401results about How to "Solve drift" patented technology

The invention relates to a UAV (Unmanned Aerial Vehicle) man-machine interaction method based on binocular vision and deep learning. An embedded image processing platform and a binocular camera are carried on a UAV. The embedded image processing platform is connected to a flight controller through an interface. The UAV communicates with a ground station through the platform. The platform is provided with a Graphics Processing Unit (GPU), a convolutional neural network deep learning algorithm is run and parallel computing for an image is carried out during video capture of the camera. According to the invention, a convolutional neutral network is transplanted to the embedded platform with a dedicated GPU and the run speed becomes faster through parallel computing for speeding up the computation.

The invention discloses a pavement cracking detection system and a pavement cracking detection method based on line structured light. A near infrared laser vertically irradiates to a to-be-measured pavement, a camera takes a shoot on the light vertically irradiated to the to-be-measured pavement by the near infrared laser, light stripe images are collected and transmitted to a computer, and the computer calls an image transmission storage processing module to perform storage and pavement cracking detection, so that the problem that light stripes drift up and down along the scanning direction due to ups and downs of the pavement can be avoided, and the collection precision and the detection processing speed are high. In addition, the detection method comprises the steps that the crosswise contour line of the pavement is extracted from the light stripe image sequence, then the pavement depth image through which global three-dimensional contour information of the pavement is reflected is generated by using straight-line fitting and differentiating computation stitching, and the curve shape characteristics of cracks serve as the detection basis to be distinguished from other shape signals, thus cracking extraction is realized accurately, so that errors caused by ups and downs of the pavement or vibration of a vehicle can be effectively removed in real time, and the phenomena of false detection and missing of detection are decreased.

The gas analyzer calibrating equipment includes zero gas generator, calibration system and various kinds of gas analyzers. One gas inlet of the calibration system has one total gas intake pipe connected and the total gas intake pipe is connected to several standard gas cylinders via solenoid valve; and the gas outlet of the calibration system has one total gas outlet pipe connected and the total gas outlet pipe has the other end connected to analyzer via one three-way solenoid valve, which has normally closed port connected to the total gas outlet pipe, the normally opened port connected to atmosphere, and common port connected to the air intake port of the analyzer. The computer controls these solenoid valves via D/A converter. The equipment may be used to obtain the output slope of the analyzer data for correcting the data the analyzer obtains and obtaining the practical value of the gas component in atmosphere, solving the drift problem of analyzer.

A miniature combined attitude measuring system for small satellite is composed of a combined inertial-magnetic measuring unit, a signal processing circuit and a satellite carried computer for storing data and program. Said measuring unit has 3 sensor sets based on microelectromachinal system. Each sensor set has microgyroscope, microaccelerometer and micromagnetometer. Its advantages are high real-time performance, high reliability and high anti-interference power.

The invention relates to a deep defect quantifying method based on an eddy rotating probe signal. The method comprises the steps of 1, acquiring a calibrated defect impedance variation vector signal; 2, performing differential treatment for the defect signal; 3, normalizing the signal; 4, forming a calibration quantifying curved line; 5, acquiring an actual signal; 6, performing deep defect quantifying for the actual signal through the calibration quantifying curved line. With the adoption of the method, the problem of failure of quantifying of a rotating probe can be solved; the algorithm transformation is performed to solve the drifting problem of an absolute signal.

The invention relates to a dynamic control system and a control method for a downhole directional power drilling tool face. The dynamic control system is characterized in that the dynamic control system comprises a set of tool face decoding system, a set of dynamic tool face control system, a set of top drive/turntable servo and brake system, a set of top drive/turntable angle sensing system and a set of top drive/turntable angle signal processing system; and the input end of the tool face decoding system is connected with the pressure signal sensor of a measurement while drilling (MWD) system in a well drilling system, the output end of the tool face decoding system is connected with the dynamic tool face control system, the dynamic tool face control system is preset in a monitoring computer, the output end of the dynamic tool face control system is connected with the top drive/turntable servo and brake system, the top drive/turntable servo and brake system is connected with a top drive/turntable and the top drive/turntable angle sensing system, the output end of the top drive/turntable angle sensing system is connected with the top drive/turntable angle signal processing system, and the output end of the top drive/turntable angle signal processing system is connected with the dynamic tool face control system. The dynamic control system and the control method can be widely used for the dynamic adjustment control of the downhole directional power drilling tool face.

The invention relates to a fibre optic gas detector for the fire hazard of a coal gab area, comprising a light source, a probe, a photodetector and a signal processing unit, wherein light emitted by the light source is led into the photodetector by the probe so as to be converted into electrical signals, and the electrical signals are led into the signal processing unit to be processed. The fibre optic gas detector is characterized in that an optical circulator is arranged on a light path between the light source and the probe, the light source is connected with the first port of the optical circulator, the probe is connected with the second port of the optical circulator, the third port of the optical circulator is connected with a photoelectric converter, the probe is of a multi-time reflection type white cell structure, and a terminal optical fiber collimator and a fibre reflecting mirror are arranged on the exit end of the white cell.

The invention discloses a method for correcting a synchronous phasor under the condition of frequency shift of voltage of a power grid, and a current signal. By a uniform approximation method in a fonctionelle, an expression is reasonably corrected, a formula is corrected by the same method in an amplitude-phase space, and a quantized correction expression is finally given. A calculated amount is greatly simplified by an amplitude-phase characteristic relation approximation ellipse. By the uniform approximation method, the correction formula of amplitude is solved, and a practical function expression of engineering is given. Compared with the conventional algorithm, the method mainly solves the problem of 0/0 data shift, which is caused by conventional amplitude correction and the problem of sudden change of phase angle, which is caused by discontinuity of a tan function. The research result has certain engineering application value.

The invention discloses a path trajectory adjusting method and device. The method comprises the following steps: obtaining a real-time coordinate value of each target position in a plurality of target positions of a current path and a neighbor coordinate value of a neighbor position adjacent to each target position; adjusting the real-time coordinate value by utilizing a target filter algorithm and the neighbor coordinate value to obtain a first target coordinate value of each target position; and carrying out adjustment on the current trajectory of the current path according to the first target coordinate value of each target position to obtain a first target trajectory of the current path. Through the technical scheme, the real-time coordinate value of each target position can be subjected to initial adjustment through the target filter algorithm, and then, real-time adjustment is carried out again on the first target trajectory through one or more algorithms of a wavelet transform algorithm and a Kalman algorithm to obtain a higher-accuracy higher-precision trajectory of the current path, thereby solving the problem of GPS longitude and latitude coordinate drift.

The invention discloses an anti-blocking target tracking method based on partitioning. In combination of the quick tracking speed and the good tracking effects of a kernel correlation filter (KCF) tracking algorithm, the real-time performance of a partitioning method is ensured. The method uses a high-confidence model updating strategy, a model drift problem of the KCF in the case of blocking can be solved, the tracking speed and the tracking precision are quickened, and besides, when the partitioning method is used, after a part is blocked during the target tracking process, the position information and the reliability of the unblocked part are used reasonably, the position information after the target is blocked is determined accurately, and the robustness of tracking towards blocking is thus improved. As the method can meet the real-time performance, the method can be applied to a real scene.

The invention provides a method and device for determining movement tracks. The method comprises the steps: positions of n original track points P<1>-P<n> in a movement process of a mobile terminal are acquired, wherein the time when the mobile terminal passes through the i original track point P is earlier than the time when the mobile terminal passes through the i+1 original track point P<i+1>; the n original track points P<1>-P<n> are subjected to filtering processing, wherein filtering processing is used for deleting and/or updating the positions of at least one original track point in the n original track points P<1>-P<n>; and according to target track points obtained after the n original track points P<1>-P<n> are subjected to filtering processing, the movement tracks of the mobile terminal on at least one road in a road map are determined. According to the method and device for determining the movement tracks, a map matching process for a high-noise data acquisition mode such as base station positioning is more accurate, and the obtained movement tracks better accord with the actual condition.