Search Results for author: Marco Fontana

Found 1 papers, 0 papers with code

Data-driven clustering and Bernoulli merging for the Poisson multi-Bernoulli mixture filter

no code implementations27 May 2022 Marco Fontana, Ángel F. García-Fernández, Simon Maskell

This paper proposes a clustering and merging approach for the Poisson multi-Bernoulli mixture (PMBM) filter to lower its computational complexity and make it suitable for multiple target tracking with a high number of targets.

Clustering

Cannot find the paper you are looking for? You can Submit a new open access paper.