The Integrated Probabilistic Data Association Filter Adapted to Lie Groups
نویسندگان
چکیده
The Integrated Probabilistic Data Association Filter (IPDAF) is a target tracking algorithm based on the that calculates statistical measure indicates if an estimated representation of properly represents or generated from non-target-originated measurements. main contribution this paper to adapt IPDAF constant velocity models evolve connected, unimodular Lie groups, and where measurements are also defined group. We present example methods developed in applied problem ground vehicle special Euclidean group SE2.
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 2023
ISSN: ['1557-9603', '0018-9251', '2371-9877']
DOI: https://doi.org/10.1109/taes.2022.3214803