Shenzhen Reolink Technology Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Bgi-shenzhen Co., Limited

Shenzhen Baichuan Security Technology Co., Ltd.

Bgi Shenzhen

Xiaoyu Liu

Rui Zhou

Sheng Yong

Yulong Que

Jiajun Chen

Xun Xu

Tao Yu

Haijun Liu

Dong Yang

Xiuqing Zhang

Huanming Yang

Xiaochun Cui

Wenyan Li

Congbing Li

Muyong Cao

Shitao Wang

Pu Wang

Xinxing Chen

Piao Ding

Binji Luo

Rongxin Zhou

Xiaozheng Huang

Xuyang Yin

Zhongnan Li

Li Bao

Hanjie Wu

Xuefei Fang

This application discloses a calibration method for navigation of an UAV including a vector sensor. The calibration method includes: collecting, during a flight of the UAV, a current correction value and current data during a current measurement performed by the vector sensor; acquiring previous data during a previous measurement performed by the vector sensor; acquiring an adjustment quantity according to the current data and the previous data; acquiring a next correction value according to the current correction value and the adjustment quantity; and acquiring next original data during a next measurement performed by the vector sensor, acquiring next valid data according to the next original data and the next correction value, and controlling headings and postures of the UAV according to the next valid data. With the calibration method of this application, the next valid data Vmore closely approximated to a true value can be obtained.

UAV navigation calibration method, non-transitory computer-readable storage medium and UAV implementing the same

This application discloses a calibration method for navigation of an unmanned aerial vehicle (UAV), a non-transitory computer-readable storage medium and a UAV implementing the same. The calibration method includes: collecting, during a flight of the UAV, reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset Mof the vector sensor according to the reference data; acquiring original data Rof any vector measured by the vector sensor; acquiring valid data Vaccording to the zero-point offset Mand the original data R; and control headings and postures of the UAV according to the valid data V. With the calibration method in this application, the valid data Vis defined as a vector data acquired after a zero-point error of the original data Ris eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Embodiments of this disclosure provide a speech enhancement method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a clean speech sample; decomposing the clean speech sample to obtain a first sparse matrix and m base matrices, values in the first sparse matrix being all positive numbers, and m being a positive integer greater than 1; obtaining, according to the first sparse matrix and a weight matrix of a target neural network, state vectors of neurons in a visible layer of the target neural network; and updating the weight matrix according to the state vectors of the neurons in the visible layer and the clean speech sample, to obtain a deep dictionary used for speech enhancement.

Speech enhancement method and apparatus, electronic device, and computer-readable storage medium

A range-finding method, a apparatus, a terminal system, and a computer-readable storage medium are provided. The range-finding method includes: transmitting a first check code from a transmitting terminal to a receiving terminal by using a first communication technology; transmitting a modulated signal from the transmitting terminal to the receiving terminal by using a second communication technology different from the first communication technology, where the modulated signal carries a second check code; acquiring a first moment at which the modulated signal is transmitted and a second moment at which the modulated signal is received; demodulating the second check code in the modulated signal; acquiring a range-finding confidence according to the first check code and the demodulated second check code; and acquiring a measured distance between the transmitting terminal and the receiving terminal according to the first moment, the second moment, a transmission speed of the modulated signal, and the range-finding confidence.

Range-finding method, range-finding apparatus, terminal system, and computer-readable storage medium

A monocular visual simultaneous localization and mapping (SLAM) data processing method. The SLAM data processing method comprises: obtaining rotation angular velocities and accelerations of a camera cyclically; obtaining a plurality of feature point pairs in two frames of images acquired by the camera, and obtaining pixel coordinate values of feature points in the feature point pairs, where each of the feature point pairs includes two feature points that correspond to a same feature of a same object and that are respectively in the two frames of images; obtaining to-be-selected rotation matrices and to-be-selected displacement matrices according to the pixel coordinate values; obtaining a reference rotation matrix of the camera according to the rotation angular velocities, and obtaining a reference displacement matrix of the camera according to the accelerations; and filtering the to-be-selected rotation matrices and the to-be-selected displacement matrices according to the reference rotation matrix and the reference displacement matrix.

Monocular visual simultaneous localization and mapping data processing method apparatus, terminal, and readable storage medium

A picture file processing method, apparatus, and computer readable medium are provided. The method includes parsing a picture file, to obtain a picture header information data segment, first stream data, and second stream data of a first image thereof. The first stream data of the first image is decoded to generate red-green-blue (RGB) data of the first image. The second stream data of the first image is decoded to generate Alpha data of the first image. Red-green-blue-alpha (RGBA) data corresponding to the first image are generated according to the RGB data and the Alpha data.

Image file processing method, system and storage medium

A method for automatic gain adjustment based on illuminance of video content and a camera are provided. The method includes arranging a first gain value for an image sensor according to a list of preset gain values; obtaining frequency domain data using frequency domain transformation on illuminance components of the image; setting a constant percentage value and summing up the percentage of the frequency domain data accumulated from the highest signal amplitude to obtain a first high frequency information cumulative value; repeating above steps according to a preset gain value arrangement order to obtain a number of high frequency information cumulative values; and using the gain value corresponding to a maximum high frequency information cumulative value in gain adjustment for the image sensor.

Method and camera for automatic gain adjustment based on illuminance of video content

The disclosure relates to a method and system for audio/video communication, and a client. The method includes setting up a connection with a server for audio/video communication, opening multiple windows for the audio/video communication; obtaining an enabling instruction for enabling audio/video communication of any one of the windows for audio/video communication amongst the multiple windows for audio/video communication; disabling audio/video communication for other windows for audio/video communication amongst the multiple windows for audio/video communication according to the enabling instruction. The method and system for audio/video communication obtain enabling instructions from the user for enabling any window for audio/video communication, and disable audio/video communication of the other windows for audio/video communication according to the enabling instruction, while the user would not have to close those unneeded windows for audio/video communication one by one, thereby improving the operation facility greatly, saving time and loosening the user's burden, and meeting the users' demands.

Method and system for audio/video communication, and client thereof

A method for analyzing a genome of a single cell is provided, and a kit is also provided. The method for analyzing the genome of the single cell may comprise separating and lysing the single cell to obtain a whole-genome DNA of the cell; subjecting the whole-genome DNA to a whole-genome amplification to obtain a whole-genome amplification product; performing a PCR amplification using the whole-genome amplification product as template and using housekeeping-gene-specific primers to detect the housekeeping gene of the whole-genome amplification product; and determining whether the whole genome amplification product meets a requirement for sequencing based on the detection result, wherein a uniform distribution of the amplification product in each chromosome is an indication of the amplification product meeting the requirement for sequencing.

Method for single cell genome analysis and kit therefor

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Shenzhen, China

Xiaoyu Liu