4.6 Article

Multitarget Tracking With Multiple Models and Visibility: Derivation and Verification on Maritime Radar Data

期刊

IEEE JOURNAL OF OCEANIC ENGINEERING
卷 46, 期 4, 页码 1272-1287

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JOE.2021.3081174

关键词

Sea measurements; Radar tracking; Target tracking; Indexes; Standards; Probability density function; Probabilistic logic; Data association; joint integrated probabilistic data association (JIPDA); mobile robotics; multiple models; Poisson multi-Bernoulli mixture (PMBM); radar tracking

资金

  1. Research Council of Norway [223254, 295033]
  2. DNV
  3. Kongsberg
  4. Maritime Robotics

向作者/读者索取更多资源

This article presents a new filtering method and tests it on radar data sets recorded during maritime collision-avoidance experiments.
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.

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