pptx / distributed-mapping

Implementing distributed mapping algorithm through variational inference

distributed-mapping

Performing distributed mapping through a distributed Gaussian variational inference algorithm.

Dependencies

Python3 Python libraries: numpy, matplotlib, scipy, random, pandas, sys, time, pickle, networkx, bayespy

Interaction

Please run 'python dinno.py' to read data from data folder and publish results in results folder. Please run 'python banana.py' to read banana dataset from data folder and publish output to \results. The Intel dataset file is contained in /model/slam_td.py

../results/

All the resulting figures are in results folder.