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Patent Agency Ranking
公开(公告)号：US20220299592A1
公开(公告)日：2022-09-22
申请号：US17695784
申请日：2022-03-15
Applicant: SRI International
Inventor： Han-Pang Chiu , Abhinav Rajvanshi , Alex Krasner , Mikhail Sizintsev , Glenn A. Murray , Supun Samarasekera
Abstract: A method, apparatus and system for determining change in pose of a mobile device include determining from first ranging information received at a first and a second receiver on the mobile device from a stationary node during a first time instance, a distance from the stationary node to the first receiver and the second receiver, determining from second ranging information received at the first receiver and the second receiver from the stationary node during a second time instance, a distance from the stationary node to the first receiver and second receiver, and determining from the determined distances during the first time instance and the second time instance, how far and in which direction the first receiver and the second receiver moved between the first time instance and the second time instance to determine a change in pose of the mobile device, where a position of the stationary node is unknown.
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公开(公告)号：US12062186B2
公开(公告)日：2024-08-13
申请号：US17496403
申请日：2021-10-07
Applicant: SRI International
Inventor： Han-Pang Chiu , Junjiao Tian , Zachary Seymour , Niluthpol C. Mithun , Alex Krasner , Mikhail Sizintsev , Abhinav Rajvanshi , Kevin Kaighn , Philip Miller , Ryan Villamil , Supun Samarasekera
CPC classification number: G06T7/174 , G06T3/40 , G06T7/38 , G06T7/50 , G06T2207/10016 , G06T2207/10024 , G06T2207/20112
Abstract: A method, machine readable medium and system for RGBD semantic segmentation of video data includes determining semantic segmentation data and depth segmentation data for less than all classes for images of each frame of a first video, determining semantic segmentation data and depth segmentation data for images of each key frame of a second video including a synchronous combination of respective frames of the RGB video and the depth-aware video in parallel to the determination of the semantic segmentation data and the depth segmentation data for each frame of the first video, temporally and geometrically aligning respective frames of the first video and the second video, and predicting semantic segmentation data and depth segmentation data for images of a subsequent frame of the first video based on the determination of the semantic segmentation data and depth segmentation data for images of a key frame of the second video.
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公开(公告)号：US20240312197A1
公开(公告)日：2024-09-19
申请号：US18605594
申请日：2024-03-14
Applicant: SRI International
Inventor： Han-Pang Chiu , Niluthpol C. Mithun , Supun Samarasekera , Abhinav Rajvanshi , Xingchen Zhao , Md Nazmul Karim
IPC: G06V10/82 , G06V10/771 , G06V10/774 , G06V10/776
CPC classification number: G06V10/82 , G06V10/771 , G06V10/7753 , G06V10/776
Abstract: In general, techniques are described for unsupervised domain adaptation of models with pseudo-label curation. In an example, a method includes generating a plurality of pseudo-labels for a dataset of unlabeled data using a source machine learning model; estimating a reliability of each pseudo-label of the plurality of pseudo-labels using one or more reliability measures; selecting a subset of the plurality of pseudo-labels having estimated reliabilities that satisfy a reliability threshold; and training, using one or more curriculum learning techniques, a target machine learning model starting with the selected subset of the plurality of pseudo-labels and the corresponding unlabeled data.
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公开(公告)号：US10810734B2
公开(公告)日：2020-10-20
申请号：US16457156
申请日：2019-06-28
Applicant: SRI International , Obayashi Corporation
Inventor： Garbis Salgian , Bogdan C. Matei , Matthieu Henri Lecce , Abhinav Rajvanshi , Supun Samarasekera , Rakesh Kumar , Tamaki Horii , Yuichi Ikeda , Hidefumi Takenaka
Abstract: Embodiments of the present invention generally relate to computer aided rebar measurement and inspection systems. In some embodiments, the system may include a data acquisition system configured to obtain fine-level rebar measurements, images or videos of rebar structures, a 3D point cloud model generation system configured to generate a 3D point cloud model representation of the rebar structure from information acquired by the data acquisition system, a rebar detection system configured to detect rebar within the 3D point cloud model generated or the rebar images or videos of the rebar structures, a rebar measurement system to measure features of the rebar and rebar structures detected by the rebar detection system, and a discrepancy detection system configured to compare the measured features of the rebar structures detected by the rebar detection system with a 3D Building Information Model (BIM) of the rebar structures, and determine any discrepancies between them.
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公开(公告)号：US20200005447A1
公开(公告)日：2020-01-02
申请号：US16457156
申请日：2019-06-28
Applicant: SRI International , Obayashi Corporation
Inventor： Garbis Salgian , Bogdan C. Matei , Matthieu Henri Lecce , Abhinav Rajvanshi , Supun Samarasekera , Rakesh Kumar , Tamaki Horii , Yuichi Ikeda , Hidefumi Takenaka
Abstract: Embodiments of the present invention generally relate to computer aided rebar measurement and inspection systems. In some embodiments, the system may include a data acquisition system configured to obtain fine-level rebar measurements, images or videos of rebar structures, a 3D point cloud model generation system configured to generate a 3D point cloud model representation of the rebar structure from information acquired by the data acquisition system, a rebar detection system configured to detect rebar within the 3D point cloud model generated or the rebar images or videos of the rebar structures, a rebar measurement system to measure features of the rebar and rebar structures detected by the rebar detection system, and a discrepancy detection system configured to compare the measured features of the rebar structures detected by the rebar detection system with a 3D Building Information Model (BIM) of the rebar structures, and determine any discrepancies between them.
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