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- W2593245765 abstract "This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. The solution exploits the GLMB joint prediction and update together with a new technique for truncating the GLMB filtering density based on Gibbs sampling. The resulting algorithm has quadratic complexity in the number of hypothesized object and linear in the number of measurements of each individual sensors." @default.
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- W2593245765 date "2017-02-28" @default.
- W2593245765 modified "2023-09-27" @default.
- W2593245765 title "Multi-Sensor Multi-object Tracking with the Generalized Labeled Multi-Bernoulli Filter" @default.
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