Environment encoding for AGV navigation using vision

Abstract

A new pose position orientation and scaling estimation recovery method for an automated guided vehicle (AGV) moving in an encoded environment using vision is presented. The environment is structured by having large surfaces on the floor permanently encoded with the elements of a pseudo-random binary array (PRBA).