Uncertainty-aware variational inference for target tracking

HIGHLIGHTS

  • who: Cui and collaborators from the (UNIVERSITY) have published the research work: Uncertainty-aware variational inference for target tracking, in the Journal: (JOURNAL)
  • what: B. Contributions This paper has the following main contributions: 1) A state prior model (SPM) and a measurement likelihood model (MLM) are proposed to cope with inaccuracies during the state and measurement predictions.

SUMMARY

    To improve the approximation accuracy, the iterated posterior linearization filter (IPLF) is proposed, which performs iterated statistical linear regression with respect to the posterior instead of the prior so that the approximation accuracy . . .

     

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