A comparison between extended kalman filtering and sequential monte carlo technique for simultaneous localisation and map-building.

Abstract

Monte Carlo Localisation has been applied to solve many di erent classes of localisation problems. In this paper, we present a possible Simultaneous Localisation and Map-building implementation using the Sequential Monte Carlo technique. Multiple particle lters are created to estimate both the robot and land- mark positions simultaneously. The proposed technique shows promising results when com- pared with those obtained with the Extended Kalman lter.