334 results about "Ground motion" patented technology

The invention discloses a light stream based vehicle motion state estimating method which is applicable to estimating motion of vehicles running of flat bituminous pavement at low speed in the road traffic environment. The light stream based vehicle motion state estimating method includes mounting a high-precision overlook monocular video camera at the center of a rear axle of a vehicle, and acquiring video camera parameters by means of calibration algorithm; preprocessing acquired image sequence by histogram equalization so as to highlight angular point characteristics of the bituminous pavement, and reducing adverse affection caused by pavement conditions and light variation; detecting the angular point characteristics of the pavement in real time by adopting efficient Harris angular point detection algorithm; performing angular point matching tracking of a front frame and a rear frame according to the Lucas-Kanade light stream algorithm, further optimizing matched angular points by RANSAC (random sample consensus) algorithm and acquiring more accurate light stream information; and finally, restructuring real-time motion parameters of the vehicle such as longitudinal velocity, transverse velocity and side slip angle under a vehicle carrier coordinate system, and accordingly, realizing high-precision vehicle ground motion state estimation.

An initial movement indicator for a vehicle comprises at least one warning light, and a controller structured and arranged to receive a signal indicative of vehicle movement along the ground and to process said signal to determine a rate parameter that is proportional to a rate of said vehicle movement and to determine whether the vehicle is accelerating, the controller being structured and arranged to cause the at least one warning light to be illuminated if and only if the rate parameter is greater than zero but less than a predetermined value and the vehicle is accelerating.

The invention relates to an unmanned aerial vehicle aerial magnetic field detecting system and method and belongs to the technical field of novel airborne geophysical prospecting instruments. The detecting system specifically comprises an onboard portion and a ground portion, the onboard portion comprises a host, a multi-way power supply module and a sensor system, the host is connected with a servo motor of an unmanned aerial vehicle, the host comprises a main control panel, an onboard remote control telemetering communication device, an automatic driving navigator and a data recording instrument, the ground portion is used for controlling over taking off and landing of the unmanned aerial vehicle, real-time monitoring of measuring states and manual intervention in emergencies, and the ground portion comprises a ground remote control telemetering communication device, a remote-control unit, a ground control computer and a processing module. The unmanned aerial vehicle aeromagnetic detecting system and method can be used for aspects of underground mineral resource prospection and military target detection and for prospecting or strategic resource exploring of future 'earth-observing engineering' and national key construction projects. According to the unmanned aerial vehicle aeromagnetic detecting system and method, the technical scheme of aeromagnetic detection is simple and easy to implement, low in costs and remarkable in social benefits and economic benefits.

The invention discloses a real-time tracking method and system for a ground moving object based on an UAV. An objection detection and identification module of a ground control station is started to process an image sequence returned from a camera, and the size and central coordinate of a target rectangular frame in a display screen of the ground station are obtained; an object tracking module is started, an algorithm fusion strategy is used to track an object, and if tracking is effective, an object positioning result is output to a tracking instruction generation module; if the object is not positioned, an object searching module is started, and the object is searched and an object positioning result is output to the tracking instruction generation module; and according to the requirement that an object image needs to be positioned in the center of the display screen of the ground station, the tracking instruction generation module generates a UAV position and posture adjusting instruction, and uploads the instruction to a UAV flight control system via a wireless transmission device to adjust the posture in real time. According to the system and method, the matching efficiency is high, realization is easy, the object can be identified effectively, and influence of background noises is avoided.

The invention relates to a multi-target tracking method based on a ground moving target indication (GMTI) radar system. A filtering result is restricted and corrected by using road information on the basis of a probability multi-hypothesis tracking (PMHT) method so as to improve the tracking performance. In a track initiation and data relating stage, radar echo data are processed by using the PMHT method to confirm an effective track; in a target tracking stage, the motion state of the target is estimated by using Kalman filtering, and the filtered value is corrected by using the road information for a target entering a road network region so as to optimize a target track. The invention utilizes the PMHT and road restricting information to track a plurality of ground moving targets, thereby achieving better tracking precision and stability and further improving the performance of the whole GMTI system.

The present invention discloses a quick three-dimensional sampling method for physical data of a building. The present invention adopts a miniature unmanned aircraft to load corresponding types of sensing devices, data recording devices and information returning devices, etc., so as to acquire the physical data (intensity of sound, audio, temperature, humidity, illuminance, light color, gas components, electromagnetic field intensity, air-ion concentration, radiation strength, etc.) and carry out round trip flight in space and continuously acquire the physical data at each point of the path, and position the miniature aircraft by a photogrametry technology. The method concretely comprises the steps of: selection of the miniature unmanned aircraft for indoor flight, selection of sensing devices or sensors for sampling the physical data of the building, establishment of a system synchronous clock, sampling of the physical data of the building and accurate spatial positioning for the sampling points by a close-range photogrammetry method. Since the aircraft is fast in moving speed and is not restricted by the ground movement condition, the isochronism of the data can be ensured even if the number of the spatial sampling is largely increased than that of the ground operations.

The invention provides a ground moving target detection and parameter estimation method. The technical scheme realizes the moving target detection and two-dimensional velocity estimation by combining with an interference image sequence with multiple sub-bands and sub-apertures on the basis of a three-way ultra-wide bandwidth (UWB) synthetic aperture radar (SAR) image. The specific steps of the method are as follows: 1, generating a sub-band sub-aperture image sequence; 2, generating a sub-band sub-aperture interference image sequence; 3, detecting the moving target; and 4, estimating the two-dimensional velocity of the moving target. By using the ground moving target indication and parameter estimation method provided by the invention, the moving target and a static target can be distinguished on an imaging position and a phase position; the radial velocity of the moving target can be estimated clearly; and the azimuth speed and distance speed can also be estimated.

The invention discloses an intelligent tour inspection system used in a petrochemical production field. The intelligent tour inspection system comprises a ground tour-inspection robot (1) for autonomous cruising according to instructions and acquiring and uploading the information of the petrochemical production field to a far-end control console (3) through ground motions, an aerial tour-inspection robot (2) for autonomous cruising according to instructions and acquiring and uploading the information of the petrochemical production field to a far-end control console (3) through aerial motions, and the far-end control console (3) for controlling the motion directions and speeds of the ground tour-inspection robot (1) and the aerial tour-inspection robot (2) and displaying and storing motion trails and the acquired information. The ground tour-inspection robot (1) and the aerial tour-inspection robot (2) located in the petrochemical production field are mutually connected with the far-end control console (3) in a wireless communication mode. The intelligent tour inspection system is high in efficiency, high in accuracy and explosion-proof.

The invention discloses a method for detecting a single channel synthetic aperture radar (SAR) ground motion target, which includes conducting clutter locking estimation on original echo data to obtain clutter Doppler center frequency, converting the original echo data into direction spectrum, dividing the direction spectrum into positive frequency spectrum and negative frequency spectrum with the clutter Doppler center frequency as a boundary, obtaining a first auxiliary look complex image and a second auxiliary look complex image respectively through the positive frequency spectrum and the negative frequency spectrum, conducting direction rectification on the first auxiliary look complex image and the second auxiliary look complex image, obtaining a first auxiliary look amplitude image and a second auxiliary look amplitude image through the first auxiliary look complex image and the second auxiliary look complex image which receives the direction rectification, conducting amplitude comparison on corresponding pixels of the first auxiliary look amplitude image and the second auxiliary look amplitude image. The pixel position corresponds to a movable target if the amplitude ratio is larger than the set detection threshold, otherwise, the pixel position corresponds to the clutter background, so that the movable target detection result can be obtained. The method can effectively restrain clutter and detect ground low speed motion targets.

The invention relates to a seismic monitoring and early warning device, which mainly includes a processor, a sensor module, a signal conditioning module, an A/D (analog to digital) conversion module, a keyboard module, a GPS module, a wireless transmission module, an OLED (organic light emitting diode) display module, a storage module and a power module. The device can monitor the ground motion condition in real time, can quickly figure out basic parameters of the seism when the seism occurs, and is low in production cost, so that the seismic monitoring and early warning device has great theoretical significance and application value.

The invention provides an MODIS remote sensing monitoring method for the vertical distribution pattern of eutrophic lake water algae. The method includes: acquiring the vertical distribution pattern of the algae by means of field monitoring; on the basis of field measured water surface spectral information and environmental information, creating a ground measured spectral data (Rrs) based remote sensing monitoring method for vertical algae distribution; acquiring the quantitative relationship between ground monitoring and remote sensing reflectance Rrs and simulated Rrc after Rayleigh scattering correction by simulating different aerosol types and thicknesses and different solar altitudes, satellite observation angles and azimuthal angles; further promoting the ground measured spectral data based monitoring method for vertical algae distribution to MODIS satellite image data subjected to Rayleigh scattering correction. On the basis of the method, interannual and inter-monthly change rules and spatial distribution of the vertical distribution pattern of the eutrophic lake water algae can be acquired accurately, and scientific support is provided for scientific decision-making on water resource management and water environment protection water conservancy and environmental protection departments.

An aircraft-based infrared image recognition device for a ground moving target, including an infrared non-uniformity correction module, an image rotation module, an image registration module, a multi-level filtering module, a connected domain labeling module, a target detection and feature recognition module, a process control module, and a FPGA-based interconnection module. The invention uses an ASIC/SoC chip for image processing and target recognition, the DSP processor and the FPGA processor, it is possible to enable a multi-level image processing and target recognition algorithm, to improve system parallel, and to facilitate an aircraft-based infrared image recognition method for a ground moving target. Meanwhile, embodiments of the invention effectively reduce power consumption of the device.

The invention relates to the technical field of cartography and geography information systems, and specifically to a DEM-based river valley cross-section morphology algorithm. The algorithm includes the following six steps of (1) pre-processing data based on a DEM; (2) calculating sectional river network data; (3) calculating river network vertical data; (4) drawing a contour line of the valley bottom of a river valley; (5) calculating a width value of the valley bottom; and (6) drawing a profile map of the cross-section morphology of the river valley. The important quantitative indictors for describing the morphology of the river valley can be obtained by calculation according to the invention, which are the contour line of the valley bottom of the river valley, the width value of the valley bottom of the river valley and the profile map of the cross-section morphology of the river valley. These quantitative indicators can reveal the formation and development of a river, the construction situation of a valley landform and so on, and are of great theoretical significance for the study of the classification and management of rivers, the prediction of a river blocking probability of the landslide mass, the calculation of ground motion parameters and the like.

The invention discloses a method for steadily classifying a ground moving target based on super-resolution Doppler spectrum, and mainly solves the problem that the classification performance is low because the signal structure is influenced during clutter reduction, the resolution ratio is low under short residence time and the noise cannot be suppressed in the conventional similar method. The method comprises the following steps of: calculating a short-time echo signal Doppler spectrum, and estimating the noise energy in the signal by utilizing the short-time echo signal Doppler spectrum; estimating a clutter autocorrelation matrix by utilizing a target approach distance unit; establishing a Fourier-based dictionary matrix, and solving the l1 norm optimization problem to obtain a super-resolution Doppler spectrum of a target; extracting characteristics of the super-resolution Doppler spectrum of the target; and classifying the extracted characteristics by using a classifier. By the method, the resolution ratio of the Doppler spectrum of the target is improved, the signal structure can be kept during adaptive clutter reduction, and the noise in the signal is suppressed; and moreover, the classification performance is improved, the noise robustness is obtained, and the method can be used for classifying moving vehicle targets with maneuvering parts.

There is provided a vibration isolator capable of, (1) vibration isolation performance for ground motion disturbance: vibration isolation for floor vibration, and (2) vibration control performance for direct acting disturbance: suppression of swing due to driving reaction force caused by stage movement, significantly improving the above (2), i.e., the vibration control performance, with keeping the above (1), i.e., the vibration isolation performance, at a high level.

The invention discloses a method and a device for ground moving target indication based on InSAR (interferometric synthetic aperture radar) formation. The method includes: setting up a sliding spotlight SAR echo model according to original echo signals received in a scene irradiation region, and imaging each single radar two-dimensional sliding spotlight initial SAR image in the model; enabling the plurality of imaged radar initial SAR images to form a three-dimensional matrix, and subjecting sections of the three-dimensional matrix to compressed sensing treatment to acquire SAR images; subjecting the SAR images to registration, wherein same pixels in different SAR images correspond to a same ground unit; subjecting the registered SAR images to space-time adaptive processing; subjecting the SAR images to elevation phase compensation after space-time adaptive processing; subjecting the SAR images to target detection after elevation phase compensation by means of constant false alarm rate detection. By means of elevation phase compensation, measurement accuracy can be evidently improved, and measurement errors can be controlled about 0.05.

The invention discloses an equivalent range equation based SAR (synthetic aperture radar) ground motion target imaging method. The equivalent range equation based SAR ground motion target imaging method includes: subjecting a ground motion target to being equivalent to a static target by means of the equivalent range equation and building an equivalent signal model; subjecting target signals to Fourier transform in range and direction and transforming the signals to a two-dimensional field; matching filter in range of the two-dimensional field; performing inverse Fourier transform in range and correcting range migration; matching filter in direction; performing inverse Fourier transformer in direction and completing motion target imaging. The motion target is equivalent to the static target, the motion target is imaged by means of a static target imaging method, the problems that target direction is defocused and direction sidelobe is asymmetric in the prior art are solved, and the target can be imaged in high quality. The motion target can be imaged by the static target imaging technology, imaging of the motion target is simplified, and the equivalent range equation based SAR (synthetic aperture radar) ground motion target imaging method is easy to implement on engineering and can be used for an onboard SAR-GMTI (ground motion target imaging) to image the ground motion target.

A target is detected under a forest canopy or other elevated clutter where the target is obscured by the elevated clutter. Radar returns reflected from the target on the surface, combined with those from the elevated clutter are digitized. Motion compensation is performed for the radar returns with respect to the target to obtain a focused first synthetic aperture image of the target. Next, the radar returns are motion compensated with respect to the elevated clutter at various heights above the surface to obtain images of the elevated clutter. The elevated clutter within the images at the various heights above the surface is identified and coherently subtracted from the original synthetic aperture images.

A radar receiver on a moving platform images a moving target and non-moving clutter using a single SAR array. The radar receiver converts the radar returns into digital radar returns and motion compensates the digital radar returns with respect to a reference, then applies further phase compensation to obtain an autofocused synthetic aperture image. A plurality of moving target pixels descriptive of the moving target are detected within the autofocused synthetic aperture image. The plurality of moving target pixels are transformed from the autofocused image to the time domain. The time domain moving target data is focused by iteratively applying a phase compensation to the time domain moving target data.

The invention belongs to the technical field of building structure design and particularly relates to a checking calculation method for the stability of a building foundation under the earthquake action. According to the method, at first, a general finite element program ANSYS is selected for setting up a three-dimensional space finite element model of a building, loading, calculating and deriving are carried out according to the mechanics principle to obtain a concentrated mass bar unit model with the identical dynamic characteristics, the obtained concentrated mass bar model is guided into an ACS SASSI program, a foundation model is supplemented and set up in the ACS SASSI program according to the factory site foundation condition, the ground motion time history is input, and a calculation kernel of the ACS SASSI program is utilized for achieving calculation functions such as soil-structure interaction (SSI) and foundation nonlinearity. By the adoption of the method, an analysis model can conform to actuality better, the calculation result is more accurate and reliable, and the method is simple, applicable, easy to operate, and convenient to realize in actual engineering.

The invention discloses a precise strike-oriented ground moving target detection and recognition method. The method comprises the steps of: combining space-time information to extract a target candidate region, wherein the time-domain information is utilized to acquire moving images, forward-moving history graphs and backward-moving history graphs are calculated according to the moving images, images obtained by carrying out minimum-value acquisition on the forward-moving history graphs and the backward-moving history graphs according to pixels are used as input images, candidate moving regions are obtained through self-adaptive threshold processing and communication-domain extraction, the space-domain information is utilized to calculate materiality scores of the candidate moving regions , and the target candidate region is obtained through threshold processing; and recognizing the target candidate region, wherein feature learning is completed through local low constraint encoding, a linear support vector machine is utilized to realize recognition for the target candidate region, and a candidate region recognized as specific targets is reserved to obtain a final detection result. The method realizes automatic detection and recognition for the multiple ground moving targets in a complex environment, and improves the strike precision.

The invention discloses a detection method and device for a speed and a displacement of a rail train. The method comprises the steps: 1) acquiring a ground motion image in real time when the train runs, and calculating a displacement of two adjacent-frame images; and 2) calculating a moving speed of the current ground image according to the displacement and an acquired time interval between the two adjacent-frame images, obtaining a current train speed through a calculation according to a function relationship between the train speed and the moving speed of the ground image, and accumulating displacement data obtained through the calculations before the current time to obtain a current train displacement. The device comprises an image acquisition and processing for acquiring the ground motion image in real time and calculating the displacement between the two adjacent-frame images, and a data processing module for calculating the speed and the displacement of the current train according to the displacement and the acquired time interval between the two adjacent-frame images. The method and device have the advantages of the simple principle and operation, the rapid detection speed, high detection precision and the wide application range.

The invention relates to a ground moving vehicle target classification and recognition method and system based on a high-resolution distance image, and the method comprises the steps: carrying out the averaging and energy normalization of multiple collected continuous original HRRP echoes of a ground moving vehicle target; calculating the HRRP echo power spectrum features according to the HRRP echoes after averaging and energy normalization; calculating the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates, and obtaining a plurality of distances; comparing the distances, and determining the class of the ground moving vehicle target according to a comparison result. The method calculates the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates through a nearest neighbor classifier, recognizes the class information of the ground moving vehicle target through comparing the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates, achieves the precise classification and recognition of the ground moving vehicles, and provides support for the classification and recognition of military moving vehicles on the ground.

The invention relates to a self-resetting metal damper. The metal damper is used for energy dissipation of house buildings. The metal damper comprises a shell, a piston rod, elastic bodies, energy dissipation pieces and a connecting piece and can be applied to new and old building structures as an energy dissipation element. The invention adopts the following working principle: under the action of wind load or seismic load, the piston rod and the shell carry out relative motion axially, the piston rod drives the energy dissipation pieces to deform, the energy dissipation pieces begin to dissipate the seismic energy after entering into the plastic state, and after ground motion ends, the piston rod is forced to return to the initial position by the pressure or tension caused by the two elastic bodies, thus eliminating residual deformation.