Galois Lattice Theory for Probabilistic Visual Landmarks

Zenou,Emmanuel; Samuelides,Manuel

Galois Lattice Theory for Probabilistic Visual Landmarks

Авторы

Zenou,Emmanuel

Samuelides,Manuel

Издатель

Journal of Universal Computer Science

Описание

This paper presents an original application of the Galois lattice theory, the visual landmark selection for topological localization of an autonomous mobile robot, equipped with a color camera. First, visual landmarks have to be selected in order to characterize a structural environment. Second, such landmarks have to be detected and updated for localization. These landmarks are combinations of attributes, and the selection process is done through a Galois lattice. This paper exposes the landmark selection process and focuses on probabilistic landmarks, which give the robot thorough information on how to locate itself. As a result, landmarks are no longer binary, but probabilistic. The full process of using such landmarks is described in this paper and validated through a robotics experiment.

Ключевые слова

computer vision , visual landmarks , localization , orientation , autonomous mobile robotics , Galois lattices , concept lattices , formal concept analysis.