A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update
This paper proposes a new implementation for the delta generalized labeled multi-Bernoulli (d-GLMB) filter by combining prediction and update into a single step. In contrast to the original implementation which requires different truncation procedures for each component in the prediction and update,...
| Main Authors: | Hoang, H., Vo, Ba-Ngu, Vo, Ba Tuong |
|---|---|
| Format: | Conference Paper |
| Published: |
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/35397 |
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