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• W2952695864 abstract "The Random Hypersurface Model (RHM) is introduced that allows for estimating a shape approximation of an extended object in addition to its kinematic state. An RHM represents the spatial extent by means of randomly scaled versions of the shape boundary. In doing so, the shape parameters and the measurements are related via a measurement equation that serves as the basis for a Gaussian state estimator. Specific estimators are derived for elliptic and star-convex shapes." @default.
• W2952695864 created "2019-06-27" @default.
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• W2952695864 date "2013-04-18" @default.
• W2952695864 modified "2023-09-27" @default.
• W2952695864 title "Extended Object Tracking with Random Hypersurface Models" @default.
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