Abstract: Disclosed are a many-to-many laser communication networking device and a method. The device includes: an optical field array control module, a transceiver lens array module, an array phase detection module, an array characteristic splitting module, a beam switching array module and a signal transmission module. The optical field array control module is configured to receive a plurality of beams of laser light with different angles, and adjust the corresponding angle of the laser. The transceiver lens array module is configured to convert the angle-adjusted laser into beams of second optical fiber light. The array characteristic splitting module is configured to analyze the second optical fiber light to obtain the second characteristic information. The beam switching array module is configured to control the second optical fiber light to be demodulated into baseband signals via a first path or to be forwarded via a second path according to the second characteristic information.

Abstract: A disparity image fusion method for multiband stereo cameras belongs to the field of image processing and computer vision. The method obtains pixel disparity confidence information by using the intermediate output of binocular disparity estimation. The confidence information can be used to judge the disparity credibility of the position and assist disparity fusion. The confidence acquisition process makes full use of the intermediate output of calculation, and can be conveniently embedded into the traditional disparity estimation process, with high calculation efficiency and simple and easy operation. In the disparity image fusion method for multiband stereo cameras proposed by the method, the disparity diagrams participating in the fusion are obtained according to the binocular images of the corresponding bands, which makes full use of the information of each band and simultaneously avoiding introducing uncertainty and errors.

Abstract: The present invention belongs to the field of image processing and computer vision, and discloses an acceleration method of depth estimation for multiband stereo cameras. In the process of depth estimation, during binocular stereo matching in each band, through compression of matched images, on one hand, disparity equipotential errors caused by binocular image correction can be offset to make the matching more accurate, and on the other hand, calculation overhead is reduced. In addition, before cost aggregation, cost diagrams are transversely compressed and sparsely matched, thereby reducing the calculation overhead again. Disparity diagrams obtained under different modes are fused to obtain all-weather, more complete and more accurate depth information.

Abstract: The present invention discloses a method for adaptively detecting chessboard sub-pixel level corner points. Adaptive detection of chessboard sub-pixel level corner points is completed by marking position of an initial unit grid on a chessboard, using a homography matrix H calculated by pixel coordinates of four corner points of the initial unit grid in a pixel coordinate system and world coordinates in a world coordinate system to expand outwards, adaptively adjusting size of an iteration window in the process of expanding outwards, and finally spreading to the whole chessboard region.

Abstract: A visual computing system is disclosed. The visual computing system may include a front-end device, an edge service and a cloud service which are in communication connection, the front-end device is configured to output compressed video data and feature data, the edge service is configured to store the video data, and converge the feature data, transmit various types of data and control commands, and the cloud service is configured to store algorithm models used to support various applications, and return a model stream according to a model query command, realizing a data transmission architecture with multiple streams of video stream, feature stream, and model stream in parallel, and a system architecture of end, edge, and cloud collaboration.

Abstract: Disclosed are a many-to-many laser communication networking device and a method. The device includes: an optical field array control module, a transceiver lens array module, an array phase detection module, an array characteristic splitting module, a beam switching array module and a signal transmission module. The optical field array control module is configured to receive a plurality of beams of laser light with different angles, and adjust the corresponding angle of the laser. The transceiver lens array module is configured to convert the angle-adjusted laser into beams of second optical fiber light. The array characteristic splitting module is configured to analyze the second optical fiber light to obtain the second characteristic information. The beam switching array module is configured to control the second optical fiber light to be demodulated into baseband signals via a first path or to be forwarded via a second path according to the second characteristic information.

Abstract: Disclosed is an optical window cleaning device, including: a cleaning brush; and a wiper arm. The wiper arm includes a first link, a torsion mechanism, a second link and a wiper arm drive system. A second end of the first link is hinged to a first end of the second link. The cleaning brush is hinged to a first end of the first link, a rotation trajectory of the cleaning brush and a rotation trajectory of a hinge joint between the second end of the first link and the first end of the second link are both located in a first plane. A rotation trajectory of the second link and the rotation trajectory of the hinge joint are located in the first plane. The torsion mechanism provides the first link and the second link with a force that rotates the first link relative to the second link.

Abstract: Disclosed is an optical window cleaning device, including: a cleaning brush; and a wiper arm. The wiper arm includes a first link, a torsion mechanism, a second link and a wiper arm drive system. A second end of the first link is hinged to a first end of the second link. The cleaning brush is hinged to a first end of the first link, a rotation trajectory of the cleaning brush and a rotation trajectory of a hinge joint between the second end of the first link and the first end of the second link are both located in a first plane. A rotation trajectory of the second link and the rotation trajectory of the hinge joint are located in the first plane. The torsion mechanism provides the first link and the second link with a force that rotates the first link relative to the second link.

Abstract: The present invention discloses a disparity estimation method for weakly supervised trusted cost propagation, which utilizes a deep learning method to optimize the initial cost obtained by the traditional method. By combining and making full use of respective advantages, the problems of false matching and difficult matching of untextured regions in the traditional method are solved, and the method for weakly supervised trusted cost propagation avoids the problem of data label dependency of the deep learning method.