Experimental Comparison of Extended Kalman and Particle Filter in Mobile Robotic Localization

摘要

This paper presents an implementation and comparison between odometry and probabilistic algorithms for the mobile robot localization problem in indoor environments. The hardware and software tools used for the experiments are briefly described. Also, a software architecture is proposed to make easier the development of computer applications including the tested algorithms which are used to get the results to compare.