PyFEBOL

A Python rewrite of FEBOL.jl by Louis Dressel. It aims to also be a general framework for simulating UAV-based localization of a single target. The user can choose from a variety of sensors, filters, and policies (or make his own). The package was created to better interface with reinforcement learning packages created in Python.

Currently provides:

• particle filter with stratified resampling
• discrete (histogram) filter
• bearing only sensor
• FOV sensor
• various cost models, incorporating entropy, covariance, distance, etc.
• a policy class that allows for creation of seeker and target policies
• a search domain for the seeker and target to live in

Also check out deep-drone-localization for an implementation of DQN that works with multiple inputs, and a gym environment that uses all the stuff from PyFEBOL.

Installation

pip install PyFEBOL