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Click to download PDF version Click to download BibTeX data Clik to view abstract C. Siagian, L. Itti, Biologically inspired mobile-robot self localization, The Neuromorphic Engineer, pp. 1-2, Dec 2007. (Cited by 4)

Abstract: Using both global and local visual features, 'Beobot' can find its own position in the environment.

Themes: Model of Bottom-Up Saliency-Based Visual Attention, Scene Understanding


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