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A new mathematical model for mapping indoor environment


Sai'd, Yunusa Ali and Ramli, Abdul Rahman and Ahmad, Siti Anom and Toudeshki, Arash and Moshayedi, Ata Jahangir (2013) A new mathematical model for mapping indoor environment. International Journal of Advancements in Mechanical and Aeronautical Engineering, 1 (1). pp. 36-39. ISSN 2372-4153


This paper presents a mathematical model as a new approach to object mapping, the system is proscribed to indoor and applied to approach a landmark. The contribution of this paper is to propose a new mathematical model for object mapping, the landmark is captured at varying distant points, the Scale invariant Feature Transform (SIFT) to extract object options, at the side of their uncertainty, from camera sensors. The (SIFT) features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection, which is suitable for our application. As image options do not seem to be noise-free, the error analysis of the landmark positions and a preprocessing to obtained information which is incorporated into a model, using curve fitting techniques. Predictions createdby our model square measure well and correlate with experimental knowledge. This has eliminated correspondence Problem also known as a data association problem.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Institute of Research Engineers and Doctors
Keywords: Mapping; Feature extraction; Fiiting; Threshold; Clusters; Landmark; SLAM
Depositing User: Nabilah Mustapa
Date Deposited: 16 Mar 2015 03:25
Last Modified: 17 Feb 2016 01:48
URI: http://psasir.upm.edu.my/id/eprint/28731
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