Cargando…
Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective
Group target tracking (GTT) is a promising approach for countering unmanned aerial vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may limit GTTs performance. To enhance GTT performance for UAV swarms, this paper proposes potential solutions. An automatic measureme...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181790/ https://www.ncbi.nlm.nih.gov/pubmed/37177669 http://dx.doi.org/10.3390/s23094465 |
_version_ | 1785041658734182400 |
---|---|
author | Chen, Yudi Jiao, Yiwen Wu, Min Ma, Hongbin Lu, Zhiwei |
author_facet | Chen, Yudi Jiao, Yiwen Wu, Min Ma, Hongbin Lu, Zhiwei |
author_sort | Chen, Yudi |
collection | PubMed |
description | Group target tracking (GTT) is a promising approach for countering unmanned aerial vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may limit GTTs performance. To enhance GTT performance for UAV swarms, this paper proposes potential solutions. An automatic measurement partitioning method based on ordering points to identify the clustering structure (OPTICS) is suggested to handle non-uniform measurements with arbitrary contour distribution. Maneuver modeling of UAV swarms using deep learning methods is proposed to improve centroid tracking precision. Furthermore, the group’s three-dimensional (3D) shape can be estimated more accurately by applying key point extraction and preset geometric models. Finally, optimized criteria are proposed to improve the spawning or combination of tracking groups. In the future, the proposed solutions will undergo rigorous derivations and be evaluated under harsh simulation conditions to assess their effectiveness. |
format | Online Article Text |
id | pubmed-10181790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101817902023-05-13 Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective Chen, Yudi Jiao, Yiwen Wu, Min Ma, Hongbin Lu, Zhiwei Sensors (Basel) Perspective Group target tracking (GTT) is a promising approach for countering unmanned aerial vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may limit GTTs performance. To enhance GTT performance for UAV swarms, this paper proposes potential solutions. An automatic measurement partitioning method based on ordering points to identify the clustering structure (OPTICS) is suggested to handle non-uniform measurements with arbitrary contour distribution. Maneuver modeling of UAV swarms using deep learning methods is proposed to improve centroid tracking precision. Furthermore, the group’s three-dimensional (3D) shape can be estimated more accurately by applying key point extraction and preset geometric models. Finally, optimized criteria are proposed to improve the spawning or combination of tracking groups. In the future, the proposed solutions will undergo rigorous derivations and be evaluated under harsh simulation conditions to assess their effectiveness. MDPI 2023-05-04 /pmc/articles/PMC10181790/ /pubmed/37177669 http://dx.doi.org/10.3390/s23094465 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Chen, Yudi Jiao, Yiwen Wu, Min Ma, Hongbin Lu, Zhiwei Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title | Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title_full | Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title_fullStr | Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title_full_unstemmed | Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title_short | Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective |
title_sort | group target tracking for highly maneuverable unmanned aerial vehicles swarms: a perspective |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181790/ https://www.ncbi.nlm.nih.gov/pubmed/37177669 http://dx.doi.org/10.3390/s23094465 |
work_keys_str_mv | AT chenyudi grouptargettrackingforhighlymaneuverableunmannedaerialvehiclesswarmsaperspective AT jiaoyiwen grouptargettrackingforhighlymaneuverableunmannedaerialvehiclesswarmsaperspective AT wumin grouptargettrackingforhighlymaneuverableunmannedaerialvehiclesswarmsaperspective AT mahongbin grouptargettrackingforhighlymaneuverableunmannedaerialvehiclesswarmsaperspective AT luzhiwei grouptargettrackingforhighlymaneuverableunmannedaerialvehiclesswarmsaperspective |