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公开(公告)号:US12068778B2
公开(公告)日:2024-08-20
申请号:US18278250
申请日:2021-06-28
Applicant: PENG CHENG LABORATORY
Inventor: Shupeng Deng , Caiming Sun , Weiwei Liu , Aidong Zhang
IPC: H04B10/079 , G01J9/00
CPC classification number: H04B10/0795 , G01J2009/002
Abstract: An on-chip wavefront sensor, an optical chip, and a communication device are disclosed. The on-chip wavefront sensor includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; a reference light source module configured for generating a plurality of intrinsic light beams; a phase shifter array configured for performing phase shifting processing on the intrinsic light beams to obtain reference light; and an optical detection module configured for performing coherent balanced detection according to the reference light and the sub-light spots to obtain a photocurrent corresponding to each of the sub-light spots.
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公开(公告)号:US11948333B2
公开(公告)日:2024-04-02
申请号:US17604288
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
CPC classification number: G06T7/85 , G06F17/12 , G06T5/50 , G06T2207/20221 , G06T2207/20228
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.
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公开(公告)号:US20230075664A1
公开(公告)日:2023-03-09
申请号:US17469274
申请日:2021-09-08
Applicant: Peng Cheng Laboratory
Inventor: Tao WEI , Yonghong TIAN , Yaowei WANG , Yun LIANG , Chang Wen CHEN , Wen GAO
Abstract: Disclosed is a method and system for achieving optimal separable convolutions, the method is applied to image analyzing and processing and comprises steps of: inputting an image to be analyzed and processed; calculating three sets of parameters of a separable convolution: an internal number of groups, a channel size and a kernel size of each separated convolution, and achieving optimal separable convolution process; and performing deep neural network image process. The method and system in the present disclosure adopts implementation of separable convolution which efficiently reduces a computational complexity of deep neural network process. Comparing to the FFT and low rank approximation approaches, the method and system disclosed in the present disclosure is efficient for both small and large kernel sizes and shall not require a pre-trained model to operate on and can be deployed to applications where resources are highly constrained.
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公开(公告)号:US20220379350A1
公开(公告)日:2022-12-01
申请号:US17887128
申请日:2022-08-12
Applicant: PENG CHENG LABORATORY
Inventor: Caiming SUN , Aidong ZHANG , Jing LIN , Xinke TANG
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.
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公开(公告)号:US20220207776A1
公开(公告)日:2022-06-30
申请号:US17604288
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei ZHONG , Hong ZHANG , Haojie LI , Zhihui WANG , Risheng LIU , Xin FAN , Zhongxuan LUO , Shengquan LI
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.
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公开(公告)号:US20220092809A1
公开(公告)日:2022-03-24
申请号:US17604239
申请日:2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor: Wei ZHONG , Hong ZHANG , Haojie LI , Zhihui WANG , Risheng LIU , Xin FAN , Zhongxuan LUO , Shengquan LI
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.
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