公开(公告)号：US09204259B2

公开(公告)日：2015-12-01

申请号：US14069869

申请日：2013-11-01

Applicant: Google Inc.

Inventor： Abhijit S. Ogale ,  Ehud Rivlin

IPC: H04W4/00 ,  H04W4/04

CPC classification number: H04W4/04

Abstract: Aspects of this disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.

Abstract translation: 本公开的方面提供了用于生成可用于预测室内位置的室内空间中的无线网络环境的模型的系统和方法。 本公开涉及收集无线网络接入点标识符信息，并且收集在各个位置观察到的功率电平以生成各种信号映射。 信号图可以用于产生室内空间的模型。 在一个示例中，投票模型可以使用多个信号映射的概率分布，以便识别与在客户端设备处接收的当前信号重叠的最高概率的位置。 一旦确定了位置，它可以用于协助任何数量的导航功能，例如向另一室内位置（例如，会议室或出口）提供转弯方向，或简单地提供关于当前位置的信息。

公开(公告)号：US20150153188A1

公开(公告)日：2015-06-04

申请号：US14034746

申请日：2013-09-24

Applicant: Google Inc.

Inventor： Abhijit S. Ogale ,  Stephane Lafon ,  Andrea Frome

IPC: G01C21/34

CPC classification number: G01C21/34 ,  G01C21/26 ,  G01C21/32 ,  G01C21/3476 ,  G01C21/3602 ,  G01S5/16 ,  G01S17/08 ,  G01S19/51

Abstract: Systems and methods provide approximations of latitude and longitude coordinates of objects, for example a business, in street level images. The images may be collected by a camera. An image of a business is collected along with GPS coordinates and direction of the camera. Depth maps of the images may be generated, for example, based on laser depth detection or displacement of the business between two images caused by a change in the position of the camera. After identifying a business in one or more images, the distance from the camera to a point or area relative to the business in the one or more images may be determined based on the depth maps. Using this distance and the direction of the camera which collected the one or more images and GPS coordinates of the camera, the approximate GPS coordinates of the business may be determined.

Abstract translation: 系统和方法提供了街道级图像中对象（例如商家）的纬度和经度坐标的近似。 图像可以由相机收集。 收集企业的图像以及相机的GPS坐标和方向。 图像的深度图可以例如基于激光深度检测或由相机的位置的改变引起的两个图像之间的业务的移位而产生。 在识别一个或多个图像中的业务之后，可以基于深度图确定从一个或多个图像中的摄像机到相对于业务的点或区域的距离。 使用该距离和收集摄像机的一个或多个图像和GPS坐标的摄像机的方向，可以确定业务的近似GPS坐标。

公开(公告)号：US20150256980A1

公开(公告)日：2015-09-10

申请号：US14058632

申请日：2013-10-21

Applicant: Google Inc.

Inventor： Abhijit S. Ogale ,  Ehud Rivlin

IPC: H04W4/04

CPC classification number: H04W4/043 ,  G01S5/0252 ,  H04L41/12 ,  H04W4/04 ,  H04W16/20 ,  H04W24/10 ,  H04W64/00

Abstract: Aspects of the present disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.

Abstract translation: 本公开的方面提供用于在室内空间中生成可用于预测室内位置的无线网络环境的模型的系统和方法。 本公开涉及收集无线网络接入点标识符信息，并且收集在各个位置观察到的功率电平以生成各种信号映射。 信号图可以用于产生室内空间的模型。 在一个示例中，投票模型可以使用多个信号映射的概率分布，以便识别与在客户端设备处接收的当前信号重叠的最高概率的位置。 一旦确定了位置，它可以用于协助任何数量的导航功能，例如向另一室内位置（例如，会议室或出口）提供转弯方向，或简单地提供关于当前位置的信息。

公开(公告)号：US09092695B1

公开(公告)日：2015-07-28

申请号：US13799829

申请日：2013-03-13

Applicant: Google Inc.

Inventor： Abhijit S. Ogale

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/6202 ,  G06K9/00791 ,  G06K9/00818 ,  G06K9/4642

Abstract: Objects, such as road signs, may be detected in real-time using a camera or other image capture device. As images are received through the camera, candidate signs are first detected. The detection of candidate signs employs constant-time normalized cross correlation, including generation of intermediate images and integral images, and applying a template of concentric, different sized shapes over the integral images. From the pool of candidate signs, false positives may be separated out using shape classification to identify actual road signs.

Abstract translation: 可以使用相机或其他图像捕获装置实时地检测物体，例如路标。 当通过相机接收图像时，首先检测候选标志。 候选符号的检测采用恒定时间归一化互相关，包括中间图像和整体图像的生成，以及在整体图像上应用同心不同大小的形状的模板。 从候选人标志池中，可以使用形状分类来分离假阳性，以识别实际路标。

公开(公告)号：US08847951B1

公开(公告)日：2014-09-30

申请号：US14055242

申请日：2013-10-16

Applicant: Google Inc.

Inventor： Dragomir Anguelov ,  Abhijit S. Ogale ,  Ehud Rivlin ,  Jay Yagnik

IPC: G06T15/00 ,  G09G5/377

CPC classification number: G09G5/377 ,  G06F3/1462 ,  G09G2340/12 ,  G09G2340/14 ,  G09G2354/00 ,  G09G2370/022 ,  G09G2380/00

Abstract: Methods and systems permit automatic matching of videos with images from dense image-based geographic information systems. In some embodiments, video data including image frames is accessed. The video data may be segmented to determine a first image frame of a segment of the video data. Data representing information from the first image frame may be automatically compared with data representing information from a plurality of image frames of an image-based geographic information data system. Such a comparison may, for example, involve a search for a best match between geometric features, histograms, color data, texture data, etc. of the compared images. Based on the automatic comparing, an association between the video and one or more images of the image-based geographic information data system may be generated. The association may represent a geographic correlation between selected images of the system and the video data.

Abstract translation: 方法和系统允许视频与来自基于图像的地理信息系统的图像自动匹配。 在一些实施例中，访问包括图像帧的视频数据。 视频数据可以被分割以确定视频数据的片段的第一图像帧。 表示来自第一图像帧的信息的数据可以与表示来自基于图像的地理信息数据系统的多个图像帧的信息的数据自动进行比较。 这样的比较可以例如涉及搜索比较图像的几何特征，直方图，颜色数据，纹理数据等之间的最佳匹配。 基于自动比较，可以生成视频与基于图像的地理信息数据系统的一个或多个图像之间的关联。 该关联可以表示系统的所选图像与视频数据之间的地理相关性。