The Adaptive Labeled Multi-Bernoulli Filter
Systems and Control
2018-12-24 v1
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.
Cite
@article{arxiv.1812.08790,
title = {The Adaptive Labeled Multi-Bernoulli Filter},
author = {Andreas Danzer and Stephan Reuter and Klaus Dietmayer},
journal= {arXiv preprint arXiv:1812.08790},
year = {2018}
}