709 results about "Sight" patented technology

The invention discloses a multi-source fusion positioning method, positioning system and equipment for resisting non-line-of-sight interference. The method comprises the following steps: S1, acquiring RSS (Received Signal Strength), TDOA (Time Difference Of Arrival) and AOA (Attention Of Arrival) of N base stations; s2, selecting a base station with the strongest signal as an initial reference station according to the RSS mean value, and generating all base station combinations containing the reference station; s3, constructing a joint positioning equation for each base station combination, and carrying out initial position calculation on each combination by adopting a weighted least square method to obtain an intermediate position estimated value and a corresponding residual error; s4, identifying the NLOS base station by using sliding window-based multi-feature residual dynamic threshold judgment and effective combination-based NLOS weight penalty verification respectively; and S5, calculating the base station combination according to the residual error and the geometric precision factor to obtain high-precision position estimation. According to the method, unreliable NLOS base station signals can be intelligently identified in a complex electromagnetic environment, the weights of the unreliable NLOS base station signals are reduced, and finally more accurate target position estimation is fused.

The invention provides a zero offset detection device and method for an optical aiming device. The device comprises a laser cross emitter, an attenuation piece, a test target plate, a camera and a PC terminal. The attenuation sheet is arranged at the light path output end of the laser cross-shaped emitter and is located between the laser cross-shaped emitter and the test target plate; the test target plate is arranged in the laser emitting direction of the attenuation sheet, and a preset distance is formed between the test target plate and the laser cross emitter; the optical axis of the camera is aligned with the test target plate, and the camera is used for collecting a laser image on the test target plate and sending the laser image to the PC terminal; and the PC terminal controls the camera to move to coincide with the cross center of the target plate in a cross division manner, records the movement amount and calculates the zero offset. According to the invention, the problems of complex zero offset detection process, low safety and insufficient precision can be solved.

The invention discloses a robot dynamic path planning method and system fused with lightweight LLM. The robot dynamic path planning method comprises the following steps of dynamically mapping a grid map, constructing a semantic analysis model, performing global path planning by adopting an improved A * algorithm, and performing local path optimization by adopting an improved DWA algorithm. Specifically, according to the method, the high-frequency capture and real-time updating of the dynamic obstacle are realized by introducing the fusion of the event flow of the event camera and the depth information of the laser radar; dynamic matching of semantic instructions and planning parameters is achieved by introducing lightweight LLM, meanwhile, sight distance penetration rate optimization path connectivity is fused in global planning, local obstacle avoidance adopts a semantic adaptive weight adjustment mechanism, the high-precision perception advantage of multi-sensor fusion is guaranteed, task adaptability and scene pertinence are improved, and the method is suitable for large-scale popularization and application. And the complex requirements of logistics scenes are met.

The invention discloses an eye movement tracking method and system based on multi-modal fusion, and particularly relates to the technical field of eye movement tracking, and the method comprises the steps: collecting a face image, an eye image and a head movement parameter of a user through an RGB camera, an infrared camera and an IMU which are synchronously arranged; the signals are processed in parallel, sight line direction vectors based on the face and the eyes and reliability measurement of the sight line direction vectors are extracted respectively, and the head space posture is calculated; dynamically selecting high-confidence cooperation, master-slave compensation or conflict arbitration strategies according to reliability measurement, and fusing to generate an initial sight direction; and mapping the direction to a display plane to obtain an initial fixation coordinate, performing optimization calibration in combination with visual saliency analysis of screen content, and outputting a final fixation point coordinate. The system comprises a signal acquisition and processing module, a parallel computing module, a multi-strategy fusion decision-making module and an output optimization module. According to the invention, through multi-modal information fusion and dynamic strategy selection, the precision and robustness of eye movement tracking are significantly improved.

The invention provides a signal processing method and system for a long-distance follow-up laser seeker, and belongs to the technical field of signal processing. Target surface center coordinates, a light spot image sequence and a synchronous echo pulse waveform sequence of the seeker are obtained; the speckle energy entropy and the centroid drift distance are obtained by calculating the information entropy and the centroid displacement of the target light spot image, and the pulse width parameter is extracted from the echo waveform. And constructing the three parameters into a laser feature vector, and inputting the laser feature vector into a pre-trained reflecting surface classification model so as to identify the surface material type of a laser irradiation point in real time. And determining a group of optimal follow-up control gain sets from the material gain mapping relation according to the surface material type, and dynamically reconstructing a follow-up control loop by using the optimal follow-up control gain sets. And the sight angle error of the light spot mass center and the target center is calculated, and the adjusted control loop is used for calculating the error to generate an accurate driving instruction signal, so that the tracking stability and the tracking precision of the target are improved.

The invention discloses a non-line-of-sight moving target three-dimensional reconstruction method based on an MIMO millimeter wave radar, and is applied to the technical field of radar target detection in a complex urban environment. Aiming at the problem of difficulty in realizing three-dimensional reconstruction of a non-line-of-sight moving target in the existing radar target detection technology, the method comprises the following steps: firstly, establishing a non-line-of-sight multipath propagation model, and exporting a multipath signal model of an MIMO millimeter wave radar; the invention further provides a multipath signal departure angle (DoD) / arrival angle (DoA) unambiguous estimation algorithm, and solves the problem that a main lobe and a grating lobe are difficult to distinguish in the DoD / DoA estimation process of an existing commercial MIMO radar. And finally, proposing a path-oriented non-line-of-sight target three-dimensional positioning algorithm, respectively positioning the non-line-of-sight target by using different paths, and fusing different path positioning results to form a three-dimensional point cloud. According to the method, three-dimensional reconstruction of a plurality of non-line-of-sight moving targets can be realized, and the correlation problem between paths does not need to be considered.

An apparatus and methods are provided for a handgun stabilizer that enables a shooter to very accurately fire a handgun while remaining well protected by a ballistic shield and looking through a bullet resistant viewing window comprising the ballistic shield. A high visibility green laser sight / high output white light illumination system may be mounted onto the handgun for aiming and illumination, with the handgun being precisely and removably mounted to the side of the handgun stabilizer at a location where the handgun's grip can be ergonomically grasped in the shooter's dominant hand, both for operating the handgun and for controlling the position and orientation of the ballistic shield for aiming purposes. An interface that enables the handgun to be precisely and removably mounted to the handgun stabilizer may comprise a quick-draw holster that is mounted directly onto the handgun stabilizer.

The invention provides intelligent glasses, a shooting control method, electronic equipment and a storage medium, and the intelligent glasses are characterized in that the lower end of a miniature stable assembly is arranged on a glasses frame, a camera module is installed at the front end of the glasses frame through the upper end of the miniature stable assembly, and the miniature stable assembly is used for adjusting the shooting angle of the camera module. The micro stabilizing assembly has at least two rotational degrees of freedom which are perpendicular to each other; the posture sensor is arranged on the glasses frame and used for detecting head posture changes of a wearer in real time and outputting posture data; and the control processing module is electrically connected with the attitude sensor and the micro stable assembly, and is used for receiving the attitude data, calculating an angle correction value based on the attitude data, and driving the micro stable assembly to dynamically adjust the shooting angle of the camera module based on the angle correction value. Therefore, the shooting angle is always consistent with the actual sight direction of the wearer. Viewing offset caused by wearing slippage and posture change is effectively eliminated, and picture instability is remarkably improved.

The disclosure is related to an enclosed reflex sight for one or more firearms. The enclosed reflex sight may be provided as part of an assembly including a mounting interface. The enclosed reflex sight includes a rearward bottom portion that houses an adjustment assembly, wherein the rearward bottom portion includes a lowermost surface of the enclosed reflex sight. The enclosed reflex sight includes an upper bottom surface forward of the rearward bottom portion of the enclosed reflex sight, the upper bottom surface comprising an abutment surface for the mounting interface. When the assembly is secured to an upper mounting surface of a firearm then the lowermost surface of the rearward bottom portion of the enclosed reflex sight is closer to the upper mounting surface of the firearm than the upper bottom surface of the enclosed reflex sight.

According to the AI glasses-based driver sight tracking and augmented reality early warning system and method provided by the invention, the attention focus of a driver is monitored in real time through deep fusion of a high-precision eyeball tracking technology and an AR display technology, and correlation analysis is carried out on the attention focus and environmental perception data of an intelligent driving system, so that the driver sight tracking and augmented reality early warning effect is improved. When a driver is found to be invisible to a key dangerous target, the attention of the driver can be actively and accurately guided, and key safety information is ensured to be effectively received and confirmed, so that the man-machine cooperation efficiency and the driving safety are remarkably improved. The problems that an existing early warning system is not visual in information transmission and cannot confirm whether a driver really receives information or not are solved, the driving safety and the man-machine interaction efficiency are remarkably improved through a closed-loop vehicle perception-driver cognition-danger confirmation mechanism, and more accurate, more visual and more efficient driving safety early warning is achieved.

The invention discloses a lightweight sight line estimation method based on global information fusion, relates to the technical field of computer vision and intelligent driving, and solves the technical problems that an existing sight line estimation model is large in parameter quantity, is not adaptive to a vehicle-mounted multi-mode scene and is insufficient in robustness under a complex working condition. The method comprises the following steps: firstly, acquiring a driver image, an external scene image and vehicle running state data, and acquiring a target image through face and eye detection; based on a global information fusion module fusing CNN and Transform and a Res CBAM module, multi-modal global information features of vehicle state and driving behavior priori are obtained; deep modulation fusion of the local visual features and the global information features is completed through a double-stage fusion module, and finally the sight direction or the gazing area of the driver is output. The method realizes the unification of light weight and high precision of the model, is adaptive to vehicle-mounted complex working conditions, has both robustness and real-time performance, and can be widely applied to a vehicle-mounted driver monitoring system.

The invention relates to the technical field of unmanned weapon equipment, in particular to an armed robot dog capable of carrying a miniature missile, which comprises a four-footed robot dog and an armed module carried on the four-footed robot dog, the armed module comprises an observing and aiming device, a missile adaptive frame for carrying a micro missile and a rotary table for adjusting an azimuth angle and a pitch angle, the rotary table is fixed on the four-footed robot dog, and the observing and aiming device and the missile adaptive frame are both mounted on the rotary table. The miniature missile can be carried on the four-footed robot dog through the missile adapting frame, the hitting distance and damage power of the armed robot dog can be improved, any adaptive restructuring design does not need to be conducted on the miniature missile, the robot dog carrying state is completely consistent with the individual soldier carrying state, and the robot dog can be carried on the shoulder for launching and can also be carried on the ground. And the robot can be carried on a four-footed robot dog, so that the combat preparation time can be greatly shortened, and the universalization level of weapons and equipment during manned and unmanned cooperation is improved.

The invention provides a mobile robot corner navigation method and system based on non-line-of-sight perception enhancement, and the method comprises the steps: S1, carrying out the preprocessing of collected sensing data, and obtaining line-of-sight obstacle information and non-line-of-sight obstacle information; s2, the sight distance obstacle information and the non-sight distance obstacle information are projected to a local grid map with the robot as the center; s3, constructing a reinforcement learning strategy network according to the grid map, and defining a composite reward function containing perception optimization; and S4, training the reinforcement learning strategy network based on the composite reward function, outputting a control instruction, and improving the non-line-of-sight perception quality through attitude adjustment, so that the robot passes through the corner. The multi-reflection non-line-of-sight perception of the millimeter wave radar and the line-of-sight perception of the laser radar are subjected to space-time unification and grid fusion, shielded static and dynamic obstacles can be detected in advance at the corner, and the collision risk is remarkably reduced.

Sight systems comprise a sight receiver and a base attachable to and detachable from a sight receiver. A base carries a sighting component, such as an iron sight or optic sight. A sighting component may be attachably and detachably mounted to a base, or a sighting component may be made integrally with a base. A base may carry plural sighting components. Sight systems may include plural interchangeable sight receivers, bases, and / or sighting components. In some embodiments, a sight system may comprise a base deployed with an elastomeric or otherwise resilient mounting pad. In some embodiments, an elastomeric or otherwise resilient mounting pad may be proud of a front or rear face of the base, or a side face of the base, or both. In some embodiments, the pad may be proud of a bottom surface of the base.

A system and method of mounting a selected red dot emitter / reflex sight to a weapon includes affixing the selected red dot emitter / reflex sight to a mounting plate selected from several mounting plates. There is one mounting plate for each red dot emitter / reflex sight and each mounting plate has features for affixing one of the red dot emitters / reflex sights to the mounting plate. Next, the mounting plate is installed to a base that has a plurality of legs for engaging with the weapon. The base also has a plurality of clips and each clip slideably interfaces into a cutout of each leg. Each clip is adjustably held within the cutout by an adjustment screw. Next, each clip is engaged with the weapon and each adjustment screw is tightened to hold the base to the weapon, therefore, holding the one red dot emitter / reflex sight to the weapon.

The invention discloses a method and system for preventing screen information leakage based on UWB positioning, relates to the field of smart screens, and aims to capture facial features, eyeball movement and other information of an observer carrying shooting equipment in front of a screen in real time by combining a UWB positioning technology and a high-speed camera, and identify whether the observer is a legal user or not through a deep learning algorithm. For an unauthorized observer, the system can generate false information which is similar to the screen content but has no practical significance in real time to replace the display content of the sensitive area. According to the dynamic replacement technology, illegal observers cannot obtain effective information without affecting legal user experience, further, an attention tracking algorithm is introduced, the sight focus of the observers is predicted, only areas which are possibly concerned are protected, and therefore the calculation load is reduced.

The invention discloses a PV-RCNN network-based dead zone early warning method, system and equipment for a heavy truck and a medium, mainly relates to the technical field of dead zone early warning, and aims to solve the problem that function accuracy is difficult to meet by using a single sensor in the existing scheme. Comprising the steps that when a preset tracking target is detected, the preset tracking target detected at the current moment and the preset tracking target detected at the last moment are compared, and a tracking target list is updated; detecting whether a preset tracking target involved in the tracking target list exists in a preset sight blind area or not, and when the preset tracking target exists in the preset sight blind area, performing information prompt on a driver; and detecting whether a preset tracking target existing in the preset sight blind area has a collision risk, and when the collision risk exists, performing preset early warning.

The invention discloses a safe takeover and man-machine cooperation automatic driving control method. The method comprises the following steps: acquiring a face image, eye movement data, a head posture, a sight direction, a blinking frequency and a steering wheel holding state of a driver in real time through a vehicle-mounted camera and a steering wheel torque sensor; the collected driver state information is input into a driver ability evaluation module constructed based on a time sequence model, a driver ability level C is output, and the ability level C is divided into four levels of C0 to C3; and acquiring current driving scene information through an environment sensing sensor carried by the vehicle. According to the invention, all-weather and full-scene environment understanding is realized, the camera provides semantic information of lane lines and traffic signs, the millimeter-wave radar can still accurately measure distance at rainy and foggy nights, the laser radar generates high-precision three-dimensional point cloud, depicts the contour of an obstacle, and injects prior knowledge into a high-precision map.

A computer-implemented method for preemptive obstacle detection and tracking in an environment includes the steps: a) constructing a power-angle measurement profile based on signal power indicators (SPIs) within a time interval, the SPIs including a measured power of each signal received via a reconfigurable intelligent surface (RIS) of a plurality of RISs located within the environment; b) mapping a reduction in the measured power in the power-angle measurement profile to a first RIS associated with a first angular sector of the environment to predict a presence of an obstacle therein; and c) updating a coordination plan associated with the RISs based on feedback to track the obstacle. Steps a)-c) are iteratively repeated to predict a presence of the obstacle in further angular sectors. A predicted trajectory of the obstacle is extrapolated over time based on the predicted presence of the obstacle in the angular sectors.

The invention discloses a highway tunnel middle section illumination standard measuring and calculating method based on a safe sight distance, and relates to the technical field of intelligent traffic, and the method comprises the steps: collecting traffic flow state data and environment state data of a current tunnel middle section in real time, carrying out the preprocessing, and generating a high-confidence time-space consistency traffic flow data package; based on the time-space consistency traffic flow data packet, evaluating the influence of the current environment and traffic condition in the tunnel on the safe parking distance, and generating safe sight distance data; setting a safety and comfort reference line, and comparing the lighting comfort index with the safety and comfort reference line to obtain the comfort of the driver; the real-time output power of the tunnel lamp is adjusted according to the comfort level of the driver to guarantee the safe parking distance, and light adjusting data are collected and stored persistently. According to the method, the purpose of improving the driving vision continuity is achieved by pre-judging the brightness jump value between the tunnel illumination partitions.

The present application relates to the technical field of electro-optical control. The present application provides an electro-optical pod-based method for correcting an IMU installation misalignment angle in a geographic tracking mode. In embodiments of the present disclosure, online calibration is performed by continuously correcting a target geographic tracking result by means of image-derived line-of-sight angle calculation, thereby enabling an electro-optical pod to achieve more accurate target positioning and geographic tracking during a calibration flight; moreover, storing the calibrated installation misalignment angle ensures target positioning and geographic tracking effects in subsequent flights, thereby significantly improving the execution efficiency of flight missions.

The invention belongs to the field of three-dimensional scene reconstruction, and particularly relates to a three-dimensional Gaussian reconstruction method based on feature matching and multi-view consistency, and the method comprises the steps: obtaining a feature matching graph and a reliable matching mask graph between image pairs; constructing a surface fitting constraint loss function, and minimizing a component along the z-axis direction in the three-dimensional Gaussian ellipsoid zoom vector to enable the three-dimensional Gaussian ellipsoid zoom vector to become a two-dimensional Gaussian plane; calculating an unbiased depth value of each pixel based on a two-dimensional Gaussian plane normal and a camera line-of-sight direction; calculating a depth re-projection error of the current view angle and the adjacent view angle according to the filtering feature matching graph, and constructing a depth consistency loss function; comparing normal directions of the current view angle and the adjacent view angle according to the filtering feature matching graph, and constructing a normal consistency loss function; and weighting the surface fitting constraint loss function, the depth consistency loss function and the normal consistency loss function to obtain overall optimization loss, and performing back propagation to finally obtain a three-dimensional reconstruction result. The geometric accuracy of a reconstruction result is remarkably improved.

The utility model discloses a fast launching life-saving device for a ship, which comprises a mounting frame, one side of the mounting frame is an inclined plane, a throwing port is arranged at the top end of the mounting frame, an air storage tank is fixedly arranged on one side of the mounting frame, an air pump is fixedly arranged on one side of the air storage tank, and an electromagnetic valve is fixedly arranged on the inner wall of the throwing port. The surface of the electromagnetic valve is sleeved with an air outlet channel, throwing rails are arranged on the two sides of the inner wall of the throwing opening, and control assemblies are fixedly arranged on the top of the inner wall of the mounting frame. Through the power system and angle adjustment, the lifesaving device can achieve long-distance throwing, the laser sighting device and the angle adjusting mechanism are used in cooperation, rescue workers can accurately throw the lifesaving device to the position near a person falling into water, the success rate of rescue is greatly increased, and in actual rescue, even if the person falling into water is far away, the lifesaving device can be used for rescue. Rescue workers can quickly send life buoys or life jackets through accurate aiming and strong power, and precious rescue time is won for drowning people.

The invention provides a multi-mode fusion obstacle intelligent early warning method based on machine learning, and relates to the technical field of machine learning intelligent early warning, and the method comprises the steps: carrying out the partitioning of a driving sight range of a vehicle, and calculating the horizontal boundary azimuth angle range and the vertical boundary pitch angle range of each region; eye tracker data and radar point cloud data of the vehicle are obtained in real time, and obstacles are extracted: the azimuth angle and the pitch angle of the obstacles are calculated, the obstacles are mapped to the subarea of the driving sight range, and an obstacle area is obtained; calculating a space deviation angle between a driving sight gazing point and an obstacle, time decay attention intensity and obstacle sudden change intensity, calculating an obstacle area risk value, if the driving sight gazing point is within a safety threshold, determining that the obstacle area is in a safe state and not giving an early warning, otherwise, inputting the obstacle area and obstacle related information into a knowledge enhancement neural network, and intelligent multi-level response early warning is carried out. According to the invention, the real-time performance and accuracy of early warning in a complex scene are improved.

A space-based optical space target detection method fusing track information comprises the following steps: acquiring an image spot position of a point target in a star map of a current position by using a space-based optical camera, and determining a candidate target set according to different motion characteristics of a fixed star and a space target; determining the center-of-mass coordinate and pixel range of the candidate target under the image plane coordinate system according to the orientation of the optical camera, converting the center-of-mass coordinate and pixel range into the sight angle and range under the satellite body coordinate system, carrying out inter-frame trajectory association on the obtained star map sequence, updating the space target library according to trajectory information, and outputting a space target detection result. And repeating the steps to traverse all star maps.

The invention discloses precise image measurement equipment and method based on laser measurement, and relates to the field of laser measurement, and the measurement equipment comprises a multi-axis motion platform, a measurement probe and a control system. The measuring probe is of a probe-shaped structure capable of penetrating into a measured inner cavity and is installed at the tail end of the Z axis of the multi-axis motion platform, and a confocal laser sensor and a lateral microscopic vision system are integrated in the measuring probe. The lateral microscopic vision system comprises a miniature image sensor, a miniature lens module and a lateral projection light source, and the optical axis of the lateral microscopic vision system is turned back through a reflection optical element, so that the effective sight direction of the lateral microscopic vision system is perpendicular to the axis direction of the measuring probe. According to the invention, through the design of the integrated miniature measuring probe, the shielding and depth-of-field limitation are overcome, and the synchronous and high-precision data acquisition of the inner side wall and the bottom of the deep hole with a high depth-diameter ratio and a step structure is realized, so that the complete three-dimensional shape of the inner cavity is reconstructed, the contour features are completely captured, and the precise measurement requirement is realized.

The invention relates to an optronic sight having a critical mode, in particular an anti-resonance mode, comprising a variable fundamental frequency, and to a motorised vehicle comprising such a sight. This optronic sight for a motorised vehicle such as an aerial, marine or land vehicle, comprises: - a sighting module (13) capable of being moved about a first axis (X) and a second axis (Y) which is not parallel to the first axis; - means (14, 15) for moving the sighting module about the first axis and the second axis; and - a servo loop for slaving a position parameter of the sighting module to a setpoint, comprising an adaptive servo corrector (16) capable of calculating a command for a controlled device having a critical mode modifying the response of the device. The sight comprises means (23) capable of determining a fundamental frequency of the variable critical mode on the basis of an operating parameter of the controlled device, the corrector (16) being calculated from the fundamental frequency determined to compensate for the anti-resonance or resonance mode.

This invention discloses a device and method for calibrating the rear sight of a pistol, enabling theoretical calibration when the pistol is not firing and personalized calibration during live-fire testing. It includes an adjusting seat, a limiting block, and a movable block. The recessed portion of the adjusting seat engages with the two side walls of the bolt for limiting its position. A boss is provided on the outer surface of one side wall of the adjusting seat, with a circular hole and a threaded hole inside the boss. A pusher head slides within the circular hole, and an adjusting rod engages within the threaded hole. The adjusting rod actuates the pusher head, which in turn adjusts the lateral position of the rear sight on the bolt. The limiting block has a cylindrical positioning rod at its front end, which is inserted into the firing pin hole at the rear end of the bolt for limiting its position. The limiting block has two side walls for engaging with the vertical groove at the rear end of the bolt for limiting its position. The limiting block has engraved lines. The rear end of the movable block is hinged to the upper end of the limiting block. The front end of the movable block has a square boss for engaging with the rear sight notch on the rear sight for positioning. An arrow mark is provided in the center of the rear end face of the movable block.

This invention relates to the field of automatic control, and more particularly to a calibration method for the image axis and gyroscope axis of an optoelectronic platform. The method includes: mounting an optoelectronic seeker on a three-dimensional turntable and establishing target tracking; controlling the roll, pitch, and yaw channels of the three-dimensional turntable to perform sinusoidal motion at specific frequencies, simultaneously recording the line-of-sight angular velocity data output by the seeker; calculating the influence factor of each mechanical axis motion on the image axis through spectral analysis of the angular velocity data; finally, constructing a compensation matrix using the influence factor to correct the original gyroscope feedback angular velocity, and using the corrected angular velocity for servo control. This invention abandons the traditional method relying on high-precision machining and optical equipment calibration, achieving high-precision calibration through purely electrical and algorithmic means. It effectively eliminates line-of-sight angular velocity errors and channel coupling caused by axis non-parallelism, significantly improving system performance while greatly reducing cost and assembly complexity.

1. Name of the product in this design: Scope clamp. 2. Purpose of this design: For fixing a sight. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.