414results about How to "Long detection distance" patented technology

The invention discloses a remote obstacle detection method based on laser radar multi-frame point cloud fusion. A local coordinate system and a world coordinate system are established, an extraction feature point of each laser point is calculated on an annular scanning line of the laser radar according to the original point cloud data under the local coordinate system, and the global pose of the current position relative to the initial position and the de-distortion point cloud in the world coordinate system are obtained through inter-frame feature point matching and map feature point matching; the de-distortion point clouds of the current frame and the previous frame are fused to obtain more compact de-distortion point cloud data, which is unified to the local coordinate system, then projection is performed on two-dimensional grids, and an obstacle is screened according to the height change features of each two-dimensional grid. According to the method in the invention, the problem that the detection rate of the remote barrier caused by sparse laser point clouds is low is solved, the remote barriers can be effectively detected, the error detection rate and the leak detection rateare low, and the system cost can be greatly reduced.

A hard disk drive (HDD) holds data using a biphase scheme. A plurality of matched filters are used to detect binary data represented by the biphase pattern without the need for synchronous sampling or equalization.

The invention relates to an anti-UAV (unmanned aerial vehicle) passive detection and direction finding positioning system which comprises an array antenna, a radio frequency switching switch, a double-channel receiver, a dual-channel signal processor, a wireless router, a positioning server, and a monitoring terminal. Through the antenna array, the measurement and control and image transmission radio frequency signals emitted by a UAV and an operator are passively intercepted and received, the double-channel receiver carries out frequency conversion of the intercepted and received signals into intermediate frequency signals, the signal detection and parameter estimation of the intermediate frequency signals are carried out, and the characteristic parameter of the UAV is obtained and is sent to the positioning server through the wireless router. After the positioning server receives the characteristic parameter of the UAV, the characteristic parameter of the UAV is subjected to direction finding cross positioning, and the detection, positioning and tracking of the UAV are realized. According to the system, the positioning and tracking of the UAV are realized so as to satisfy safety guarantee of an important key area and UAV countermeasure and interference requirements.

The invention is a vision navigating method for mobile robot based on image representation character. It includes steps: the mobile robot detects the natural marked object automatically; matches the current image with the image and scene in sample bank, in order to determinate the current position. The method solves the hardware problem caused by former navigation system with sensor, which can be applied to non-field environment where the traditional navigation mode is difficult to be adaptive, and carries on the self localization of mobile robot. The navigation method combines the scene mark detection and scene image representation analysis.

The invention discloses non-contact type unmanned vehicle driving state measuring system and measuring method. The system comprises an unmanned vehicle, a power amplifier type remote distance electronic tag, a manned vehicle, a millimeter-wave radar, a heading sensor, a GPS (Global Positioning System) receiver, a camera, a power amplifier type remote distance electronic tag card reader, an unmanned vehicle driving state measuring device, a video image record device, a comprehensive information display device, a wireless image transmission device, and a terminal receiving and displaying device, wherein the power amplifier type remote distance electronic tag is arranged at the rear part of the unmanned vehicle, the manned vehicle is arranged on the unmanned vehicle, the millimeter-wave radar, the heading sensor, the GPS receiver, the camera, the power amplifier type remote distance electronic tag card reader, the unmanned vehicle driving state measuring device, the video image record device, the comprehensive information display device and the wireless image transmission device are arranged on the manned vehicle, and the terminal receiving and displaying device is positioned remotely. With the method, the driving state parameters, such as trace and speed, of the unmanned vehicle can be obtained by real-time measurement through a non-contact mode, the speed curve and trace curve of the unmanned vehicle can be drawn in real time.

The invention discloses a vehicle anti-collision method based on a satellite navigation system and a navigation system and application thereof. A novel vehicle anti-collision method is developed on the basis of the positioning and communicating functions of a Beidou system. The method comprises the following steps of: arranging navigation, communication, emitting and receiving antennae and navigators on more than four vehicles respectively, and performing radio signal connection on the navigation, communication, emitting and receiving antennae and Beidou satellite system emitting and receiving antennae in a positioning and communicating way; receiving and processing signal emitted by the Beidou satellite system emitting and receiving antennae by using the navigators of the vehicles; performing signal amplifying and computing and data processing with the navigators and displaying information such as navigation maps of the vehicles, the position of a certain vehicle and the like on display, alarm and operation panels; and realizing the communication function of a Beidou satellite system to realize an anti-collision alarm function of each vehicle.

The invention discloses a large dynamic wind field detection laser radar based on an all-fiber scanning F-P interferometer. The large dynamic wind field detection laser radar is characterized in that optical pulse emitted from a laser pulse generating unit points to detection atmosphere through a transmitting telescope; background noise of an echo signal is filtered by a background noise filtering unit; a reference signal and an atmospheric aerosol spectrum are scanned by a spectrum scanning unit; signal detection is realized by a single-photon detector; data acquisition and atmospheric wind velocity inversion are completed by a data acquisition unit and a processing unit. According to the large dynamic wind field detection laser radar, a back scattering spectrum of aerosol is scanned through a transmission spectrum and a reflective spectrum of the optical fiber F-P interferometer, and energy waste is avoided and influence of laser energy jitter on measurement is eliminated; weak atmospheric signals are detected by the single-photon detector; Doppler frequency shift symbols are discriminated by scanning a reference laser spectrum and the atmospheric aerosol spectrum simultaneously. The laser radar has the advantages of eye safety, large dynamic range of wind velocity measurement, long detection range and the like.

The invention belongs to the electromagnetic ultrasonic non-destructive detection field, provides a method for fast scanning the defects of the tread of a steel rail, and a device thereof, and aims at solving various problems that the existing steel rail detection mode is insensitive to the surface defects and has low detection speed and meeting the need of the development of the high-speed electrified railway. The device consists of a probe, a circuit system, a storage unit and a display unit. The detection device has high quantized precision to the defects by using an electromagnetic ultrasonic surface wave, adopting a probe mode with one sending and two receiving and using the mode of combining a pulse reflection method and a transmission method. The detection method does not need to use an acoustic couplant, has simple structure and strong adaptive capacity to environment and can realize fast scanning to the defects of the tread of the steel rail.

The invention discloses an all-weather high speed railway vehicle-mounted obstacle detection system and method. According to the detection system, a camera lens is connected with a short wave infrared imaging device, a posture adjusting device drives the camera lens and an auxiliary lighting device to intelligently adjust the posture of the camera lens and the posture of the auxiliary lighting device in real time, the short wave infrared imaging device is connected with a vehicle-mounted master control system, the vehicle-mounted master control system is connected with a display device, an alarm device and a storage device, and a train operation monitoring and recording device interface is used for communication between the vehicle-mounted master control system and a train operation monitoring and recording device to obtain train operation and track related information. The detection method mainly comprises the steps of real-time front track image collection, image sequence frame processing, real-time camera lens and auxiliary lighting device orientation adjustment, obstacle detection and notification, and the like. According to the all-weather high speed railway vehicle-mounted obstacle detection system and method, the higher target detail resolution ratio and all-weather operation capacity are achieved, real-time communication can be carried out between the all-weather high speed railway vehicle-mounted obstacle detection system and the train operation monitoring and recording device, information such as front track information and train operation speed is obtained, and the false alarm rate can be effectively lowered.

The invention discloses a target detection and motion state estimation method based on vision and laser radar, and the method comprises the following steps: 1, installing the positions of a camera andthe laser radar, carrying out the calibration between every two binocular cameras, and carrying out the combined calibration between a left camera in front of a vehicle and the laser radar; fusing and supplementing the sparse point clouds respectively generated by the stereoscopic vision system and the laser radar to form a global three-dimensional point cloud graph; 2, detecting the two-dimensional image and the three-dimensional point cloud by using a deep learning method, and fusing an image target three-dimensional motion state generated by stereoscopic vision with a laser radar three-dimensional point cloud target to obtain comprehensive target three-dimensional feature points; and 3, tracking the target by utilizing Kalman filtering according to the three-dimensional feature pointsof the target, and analyzing the motion state of the target. The key of the method lies in the fusion of vision and laser radar sensors, and improves the sensing capability of an intelligent automobile for the surrounding environment.

The invention relates to an infrared photoelectric orientation detection and remote control tracking guide system. A multi-path time sharing transmission infrared orientation signal, single-path serial reception detection and remote control guidance technology are employed, inconsistency of characteristic parameters of components are avoided when multiple photoelectric receivers are employed, and measurement accuracy and a measurement distance are improved. A guide end and a mobile end are included, an array is formed by multiple infrared transmitting tubes on a motion carrier of the mobile end, multi-path infrared signals for orientation detection are sequentially transmitted in a time sharing mode; the guide end is equipped with a high sensitivity infrared receiver and serially receives and detects parameters of each path of infrared signals, azimuth information is acquired after data calculation processing to form a control instruction signal, the control instruction signal is sent to the mobile end through a remote control emitter to control tracking and guiding of the motion carrier; a visible light guide spot can be utilized at the guide end to indicate a guide position and a direction; a synchronization signal is transmitted between the mobile end and the guide end which maintain a synchronization corresponding relation for transmission and reception of each path of signals.

The invention is a photoelectric detection method for a satellite fault in a geostationary transfer orbit. The method comprises: acquiring a light curve of the satellite in the geostationary transfer orbit by an optical telescope detection system; obtaining an OCS value of a target through analyzing a phase angle sequence light characteristic curve, to evaluate the unfolding state of a solar panel of the satellite; obtaining an angular spin rate of the target through analyzing a time sequence light characteristic curve, to evaluate satellite platform attitude control capacity; and evaluating satellite platform attitude regulation and control capacity through accumulating multi-circle satellite phase angle sequence light characteristic curve, so as to evaluate satellite fault state and provide possibility of rescuing the satellite in time. The method does not depend on a sensor and downlink communication data of the satellite system, and has the property of passive receiving, and characteristics of high sensitivity, high precision, long detection distance, capability of observing in real time, quick data processing and so on.

The invention relates to an underwater motion array multi-target detection and position estimation integrated method which is characterized by according to a motion array signal model, obtaining a twice-continuous-measurement reception data formula and obtaining phase correction factors; carrying out matrix-form block partitioning on the motion array signal model; by utilizing the synthetic aperture technique and utilizing the phase correction factors, extending a physical array into a virtual array and reconstituting the block matrixes into data matrixes to form MVDR spatial spectrum, and obtaining a detection threshold value through on-site noise study; and obtaining spectrum peak number above the detection threshold value which is regarded as the target number, and the angle corresponding to the spectrum peak is the azimuth angle of an incidence target. The method fully utilizes the underwater motion array synthetic aperture technique to improve array gain and angular resolution, and utilizes an MVDR spatial spectrum function for reflecting signal energy to determine the number of the targets and method; and compared with coherent signals, the detection performance of the method under low signal to noise ratio is obviously superior to that of the conventional method, detection threshold is reduced, farther detection distance is achieved, and position estimation value can be given.

The invention discloses an air-based space fragment optical detection and tracking system and method. The system comprises a large-view-field telescope, a small-view-field telescope, a laser range finding machine, and a holder. The method comprises the steps: capturing a rough azimuth angle and a pitch angle of a target through the large-view-field telescope; capturing a precise azimuth angle and a pitch angle of the target through the small-view-field telescope; and measuring the distance with the target through the laser range finding machine. The system employs a passive imaging and laser range finding combination system which consists of the large-view-field telescope, the small-view-field telescope and the laser range finding machine, achieves finding, capturing and tracking of small objects in space through the technology of optical imaging, overcomes the limit that a laser radar is difficult to detect small objects, is low in system power consumption, can quickly and precisely detect the distance and azimuth of the target, and is long in detection distance.

The invention belongs to the field of foundation photoelectric observation and discloses a space object dimension acquisition method based on photoelectric observation. The method includes the steps of obtaining high-precision photometric information of a space object through observation; obtaining photometric calibration parameters through orbital calculation; performing photometric correction on the space object; calculating the dimension of the space object. The space object dimension acquisition method based on photoelectric observation overcomes the lack of observational capability on middle-orbit and high-orbit space objects in a radar method and is a method for acquiring the optical dimension of the middle-orbit and high-orbit space objects with an optical telescope system by obtaining the parameters of the optical scattering cross section indicating the dimension of the space object. Compared with a wireless method, the space object dimension acquisition method based on photoelectric observation can accurately obtain the dimension of the space object due to the fact that an optical band is longer than a radio band and not sensitive to edges and corners. The space object dimension acquisition method based on photoelectric observation can be rapidly popularized and applied to existing foundation photoelectric detection devices in China without hardware modification to form a certain capability of determining the dimension of the space object.

The invention discloses a coherent homodyne Doppler velocity measurement laser radar system based on optical orthogonal demodulation. The system is applied to coherent laser radar systems. The system includes co-axial transmit-receive telescopes, optical fiber circulators, a light transmitting switch, a light receiving switch, a narrow line-width laser, a 90-degree optical bridge, balanced detectors, high-speed ADCs, and a digital signal processing module. The coherent homodyne Doppler velocity measurement laser radar system of the invention directly obtains the size and the direction of the difference value between an echo signal frequency and a local oscillation frequency based on the optical orthogonal demodulation, and obtains the sizes and directions of a target velocity in multi-directional time-sharing.

The invention discloses a vehicle driving data management system for acquiring and analyzing driving data of a vehicle to be managed in a driving process to realize functions of safety pre-warning and storage. The vehicle driving data management system comprises a data acquiring unit, a data control unit, a storage unit, an execution unit and a remote control terminal, wherein the data acquiring unit comprises an infrared thermal imaging night vision camera and a first high-definition camera for acquiring external environment information in a vehicle driving direction; the data control unit comprises a control mainboard, and a processor arranged on the control mainboard; the storage unit is connected with a processor for realizing real-time storage of the data information acquired by the data acquiring unit; and the execution unit is connected with the processor, and comprises a prompt device arranged in front of the vehicle to be managed to realize safety pre-warning, and a light sensor and a cloud server. The invention further discloses a realization method of the vehicle driving data management system.

The invention discloses an L-wave-band shore-based sea clutter observation system based on a vector network analyzer. The system comprises the vector network analyzer, a power amplifier, a low noise amplifier, a transmit-receive antenna and a master control computer. The vector network analyzer is transmit-receive signal equipment and is used to emit a frequency-stepping continuous wave signal with a specified parameter under control of the master control computer. After being amplified by the power amplifier, the signal is radiated to a sea area to be measured through the transmit-receive antenna. An echo signal is received by the transmit-receive antenna and enters into the vector network analyzer after a signal-to-clutter ratio is increased through the low noise amplifier. The vector network analyzer is also used to arrange a proper intermediate-frequency bandwidth under the control of the master control computer and carries out time domain windowing, calculation and processing to the echo signal. Sea clutter data can be obtained. By using the technical scheme of the invention, long distance detection can be performed under low radiation power; the detection with a small grazing angle and high resolution can be realized; system performance is stable and an automation degree is high.

The invention relates to a moving object detecting device based on a microwave transducer and an ultrasonic transducer. The moving object detecting device comprises a low-power dissipation microcontroller unit, the microwave transducer, the ultrasonic transducer, a signal amplifying and filtering processing circuit, a field bus interface unit, a temperature transducer and a power source unit. The microwave detecting technology and the ultrasonic detecting technology are combined. The detecting distance of the microwave transducer is far, the response speed is high, the anti-jamming capability is high, the measuring precision of the ultrasonic measurement is high, and the angle range is small. When the microwave transducer detects that a moving object passes a detecting area, the ultrasonic transducer is started immediately to confirm that the object enters the detecting area, and the distance and speed information can be obtained. The moving object detecting device is compact in structure and capable of dealing with different environments and detecting the low-speed moving object, the problems that an existing detecting technology based on a pressure transducer, a pyroelectric infrared transducer and visual patterns is large in error, poor in anti-jamming capability and the like are well solved, and the problems that installation and construction are difficult are solved. The moving object detecting device has the advantages of being small in size, high in response speed and low in power consumption.

The invention discloses a precise landing control system and method based on multi-information fusion. The system comprises: a ground end module used as a UAV accurate landing target point to transmitan infrared image to the sky to be identified by a sky end module; and the sky end module configured to acquire and identify the infrared image transmitted by the ground end module, calculate the relative position of the ground end module, detect the ground relative height, perform data fusion on a visual module, a millimeter wave radar, and the flight control information of a UAV system acquiredin real time, and send a UAV navigation control signal. The method is implemented based on the above system. The system has a long detection distance, high detection precision and a good anti-interference ability.

The invention discloses a zebra stripe detection method based on a maximum stable extreme region (MSER) and random sampling consistency (RANSAC), belongs to the technical field of mode identification, and particularly relates to a detection and division method of a zebra stripe region in a traffic monitoring scene. The zebra stripe detection method comprises the following steps: firstly, carrying out background extraction on a traffic monitoring video by applying a multi-frame middle value method to reduce the shielding of zebra stripes by vehicles on the road surface; secondly, pre-processing a background image, and utilizing an MSER method to carry out characteristic extraction on the zebra stripes in the image; and finally, selecting an expanded RANSAC algorithm to screen zebra stripe key points from the image treated by the MSER, carrying out length and width fitting on an extracted zebra stripe region, displaying in an original image, and detecting the zebra stripe region. The zebra stripe detection method has the advantages of large detection angle range, far distance and strong adaptability.

The invention discloses a method and a system for positioning coal rock dynamic disaster through infrasonic wave monitoring. The system comprises a monitoring main station and a plurality of monitoring substations, and the monitoring substations are connected with the monitoring main station through a fiber optic network; each monitoring substation is composed of three infrasonic wave sensors arranged in a triangular form, and the infrasonic wave sensors are connected with an infrasonic wave monitor; and the monitoring main station is provided with a computing server. The positioning method isthat the main station computing server filters collected data, the time-frequency analysis is performed on the data by the short-time Fourier transform (STFT), the frequency energy density is compared, signals of the main frequency band are extracted, and the calculation result is positioned through statistical analysis and time delay estimation theory. The system monitors the infrasonic wave signal generated by the fracture of the loaded coal rock. Through this method, the non-contact and regional tests are carried out on the stress distribution state of the surrounding rock of the tunnel ormines to determine the area of coal rock fracture and stress anomaly. The method is simple in installation and operation, has little impact on production, and has a large detection range and a long detection distance.

The invention discloses a radar system for detecting a small target on the sea, and relates to the field of radar equipment. The system comprises a frequency synthesizer, a transmitter, a receiver, asignal processor, a display control combination, an antenna, and a servo device. The objective of the invention lies in providing a navigation radar of a solid coherent system. The radar employs a powerful signal processing means for a large-time-width bandwidth product chirp signal, so the radar is long in detection distance, is high in distance resolution and is strong in clutter inhibition capability. The radar also employs a combined pulse form of wide, medium and narrow pulses in the same pulse repetition period for achieving the simultaneous measurement of a full-range target with a small detection distance blind area.

The invention provides a comprehensive flame detection method based on ultraviolet, infrared and vision, and the invention comprises that a data output end of an ultraviolet detector to be connected with a first data input end of a controller, and a data output end of an infrared detector to be connected with a second data input end of the controller; the data output end of the visual detector isconnected with the third data input end of the controller, the trigger data end of the visual detector is connected with the trigger data end of the controller, and the communication end of the controller is connected with the communication end of the communication module; and the image data acquired by the visual detector is analyzed and processed at the server side, and thus judging the fire condition. According to the invention, an image type fire detection technology is combined with ultraviolet and infrared detection, so that the detection requirements of people on high sensitivity, highreliability and human eye visibility of fire are greatly met.

The invention discloses a passive distance measuring method based on a target infrared radiation spectrum and a band model. The method comprises the steps of (a) acquiring measurement data necessary for distance inversion through a corresponding sensing device, (b) establishing a distance measuring model based on the band model, and (c) establishing a passive distance measuring database and conducting object distance inversion. According to the method, the fact that the oxygen is evenly distributed in the atmosphere is utilized, a selected oxygen A absorption band is unitary in spectral line structure and has obvious features, an absorption cross section can be easily and accurately solved, interference of other gases in the atmosphere on measurement is avoided, oxygen concentration is stable, the influence of weather and districts is well avoided, and the established distance measuring model based on the band model solves the real-time problem during distance inversion. The technology not only can be used for fixing roadbed stations, but also can be applied to vehicle-mounted or airborne motion platforms, and has important application prospect in respect of infrared search and track systems and optoelectronic countermeasure.

The invention belongs to the field of radar signal processing, and discloses a method for optimizing carrier frequency of a frequency-agile radar. The method comprises the steps of establishing an echo signal model of the frequency-agile radar; converting the echo signal model of the frequency-agile radar to a corresponding compression perception model of the frequency-agile radar, and obtaining the compression perception model of the echo signal of the frequency-agile radar; constructing an objective function according to the compression perception model of the echo signal of the frequency-agile radar, wherein the objective function comprises the carrier frequency sequence of the frequency-agile radar; and solving the objective function by means of a simulated annealing algorithm, and obtaining the carrier frequency sequence of the frequency-agile radar after optimization.

The invention relates to a vector hydrophone in the field of MEMS sensors, in particular to a T-shaped sensitive body of the vector hydrophone. The invention solves the problems that the conventional vector hydrophone cannot exert optimal advantages in vector detection and high sensitivity caused by a machining process; the T-shaped sensitive body comprises a T-shaped body consisting of a rectangular pedestal and a rectangular upright post; the rectangular pedestal is provided with three reference resisters with the same resistance value through a diffusion process; the rectangular upright post is provided with a strain piezoresistor positioned on the root of the rectangular upright post; the resistance value of the strain piezoresistor R1 is the same as that of the reference resistors; and the strain piezoresistor R1 and the reference resistors R2, R3 and R4 are connected into a Wheatstone bridge. The T-shaped sensitive body has the advantages of simple and novel structure, high sensitivity, small size, low power consumption, far detection distance, good eight-figure directivity and low machining cost, and is suitable for batch production; and the vector hydrophone produced and machined by the T-shaped sensitive body has wide application range.

The invention discloses a target detection method based on a two-dimensional reconstruction algorithm, belonging to the technical field of radar signal processing. The target detection method based onthe two-dimensional reconstruction algorithm comprises the following steps of: step 1, establishing a transmitting signal model of a frequency agile radar and an echo signal model of the frequency agile radar; step 2, calculating a two-dimensional joint dictionary matrix corresponding to the echo signal model of the frequency agile radar; and step 3, obtaining a compressed sensing model, and calculating to obtain a distance and a speed of a target according to the two-dimensional joint dictionary matrix corresponding to the echo signal model of the frequency agile radar as target detection results. Through exploring sparse characteristics of a target scene, the speed and distance of the target can be directly reconstructed by means of the two-dimensional reconstruction method.

The invention relates to a height limit early warning method based on binocular stereo vision, which comprises the following steps: S1, obtaining a disparity map of an original image based on the original image shot by a binocular camera, and obtaining a current driving path of a vehicle in a world coordinate system; S2, calculating a first coordinate of each pixel point projected to a world coordinate system in the disparity map; S3, judging whether a corresponding pixel point in the disparity map is in a driving path according to the first coordinate, and if yes, projecting the pixel point to a vertical coordinate plane parallel to the image surface of the binocular camera in a world coordinate system; S4, whether an obstacle exists is judged based on a preset height area on the verticalcoordinate plane, and if yes, the average height of the obstacle is obtained; and S5, repeating the steps S1 to S4 to judge and track the obstacle in multiple frames, further confirming that the obstacle is a height limit mark, and giving an early warning. According to the method, the calculated amount is small, and the accuracy is high.

The invention discloses a detection device and a detection method for a cable status of a transponder. The detection device is connected onto the output end of the transponder connected with a trackside electronic unit. The detection device comprises an acquisition module and a phase discrimination module, wherein the acquisition module is used for acquiring the voltage and the current of the output end of the trackside electronic unit; the phase discrimination module is used for comparing the phase of the acquired voltage with the phase of the acquired current; if the phase of the voltage is in advance of the phase of the current, a cable of the transponder is judged to be short-circuited; if the phase of the current is in advance of the phase of the voltage, whether the phase difference between the current and the voltage is less than or equal to a preset threshold value or not is judged; if the phase difference between the current and the voltage is less than or equal to the preset threshold value, the cable of the transponder is judged to be open-circuited; and if the phase difference between the current and the voltage is not less than or equal to the preset threshold value, the cable of the transponder is judged to be normal. According to the detection device for the cable status of the transponder, the cable status can be detected under the condition of long distance, and the open-circuited status, the short-circuited status and the normal status are correctly distinguished.