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公开(公告)号：US09429434B2
公开(公告)日：2016-08-30
申请号：US14855516
申请日：2015-09-16
Applicant: Google Inc.
Inventor： Thomas Germano O'Neill , Carl Ferman Smith , Alena Fong , Mohammed Waleed Kadous , Russell Heywood
CPC classification number: G01C21/206 , H04W4/029 , H04W4/043
Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.
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公开(公告)号：US09349104B2
公开(公告)日：2016-05-24
申请号：US14037332
申请日：2013-09-25
Applicant: Google Inc.
Inventor： Thomas Germano O'Neill , Brian Patrick Williams
CPC classification number: G06N99/005 , G06K9/6256 , G06N5/025 , G06N7/005 , H04L67/10
Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.
Abstract translation: 方法和设备涉及利用机器学习的地理围栏应用。 计算设备可以接收多个地理围栏状态指示，其中地理围栏状态指示包括与第一位置处的地理围栏相关联的训练数据。 地理围栏与地理区域相关联。 计算设备通过提供训练数据作为地理围栏状态分类器的输入来训练地理围栏状态分类器来确定地理位置状态。 训练数据包括用于多个训练特征的数据。 在地理围栏状态分类器被训练之后，计算设备接收与第二位置相关联的查询数据。 查询数据包括多个查询特征的数据。 查询功能包括对应于训练功能的查询功能。 将查询数据输入到地理围栏状态分类器。 在提供查询数据之后，经过训练的地理位置状态分类器指示地理位置状态。
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公开(公告)号：US20160003626A1
公开(公告)日：2016-01-07
申请号：US14855516
申请日：2015-09-16
Applicant: Google Inc.
Inventor： Thomas Germano O'Neill , Carl Ferman Smith , Alena Fong , Mohammed Waleed Kadous , Russell Heywood
CPC classification number: G01C21/206 , H04W4/029 , H04W4/043
Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.
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公开(公告)号：US20150088792A1
公开(公告)日：2015-03-26
申请号：US14037332
申请日：2013-09-25
Applicant: Google Inc.
Inventor： Thomas Germano O'Neill , Brian Patrick Williams
CPC classification number: G06N99/005 , G06K9/6256 , G06N5/025 , G06N7/005 , H04L67/10
Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.
Abstract translation: 方法和设备涉及利用机器学习的地理围栏应用。 计算设备可以接收多个地理围栏状态指示，其中地理围栏状态指示包括与第一位置处的地理围栏相关联的训练数据。 地理围栏与地理区域相关联。 计算设备通过提供训练数据作为地理围栏状态分类器的输入来训练地理围栏状态分类器来确定地理位置状态。 训练数据包括用于多个训练特征的数据。 在地理围栏状态分类器被训练之后，计算设备接收与第二位置相关联的查询数据。 查询数据包括多个查询特征的数据。 查询功能包括对应于训练功能的查询功能。 将查询数据输入到地理围栏状态分类器。 在提供查询数据之后，经过训练的地理位置状态分类器指示地理位置状态。
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