To reduce the error of automated guided vehicle（AGV）localization

the reasons which causes error in the positioning process is analyzed and the methods of optimization are presented.Different optimization methods are adopted

such as constructing compensation function

random sampling consistency（RANSAC）algorithm

are used

aiming at problems exited in calibration of the localization system

localization in motion and identification of landmarks.Mean square error method is adopted to judge accuracy of localization results.The experimental results show that the optimization methods improves the reliability and the precision of localization system.