Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …

Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

In this paper, we focus on the problem of motion tracking in unknown environments using
visual and inertial sensors. We term this estimation task visual–inertial odometry (VIO), in …

In this paper, we perform a rigorous analysis of EKF-based visual-inertial odometry (VIO)
and present a method for improving its performance. Specifically, we examine the properties …

The aim of the paper is to present, test and discuss the implementation of Visual SLAM
techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially …

Cloud computing is significantly reshaping the computing industry built around core
concepts such as virtualization, processing power, connectivity and elasticity to store and …

This paper focuses on the problem of real-time pose tracking using visual and inertial
sensors in systems with limited processing power. Our main contribution is a novel approach …

This paper presents a novel method to support environmental perception of mobile robots by
the use of a global feature map. While typical approaches to simultaneous localization and …

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 …

This paper introduces a novel method for vehicle pose estimation and motion tracking using
visual features. The method combines ideas from research on visual odometry with a feature …