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- W2024965593 abstract "In this paper we address the problem of tracking multiple AUVs using acoustic signals. Using For this challenging scenario, we propose to use a Probability Hypothesis Density Filter and present a suitable implementation of the Sequential Monte Carlo PHD filter. It will be demonstrated that a particle filter implementation of the aforementioned filter can be used to successfully track multiple AUVs, changing in number over time, using range measurements from the vehicles to a set of acoustic beacons. Simulation results will be presented that allow to evaluate the performance of the filter." @default.
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- W2024965593 date "2014-09-01" @default.
- W2024965593 modified "2023-09-27" @default.
- W2024965593 title "A PHD filter for tracking multiple AUVs" @default.
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- W2024965593 doi "https://doi.org/10.1109/oceans.2014.7003170" @default.
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