Method for compensating for the positional errors of a sensor
作者： Jeffrey B. Boka , Purusottam Mookerjee
DOI:
关键词: Tracking (particle physics) 、 Extended kalman filter algorithm 、 Covariance 、 State-transition matrix 、 Artificial intelligence 、 Engineering 、 Computer vision 、 State (computer science) 、 Jacobian matrix and determinant 、 State vector
摘要: A method for determining or compensating the positional errors of a sensor tracking target comprises steps operating to generate sensed information relating and adding any bias update produce updated information. The state is propagated time estimates. Jacobian dynamics transition matrix extended Kalman filter algorithm are computed. covariance vector using matrix.
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