发明名称 |
Vehicular GPS/DR navigation with environmental-adaptive kalman filter gain |
摘要 |
A method is provided for estimating position using an integrated Global Navigation Satellite System (GNSS)/dead reckoning (DR) (GNSS/DR) navigation system in a vehicle. The method includes: determining a current environment of the vehicle from a plurality of environments based on at least one parameter; calculating a Kalman filter-related parameter based on the determined current environment, wherein the Kalman filter-related parameter corresponds to a representation of weight given to GNSS navigation and DR navigation relative to one another; and estimating a position of the vehicle based on the calculated Kalman filter-related parameter utilizing a Kalman filter. |
申请公布号 |
US9366764(B2) |
申请公布日期 |
2016.06.14 |
申请号 |
US201314082764 |
申请日期 |
2013.11.18 |
申请人 |
GENERAL MOTORS LLC |
发明人 |
Sun Debo;Hay Curtis L. |
分类号 |
G05D1/02;G06F17/10;G06G7/78;G01S19/49;G01C21/16;G01S19/48;G01C21/12;G01C21/28 |
主分类号 |
G05D1/02 |
代理机构 |
Leydig, Voit & Mayer, Ltd. |
代理人 |
Leydig, Voit & Mayer, Ltd. |
主权项 |
1. A method for estimating position using an integrated Global Navigation Satellite System (GNSS)/dead reckoning (DR) (GNSS/DR) navigation system in a telematics-equipped vehicle, the method comprising:
determining, by a processor of the vehicle, a current environment of the vehicle from a plurality of environments based on at least one parameter, wherein each of the plurality of environments corresponds to a different weight being given to GNSS navigation and DR navigation relative to one another; calculating, by the processor, a Kalman filter-related parameter, wherein calculating the Kalman filter-related parameter includes applying an adjustment to the weight given to GNSS navigation and DR navigation relative to one another based on the determined current environment; and estimating, by the processor, a position of the vehicle, based on the calculated Kalman filter-related parameter, utilizing a Kalman filter; wherein the Kalman filter-parameter is an environment-based Kalman filter gain corresponding to the Kalman filter; and wherein the calculating comprises:
determining a base Kalman filter gain;adjusting the base Kalman filter gain based on the determined current environment so as to obtain the environment-based Kalman filter gain. |
地址 |
Detroit MI US |