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 …

Applications of mobile robots are continuously capturing the importance in numerous areas
such as agriculture, surveillance, defense, and planetary exploration to name a few …

This paper introduces a taxonomy of vision systems for ground mobile robots. In the last five
years, a significant number of relevant papers have contributed to this subject. Firstly, a …

Understanding the environment is an essential ability for robots to be autonomous. In this
sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene …

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

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 …

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 …

Abstract The problem of Simultaneous Localization and Mapping (SLAM) is essential in
mobile robotics. The obtention of a feasible map of the environment poses a complex …

This work presents an improved visual odometry using omnidirectional images. The main
purpose is to generate a reliable prior input which enhances the SLAM (Simultaneous …

In this paper, we present a SLAM approach that builds global occupancy-grid maps using
laser range data. The method consists of two basic algorithms: a process of finding …