This paper presents a deep-learning based framework for the bearing-only target tracking process, applicable for any bearings-only target tracking task.

Jun 29, 2021 · When tracking with synchronous passive multisensor systems, each sensor provides a line-of-sight measurement. They are plugged into an iterative ...

BOTNet: Deep Learning-Based Bearings-Only Tracking Using Multiple Passive Sensors. Shalev, Hadar; ;; Klein, Itzik. Abstract. Publication: Sensors.

Jun 4, 2021 · When tracking with synchronous passive multisensor systems, each sensor provides a line-of-sight measurement. They are plugged into an iterative ...

Jun 29, 2021 · This paper presents a deep-learning based framework for the bearing-only target tracking process, applicable for any bearings-only target tracking task.

When tracking with synchronous passive multisensor systems, each sensor provides a line-of-sight measurement. They are plugged into an iterative least squares ...

BOTNet. Deep Learning based Bearings Only Tracking Using Multiple Passive Sensors. Implementation for Paper by: Hadar Shalev and Itzik Klein. Link to paper ...

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BOTNet: Deep Learning-Based Bearings-Only Tracking Using Multiple Passive Sensors. Sensors 2021, 21, 4457. https://doi.org/10.3390/s21134457. AMA Style.

Jun 30, 2022 · The multiple-model Interacting Multiple Model algorithm is used to solve the maneuvering target tracking problem in the presence of measurement noise.