Color landmark based self-localization for indoor mobile robots

Abstract

We present a simple artificial landmark model and a robust tracking algorithm for the navigation of indoor mobile robots. The landmark model is designed to have a three-dimensional structure consisting of a multi-colored planar pattern. A stochastic algorithm based on Condensation [1] tracks the landmark model robustly using the color distribution of the pattern. A new self-localization algorithm computes the location of robot with the tracked single landmark. Experimental results show that the proposed landmark model is eflective. Through extensive navigation experiments in a cluttered indoor environment, we demonstrate the feasibility of the single view based self-localization in real-time.