-
公开(公告)号：US20230392929A1
公开(公告)日：2023-12-07
申请号：US17018846
申请日：2020-09-11
Applicant: Raytheon Company
Inventor： Taehwan Kim , Kenneth L. Moore , James T. Landon , Jarrett M. Perry , Benjamin J. Graham
CPC classification number: G05D1/0088 , G05D1/0077 , G05D1/101
Abstract: Systems and methods for detecting degraded navigation sensors are based on a policy derived from a Partially Observable Markoff Decision Process (POMDP). Navigation parameters derived from the navigation sensors are provided to individual Kalman filters. A covariance of each of the filters is indicative of a probability of degradation of a sensor from which the navigation parameter is derived. Outputs of the Kalman filters are provided to a master filter. The master filter is compared to a criterion to determine whether there are indicia of a degraded sensor. If such an indicia are present, the Policy is consulted to determine which of the sensors are degraded. Consideration of degraded sensors when navigating a vehicle is inhibited.
-
公开(公告)号：US11879736B2
公开(公告)日：2024-01-23
申请号：US17018846
申请日：2020-09-11
Applicant: Raytheon Company
Inventor： Taehwan Kim , Kenneth L Moore , James T. Landon , Jarrett M. Perry , Benjamin J. Graham
IPC: G01C21/00
CPC classification number: G01C21/005
Abstract: Systems and methods for detecting degraded navigation sensors are based on a policy derived from a Partially Observable Markoff Decision Process (POMDP). Navigation parameters derived from the navigation sensors are provided to individual Kalman filters. A covariance of each of the filters is indicative of a probability of degradation of a sensor from which the navigation parameter is derived. Outputs of the Kalman filters are provided to a master filter. The master filter is compared to a criterion to determine whether there are indicia of a degraded sensor. If such an indicia are present, the Policy is consulted to determine which of the sensors are degraded. Consideration of degraded sensors when navigating a vehicle is inhibited.
-
Search Results
2
records
(took 0.009 seconds)
