| dc.contributor.author | Brekke, Edmund Førland | |
| dc.contributor.author | Hem, Audun Gullikstad | |
| dc.contributor.author | Tokle, Lars-Christian Ness | |
| dc.date.accessioned | 2022-10-05T12:00:31Z | |
| dc.date.available | 2022-10-05T12:00:31Z | |
| dc.date.created | 2021-10-29T07:39:52Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | IEEE Journal of Oceanic Engineering. 2021, 46 (4), 1272-1287. | en_US |
| dc.identifier.issn | 0364-9059 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3024059 | |
| dc.description.abstract | In this article, we demonstrate how a variation of the joint integrated probabilistic data association with interacting multiple models and a visibility state can be derived as a special case of the Poisson multi-Bernoulli mixture filter with a hybrid state representation and standard approximations. The proposed method is tested on two radar data sets that were recorded during maritime collision-avoidance experiments. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.title | Multitarget Tracking with Multiple Models and Visibility: Derivation and Verification on Maritime Radar Data | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.rights.holder | This version of the article will not be available due to copyright restrictions by IEEE | en_US |
| dc.source.pagenumber | 1272-1287 | en_US |
| dc.source.volume | 46 | en_US |
| dc.source.journal | IEEE Journal of Oceanic Engineering | en_US |
| dc.source.issue | 4 | en_US |
| dc.identifier.doi | 10.1109/JOE.2021.3081174 | |
| dc.identifier.cristin | 1949476 | |
| dc.relation.project | Norges forskningsråd: 295033 | en_US |
| dc.relation.project | Norges forskningsråd: 223254 | en_US |
| cristin.ispublished | true | |
| cristin.fulltext | original | |
| cristin.qualitycode | 1 | |
