Title :
EKF localization with variable covariance for LRS and odometry: Experimental verification
Author :
Hiromachi, Yutaro ; Nonaka, Koji ; Sekiguchi, Kazuma
Author_Institution :
Fac. of Eng., Tokyo City Univ., Tokyo, Japan
Abstract :
In our previous report on an integrated localization using laser range scanners (LRS) and odometry, a variable covariance depending on the number of data, predicted incident angle, and predicted distance of LRS is introduced to EKF to deal with their effects on the localization. In the present paper, this method is applied to a front steering vehicle navigated by the LRS localization and odometry data. Its experimental results show that the proposed method localize the vehicle position and the outlier of LRS data is properly vanished.
Keywords :
Kalman filters; distance measurement; mobile robots; nonlinear filters; optical scanners; EKF localization; LRS localization; autonomous vehicles; extended Kalman filter; front steering vehicle; laser range scanners; odometry data; variable covariance; vehicle position; Accuracy; Measurement by laser beam; Position measurement; Robustness; Vehicles; Velocity measurement;
Conference_Titel :
Advanced Motion Control (AMC),2014 IEEE 13th International Workshop on
Conference_Location :
Yokohama
DOI :
10.1109/AMC.2014.6823287