tool according to at least part of a target feature of a feature part in the image information; and controlling the cutting angle of the tool to rotate to an initial angle according to the compensation angle. The cutting tool can be quickly calibrated in terms of angle at a low cost.

The invention relates to a large-aperture large-target-surface vehicle-mounted wide-angle lens and an imaging method thereof. The large-aperture large-target-surface vehicle-mounted wide-angle lens comprises an optical system, and the optical system is composed of a first lens, a second lens, a diaphragm, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens which are sequentially arranged from left to right along a light incident light path. By reasonably distributing the focal power and the surface type of each lens, the center thickness of each lens, the axial distance between the lenses and the like, the lens can be matched with a large-target-surface chip for high-definition imaging, the visual range is wide, and the field angle reaches 100 degrees or above. By adopting a glass-plastic mixed structure, the lens is low in cost, has the advantages of large aperture and low temperature drift, and can realize clear imaging in a range from-40 DEG C to 95 DEG C.