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ICRA
2003
IEEE

Mobile robot self-localization based on global visual appearance features

10 years 8 months ago
Mobile robot self-localization based on global visual appearance features
This paper presents a novel method for mobile robot localization using visual appearance features. A multidimensional-histogram is used to describe the global appearance features of an image such as colors, edge density, gradient magnitude, textures and so on. The matching of histograms determines the location of the robot. The method has been evaluated in an indoor environment, and the system correctly determines the localization of 82.9% of the input scene images.
Chao Zhou, Yucheng Wei, Tieniu Tan
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICRA
Authors Chao Zhou, Yucheng Wei, Tieniu Tan
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