Abstract—This work introduces an indoor localization system
for mobile robots using Time-of-Flight measurements between an
ultrasound signal emitter mounted on the robot and ultrasonic
sensors (anchors) mounted over the workspace of the robot. In
the first part of the study a calibration method was proposed
for Time-of-Flight measurement based localization systems. The
influence of the anchor’s position on localization performance
was analyzed to show the necessity of precise calibration. The
calibration procedure was formulated as an optimization problem
and its efficiency was showed through real measurements. In
the second part of the study an Extended Kalman Filter based
predict - update type estimator was proposed to increase the measurement
rate of the localization system. For the state estimator
an omnidirectional robot model was developed which inputs are
provided by an Inertial Measurement Unit. Experimental results
using a KUKA youBot mobile robotic platform are also presented
to show the applicability of the proposed indoor localization
method.
Index Terms—Robot sensing systems, Calibration, Motion
estimation, Wireless sensor network