Estimating Robot Localization Error Using Visual Marker Pose Estimation

Sean Scheideman
2019
This thesis proposes a method to estimate robot localization error without having a ground-truth measurement of robot position. Robot localization refers to estimating a robot position and orientation (pose) within a known map, where the error is the difference between the robot's ground-truth pose and the algorithms estimated pose. Ground-truth measurement systems (eg.
doi:10.7939/r3-z6b3-v602 fatcat:afy6q5dk3vhjzhqk4pswazyfmy