A study of the maximum likelihood registration (MLR) algorithm for spatial alignment of multiple, possibly dissimilar (active or passive) sensors is presented. The MLR algorithm is a batch algorithm which outputs estimates of the registration parameters, registered sensor measurements and registered target location estimates, expressed in a common coordinate system. The Cramer-Rao type bound for registration of multiple dissimilar sensors is discussed and some numerical examples for sensor registration are presented in support of the theory.
Maximum likelihood registration for multiple dissimilar sensors
IEEE Transactions on Aerospace and Electronic Systems ; 39 , 3 ; 1074-1083
2003-07-01
396199 byte
Article (Journal)
Electronic Resource
English
CORRESPONDENCE - Maximum Likelihood Registration for Multiple Dissimilar Sensors
Online Contents | 2003
|Simultaneous Registration and Fusion of Multiple Dissimilar Sensors for Cooperative Driving
Online Contents | 2004
|