A multilayered approach to location recognition

Outlined here is a framework for an autonomous mobile robot system for recognizing and mapping locations. The Scale Invariant Feature Transform is a powerful machine vision technique, but performs poorly on uniform colored or low contrast objects. We therefore set out to complement SIFT with other machine vision techniques for a robust location recognition system in order to create better fingerprints of locations.