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Implementation of filters for Mobile Robot Localization

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Localization

Implementation of filters for Mobile Robot Localization

Usage

  • Install the requirements using
sudo pip install -r requirements.txt
  • Run Kalman Filter as follows
$ python main.py --filter Kalman
  • For the complete list of options, run
$ python main.py --help

Contents

Kalman Filter

Fig 1: Original path of motion

Fig 2: Comparison of motion from different view points. The filter used to smoothen the data is done by Savitzky-Golay filter by fitting a 3rd degree polynomial on a window of size 20.

Fig 3: Comparison of data distribution as a function of time of flight of motion.

Particle Filter

Fig 1 Particle filter with particles of size 10

Fig 2 Particle filter with particles of size 100

Fig 3 Particle filter with particles of size 500

To-do

  • Kalman Filter
  • Particle Filter
  • Histogram Filter
  • Benchmarking the filters

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