Platform pose is a key requirement for autonomous systems. The severe natural conditions and complex terrain of underground mines diminish the performance of classical localization systems. This paper proposes a pose (localization and orientation) estimator that utilizes ultrasonic and electromagnetic signals to facilitate a time-of-flight (TOF) based trilateration. This system decreases maintenance costs by utilizing a wait mode and only operational once a receiver is in the vicinity. The trilateration algorithm utilized is an Ordinary Least Square (OLS) estimator. The pose estimator has two ultrasonic receivers at a fixed separation distance. The two ultrasonic receivers each calculate its unique position. The orientation of the object is obtained from the orientation of a line segment joining the two positions on the object.
[1]
Hiroyuki Morikawa,et al.
DOLPHIN: A Practical Approach for Implementing a Fully Distributed Indoor Ultrasonic Positioning System
,
2004,
UbiComp.
[2]
Rainer Mautz,et al.
Overview of current indoor positioning systems
,
2009
.
[3]
Bodhi Priyantha,et al.
The Cricket indoor location system
,
2005
.
[4]
Hiroyuki Morikawa,et al.
DOLPHIN: an autonomous indoor positioning system in ubiquitous computing environment
,
2003,
Proceedings IEEE Workshop on Software Technologies for Future Embedded Systems. WSTFES 2003.
[5]
Willy Hereman,et al.
Statistical methods in surveying by trilateration
,
1998
.