This paper describes an approach to solve the Simultaneous Localization and Mapping
(SLAM) problem with a team of cooperative autonomous vehicles. We consider that each …

In this paper we deal with the problem of map building and localization of a mobile robot in
an environment using the information provided by an omnidirectional vision sensor that is …

The huge amount of active research has been focused on developing the remote sensing
based applications for providing the object classification procedure focusing on the energy …

Self-localization enables a system to navigate and interact with its environment. In this study,
we propose a novel sparse semantic self-localization approach for robust and efficient …

This paper addresses the problem of feature-based robot localization in large-size
environments. With recent progress in SLAM techniques, it has become crucial for a robot to …

Evidence shows that a large variety of animals use Earth's magnetic field for navigation.
Inspired by this intriguing ability of animals, we propose a MCL algorithm that utilizes local …

A comparative analysis between several methods to describe outdoor panoramic images is
presented. The main objective consists in studying the performance of these methods in the …

In this study a unified framework to carry out the simultaneous localisation and mapping of a
mobile robot combining metric and topological techniques is presented. The robot moves in …

Feature extraction in images is an important issue in mobile robotics, as it helps the robot to
understand its environment and fulfil its objectives. This paper summarises a new two-step …

Objects can be identified in images extracting local image descriptors for interesting regions.
In this paper, instead of making the handle identification process rely in the keypoint …