This repository contains a Python simulation of a particle filter, implemented through sequential importance resampling. The simulation code can be found in main.py
. The class Particle as well as the state-space and the observation models are implemented in particlefilter.py
. Finally, animation.py
generates a GIF animation of the filter evolution.
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Localization and tracking with sequential Monte Carlo methods, i.e. particle filtering.
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simoneroncallo/particle-filtering
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Localization and tracking with sequential Monte Carlo methods, i.e. particle filtering.