| 发明名称 |
USING HISTORICAL DATA TO CORRECT GPS DATA IN A NETWORK OF MOVING THINGS |
| 摘要 |
A system comprises model generation circuitry operable to process positioning data from a plurality of positioning system receivers of a network of vehicles to generate one or more statistical models of the positions of the vehicles, wherein the positioning data is received via a plurality of mobile access points of the network of vehicles. The system also comprises positioning circuitry operable to receive a reading from a particular one of the plurality of positioning system receivers, and compensate the reading from the particular one of the plurality of positioning system receivers based on the one or more statistical models to determine a most-probable location of the particular one of the plurality of positioning system receivers. |
| 申请公布号 |
US2017115403(A1) |
申请公布日期 |
2017.04.27 |
| 申请号 |
US201615169876 |
申请日期 |
2016.06.01 |
| 申请人 |
Veniam, Inc. |
发明人 |
Moura Daniel;Russel Roy |
| 分类号 |
G01S19/40;G06F17/50;G06F17/18;G01S19/45 |
主分类号 |
G01S19/40 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A system comprising:
model generation circuitry operable to process positioning data from a plurality of positioning system receivers of a network of vehicles to generate one or more statistical models of the positions of the vehicles, wherein the positioning data is received via a plurality of mobile access points of the network of vehicles; and positioning circuitry operable to:
receive a reading from a particular one of the plurality of positioning system receivers; andcompensate the reading from the particular one of the plurality of positioning system receivers based on the one or more statistical models to determine a most-probable location of the particular one of the plurality of positioning system receivers. |
| 地址 |
Mountain View CA US |
