Apr 7, 2023 · A two-level track association framework for the distributed sensor network based on the Hungarian matching algorithm is proposed utilizing spectrum features.

In this paper, we model the data association in VSN as an inference problem on dynamic Bayesian networks (DBN) and investigate the key problems for efficient ...

The simulation results show that the proposed fuzzy track-to-track association algorithm can determine targets' tracks accurately, has better performance in ...

In this paper, we propose a new algorithm for distributed multi-target tracking in a sensor network. The algorithm is based on the seminal idea of simultaneous ...

Abstract. This paper proposes a distributed estimation and control algorithm to allow a team of robots to search for and track an unknown number of targets.

This paper studies the effect of endowing the social parameter, autonomy, on a distributed sensor network. The sensor network is used for surveillance of ...

The data association trees of different tracking systems are usually quite similar in structure. The construction of trauk association trees.

Jul 13, 2022 · This paper proposes a novel track-to-track association methodology able to detect and catalogue resident space objects (RSOs) from associations of uncorrelated ...

tributed Sensor Networks) version of the new. IPDAF algorithm. Simulation results of this new DSN/IPDAF algorithm for tracking a sin- gle occasionally ...

The multiple hypothesis tracking (MHT) algorithm enumerates all feasible measurement-to-track association hypotheses within a certain “time depth,” evaluates ...