A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using
multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state …

Multi-object tracking (MOT) refers to the process of estimating object trajectories of interest
based on sequences of noisy sensor measurements obtained from multiple sources …

Due to the limitation of sensor resolution, multiple target locations in close proximity can
result in merged measurements, which makes it difficult for traditional measurement …

In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective
multi-target state estimation. In this paper, we propose an online multi-target filter that can …

This work proposes a robust tracker based on the Poisson Multi Bernoulli Mixture (PMBM)
filter for multistatic sonar networks (MSNs) systems. The PMBM based trackers estimate the …

This paper proposes a robust Poisson multi-Bernoulli mixture (PMBM) filter with inaccurate
process and measurement noise covariances. A derivation of the robust PMBM filter is …