Incremental On-Line Topological Map Learning for A Visual Homing Application

Autor:	E. Motard, Bogdan Raducanu, V. Cadenat, Jordi Vitrià
Rok vydání:	2007
Předmět:	business.industry Computer science Scale-invariant feature transform Mobile robot Simultaneous localization and mapping Vertex (geometry) Computer Science::Computer Vision and Pattern Recognition Robot Graph (abstract data type) Computer vision AIBO Artificial intelligence Topological map business
Zdroj:	ICRA
ISSN:	1050-4729
DOI:	10.1109/robot.2007.363623
Popis:	In this paper we propose an on-line incremental vision-based topological map learning for AIBO robots. The topological map is represented through a graph, where the vertices encode views from the robot's environment and the edges the spatial relationship between these views. The views are represented through their SIFT keypoints. The proposed map learning method has been successfully applied to a homing application.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::07b18061938b2622e057a3b92bb22cad https://doi.org/10.1109/robot.2007.363623 Zobrazit plný text záznamu