Abstract: Embodiments of the present invention relate to the field of aerial vehicle technologies, and disclose a method and apparatus for video data transmission, an image transmitting terminal, and an aerial vehicle image transmission system. The method includes: acquiring an original image; converting the original image into a first image, the first image being an image conforming to a format of an audio/video interface; converting the first image into a second image, the second image being an image conforming to a format of an interface of a display apparatus; encoding the second image to obtain encoded video image frames; and transmitting the encoded video image frames to the display apparatus. By means of the image transmission method provided in this embodiment of the present invention, the image is transmitted in real time.

Abstract: The present invention discloses a camera imaging method, a camera system and an unmanned aerial vehicle (UAV). The camera imaging method is applied to a camera system of the UAV. The camera system includes a signal trigger device and a signal receiving device. The method includes: acquiring, by the signal trigger device, a shooting instruction; generating, by the signal trigger device, a trigger signal with a preset trigger frame rate according to the shooting instruction; and performing, by the signal receiving device, exposure at the preset trigger frame rate according to the trigger signal; where the preset trigger frame rate is greater than a default exposure frame rate of the signal receiving device. According to the present invention, an exposure frame rate of the signal receiving device is adjusted to the preset trigger frame rate, so that the signal receiving device can perform exposure according to the preset trigger frame rate, and synchronous dual-light exposure is implemented.

Abstract: The present invention provides a data read-write method and apparatus and a circular queue. The method includes: obtaining an offset position of a write pointer from a queue head of a circular queue; determining an offset position of a read pointer according to the offset position of the write pointer; and reading data from the circular queue according to the offset position of the read pointer. Single input multiple output of share memory is implemented, and therefore a plurality of read threads may read data from the circular queue in parallel, thereby effectively improving read-write efficiency of data, and reducing memory consumption.

Abstract: Embodiments are a high-dynamic-range (HDR) image automatic exposure method and an unmanned aerial vehicle (UAV). The HDR image automatic exposure method is applicable to a UAV and includes: obtaining statistical information and a window weight of automatic exposure; obtaining an evaluation value of the automatic exposure according to the statistical information and the window weight that are obtained; obtaining a compensation amount of the automatic exposure according to the evaluation value and an obtained automatic exposure target value; and triggering the automatic exposure when the compensation amount meets a preset trigger condition. Therefore, problems such as inaccurate brightness and darkness and oscillation during automatic exposure can be finally avoided.

Abstract: Embodiments of the present application are an image fusion method and a bifocal camera. The method includes: acquiring a thermal image captured by the thermal imaging lens and a visible light image captured by the visible light lens; determining a first focal length when the thermal imaging lens captures the thermal image and a second focal length when the visible light lens captures the visible light image; determining a size calibration parameter and a position calibration parameter of the thermal image according to the first focal length and the second focal length; adjusting a size of the thermal image according to the size calibration parameter, and moving the adjusted thermal image to the visible light image according to the position calibration parameter for registration with the visible light image, to obtain to-be-fused images; and fusing the to-be-fused images to generate a bifocal fused image.

Abstract: Embodiments of the present invention are an image exposure method and device for an unmanned aerial vehicle, and an unmanned aerial vehicle. The method comprises: firstly, acquiring the original image information about a target object, then obtaining the weighted image information according to the original image information, further obtaining the compensation amount of an automatic exposure according to the weighted image information, and finally adjusting an automatic exposure strategy according to the compensation amount of the automatic exposure. The method prevents an unmanned aerial vehicle from easily losing a target during the process of the unmanned aerial vehicle automatically following a moving object, even when encountering a change in light and shadow.

Abstract: Embodiments of the present invention discloses an imaging calibration method and apparatus for a dual-light camera and a dual-light camera. A thermal imaging image including a first calibration frame image and a visible light image including a second calibration frame image are acquired. The first calibration frame image and the second calibration frame image are images of a same calibration frame respectively photographed by a thermal imaging camera and a visible light camera. First position information of the first calibration frame image in the thermal imaging image and second position information of the second calibration frame in the visible light image are acquired. Calibration parameters are generated according to the first position information and the second position information. A position of the thermal imaging image synthesized in the visible light image in the visible light image is adjusted according to the calibration parameters.

Abstract: The embodiments are a zoom method and apparatus, an unmanned aerial vehicle, an unmanned aircraft system and a storage medium. The zoom method is applied to an unmanned aerial vehicle including an image capturing apparatus and the method includes: controlling the image capturing apparatus to capture an initial image, where a resolution of the initial image is W0*H0 and an area of the initial image is S0; obtaining a cropped image according to the initial image, where the cropped image is an image with an area of S cropped from a preset region in the initial image, S0/S=C and C is a digital zoom factor of the image capturing apparatus; and obtaining a zoom image according to the cropped image, where the zoom image is an image obtained by zooming the cropped image by C/A times, a resolution of the zoom image is W1*H1, A=W0/W1 and C?A.

Abstract: Embodiments are a method for controlling a lens module, an aerial vehicle, and an aircraft system, wherein the method for controlling a lens module is applied to the aerial vehicle, the aerial vehicle is provided with a tripod head to mount the lens module thereon, and the method includes: acquiring model data of the lens module if the lens module is adapted to the aerial vehicle; determining a lens model of the lens module according to the model data; identifying the lens module corresponding to the lens model to control the lens module. Following the method, the model data of the lens module is acquired, the lens module adapted to the corresponding aerial vehicle is identified, and a control program is called to control the lens module. Therefore, the aerial vehicle can identify and enable drive control over a new lens module.

Abstract: The embodiments are a method, a system and an apparatus for implementing an omnidirectional vision obstacle avoidance, and a storage medium. The method for implementing an omnidirectional vision obstacle avoidance includes: transmitting a trigger signal to an image capture device, to trigger the image capture device to capture image signals; combining the image signals to obtain combined image data; disassembling the combined image data to obtain disassembled image data; and visually processing the disassembled image data to acquire a visual image. Based on the technical solutions in the present invention, a multi-lens access problem of existing aircrafts during omnidirectional vision obstacle avoidance is resolved and image processing efficiency and performance are improved.

Abstract: The embodiments are an image processing method and apparatus, an aerial camera and a storage medium. The method includes: receiving an image mode switching instruction, wherein the image mode switching instruction is configured to indicate to switch a current image mode into a target image mode, and the image mode switching instruction carries the target image mode; and processing a collected image according to the target image mode. Therefore, the image can be flexibly processed based on the target image mode in the image mode switching instruction, such that the image display requirements in different scenarios are met.

Abstract: The embodiments are an aircraft time synchronization system and method. The system comprises: a first communication module and a second communication module, wherein data transmission is performed between the first communication module and the second communication module via a communication line, and an I/O interface of the first communication module is connected to the I/O interface of the second communication module via an interruption signal line; the first communication module sends the data information to the second communication module via the communication line, and at the same time sends the triggered interruption signal to the second communication module via the interruption signal line; the second communication module performs time synchronization with the first communication module based on the communication time difference and system time difference with the first communication module determined according to the receiving time of the data information and interruption signal and the sending time.

Abstract: The embodiments are a replaceable gimbal camera, an aircraft, an aircraft system, and a gimbal replacement method for an aircraft. The replaceable gimbal camera is applied to the aircraft. The aircraft is provided with a fuselage and a gimbal. The replaceable gimbal camera includes an image capture module, a static storage module, and an image processing module. The static storage module is configured to store parameter data. The image processing module is configured to read the parameter data stored in the static storage module, where after the gimbal is replaced, the image processing module is configured to read parameter data of a gimbal after replacement and configure corresponding parameter data for an image capture module of the gimbal after replacement.

Abstract: Embodiments of the present invention relate to an image processing method and device for an aerial camera, and an unmanned aerial vehicle. The method includes: receiving first image data and second image data, the first image data being image data from a high-resolution visible light lens and the second image data being infrared data from an infrared thermal imaging lens; cutting a target region from the first image data; displaying the target region in a first picture and displaying the second image data in a second picture respectively; and superimposing the first picture and the second picture to generate a picture-in-picture image. In this way, a function of magnifying a local target region can be implemented, thereby effectively improving user experience, and meeting requirements of a user for detailed viewing of a specific target.

Abstract: Embodiments of the present invention discloses an image processing method and apparatus, a device and a storage medium. The method includes: acquiring a first image and a second image, where the first image and the second image are respectively captured and transmitted by a first lens and a second lens disposed on an unmanned aerial vehicle (UAV); acquiring current field of view (FOV) information of the first lens and the second lens; and determining target display information of the second lens according to the FOV information and datum display information set for the first lens.

Abstract: The present invention discloses a data collection method, an unmanned aerial vehicle (UAV) and a storage medium. The method is used for a vision chip of the UAV, the vision chip including a main operating system and a real-time operating system, and the method includes: generating, by the real-time operating system, a trigger signal; collecting, by the real-time operating system based on the trigger signal, flight control data of the UAV and controlling an image sensor to collect an image sequence; synchronizing, by the real-time operating system, a time of the main operating system with a time of the real-time operating system; and performing, by the main operating system, visual processing on the flight control data and the image sequence, to ensure that the flight control data and the image sequence are collected synchronously. By using the method, accuracy of data collected during controlling of the UAV can be improved.

Abstract: The present invention discloses a camera imaging method, a camera system and an unmanned aerial vehicle (UAV). The camera imaging method is applied to a camera system of the UAV. The camera system includes a signal trigger device and a signal receiving device. The method includes: acquiring, by the signal trigger device, a shooting instruction; generating, by the signal trigger device, a trigger signal with a preset trigger frame rate according to the shooting instruction; and performing, by the signal receiving device, exposure at the preset trigger frame rate according to the trigger signal; where the preset trigger frame rate is greater than a default exposure frame rate of the signal receiving device. According to the present invention, an exposure frame rate of the signal receiving device is adjusted to the preset trigger frame rate, so that the signal receiving device can perform exposure according to the preset trigger frame rate, and synchronous dual-light exposure is implemented.

Abstract: Embodiments of the present invention relate to the technical field of image processing, and disclose an image data processing method and apparatus, an image processing chip, and an aircraft. The method comprises: receiving K channels of image data; performing splitting processing on the L channels of second image data in the K channels of image data to obtain M channels of third image data; performing format conversion processing on the (N?M) channels of first image data and the M channels of third image data to obtain a color image in a preset format; and performing image processing on a gray part component of the color image in the preset format to obtain a depth map. The method can better meet the requirements of multi-channel image data processing.

Abstract: Embodiments of the present invention relate to a multi-thread exit method and a mobile terminal. The method is applicable to the mobile terminal. The method includes: obtaining an exit identifier and crash determination information of a thread; and destroying the thread according to the exit identifier and the crash determination information. In the method, an exit identifier and crash determination information of a thread are obtained, both the exit identifier and the crash determination information of the thread are determined, and different destruction modes are selected according to determination results to destroy the thread, thereby avoiding crash and congestion when a multi-thread exits and improving the stability of multi-thread exit.

Abstract: Embodiments of the present invention relate to an encoding method, an image encoder and image transmission system. The encoding method includes: processing raw image data to obtain at least two channels of different output images; and performing multi-stream encoding on the at least two channels of output images, to form at least two corresponding channels of encoded data to support at least two types of service requirements. A multi-stream encoding manner is used in the encoding method, to adopt different encoding strategies for different service requirements thereby implementing services smoother while meeting the different service requirements.