This paper proposes an efficient implementation of the multi-sensor generalized labeled
multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation …

We propose a general sensor selection (SS) methodology for ocean-of-things (OoT) where a
sensing network performs multiobject tracking (MOT) under resource constraints. SS …

We consider the problem of online path planning for joint detection and tracking of multiple
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …

A constrained sensor control method is presented for multiobject tracking using labeled multi-
Bernoulli filters. The proposed framework is based on a novel approximation of the Cauchy …

This paper presents a novel method for track-to-track fusion to integrate multiple-view sensor
data in a centralized sensor network. The proposed method overcomes the drawbacks of the …

This paper proposes a novel multi-sensor control scheme for tracking of targets of interest in
the presence of clutter and detection uncertainty, using labeled multi-Bernoulli filters. The …

In this paper, we address the problem of resolvable group target tracking (RGTT) and the
application of RGTT in the sensor control scenarios. The aim of our approach is to further …

To track multiple maneuvering targets hidden in the Doppler blind zone (DBZ), we have
proposed an MM-GLMB-DBZ tracker based on the latest multiple model generalized labeled …

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 …

Sensor management is a crucial research subject for multi-sensor multi-target tracking in
wireless sensor networks (WSNs) with limited resources. Bearings-only tracking produces …