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公开(公告)号：US11075929B1
公开(公告)日：2021-07-27
申请号：US15900498
申请日：2018-02-20
申请人： Facebook, Inc.
摘要： In one embodiment, a method includes accessing time series data of a wireless communication link between a first node and a second node on a millimeter-wave communications network; determining that an anomaly exists in the time series data; determining an anomaly type for the anomaly by inputting one or more features derived from the time series data into a machine learning module; generating a report comprising an indication that the anomaly exists and a description of the anomaly type, and determining one or more treatments for the determined anomaly.
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公开(公告)号：US20200029225A1
公开(公告)日：2020-01-23
申请号：US16588770
申请日：2019-09-30
申请人： Facebook, Inc.
发明人： Guan Pang , Jing Huang , Balmanohar Paluri , Brian Christopher Karrer , Ismail Onur Filiz , Birce Tezel , Nicolas Emilio Stier Moses , Vishakan Ponnampalam , Timothy Eric Danford
IPC分类号： H04W16/18 , H04L12/721
摘要： In one embodiment, a method includes accessing a point cloud comprising a plurality of point-cloud points, each point-cloud point corresponding to a location on a surface of an object located in a region in a three-dimensional space, identifying, from the point cloud, a plurality of point clusters, each point cluster comprising a plurality of point-cloud points located within a grid segment on a two-dimensional grid derived from the three-dimensional space, selecting, for each point cluster, a set of point-cloud points from the plurality of point-cloud points in the point cluster, the set of point-cloud points being selected based on a predetermined threshold number of point-cloud points associated with an acceptable reduction in an error detection rate, and determining, for each point cluster, a structure classification based on the selected set of point-cloud points from the point cluster.
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公开(公告)号：US11019503B2
公开(公告)日：2021-05-25
申请号：US16588770
申请日：2019-09-30
申请人： Facebook, Inc.
发明人： Guan Pang , Jing Huang , Balmanohar Paluri , Brian Christopher Karrer , Ismail Onur Filiz , Birce Tezel , Nicolas Emilio Stier Moses , Vishakan Ponnampalam , Timothy Eric Danford
IPC分类号： G06T15/00 , H04W16/18 , H04L12/721 , H04W40/20
摘要： In one embodiment, a method includes accessing a point cloud comprising a plurality of point-cloud points, each point-cloud point corresponding to a location on a surface of an object located in a region in a three-dimensional space, identifying, from the point cloud, a plurality of point clusters, each point cluster comprising a plurality of point-cloud points located within a grid segment on a two-dimensional grid derived from the three-dimensional space, selecting, for each point cluster, a set of point-cloud points from the plurality of point-cloud points in the point cluster, the set of point-cloud points being selected based on a predetermined threshold number of point-cloud points associated with an acceptable reduction in an error detection rate, and determining, for each point cluster, a structure classification based on the selected set of point-cloud points from the point cluster.
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公开(公告)号：US10536860B2
公开(公告)日：2020-01-14
申请号：US15592100
申请日：2017-05-10
申请人： Facebook, Inc.
发明人： Guan Pang , Jing Huang , Balmanohar Paluri , Brian Karrer , Ismail Onur Filiz , Birce Tezel , Nicolas Emilio Stier Moses , Vishakan Ponnampalam , Timothy Eric Danford
IPC分类号： G06T15/00 , H04W16/18 , H04L12/721 , H04W40/20
摘要： In one embodiment, a method includes accessing a point cloud comprising several points, wherein each point corresponds to a location on a surface of an object located in three-dimensional space; determining whether each point in the point cloud is part of a linear structure, a planar structure, or a volumetric structure; identifying a plurality of point clusters, wherein each point cluster comprises one or more points that are located within a grid segment on a two-dimensional grid derived from the three-dimensional space; determining, for each point cluster, whether the point cluster represents a vertical-linear structure or a portion of a vertical-linear structure; identifying one or more point-cluster pairs, wherein each point-cluster pair includes two point clusters corresponding to one or more vertical-linear structures within a threshold distance in the three-dimensional space; and determining, for each point-cluster pair, whether a line-of-sight exists between each point-cluster in the point-cluster pair.
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公开(公告)号：US20180332480A1
公开(公告)日：2018-11-15
申请号：US15592100
申请日：2017-05-10
申请人： Facebook, Inc.
发明人： Guan Pang , Jing Huang , Balmanohar Paluri , Brian Karrer , Ismail Onur Filiz , Birce Tezel , Nicolas Emilio Stier Moses , Vishakan Ponnampalam , Timothy Eric Danford
IPC分类号： H04W16/18 , H04L12/761
摘要： In one embodiment, a method includes accessing a point cloud comprising several points, wherein each point corresponds to a location on a surface of an object located in three-dimensional space; determining whether each point in the point cloud is part of a linear structure, a planar structure, or a volumetric structure; identifying a plurality of point clusters, wherein each point cluster comprises one or more points that are located within a grid segment on a two-dimensional grid derived from the three-dimensional space; determining, for each point cluster, whether the point cluster represents a vertical-linear structure or a portion of a vertical-linear structure; identifying one or more point-cluster pairs, wherein each point-cluster pair includes two point clusters corresponding to one or more vertical-linear structures within a threshold distance in the three-dimensional space; and determining, for each point-cluster pair, whether a line-of-sight exists between each point-cluster in the point-cluster pair.
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