2,326 research outputs found
Real-time Model-based Image Color Correction for Underwater Robots
Recently, a new underwater imaging formation model presented that the
coefficients related to the direct and backscatter transmission signals are
dependent on the type of water, camera specifications, water depth, and imaging
range. This paper proposes an underwater color correction method that
integrates this new model on an underwater robot, using information from a
pressure depth sensor for water depth and a visual odometry system for
estimating scene distance. Experiments were performed with and without a color
chart over coral reefs and a shipwreck in the Caribbean. We demonstrate the
performance of our proposed method by comparing it with other statistic-,
physic-, and learning-based color correction methods. Applications for our
proposed method include improved 3D reconstruction and more robust underwater
robot navigation.Comment: Accepted at the 2019 IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS
An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor
This paper presents a novel tightly-coupled keyframe-based Simultaneous
Localization and Mapping (SLAM) system with loop-closing and relocalization
capabilities targeted for the underwater domain. Our previous work, SVIn,
augmented the state-of-the-art visual-inertial state estimation package OKVIS
to accommodate acoustic data from sonar in a non-linear optimization-based
framework. This paper addresses drift and loss of localization -- one of the
main problems affecting other packages in underwater domain -- by providing the
following main contributions: a robust initialization method to refine scale
using depth measurements, a fast preprocessing step to enhance the image
quality, and a real-time loop-closing and relocalization method using bag of
words (BoW). An additional contribution is the addition of depth measurements
from a pressure sensor to the tightly-coupled optimization formulation.
Experimental results on datasets collected with a custom-made underwater sensor
suite and an autonomous underwater vehicle from challenging underwater
environments with poor visibility demonstrate performance never achieved before
in terms of accuracy and robustness
ANALISI PROTEOMICA DEI MITOCONDRI IN UN CASO DI SINDROME DI FATICA CRONICA
La sindrome della fatica cronica è una malattia caratterizzata da una stanchezza persistente e non spiegabile che si accompagna a grave compromissione dell'attività quotidiana. L'eziologia e la fisiopatogenesi non sono molto conosciute. La diagnosi viene fatta sulla storia del paziente escludendo altre cause mediche
Monte--Carlo Thermodynamic Bethe Ansatz
We introduce a Monte--Carlo simulation approach to thermodynamic Bethe ansatz
(TBA). We exemplify the method on one particle integrable models, which include
a free boson and a free fermions systems along with the scaling Lee--Yang model
(SLYM). It is confirmed that the central charges and energies are correct to a
very good precision, typically 0.1% or so. The advantage of the method is that
it enables the calculation of all the dimensions and even the particular
partition function.Comment: 22 pages. Added a footnote and realizations for the minimal models.
Fortran program, mont-s.f90, available from the source lin
Educación, corporalidad y nueva morfología del trabajo.Los Calls Centers ¿escuelas de trabajo?
El objetivo de este artículo es explorar la relación entre educación y trabajo a partir del análisis de un programa educativo que lleva adelante una de las principales empresas de Call Center en la ciudad de Córdoba, Argentina, como parte de su política de responsabilidad social empresaria. La dimensión de lo corporal emerge desde la perspectiva que se plantea como un eje transversal que permite poner en relación educación y trabajo, con los complejos procesos de re-estructuración social. Del análisis realizado, se observa que a pesar de las transformaciones acaecidas, principalmente como producto de la aplicación de las políticas neoliberales en la Argentina, la educación aún conserva un papel importante como configurador de corporalidad; y al mismo tiempo, encarna un engranaje más de los nuevos mecanismos de explotación. La educación por capacidades, como una de las tendencias sintomática observada, opera dentro y fuera del sistema formal de educación (en la empresa, en la casa, en las cargas extracurriculares?), configurando la empleabilidad como disposicionalidad reinante en aquellos-que-viven-del-trabajo.This paper aims to explore the relationship between education and work based on the analysis of an educa- tional program that is carried out by one of the leading Calls Centers in the city of Córdoba, Argentina, as part of its pol- icy of “corporate social responsibility". The dimension of “body” emerges here as a crosscutting issue that allows to link education and work, with the complex processes of social restructuring. From this analysis, it appears that despite the transformations, mainly as a result of the implementation of neoliberal policies in Argentina, education still has an impor- tant role in shaping corporeality; and at the same time, expresses a cog in the new exploitation mechanisms. The educa- tion by capabilities, as one of the observed symptomatic trends, operates within and outside the formal educational sys- tem (at the company, at home, in "extracurricular activities") setting the employability as reigning inclination in those- who-live-from-job.Fil: Lisdero, Pedro Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Córdoba. Centro de Investigaciones y Estudio sobre Cultura y Sociedad; Argentina;Fil: Quattrini, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; Argentina
An Autonomous Surface Vehicle for Long Term Operations
Environmental monitoring of marine environments presents several challenges:
the harshness of the environment, the often remote location, and most
importantly, the vast area it covers. Manual operations are time consuming,
often dangerous, and labor intensive. Operations from oceanographic vessels are
costly and limited to open seas and generally deeper bodies of water. In
addition, with lake, river, and ocean shoreline being a finite resource,
waterfront property presents an ever increasing valued commodity, requiring
exploration and continued monitoring of remote waterways. In order to
efficiently explore and monitor currently known marine environments as well as
reach and explore remote areas of interest, we present a design of an
autonomous surface vehicle (ASV) with the power to cover large areas, the
payload capacity to carry sufficient power and sensor equipment, and enough
fuel to remain on task for extended periods. An analysis of the design and a
discussion on lessons learned during deployments is presented in this paper.Comment: In proceedings of MTS/IEEE OCEANS, 2018, Charlesto
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