The present paper describes a vision-based simultaneous localization and mapping system
to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to …

Object-level simultaneous localization and mapping (SLAM) has gained popularity in recent
years since it can provide a means for intelligent robot-to-environment interactions …

Abstract The SLAM or Simultaneous Localization and Mapping still remains one of the most
important problems to be fully addressed in the path to building fully autonomous mobile …

This work presents a variant approach to the monocular SLAM problem focused in exploiting
the advantages of a human-robot interaction (HRI) framework. Based upon the delayed …

Simultaneous localization and mapping (SLAM) is an important problem to solve in robotics
theory in order to build truly autonomous mobile robots. This work presents a novel method …

In recent years, many researchers have addressed the issue of making Unmanned Aerial
Vehicles (UAVs) more and more autonomous. In this context, the state estimation of the …

This work presents a method for implementing a visual‐based simultaneous localization and
mapping (SLAM) system using omnidirectional vision data, with application to autonomous …

Automating docking operations of ships requires at least two robust and precise localization
systems for reaching the typically required safety and redundancy levels. Global navigation …

Simultaneous Mapping and Localization (SLAM) is a multidisciplinary problem with
ramifications within several fields. One of the key aspects for its popularity and success is the …

A new approach to the monocular simultaneous localization and mapping (SLAM) problem
is presented in this work. Data obtained from additional bearing-only sensors deployed as …