Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation
Abstract Distributed multi‐sensor fusion based on the generalised covariance intersection (GCI) fusion has been widely integrated into the Random Finite Set theory, which is promising for multi‐target tracking with an unknown number of targets. However, it has not been widely investigated in the mul...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12374 |
| _version_ | 1797822537728524288 |
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| author | Jinlong Yang Mengfan Xu Jianjun Liu Fangdi Li |
| author_facet | Jinlong Yang Mengfan Xu Jianjun Liu Fangdi Li |
| author_sort | Jinlong Yang |
| collection | DOAJ |
| description | Abstract Distributed multi‐sensor fusion based on the generalised covariance intersection (GCI) fusion has been widely integrated into the Random Finite Set theory, which is promising for multi‐target tracking with an unknown number of targets. However, it has not been widely investigated in the multiple extend target tracking (METT) field, and there is still an open problem on how to solve the inconsistency of label space among the sensors. For these problems, we first introduce the GCI fusion into the METT and proposed an association algorithm by considering the estimated shapes and the target positions to avoid the phenomenon of the label inconsistency as well as to reduce the computational burden. Simulation results show that the proposed algorithm has a better tracking performance than the traditional METT algorithms. |
| first_indexed | 2024-03-13T10:10:34Z |
| format | Article |
| id | doaj.art-75b2723799e34e97b2c28e41f345b391 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-03-13T10:10:34Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-75b2723799e34e97b2c28e41f345b3912023-05-22T04:11:24ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922023-05-0117573374710.1049/rsn2.12374Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimationJinlong Yang0Mengfan Xu1Jianjun Liu2Fangdi Li3School of Artificial Intelligence and Computer Science Jiangnan University Wuxi ChinaSchool of Artificial Intelligence and Computer Science Jiangnan University Wuxi ChinaSchool of Artificial Intelligence and Computer Science Jiangnan University Wuxi ChinaSchool of Artificial Intelligence and Computer Science Jiangnan University Wuxi ChinaAbstract Distributed multi‐sensor fusion based on the generalised covariance intersection (GCI) fusion has been widely integrated into the Random Finite Set theory, which is promising for multi‐target tracking with an unknown number of targets. However, it has not been widely investigated in the multiple extend target tracking (METT) field, and there is still an open problem on how to solve the inconsistency of label space among the sensors. For these problems, we first introduce the GCI fusion into the METT and proposed an association algorithm by considering the estimated shapes and the target positions to avoid the phenomenon of the label inconsistency as well as to reduce the computational burden. Simulation results show that the proposed algorithm has a better tracking performance than the traditional METT algorithms.https://doi.org/10.1049/rsn2.12374adaptive filtersmulti‐target trackingsensor fusionsignal processing |
| spellingShingle | Jinlong Yang Mengfan Xu Jianjun Liu Fangdi Li Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation IET Radar, Sonar & Navigation adaptive filters multi‐target tracking sensor fusion signal processing |
| title | Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation |
| title_full | Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation |
| title_fullStr | Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation |
| title_full_unstemmed | Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation |
| title_short | Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation |
| title_sort | multiple extended target tracking based on distributed multi sensor fusion and shape estimation |
| topic | adaptive filters multi‐target tracking sensor fusion signal processing |
| url | https://doi.org/10.1049/rsn2.12374 |
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