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公开(公告)号：US09575490B2
公开(公告)日：2017-02-21
申请号：US14828700
申请日：2015-08-18
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette
CPC classification number: G05D1/0214 , B60W10/04 , B60W10/20 , B60W30/00 , B60W30/143 , B60W2710/20 , B60W2720/106 , G01C21/26 , G01C21/32 , G01C21/3407 , G01S19/42 , G01S2013/936 , G05D1/00 , G05D1/0088 , G05D1/0236 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0276 , G05D2201/0213 , G06K9/00 , G06K9/00798 , G06K9/00818
Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.
Abstract translation: 本公开的方面涉及区分主动和非活动结构区域。 在一个示例中，这可以包括识别与施工区域相关联的施工对象。 所识别的施工对象可用于映射施工区域的区域。 然后可以使用详细的地图信息来对施工区域的活动进行分类。 施工区的区域和分类可以添加到详细的地图信息中。 在将施工区域和分类添加到详细地图信息之后，可以识别施工对象（或另一施工对象）。 施工对象的位置可以用于从详细的地图信息中识别施工区域和分类。 分类的分类可以用于操作具有自主模式的车辆。
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2.发明授权Methods and systems for scan matching approaches for vehicle heading estimation 有权用于车辆航向估计的扫描匹配方法的方法和系统公开(公告)号：US09043069B1
公开(公告)日：2015-05-26
申请号：US13670917
申请日：2012-11-07
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette , Jiajun Zhu
CPC classification number: G05D1/00 , B60W30/00 , G01S17/58 , G01S17/89 , G06T7/215 , G06T2207/10028 , G06T2207/30261
Abstract: Methods and devices for estimating a heading of a target vehicle are disclosed. An example method may include determining a first point cloud representative of a location of a target vehicle at a first time period and a second point cloud representative of the location of the target vehicle at a second time period. Using a computing device, an initial comparison between the first point cloud and the second point cloud may be determined based on an estimate of a speed for the target vehicle and a time difference between the first time period and the second time period. Additionally, the initial comparison may be revised based on a minimization of a distance between points of the first point cloud and corresponding points of the second point cloud. An estimate of a heading of the target vehicle may then be determined based on the revised comparison.
Abstract translation: 公开了用于估计目标车辆的航向的方法和装置。 示例性方法可以包括：在第一时间段确定代表目标车辆的位置的第一点云，以及代表目标车辆在第二时间段的位置的第二点云。 使用计算装置，可以基于目标车辆的速度的估计和第一时间段与第二时间段之间的时间差来确定第一点云和第二点云之间的初始比较。 另外，可以基于第一点云的点与第二点云的对应点之间的距离的最小化来修改初始比较。 然后可以基于修订的比较来确定目标车辆的航向的估计。
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Patent Agency Ranking
公开(公告)号：US20140309833A1
公开(公告)日：2014-10-16
申请号：US13859990
申请日：2013-04-10
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette
IPC: G05D1/00
CPC classification number: G05D1/0214 , B60W10/04 , B60W10/20 , B60W30/00 , B60W30/143 , B60W2710/20 , B60W2720/106 , G01C21/26 , G01C21/32 , G01C21/3407 , G01S19/42 , G01S2013/936 , G05D1/00 , G05D1/0088 , G05D1/0236 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0276 , G05D2201/0213 , G06K9/00 , G06K9/00798 , G06K9/00818
Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.
Abstract translation: 本公开的方面涉及区分主动和非活动结构区域。 在一个示例中，这可以包括识别与施工区域相关联的施工对象。 所识别的施工对象可用于映射施工区域的区域。 然后可以使用详细的地图信息来对施工区域的活动进行分类。 施工区的区域和分类可以添加到详细的地图信息中。 在将施工区域和分类添加到详细地图信息之后，可以识别施工对象（或另一施工对象）。 施工对象的位置可以用于从详细的地图信息中识别施工区域和分类。 分类的分类可以用于操作具有自主模式的车辆。
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公开(公告)号：US09141107B2
公开(公告)日：2015-09-22
申请号：US13859990
申请日：2013-04-10
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette
CPC classification number: G05D1/0214 , B60W10/04 , B60W10/20 , B60W30/00 , B60W30/143 , B60W2710/20 , B60W2720/106 , G01C21/26 , G01C21/32 , G01C21/3407 , G01S19/42 , G01S2013/936 , G05D1/00 , G05D1/0088 , G05D1/0236 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0276 , G05D2201/0213 , G06K9/00 , G06K9/00798 , G06K9/00818
Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.
Abstract translation: 本公开的方面涉及区分主动和非活动结构区域。 在一个示例中，这可以包括识别与施工区域相关联的施工对象。 所识别的施工对象可用于映射施工区域的区域。 然后可以使用详细的地图信息来对施工区域的活动进行分类。 施工区的区域和分类可以添加到详细的地图信息中。 在将施工区域和分类添加到详细地图信息之后，可以识别施工对象（或另一施工对象）。 施工对象的位置可以用于从详细的地图信息中识别施工区域和分类。 分类的分类可以用于操作具有自主模式的车辆。
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公开(公告)号：US20170176996A1
公开(公告)日：2017-06-22
申请号：US15370361
申请日：2016-12-06
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette
CPC classification number: G05D1/0214 , B60W10/04 , B60W10/20 , B60W30/00 , B60W30/143 , B60W2710/20 , B60W2720/106 , G01C21/26 , G01C21/32 , G01C21/3407 , G01S19/42 , G01S2013/936 , G05D1/00 , G05D1/0088 , G05D1/0236 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0276 , G05D2201/0213 , G06K9/00 , G06K9/00798 , G06K9/00818
Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.
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公开(公告)号：US20160035223A1
公开(公告)日：2016-02-04
申请号：US14448299
申请日：2014-07-31
Applicant: Google Inc.
Inventor： Jens-Steffen Ralf Gutmann , Andreas Wendel , Nathaniel Fairfield , Dmitri A. Dolgov , Donald Jason Burnette
IPC: G08G1/07
CPC classification number: B60W30/09 , G08G1/09623 , G08G1/09626 , G08G1/096725 , G08G1/096783 , G08G1/096791
Abstract: Aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. For example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. The one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. A starting point of the intersection may be identified. Based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.
Abstract translation: 本公开的方面涉及确定车辆是否应当经过十字路口。 例如，一个或多个车辆的计算机可以识别交通信号灯将从黄色变为红色的时间。 一个或多个计算机还可以在交通信号灯从黄色变为红色时估计车辆的位置。 可以确定交点的起点。 基于交通信号灯是否从黄色变为红色，车辆的估计位置是否至少超过起点的阈值距离，计算机可以确定车辆是否应该继续穿过交叉路口。
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公开(公告)号：US20150355640A1
公开(公告)日：2015-12-10
申请号：US14828700
申请日：2015-08-18
Applicant: Google Inc.
Inventor： David I. Ferguson , Donald Jason Burnette
CPC classification number: G05D1/0214 , B60W10/04 , B60W10/20 , B60W30/00 , B60W30/143 , B60W2710/20 , B60W2720/106 , G01C21/26 , G01C21/32 , G01C21/3407 , G01S19/42 , G01S2013/936 , G05D1/00 , G05D1/0088 , G05D1/0236 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0276 , G05D2201/0213 , G06K9/00 , G06K9/00798 , G06K9/00818
Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.
Abstract translation: 本公开的方面涉及区分主动和非活动结构区域。 在一个示例中，这可以包括识别与施工区域相关联的施工对象。 所识别的施工对象可用于映射施工区域的区域。 然后可以使用详细的地图信息来对施工区域的活动进行分类。 施工区的区域和分类可以添加到详细的地图信息中。 在将施工区域和分类添加到详细地图信息之后，可以识别施工对象（或另一施工对象）。 施工对象的位置可以用于从详细的地图信息中识别施工区域和分类。 分类的分类可以用于操作具有自主模式的车辆。
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