Range Identification in the Presence of Unknown Motion Parameters for Perspective Vision Systems

This paper presents a nonlinear observer for the range identification problem for a moving object, whose motion is described by a known linear system with unknown coefficients. Convergent estimates of the unknown motion parameters can be guaranteed under certain observability conditions.

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