460results about "Aiming means" patented technology

A simulation system may comprise a headset and an equipment. A wireless communication interface of the headset may receive position information from the equipment. The headset may detect a passively-instrumented object represented in a captured image. The headset may detect a wearable device coupled to the passively-instrumented object. The headset may determine position information for the passively-instrumented object. The headset may present an image of virtual equipment corresponding to the equipment in accordance with the position information from the equipment and the position information detected for the passively-instrumented object.

The invention relates to the technical field of action analysis, in particular to a laser targeting training management system which comprises an immersive training environment module, a biological characteristic analysis module group, an intelligent trajectory management module group, a federal learning center module group, a tactical training management module group and a command and control system module group. Compared with the limitation of lack of battlefield dynamic complexity simulation by adopting a static preset scene in the prior art, the scheme deeply integrates multi-physical field environment control, intelligent target dynamic coordination and a cross-sensory feedback technology to construct an immersive battlefield space with temperature and humidity gradient adjustment, explosion shock wave simulation and geographic space accurate reconstruction linkage; therefore, multi-dimensional collaborative transition from single-dimensional visual simulation to tactile sense / auditory sense / olfactory sense / somatosensory is realized, so that soldiers can obtain subversive environment adaptability and tactical decision-making ability exercises in a comprehensive battlefield pressure environment close to reality.

The Portable Digital Twin Robotic System based on Computer Vision for the Identification, Tracking, and Destruction of Suicide Drones is an innovative system that autonomously identifies, tracks, and destroys suicide drones by leveraging Digital Twin and computer vision technology. This system analyzes visual data using artificial intelligence algorithms and performs precise positioning in real-time. Aided by the Digital Twin, the precise simulation of the system's dynamics and movement enables the optimization of paths and precise control of the robot, while the real-time communication between the digital model and the physical robot provides the capability for immediate updates of control algorithms and predictive maintenance. The portable design and the capability to be connected to various types of weapons make this system suitable for installation on military and non-military platforms and improves the security of sensitive areas.

Certain aspects of a novel weapon sight system combine a direct view, a visible light video view, and an infrared (IR) video view mode. Each of the view modes may be viewed individually or simultaneously with one or more of the other view modes through a single viewing aperture. Further, the one or more view-modes may be provided while providing a bore-sighted reticle superimposed on the selected view. Further, the reticle may be powered separately from the video view electronics enabling use of the reticle regardless of the power status video view electronics.

Provided is an archery sight that integrates a detachable range-finding electronics module and connect / disconnect system. The detachable range-finding electronics module contains the electronics required for the range-finding archery sight. The connect / disconnect system allows the detachable range-finding electronics module to be installed on, or removed from, the fixed-pin archery sight. When the target distance is calculated while the detachable range-finding electronics module is installed, one or more illuminating elements illuminate one or more fiber optic aiming pins on the fixed-pin archery sight, which are used to make an accurate shot. When the detachable range-finding electronics module is removed, the fiber optic aiming pins are illuminated by natural ambient light, returning the archery sight to a traditional fixed-pin archery sight.

Methods, systems, and devices for controlling a simulation system in accordance with different user inputs are provided. A user input may comprise an audio input, a physical input, or a combination of audio input and physical input. Controlling a simulation system in accordance with different user inputs may comprise presenting a first simulation state, receiving a user input, analyzing a user input, detecting factors of a user input, detecting an intent, matching an intent, updating a simulation state, and / or selecting a second simulation state in accordance with user input. The different user inputs may be received relative to a simulation state. The different user inputs may cause same or different changes to the simulation state.

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.

The invention relates to a method for controlling a sensor-effector system (10), in which a trajectory (12) of a target (14) to be attacked is predicted. Furthermore, at least one section of a first type of the predicted trajectory (12) is determined, which section is located within the range of an effector (16) of the sensor-effector system (10). A hit probability of the effector (16) is determined for different points along the at least one section of the first type. In addition, at least one section of a second type of the predicted trajectory (12) is determined (112), which section overlaps with a field of view of a sensor (18) of the sensor-effector system (10). With regard to the sensor (18), a quality of visibility at different points of the at least one section of the second type is then determined. Along a region of the predicted trajectory (12) in which the section of the first type and the at least one section of the second type of the predicted trajectory (12) overlap, a combat point (20) is then selected on the basis of the determined hit probability and on the basis of the determined quality of visibility.

A computer-implemented method for generating a feasibility indication indicative of the feasibility of a weapon carried on an aircraft in flight to successfully engage a target and / or the feasibility of a weapon carried on the target to successfully engage the aircraft, the method comprising: providing a database describing a performance envelope of the weapon; a) generating candidate polynomials, the polynomial variables being some or all of a group of weapon or aircraft firing condition parameters; and b) for each candidate polynomial, comparing the candidate polynomial to the performance envelope of the weapon using a least squares error criterion. calculating coefficients for the candidate polynomial that best fits the characteristics of the line; c) for each candidate polynomial, generating a candidate score according to the quality of the candidate polynomial's fit to the characteristics of the weapon's performance envelope; d) applying a genetic algorithm to the candidate polynomials and scores, including selecting the best scoring polynomial(s) and discarding the other polynomial(s), thereby identifying the best candidate polynomial and its coefficients; and e) repeating the identification process until all required characteristics of the performance envelope have a corresponding polynomial model. d) a method for generating coefficients characteristic of a performance envelope using a generic algorithm, wherein the generic algorithm has the form of a polynomial, uploading coefficients of the identified best candidate polynomial to the aircraft, selecting coefficients for the generic algorithm according to aircraft and target conditions by a reconfigurator on the aircraft containing the same generic algorithm, and generating a feasibility indication by the reconfigurator using the selected coefficients, the method comprising: i) defining a set of orders and / or types of candidate polynomials and dividing the defined set of orders and / or types into a plurality of subsets thereof; ii) iteratively applying the genetic algorithm simultaneously across a plurality of subsets of the defined set of orders and / or types of candidate polynomials, including iteratively applying the genetic algorithm across polynomial variables for each order and / or type of each subset of polynomials and saving the resulting respective coefficients and their scores;iii) using the saved coefficients and scores to select the best scoring polynomial(s) and discard other polynomial(s), thereby identifying the best candidate polynomials and their coefficients.

A system and method are provided for correcting targeting of indirect fire, including: acquiring values for a set of firing conditions, for each of the firing conditions determining statistical parameters of a covariance matrix of the firing conditions, including estimates of unit effects, standard deviations, and error correlations between registration and fire-for-effect (FFE) firing condition errors, wherein at least one correlation is less than one and greater than zero, acquiring a registration miss vector, generating from the statistical parameters a conditional correction matrix; and multiplying the conditional correction matrix by the registration miss vector to calculate a correction vector for FFE targeting.

Automated methods may comprise automatically converting a ballistic trajectory of a projectile into a ballistic flight path. The ballistic flight path may comprise one or more segments. Each of the segments may comprise a plurality of coordinates. The coordinates may be located along the ballistic trajectory. The automated method may comprise automatically navigating an Unmanned Aerial Vehicle (UAV) along the ballistic flight path. The automated method may comprise automatically collecting environmental data along the ballistic flight path through employment of the UAV.

An apparatus includes at least one memory configured to store map data. The apparatus also includes at least one processor configured to segment one or more objects from one or more environment surfaces in the map data. The at least one processor is also configured to determine an offset based on a projectile drift. The at least one processor is further configured to generate a safety bounding box around each of the one or more objects using the offset.

In a sight device, an objective lens unit is disposed at an end of a housing. An ocular lens unit is disposed at another end of the housing and opposite to the objective lens unit. An erector unit is disposed between the objective lens unit and the ocular lens unit. A adjusting unit is movably disposed on the housing and radially propped against the erector unit to adjust the erector unit. A light emitting unit is disposed on the erector unit and includes a light source for emitting a light beam to an object. A light receiving unit is disposed on the erector unit and includes a light sensor for receiving the light beam reflected by the object. In any cross section of the housing, any point on the external surface of the housing is approximately equally distant from the second central axis.

The disclosure relates to a device for providing a ballistic solution. In one embodiment, the disclosure relates to a device for storing one or more ballistic calculators for providing a ballistic solution. In one embodiment, the device communicates with one or more laser rangefinders.

Provided is a telescope range finder based on thermal image-wind speed-noise, which includes a range finder body, a wind speed measuring device, a noise measuring device, and a thermal image display device. The range finder body includes a processor. The wind speed measuring device includes a wind wheel, the wind wheel is connected to a tachometer, and the tachometer is connected to the processor. The noise measuring device includes a microphone, and the microphone is connected to an amplification-filtering-rectification circuit. The amplification-filtering-rectification circuit is connected to the processor. The microphone is configured to convert a noise into an electrical signal for entering the processor through the amplification,-filtering-rectification circuit. The thermal image display device includes a thermal image sensor. The thermal image sensor is disposed in the range finder body. The thermal image sensor is connected to a display through the processor. The display is disposed at a side of the range finder body. Through the design of the wind speed measuring device, the noise measuring device and the thermal image display device, a probability that a hunter hits a target is improved, and the safety of the hunter is improved.

Methods and apparatus for pointing logic in aircraft are disclosed. A disclosed example apparatus to aim an aiming device carried by an aircraft includes at least one memory, machine readable instructions, and processor circuitry. The processor is to at least one of instantiate or execute the machine readable instructions to determine a position of a target, determine an orientation of the aircraft, determine aiming points based on the orientation and a movement range of the aiming device, and determine a movement of at least one of the aircraft or the aiming device based on the aiming points and the position to orient the aiming device toward the target.

The present disclosure describes a single aperture laser range finder (SALRF). In an implementation, the single aperture laser range finder includes a beam extender including an aperture and an input aperture lens. A matching lens collimates light emitted from an emitter element associated with a single aperture optical circulator and received by the beam extender, respectively. A single aperture optical circulator has an emitter channel associated with the emitter element and a detector channel associated with a detector element. The emitter channel and the detector channel merge together at an input / output aperture. A light gating mechanism is configured to permit received light to enter the detector channel and to prevent the received light from entering the emitter channel. The SALRF has an electronics end cap.

A rifle platform weapon system dry firing device which allows the user to dry fire a rifle platform weapon system and still experience the trigger pull and cycling of the weapon system without breaking the shooter's positioning and sight alignment. The dry firing device includes a bolt carrier group configured to replace the standard bolt carrier group of the rifle platform weapons system. The dry firing device includes a magazine with a reset finger configured to reset a hammer of the weapons system. The dry firing device includes at least one of i) a charging rod engaging with a charging handle of the rifle platform or ii) an integrated laser within the bore of the weapons system.

A method and system for providing distance information from a sensor assembly to a flying target. The method comprises detecting the flying target and locking on the flying target by means of a tracking sensor. Directing a light beam at the detected flying target. Generating a movement pattern having a path around the detected flying target and controlling movements of the light beam so that the LOS of the light beam completes moving across the path of the selected movement pattern within a set timeframe. Generating distance information by measuring time- of-flight of the light beam, when being reflected from the flying target while moving the LOS of the light beam across the path of the movement pattern. The system comprises sensors and devices for performing the method.

According to one aspect of the present disclosure, a computer-implemented method for determining a configuration of a projectile launching device is provided, wherein the method comprises receiving first data from a passive sensor; determining a first location of a detected object based on the first data; determining a second location based on the first location; and determining a configuration of the projectile launching device to fire a projectile such that it collides with the detected object at the second location.

A system comprises a personal device such as one used by law enforcement, and a housing containing a portable radar system in a chip with both a ranging resolution and lateral resolution sufficient to detect an object concealed on a person (e.g., one that operates in the THz range), where the housing is configured to be mounted in contact with the personal device such that when mounted, the combined handheld device and housing have a form factor that allows it to retain its characteristic as a personal device, and where the portable radar system is configured to, when in operation, emit a radar beam and to receive a reflection of the emitted radar beam.

Disclosed is a simulator and simulation method with increased precision, in particular a weapon system simulator, and weapon system provided with such a simulator. —The simulator (1) comprises a unit for generating a virtual image (I1) which is defined according to an orientation reference and a sighting reference, a unit for generating a so-called captured image from angle-error and telemetry measurements relating to one or more real actors (R1 to R4) each of which is equipped with a retroreflector (10), the angle-error and telemetry measurements being performed using a rangefinder, a comparison unit for comparing the current virtual image (I1) and the captured image so as to determine an error value representative of an orientation and / or sighting error, and a resetting unit for resetting the orientation reference and / or the sighting reference in order to correct said error value so as to create an optimised virtual image which is displayed on the vision element (2) in place of the current virtual image.

Range finding devices and target object management systems each having one or more features that enhance their functionality. In some embodiments, a disclosed range finding device includes a target object location area calculation unit that defines near and far edges and side edges of a target location area. In some embodiments, a disclosed range finding device is a passive range finding device that inserts a scale marker into an output image, varies the size of the scale marker in response to user actuation of a scale input, and determines the size of the scale marker and an estimated range to a target object. In some embodiments, a disclosed target object management system includes a processing unit operable to manage new location records for existing and new target objects via target object registers. Other embodiments are disclosed, as are corresponding methods and software.

The invention relates to a training system (1) for combating naval surface drones, this training system comprising: a remote operation system (2), a telecommunications system (3), one or more naval surface drones (5) which are configured to be operated simultaneously by the remote operation system (2), via the telecommunications system (3), to simulate an attack mission against one or more target ships (50), the number of naval surface drones (5) being in particular between 1 and 15, in particular between 3 and 10. Figure for the abstract: Fig. 1

The present application belongs to the field of low-altitude target guiding sight method, and particularly relates to a target guiding sight method of a low-altitude blind-filling system command terminal. The present application comprises a long-distance communication step of a low-altitude blind-filling system device; a step of acquiring longitude and latitude information of a detection device in the low-altitude blind-filling system, acquiring longitude and latitude information of a sighting device, and acquiring attitude information such as current azimuth, pitch and roll of the sighting device; a step of acquiring target information detected by the detection device in the low-altitude blind-filling system; a step of calculating the position of the detected target relative to the sighting device; and a step of calculating the direction and specific value of the movement of the sighting device in the current attitude, and displaying the information on a sighting display. The present application can realize high-precision guiding of a sighting aiming system to detect a target under the condition that the low-altitude blind-filling system device is arranged at a long distance and in different spaces.

A human detection and warning method includes: acquiring a current scene image within a current field of view of a sighting device; determining whether there is a human target being currently aimed at and / or whether there is currently target tracking of a human target, based on a target recognition result of the current scene image and a position of an aiming mark in the current scene image; and triggering the sighting device to enter an abnormal aiming mode if there is a human target being currently aimed at and / or there is currently target tracking of a human target.

The invention discloses an air net opening type anti-unmanned aerial vehicle system and method. The air net opening type anti-unmanned aerial vehicle system comprises a vehicle body structure, a net opening mechanism and a net box system which are detachably connected. The machine body structure is composed of a battery cover, machine arms, a machine base and a machine tail cover, the battery cover, the machine base and the machine tail cover are sequentially connected through screws, the machine arms are distributed on the outer side of the machine base at equal intervals, the front end of the battery cover is provided with standard interfaces capable of being matched with various seekers, and the surface of the machine base is provided with a quick-release inserting groove used for quickly installing a net box system. The net opening mechanism is installed in the machine body structure and comprises a sliding block, two symmetrically-arranged clamping arms and a clamping arm seat used for fixing the clamping arms, the high-speed unmanned aerial vehicle is adopted as an intercepting carrier, multi-mode guiding is combined, and long-distance rapid approaching and high-precision tail end intercepting are achieved; meanwhile, the net opening mechanism is adopted to drive the net box to ensure that the net body is rapidly, stably and completely unfolded, the success rate is remarkably increased, the continuous interception requirement is effectively met, and the cost is far lower than that of a laser kinetic energy striking system.

The invention relates to an intelligent aiming design method and system based on deep learning. According to the method and system, infrared and visible light bimodal video streams are synchronously collected, and weather types and grades are recognized in real time in combination with meteorological sensor data; carrying out image enhancement by adopting a physical constraint self-adaptive denoising network; constructing a target trajectory by using a target detection and tracking algorithm; high-precision prediction of a target motion track is realized based on a double-flow neural network and a time sequence prediction model; fusing the real-time meteorological data and the trajectory model to carry out trajectory compensation calculation; finally, the dynamic aiming point coordinates are calculated; according to the method, the technical problems of serious image degradation and misalignment of target prediction in severe weather are effectively solved, and the first hit rate and task efficiency of an aiming system in a complex environment are remarkably improved.

The application provides a generation method of a deep reinforcement learning guidance law based on DDPG, and the method comprises the following steps: establishing a relative motion model of a missile and a target; designing a Markov decision process based on the relative motion model of the missile and the target; establishing an experience pool for storing a data structure group based on the Markov decision process; establishing an Actor network, a Critic network, a target network of the Actor network and a target network of the Critic network; training the Actor network in real time to obtain a four-tuple at each moment, and sequentially storing the four-tuple at each moment into the experience pool; continuously updating network parameters of the Actor network and the Critic network; updating network parameters of the target network of the Actor network and the target network of the Critic network by using the updated network parameters of the Actor network and the Critic network, and assigning the network parameters to network parameters of the Actor network at the current moment and network parameters of the Critic network at the current moment; and under the condition that the Actor network and the Critic network are all converged, taking the Actor network at the current moment as the guidance law.