State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization

@article{Nassreddine2010StateEU,
  title={State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization},
  author={Ghalia Nassreddine and Fahed Abdallah and Thierry Denoeux},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2010},
  volume={40},
  pages={1205-1218}
}
A new approach to nonlinear state estimation based on belief-function theory and interval analysis is presented. This method uses belief structures composed of a finite number of axis-aligned boxes with associated masses. Such belief structures can represent partial information on model and measurement uncertainties more accurately than can the bounded-error approach alone. Focal sets are propagated in system equations using interval arithmetics and constraint-satisfaction techniques, thus… CONTINUE READING
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