29 results about "Passive tracking" patented technology

The invention provides an indoor robot target detection method and system based on multi-modal tracking and a medium, and belongs to the field of robotics.The method comprises the steps that laser data processing is optimized through static furniture learning and filtering and dynamic region clustering, and the visual anti-illumination interference capacity is combined; a dynamic cost matrix matching strategy based on target motion characteristics is adopted to obtain a stable trajectory of a target person; kalman filtering trajectory prediction and target appearance feature matching are fused, and it is ensured that tracking can be rapidly recovered after the target is temporarily lost; a human-guided following mapping mode is adopted, a moving track of a tracked target is used as dynamic guidance, dynamic and static point clouds are separated, and a high-precision environment map with semantic tags is constructed; according to the invention, a following state monitoring and active service linkage mechanism is established, scene decision is carried out by identifying a target attitude and combining a semantic map, corresponding health monitoring and safety services are triggered, and the crossing from passive tracking to active intelligent services is realized.

The invention provides an iris collection method and device based on eye movement prediction, equipment and a storage medium, and the method comprises the steps: collecting image frames and event streams in a mixed manner through an event camera and an RGB camera, obtaining eye feature point coordinates through key point detection, and converting the event streams into an event frame sequence; performing spatial-temporal feature extraction and filtering processing on the eye feature point coordinates and the event frame sequence by using a time sequence prediction network, and predicting eyeball positions and gazing directions at future moments; calculating the optimal optical axis direction of iris imaging according to the predicted eyeball position and gazing direction, and converting the optimal optical axis direction into control parameters such as a pan-tilt angle and a lens focal length of an imaging system; and synchronously adjusting the imaging system and triggering acquisition when the prediction time arrives. According to the method, active iris tracking acquisition is realized by predicting the eyeball movement track, the problem of response lag of traditional passive tracking is solved, and the success rate of iris acquisition is improved.

Devices, Systems, and Methods for detecting a 3-dimensional position of an object, and surgical automation involving the same. The surgical robot system may include a robot having a robot base, a robot arm coupled to the robot base, and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, and / or other objects to be tracked include active and / or passive tracking markers. Cameras, such as stereophotogrammetric infrared cameras, are able to detect the tracking markers, and the robot determines a 3-dimensional position of the object from the tracking markers.

The invention discloses a Wi-Fi passive tracking method for a multi-room scene, and the method comprises the steps: cross-room general physical feature extraction and physical index construction: carrying out the segmentation processing of original CSI data through a sliding window, extracting dynamic features, designing a difference analysis mechanism, constructing a discriminative cross-room state index, and carrying out the recognition of the cross-room state index; the effective judgment on the cross-room behavior is realized; designing a simulation model and generating a data set, namely designing space limitation and behavior limitation which meet requirements and motion rules, simulating and generating PLCR and DPLCR physical characteristics, and constructing a cross-room index sequence which comprises a room attribution judgment index and a cross-room possibility index; and LSTM-based neural network training: fusing and inputting various strong physical semantic features into an LSTM network, and guiding network training by using physical semantic information of the features. According to the invention, the Wi-Fi tracking range is expanded from a single room to multiple rooms, and high-precision tracking of a basic trajectory can be realized in a multi-room scene.

The utility model discloses an electronic tag and a passive tracking and positioning system thereof, the electronic tag encapsulates a functional part between a base layer and a protective layer, and the base layer and the protective layer are sealed and fixed, so that on one hand, the functional part can be effectively protected, and on the other hand, the electronic tag is convenient to carry. According to the utility model, a user carries or wears the electronic tag, the reading device is used for reading the electronic tag and obtaining the ID information in the electronic tag, then the time for reading the electronic tag, the ID information and the duration for transmitting the signal of the electronic tag to the reader are transmitted to the server through the network, and the server matches the corresponding user by using the ID information. And calculating the distance between the electronic tag and the reading equipment or the position of the electronic tag relative to the reading equipment by reading the position of the reader and transmitting the signal of the electronic tag to the reader, and recording. And subsequently, obtaining road strength information by reading the time of the electronic tag and the corresponding position information, thereby finishing path tracking.

The present invention is directed to a system and method of tracking individuals and / or objects in a game location using sensor fusion of both active and passive tracking systems. The invention includes a server platform receiving data from both the active and passive tracking systems, and a mobile application able to interface with and / or visualize the received data. By combining data from both the active and passive tracking systems, the system is able to visually track objects and / or individuals in the location using the passive tracking system, and correlate and identify those objects with known individuals and / or objects based on location data generated by the active tracking system. The mobile application is able to both selectively modulate sampling rates for the active tracking system for specific individuals and / or objects and also to label and identify individuals and / or objects on the passive tracking system where the active tracking system is unavailable.

This invention discloses a distributed multimodal UAV angle perception and prediction method, comprising the following steps: S1, determining the system model; S2, determining the visual signal and radio frequency signal models; S3, fusing visual information from multiple cameras to estimate the UAV's orientation relative to the base station at the current moment; S4, fusing the visual estimation results from historical time slots with the wireless echo perception results to predict the UAV's state at the next moment; S5, based on the UAV's state at the next moment predicted in step S4, calculating and generating the optimal transmission beam for the base station antenna in advance. This invention eliminates the blind spots of a single base station's perception through a distributed camera network, achieving omnidirectional, continuous, and robust positioning of UAVs in complex urban environments; by fusing visual and wireless echo information for high-precision motion prediction, the communication system can pre-align with the UAV, transforming passive tracking into proactive service, thereby significantly improving the stability and transmission efficiency of low-altitude communication links.

The application discloses a bearing-frequency-based target passive tracking trajectory division method, and belongs to the technical field of underwater multi-target tracking of passive sonar.The application aims to solve the problem of poor tracking effect of the existing method in the presence of target trajectory intersection scenes.The application introduces a frequency measurement value into a target state to obtain a bearing-frequency augmented state vector under the condition of passive tracking of a single observation platform in the presence of the underwater multi-target tracking trajectory intersection scenes.Bearing-frequency joint information can improve the discrimination degree of the solution of the posterior probability of the measurement value corresponding to the target, so that the correctness of batch division of the target in the trajectory intersection case is improved.Combining with an RB particle filter, a multi-hypothesis tracking technology and a Kalman smoothing filter technology, good target tracking effect is achieved, and the correctness of the tracking result is ensured.The method can be applied to the technical field of underwater multi-target tracking.

Systems and methods for tracking a location of an asset within a facility. One system includes an electronic processor configured to receive active tracking information from a first communications device, the active tracking information corresponding to a first communications modality, receive passive tracking information from a second communications device, the passive tracking information corresponding to a second communications modality, determine, based on either or both of the passive tracking information and the active tracking information, a location of the asset within a predefined site survey, and generate, on a display, an indication of the determined location of the asset.

The invention provides an elk migration real-time path tracking system based on Beidou satellite collaboration, the system is a three-level architecture formed by an intelligent necklace terminal, a ground relay network and a cloud platform, a necklace is integrated with a Beidou short message and a positioning dual-mode chip, and full-time communication under complex terrains such as a midforest and a canyon is ensured through an adaptive signal switching technology; the disguise relay station deployed on the ground adopts a bionic design appearance, a multi-band antenna array is hidden in the disguise relay station, and a dynamic ad hoc network is formed to expand communication coverage. According to the invention, through a space-ground cooperative communication network, all-terrain data coverage is ensured, a signal blind area problem of a traditional technology is avoided, human intervention is reduced through a self-energy-supply design of the intelligent necklace, a dynamic electronic fence and an AI prediction model realize upgrading from passive tracking to active protection, and a scientific basis is provided for species migration research and habitat management.

The utility model discloses a passive tracking and positioning system, which is characterized in that a user carries or wears an electronic tag, reads the electronic tag by using a reading device and obtains ID information in the electronic tag, and then transmits the time for reading the electronic tag, the ID information and the duration for transmitting a signal of the electronic tag to a reader to a server through a network; and the server matches the corresponding user by using the ID information, calculates the distance between the electronic tag and the reading equipment or the position of the electronic tag relative to the reading equipment by reading the position of the reader and the duration of transmitting the signal of the electronic tag to the reader, and records the distance and the position. Subsequently, road stiffness information is obtained by reading the time of the electronic tag and corresponding position information, path tracking is completed, and the path and the position of the user can be calculated in combination with the map, the building structure chart and the position of the reading device on the map and the building structure chart, the moving speed of the user, the historical position and the path of the user and the like.

This invention discloses an indoor wireless positioning method based on WiFi and acoustic multimodal combination, comprising the following steps: A user moves freely within the sensing scene; a commercial WiFi device collects the user's CSI (Continuous Sensor Indicator) during movement, extracts the PLCR (Pulse Path Length) from the CSI, calculates the path length of the reflected signal, and constructs a Fresnel zone elliptical model; a microphone array collects the user's footsteps during movement, and the sample offset of different microphone pairs is solved by the peak value of the cross-correlation function of each pair of microphone signals; an angle is calculated based on the sample offset to construct a ray model; the Fresnel elliptical model and the ray model are combined to calculate the error, and the user's positioning and tracking are completed through maximum likelihood optimal estimation. Compared with traditional WiFi positioning methods, this invention eliminates the additional phase calibration cost and improves tracking accuracy; compared with traditional acoustic tracking systems, tracking is possible even if the user does not actively issue voice commands, achieving true passive tracking.

This invention relates to an endoscopic surgical navigation method and device based on video image augmented reality. The method includes: segmenting the key surgical areas of interest and selecting anatomical landmarks from preoperative CT images; installing passive tracking tools on the patient's surgical site and the endoscope; registering the real patient with a 3D model using calibrated probes and anatomical landmarks; calibrating the endoscope parameters under the navigation system; determining the transformation matrix of the passive tracking tool coordinate system relative to the endoscope coordinate system; projecting and rendering the 3D model of the preoperatively segmented key surgical areas of interest using a pinhole model simulation and processing it with distortion parameters to obtain a virtual image; and fusing the virtual image with images acquired in real time by the endoscope and displaying it. Compared with existing technologies, this invention fuses virtual images with real endoscopic images and presents them on the same screen, reducing the surgeon's intraoperative judgment time and lowering the difficulty of hand-eye coordination.

The present invention is directed to a system and method of tracking individuals and / or objects in a game location using sensor fusion of both active and passive tracking systems. The invention includes a server platform receiving data from both the active and passive tracking systems, and a mobile application able to interface with and / or visualize the received data. By combining data from both the active and passive tracking systems, the system is able to visually track objects and / or individuals in the location using the passive tracking system, and correlate and identify those objects with known individuals and / or objects based on location data generated by the active tracking system. The mobile application is able to both selectively modulate sampling rates for the active tracking system for specific individuals and / or objects and also to label and identify individuals and / or objects on the passive tracking system where the active tracking system is unavailable.

The invention relates to the technical field of solar heat collectors, in particular to a solar heat collector which comprises a heat collecting body with heat collecting capacity, the heat collecting body is in a notch ring shape, and a notch of the notch ring shape is located under the heat collecting body. A closed flow channel for a heat transfer working medium to flow is designed in the heat collecting body; the outer ring surface and the inner ring surface of the heat collecting body are heat collecting surfaces; the included angle sector formed by the notches accounts for 30-40% of the annular shape; the assembling bracket is used for fixing the heat collecting body, and the top end of the assembling bracket penetrates through the notch to fix the heat collecting body; the light guide assembly is installed on the assembling support and can guide sunlight into the inner ring face of the heat collecting body, through cooperation of the notch annular heat collecting body and the hollow glass heat preservation body, passive tracking of the solar azimuth angle is achieved, and the heat collecting time is prolonged; the inner and outer wall linkage cleaning system guarantees the light transmittance, and the adjustable light guide mirror improves the heat collection density.

The application discloses a kind of photovoltaic devices, belong to photovoltaic device technical field, this photovoltaic device, including the fixed frame of top being set to open state, the heat energy conversion mechanism is arranged at the both sides of fixed frame top opening, for day and night temperature difference generates deformation, converts heat energy into mechanical displacement, one end of the heat energy conversion mechanism is fixedly connected with index rotation mechanism, for all-weather passive tracking, the heat energy conversion mechanism includes heat collection disc and metal sheet, and metal sheet is located inside heat collection disc, the metal sheet is set to spiral structure, and metal sheet spiral structure is used to convert the bending deformation of metal sheet into rotary motion.The application uses heat energy conversion mechanism and index rotation mechanism, breaks through the limitation of traditional tracking system to rely on electric energy, and the photovoltaic panel can automatically adjust the angle according to temperature change, so that the orientation of photovoltaic panel can be adjusted in real time, to ensure that maximum solar radiation is received, so as to improve the power generation efficiency of photovoltaic device.

The invention relates to an unmanned aerial vehicle self-defense system based on millimeter wave active detection and laser blinding, and belongs to the technical field of unmanned aerial vehicle self-defense. Comprising a millimeter wave active detection module which is used for transmitting millimeter wave beams in a preset defense airspace and receiving echo signals from a potential threat target; the optical tracking module is in data linkage with the millimeter wave active detection module and comprises an optical lens, an image sensor and an image processor; the laser blinding module comprises an adjustable power laser transmitter, a beam shaping optical system and a rapid scanning mechanism; and a central control and data processing unit. According to the invention, the all-weather and long-distance active detection capability of the millimeter wave radar and the high-precision passive tracking capability of the optical sensor are combined, the laser blinding mode is adopted to realize the accurate strike of the key task load of the unmanned aerial vehicle, the complete combat process of detection, tracking, locking, threat evaluation and blinding strike can be automatically completed, the detection blind area is small, and the detection efficiency is high. The response speed is high.

The invention discloses a wind-solar storage direct-flexible new energy system control method, system and device and a medium, and the method comprises the following steps: collecting historical data and operation data, and generating a load prediction value; monitoring an actual load, and comparing the actual load with the load prediction value to obtain a load deviation; adjusting the output power of a wind power generation unit, a photovoltaic power generation unit and an energy storage unit according to the load deviation to obtain total output power; and controlling energy exchange with an external power grid through an electric energy router according to the difference value between the total output power and the actual load. According to the invention, through combination of load prediction value generation and actual load monitoring, a prediction and response double-layer cooperative control architecture is constructed, and the problems of frequent fluctuation and adjustment lag caused by passive load tracking of a traditional new energy system are solved.

This invention relates to the field of passive underwater target tracking technology, specifically to a passive underwater target tracking method and apparatus. It addresses the problem of high system complexity and cost in achieving desired directional accuracy. This invention employs a special device to filter and amplify the received underwater acoustic signal, converting it into a digital underwater acoustic signal. Then, it performs refined spectrum estimation to obtain the frequency corresponding to the maximum signal amplitude within a specific frequency band and calculates the signal-to-noise ratio at that frequency. Target detection is then performed; Doppler frequency shift is calculated and the target azimuth angle is estimated; the relative motion trend to the target is estimated; the rudder angle is calculated and sent to the main control computer of the AUV platform via a communication interface circuit. The main control computer then transmits the rudder angle command to the servo motors in the AUV's power and energy unit to control the AUV's navigation and tracking.

The invention discloses a long-time passive human body tracking method and system based on commercial Wi-Fi equipment, and relates to the technical field of Wi-Fi passive tracking in an indoor environment. According to the method, a theoretical model method is taken as a theoretical basis, a neural network is taken as a fitting tool, and a cross-link behavior of a user is taken as an opportunity, so that inaccurate initial position estimation is eliminated. In the implementation process, an analogue simulation data set is generated, the neural network is trained by using the data set, and meanwhile, kinematics constraints and user cross-link physical restrictions are embedded into the neural network. In addition, the invention further provides a confidence-based method, and the current track is dynamically corrected by using historical track information, so that the tracking accuracy and reliability are remarkably improved.

The present application provides a passive tracking device and methods performed thereby. A passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices can operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices can include an encryption module or an authentication module. Some of these devices can incorporate a bulk acoustic wave oscillator.

This invention discloses an underwater multi-target tracking method based on kernel mean embedding confidence propagation. It employs a kernel mean embedding method, approximating the probability density function of the target state with a small number of kernel particles. This overcomes the problem of incomplete observability of the system with lower computational complexity, transforming the strongly nonlinear problem of passive tracking in a low-dimensional measurement space into a linear problem in a high-dimensional feature space. This solves the problems of strong nonlinearity in underwater multi-target measurement functions and incomplete observability of target states, thus improving the tracking accuracy of underwater passive tracking. Furthermore, this invention overcomes the problem of excessively high computational complexity caused by the traditional BP algorithm using random particles or Gaussian mixture density to approximate the probability density distribution through a kernel mean confidence propagation method under the Gaussian assumption. It handles the matching problem between measurement results and targets with lower computational complexity, significantly improving the scalability of the system.

This invention provides a Wi-Fi-based indoor method and system for simultaneous passive tracking and gait recognition. The method includes: generating a PLCR spectrum; generating a Fast PPVP spectrum; passive tracking and gait separation; and gait recognition. This invention solves the technical problems of relying on known or fixed trajectories for gait recognition, inaccurate gait features, and difficult deployment.

The application discloses a high-maneuvering target passive radar tracking method based on OPTICS, and comprises the following steps: obtaining a target motion state prediction value and a target motion state prediction error covariance matrix P by using a target motion state equation and an observation equation k+1|k ; introducing a fluctuation parameter δ k , wherein δ k is the difference between the prediction value and the observation value error of a filtering algorithm in two adjacent time intervals, an error threshold value is δ th , δ k > δ th is judged, if δ k > δ th , the target motion state transition matrix F k is updated, and measurement updating is carried out based on the updated target motion state transition matrix F k , if δ k ≤ δ th , the target motion state transition matrix F k is kept unchanged, and measurement updating is directly carried out. The high-maneuvering target passive tracking algorithm based on OPTICS solves the problem of low tracking precision caused by unknown high-maneuvering target motion models.

The application discloses a kind of unmanned machine body tracking method and system, method includes: from the image that unmanned aerial vehicle is shot, mark target to be tracked, target to be tracked as template image, the image that unmanned aerial vehicle is shot as search image, template image and current shot video frame search image are input passive tracking module to carry out feature extraction and realize the interaction of the feature of search image and the feature of template image, passive tracking is carried out frame by frame;The tracking result of passive tracking module is given unmanned aerial vehicle control module, and the search image of current frame and the search image of historical frame are respectively carried out feature extraction by unmanned aerial vehicle control module to historical tracking result, then carry out feature interaction and target state prediction, calculate the control parameter of unmanned aerial vehicle in next time by the target state of prediction and the current control parameter of unmanned aerial vehicle, realize the update of unmanned aerial vehicle control parameter;The application has the advantages that: the network framework of body tracking is proposed, and the sustained robust tracking of unmanned aerial vehicle to target can be realized.

The invention provides a wide-adaptability microgroove type solar heat collection system, and belongs to the technical field of solar heat utilization, the wide-adaptability microgroove type solar heat collection system comprises a reflection condenser assembly, a module linkage rod, a heat exchanger, a header and a support adjusting mechanism, the support adjusting mechanism comprises an eccentric self-locking manual adjusting system and a thermal driving passive tracking system, reflection condenser assemblies are arranged at the two ends of the header, each reflection condenser assembly comprises a reflection condenser and a heat collecting pipe, the heat exchangers are arranged in the header, the reflection condenser assemblies are connected through module linkage rods, and thermally-driven passive tracking systems are arranged at the two ends of each reflection condenser assembly. The eccentric self-locking manual adjusting system comprises an area linkage adjusting mechanism. By the adoption of the wide-adaptability micro-groove type solar heat collection system, the technical contradiction that a traditional groove type system is high in cost and an existing small system is low in efficiency is solved.

This invention provides a dynamic correction passive tracking method based on reference debris tracks, comprising: Step 1, fitting the reference debris tracks received by the passive tracking system to generate an interval track fitting model; Step 2, obtaining the measurement deviation based on the fitting model and the original sensor measurement sequence of the passive tracking system within the interval; Step 3, correcting the real-time input original measurements using the measurement deviation, and then substituting the corrected measurements into the unscented Kalman filter iterative process to complete forward filtering tracking and backward smoothing optimization, outputting a smoothed track. This invention effectively utilizes reference debris track information to dynamically correct the measurement deviation in the passive tracking system, resulting in stronger reliability; simultaneously, using the corrected measurements for target tracking significantly reduces the root mean square error, effectively improving track accuracy.

Systems and methods for tracking a location of an asset within a facility. One system includes an electronic processor configured to receive active tracking information from a first communications device, the active tracking information corresponding to a first communications modality, receive passive tracking information from a second communications device, the passive tracking information corresponding to a second communications modality, determine, based on either or both of the passive tracking information and the active tracking information, a location of the asset within a predefined site survey, and generate, on a display, an indication of the determined location of the asset.

The application provides a two-step filtering design method for estimating the line-of-sight angular rate of a missile-target. The method applies the information of the missile-target obtained by ground tracking and the target maneuvering acceleration information obtained by passive tracking to realize two-step filtering and thus line-of-sight angular rate extraction. For a large maneuvering target, the method firstly estimates the target acceleration through a jerk model, and then brings the acceleration into a six-dimensional model to estimate the line-of-sight angular rate. The simulation results show that the method can realize high-precision extraction of the line-of-sight angular rate, and greatly improves the interception performance of the interception system on the maneuvering target.