A neural network approach for AGV localization using trilateration

This paper describes radio frequency (RF) localization for indoors quasi-structured environments using an artificial neural network (ANN) approach. Making use of available communications sub-system based on wireless protocols, received signal strength indication (RSSI) can become a measurement that sources ANN schemes which emulate trilateration for indoors RF localization. Some ANN learning results are presented which give encouraging insights for going on applying ANN approach to automated guided vehicles (AGVs) indoors localization.