Localisation, ie estimation of one's position in a given environment is a crucial element of
many mobile systems, manned and unmanned. Due to the high demand for autonomous …

In this article a real-time method is proposed that reduces the pose estimate error for robots
capable of motion on the 2D plane. The solution that the method provides addresses the …

This paper presents a novel global localization approach for mobile robots by exploring line-
segment features in any structured environment. The main contribution of this paper is an …

In this paper we investigate the action selection problem for multiple mobile robots active
and cooperative global localization in large environments. Firstly, an off-line localizability …

This work is about solving the global localization issue for mobile robots, operating in large
and cooperative environments. It tackles the problem of estimating the pose of a robot, or …

The purpose of this paper is to present a hybrid method of a particle filter for localization in
mobile robotics. The main references are the particle filter based on Kullback-Leibler …

This paper presents a novel and efficient framework to the active map-based global
localization problem for mobile robots operating in large and cooperative environments. The …

In this paper, we present a global localization and local pose error compensation method in
a known structured environment using magnetic landmarks. In previous our research, it was …

In order to achieve the autonomy of mobile robots, effective localization is a necessary
prerequisite. In this thesis, we first study and compare three regular Markov localization …

Mobility for disabled individuals is a crucial issue in their daily lives. The navigation system
is one of the most commonly employed techniques for smart wheelchairs in the domain of …