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arXiv · 1812.08790

The Adaptive Labeled Multi-Bernoulli Filter

Andreas Danzer·Stephan Reuter·Klaus Dietmayer
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Abstract

This paper proposes a new multi-Bernoulli filter called the Adaptive Labeled Multi-Bernoulli filter. It combines the relative strengths of the known Delta-Generalized Labeled Multi-Bernoulli and the Labeled Multi-Bernoulli filter. The proposed filter provides a more precise target tracking in critical situations, where the Labeled Multi-Bernoulli filter looses information through the approximation error in the update step. In noncritical situations it inherits the advantage of the Labeled Multi-Bernoulli filter to reduce the computational complexity by using the LMB approximation.

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Andreas Danzer, Stephan Reuter, Klaus Dietmayer. 2018-12-20. The Adaptive Labeled Multi-Bernoulli Filter. https://arxiv.org/abs/1812.08790

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