Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of
autonomous vehicles is available to solve different tasks. The advances in computer vision …

Indoor service robots need to build an object-centric semantic map to understand and
execute human instructions. Conventional visual simultaneous localization and mapping …

Real-time vehicle localization (ie, position and orientation estimation in the world coordinate
system) with high accuracy is the fundamental function of an intelligent vehicle (IV) system …

In this work, a framework is proposed to build topological models in mobile robotics, using
an omnidirectional vision sensor as the only source of information. The model is structured …

This work presents a robust visual localization technique based on an omnidirectional
monocular sensor for mobile robotics applications. We intend to overcome the non …

This paper presents an extended study about the compression of topological models of
indoor environments. The performance of two clustering methods is tested in order to know …

The use of visual sensors in robotic navigation tasks is a common approach, and numerous
examples can be found in the literature. This work focuses on the problem of map building …

Nowadays, the design of fully autonomous mobile robots is a key discipline. Building a
robust model of the unknown environment is an important ability the robot must develop …

This work presents some methods to create local maps and to estimate the position of a
mobile robot, using the global appearance of omnidirectional images. We use a robot that …

The aim of this paper is to achieve the optimal hyperparameters setup of a convolutional
neural network (CNN) to address the localization of a mobile robot. The localization problem …