Vision-based place recognition is of a particular importance for autonomous systems that
aim to navigate intelligently in a human-inhabited environment. Given a topological map of …

This paper proposes a new method for mobile robots to recognize places with the use of a
single camera and natural landmarks. In the learning stage, the robot is manually guided …

In this paper, an appearance-based modeling of the environment is presented for the sake
of mobile robot localization. The model allows perception and recognition within a …

In this paper we present a method for robots to do visual place recognition and
categorization. The robot learns from experience and then recognizes previously observed …

Integrating information coming from different sensors is a fundamental capability for
autonomous robots. For complex tasks like topological localization, it would be desirable to …

Vision Based qualitative localization or in the other word place recognition is an important
perceptual problem at the center of several fundamental robot procedures. Place recognition …

In this paper, we present a recognition-based autonomous navigation system for mobile
robots. The system is based on our previously proposed robust invariant feature (RIF) …

Place recognition is an important perceptual robotic problem, especially in the navigation
process. Previous place-recognition approaches have been used for solving 'global …

Localization and context interpretation are two key competences for mobile robot systems.
Visual place recognition, as opposed to purely geometrical models, holds promise of higher …

Mobile robots rely on their ability of scene recognition to build a topological map of the
environment and perform location-related tasks. In this paper, we describe a novel …