Abstract
This is a technical report on an outdoor navigation for autonomous mobile robot based on DGPS and odometry positioning data. The robot position is estimated by fusion of DGPS and odometry. However, DGPS measurement data suffer from multi-path or other effects near high building and high trees. Thus, it is necessary to pick up only reliable and accurate DGPS measurement data when the robot position is corrected by data fusion of DGPS and odometry. In this paper, the authors propose a selection method of erroneous DGPS measurement data and a rule of data fusion for robot position correction. Finally, the authors equip a mobile robot with the proposed correction method and the robot autonomously navigates in a campus walkway.
This work was partly supported by JSPS Grant-in-Aid for Scientific Research 13560130.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ohno, K., Tsubouchi, T., Shigematsu, B., Maeyama, S., Yuta, S. (2006). Mobile Robot Navigation Based on DGPS and Odometry in Campus Environment. In: Yuta, S., Asama, H., Prassler, E., Tsubouchi, T., Thrun, S. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10991459_13
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DOI: https://doi.org/10.1007/10991459_13
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32801-8
Online ISBN: 978-3-540-32854-4
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