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The Design of a Self-Localization Estimation Method for Indoor Mobile Robots using an Improved SURF Algorithm

Authors:
Xing Xiong
Byung-Jae Choi

Keywords: Ceiling Key Point Extraction; SURF (Speeded-Up Robust Features); DSP (Digital Signal Processor).

Abstract:
We present an improved self-localization estimation algorithm in this paper. The algorithm uses a modified SURF method to extract the interest points, using it to extract the orientation and a descriptor of the interest point in order to lessen the computation time. A robot using this method can estimate its indoor self-localization according to matched interest points. A number of intermediate results will also be discussed. The intermediate results show that the displacement method could correctly match the interest points in two images.

Pages: 31 to 34

Copyright: Copyright (c) IARIA, 2012

Publication date: April 29, 2012

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-224-0

Location: Chamonix, France

Dates: from April 29, 2012 to May 4, 2012