= PDF Reprint, = BibTeX entry, = Online Abstract
C. Siagian, L. Itti, Biologically inspired mobile-robot self localization, The Neuromorphic Engineer, pp. 1-2, Dec 2007. (Cited by 3)
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
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
This page generated by bibTOhtml on Tue 10 Jan 2023 02:30:30 PM PST