Invention Grant
US08209121B1 Registration of location data to street maps using hidden markov models, and application thereof
有权
使用隐马尔可夫模型将位置数据注册到街道地图及其应用
- Patent Title: Registration of location data to street maps using hidden markov models, and application thereof
- Patent Title (中): 使用隐马尔可夫模型将位置数据注册到街道地图及其应用
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Application No.: US11870265Application Date: 2007-10-10
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Publication No.: US08209121B1Publication Date: 2012-06-26
- Inventor: Abhijit Ogale
- Applicant: Abhijit Ogale
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Sterne, Kessler, Goldstein & Fox, PLLC
- Main IPC: G01C21/12
- IPC: G01C21/12

Abstract:
The present invention provides systems and methods for improving the accuracy of location data, such as GPS data. In an embodiment, the present invention adjusts coordinates by receiving a sequence of coordinates corresponding to a plurality of locations; identifying in a map database, for each location, polyline features within a distance from the coordinates for the location; calculating emission probabilities for the polyline features; calculating transition probabilities for the polyline feature; and adjusting the coordinates for the plurality of locations so that the adjusted coordinates correspond to polyline features belonging to a sequence of polyline features selected, based on the emission probabilities and the transition probabilities, to be the most likely sequence of polyline features that correspond to the sequence of coordinates. Besides improving accuracy, embodiments of this invention enable novel geospatial applications and user interfaces by adding a large amount of meta-information to a location.
Information query
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