Data processing: vehicles – navigation – and relative location – Vehicle control – guidance – operation – or indication
Reexamination Certificate
2007-02-20
2007-02-20
Beaulieu, Y. (Department: 3661)
Data processing: vehicles, navigation, and relative location
Vehicle control, guidance, operation, or indication
C701S101000, C701S103000, C073S001160
Reexamination Certificate
active
10972943
ABSTRACT:
A computerized method generates unbiased estimates of parameters such as position, velocity, and acceleration of a vehicle. The method assigns initial vehicle states. Unbiased vehicle state estimates are obtained using a model incorporating a unique parameterization of the vehicle motion and state dynamics, and sensor registration bias states. Sensor measurements of the vehicle are used to iteratively update the vehicle states and covariances. Previous vehicle state and covariance, are propagated to produce current state and covariance estimates. If needed, a new vehicle model is adopted. Sensor registration biases are estimated to generate corrected measurement information. A measurement matrix and a measurement residual is determined. The Kalman gain matrix is determined, and used with measurement residual for state update. A new current state is generated. State covariance update is determined the same way, and used to generate a new current state covariance. These steps are repeated, producing unbiased vehicle parameter estimates.
REFERENCES:
patent: 5960097 (1999-09-01), Pfeiffer et al.
patent: 2005/0114023 (2005-05-01), Williamson et al.
patent: 2006/0074558 (2006-04-01), Williamson et al.
Boka Jeffrey B.
Mavroudakis Peter J.
Patel Naresh R.
Beaulieu Y.
Duane Morris LLP
LandOfFree
Computerized method for generating low-bias estimates of... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Computerized method for generating low-bias estimates of..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computerized method for generating low-bias estimates of... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3863745