Title :
A global self-localization technique utilizing local anomalies of the ambient magnetic field
Author :
Haverinen, Janne ; Kemppainen, Anssi
Author_Institution :
Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu, Finland
Abstract :
Magnetic field fluctuations in modern buildings arise from both natural and man-made sources, such as steel and reinforced concrete structures, electric power systems, electric and electronic appliances, and industrial devices. If the anomalies of the magnetic field inside the building are nearly static and they have sufficient local variability, they provide a unique magnetic fingerprint that can be utilized in global self-localization. In this article, a Monte Carlo localization (MCL) technique based on this hypothesis is proposed. The feasibility of the technique is demonstrated by presenting a series of global localization experiments conducted in four arbitrarily selected buildings, including a hospital. The experiment setup consists of a mobile robot instrumented with a 3-axis magnetometer and a computer. In addition, successful human self-localization experiments were conducted by using a wireless wearable magnetometer. The reported experiments suggest that the ambient magnetic field may remain sufficiently stable for longer periods of time, giving support for self-localization techniques utilizing the local deviations of the field.
Keywords :
Monte Carlo methods; magnetic fields; magnetometers; mobile robots; 3-axis magnetometer; Monte Carlo localization technique; ambient magnetic field; electric appliances; electric power systems; electronic appliances; global self-localization technique; industrial devices; local anomalies; magnetic field fluctuations; magnetic fingerprint; mobile robot; reinforced concrete structures; wireless wearable magnetometer; Buildings; Cement industry; Concrete; Electronics industry; Fluctuations; Home appliances; Industrial electronics; Magnetic fields; Magnetometers; Steel;
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2009.5152885