GPS and Discrete Kalman Filter for Indoor Robot Navigation
This paper discusses the implementation of the Kalman
Filter along with the Global Positioning System (GPS) for indoor
robot navigation. Two dimensional coordinates is used for the map
building, and refers to the global coordinate which is attached to the
reference landmark for position and direction information the robot
gets. The Discrete Kalman Filter is used to estimate the robot position,
project the estimated current state ahead in time through time update
and adjust the projected estimated state by an actual measurement at
that time via the measurement update. The navigation test has been
performed and has been found to be robust.
[1] M. Hentschel andB. Wagner. ÔÇ│ Autonomus Robot Navigation Based on
AopenStreetMap GeodataÔÇ│. Proceedings of the e 13 th Intelligent IEEE
Conference on Intelligent System, pp: 1645-1650, DOI:
10.1109/ITSC.2010.5625022, 2010.
[2] M. Hentschel, O. Wulf and B.Wagner. ÔÇ│ A GPS and Laser-based
Localization for Urban and Non-Urban Outdoor EnvironmentsÔÇ│.
IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS), pp: 149-154, Nive, France, 2008.
[3] P.Cao, M. Saxena, M. Tedder, S.Michalske and E.L.Hall. ÔÇ│An
Application of GPS Systems on a Mobile RobotÔÇ│.
http://www.min.uc.edu/robotics/papers/paper2001/Peter2001e.pdf.
[4] N. Kyriakoulis, A.Gasteratos and A.Amanatiadis. ÔÇ│Comparison of Data
Techniques for robot NavigationÔÇ│. Proceedings of the 4th Hellenic
International on Advanced in Artificial Intelligence, pp: 547-550, 2006.
[5] H. Niwa, K. Kogdaka, Y.Skamoto and S. Shigeki. ÔÇ│Indoor GPS Receiver
for Mobile RobotÔÇ│. Proceedings of the KSAE Fall Conference, Branch
of. Busan-Ulsan Gyeongnam, pp:.95-102, 2003.
[6] D.Kim, K.Hwang, D.Lee and T.kue. ÔÇ│A Simple Ultrasonic GPS System
for Indoor Robot System using Kalman FilterÔÇ│.Proceesings of the
International joint Conference SICE-ICASE, pp: 2915-2918,DOI:
10.1109/SICE.2006.314996
[7] Z. Mbaitiga. ÔÇ│Sensor Fusion Based Discrete Kalman Filter for outdoor
Robot NavigationÔÇ│.International Conference on Control, Automation and
robotics(ICCAR-11), Paris, France, August 24-26,2011.
[8] Z. Mbaitiga. ÔÇ│Adaptive Fuzzy Knowledge Based Controller for
Autonomous Robot Motion ControlÔÇ│. Journal of Computer Science
Vol.6, Issue10, pp: 1048-1055, 2010, Science Publications, New York,
USA.
[1] M. Hentschel andB. Wagner. ÔÇ│ Autonomus Robot Navigation Based on
AopenStreetMap GeodataÔÇ│. Proceedings of the e 13 th Intelligent IEEE
Conference on Intelligent System, pp: 1645-1650, DOI:
10.1109/ITSC.2010.5625022, 2010.
[2] M. Hentschel, O. Wulf and B.Wagner. ÔÇ│ A GPS and Laser-based
Localization for Urban and Non-Urban Outdoor EnvironmentsÔÇ│.
IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS), pp: 149-154, Nive, France, 2008.
[3] P.Cao, M. Saxena, M. Tedder, S.Michalske and E.L.Hall. ÔÇ│An
Application of GPS Systems on a Mobile RobotÔÇ│.
http://www.min.uc.edu/robotics/papers/paper2001/Peter2001e.pdf.
[4] N. Kyriakoulis, A.Gasteratos and A.Amanatiadis. ÔÇ│Comparison of Data
Techniques for robot NavigationÔÇ│. Proceedings of the 4th Hellenic
International on Advanced in Artificial Intelligence, pp: 547-550, 2006.
[5] H. Niwa, K. Kogdaka, Y.Skamoto and S. Shigeki. ÔÇ│Indoor GPS Receiver
for Mobile RobotÔÇ│. Proceedings of the KSAE Fall Conference, Branch
of. Busan-Ulsan Gyeongnam, pp:.95-102, 2003.
[6] D.Kim, K.Hwang, D.Lee and T.kue. ÔÇ│A Simple Ultrasonic GPS System
for Indoor Robot System using Kalman FilterÔÇ│.Proceesings of the
International joint Conference SICE-ICASE, pp: 2915-2918,DOI:
10.1109/SICE.2006.314996
[7] Z. Mbaitiga. ÔÇ│Sensor Fusion Based Discrete Kalman Filter for outdoor
Robot NavigationÔÇ│.International Conference on Control, Automation and
robotics(ICCAR-11), Paris, France, August 24-26,2011.
[8] Z. Mbaitiga. ÔÇ│Adaptive Fuzzy Knowledge Based Controller for
Autonomous Robot Motion ControlÔÇ│. Journal of Computer Science
Vol.6, Issue10, pp: 1048-1055, 2010, Science Publications, New York,
USA.
@article{"International Journal of Electrical, Electronic and Communication Sciences:62765", author = "Mbaitiga Zacharie", title = "GPS and Discrete Kalman Filter for Indoor Robot Navigation", abstract = "This paper discusses the implementation of the Kalman
Filter along with the Global Positioning System (GPS) for indoor
robot navigation. Two dimensional coordinates is used for the map
building, and refers to the global coordinate which is attached to the
reference landmark for position and direction information the robot
gets. The Discrete Kalman Filter is used to estimate the robot position,
project the estimated current state ahead in time through time update
and adjust the projected estimated state by an actual measurement at
that time via the measurement update. The navigation test has been
performed and has been found to be robust.", keywords = "Global positioning System, kalman filter, robot
navigation.", volume = "5", number = "12", pages = "1898-7", }