Resolvable Group State Estimation with Maneuver Based on Labeled RFS and Graph Theory
In this paper, multiple resolvable group target tracking was considered in the frame of random finite sets. In particular, a group target model was introduced by combining graph theory with the labeled random finite sets (RFS). This accounted for dependence between group members. Simulations were pr...
Main Authors: | Weifeng Liu, Yudong Chi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/19/6/1307 |
Similar Items
-
A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter
by: Xinfeng Ru, et al.
Published: (2020-06-01) -
Parameter estimation and tracking algorithm for resolvable group targets based on GLMB filter and RLS algorithm
by: Weifeng Liu, et al.
Published: (2022-11-01) -
Multi-sensor tracking with partly overlapping FoV using detection field of probability modeling and the GLMB filter
by: Weifeng Liu, et al.
Published: (2023-01-01) -
On-Line Visual Tracking with Occlusion Handling
by: Tharindu Rathnayake, et al.
Published: (2020-02-01) -
A Study of Independency on Fuzzy Resolving Sets of Labelling Graphs
by: Ramachandramoorthi Shanmugapriya, et al.
Published: (2023-08-01)