Publications associées à Géodésie

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

Navigation of drones is predominantly based on sensor fusion algorithms. Most of these algorithms make use of some form of Bayesian filtering with a majority employing an Extended Kalman Filter (EKF), wherein inertial measurements are fused with a Global N ...

2024

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Laurent Valentin Jospin, Jesse Ray Murray Lahaye

Bayesian statistics is concerned with the integration of new information obtained through observations with prior knowledge, and accordingly, is often related to information theory (Jospin 2022). Recursive Bayesian estimation methods, such as Kalman Filter ...

2023

Covariant formulation of relativistic mechanics

Miguel Alexandre Ribeiro Correia

Accretion disks surrounding compact objects, and other environmental factors, deviate satellites from geodetic motion. Unfortunately, setting up the equations of motion for such relativistic trajectories is not as simple as in Newtonian mechanics. The prin ...

AMER PHYSICAL SOC2022

In situ observations of the Swiss periglacial environment using GNSS instruments

Alessandro Cicoira, Matthias Meyer, Hugo Raetzo

Monitoring of the periglacial environment is relevant for many disciplines including glaciology, natural hazard management, geomorphology, and geodesy. Since October 2022, Rock Glacier Velocity (RGV) is a new Essential Climate Variable (ECV) product within ...

COPERNICUS GESELLSCHAFT MBH2022

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

Mark Pauly, Florin Isvoranu, Uday Kusupati, Tian Chen, Yingying Ren, Davide Pellis

We present a computational inverse design framework for a new class of volumetric deployable structures that have compact rest states and deploy into bending-active 3D target surfaces. Umbrella meshes consist of elastic beams, rigid plates, and hinge joint ...

2022

Generation of elastic geodesic gridshells with anisotropic cross sections

Corentin Jean Dominique Fivet, Nicolas Robin Montagne, Olivier Baverel

Geodesic gridshells are shell structures made of continuous elements following geodesic lines. Their properties ease the use of beams with anisotropic cross-sections by avoiding bending about their strong axis. However, such bending may arise when flatteni ...

2021

A deep learning approach to Cadastral Computing

Frédéric Kaplan, Isabella Di Lenardo, Sofia Ares Oliveira, Bastien Solal Emile Tourenc

This article presents a fully automatic pipeline to transform the Napoleonic Cadastres into an information system. The cadastres established during the first years of the 19th century cover a large part of Europe. For many cities they give one of the first ...

2019

Can Precursory Moment Release Scale With Earthquake Magnitude? A View From the Laboratory

Marie Estelle Solange Violay, François Xavier Thibault Passelègue, Mateo Alejandro Acosta

Today, earthquake precursors remain debated. While precursory slow slip is an important feature of earthquake nucleation, foreshock sequences are not always observed, and their temporal evolution remains poorly constrained. We report on laboratory earthqua ...

2019

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Géodésie

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Molecular simulation on two-dimensional nanoporous material for energy-efficient separation

Covariant formulation of relativistic mechanics

In situ observations of the Swiss periglacial environment using GNSS instruments

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

Generation of elastic geodesic gridshells with anisotropic cross sections

A deep learning approach to Cadastral Computing

Can Precursory Moment Release Scale With Earthquake Magnitude? A View From the Laboratory

Graph Chatbot

Chattez avec Graph Search

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

In situ observations of the Swiss periglacial environment using GNSS instruments

Molecular simulation on two-dimensional nanoporous material for energy-efficient separation

Generation of elastic geodesic gridshells with anisotropic cross sections

A deep learning approach to Cadastral Computing

Covariant formulation of relativistic mechanics

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

Can Precursory Moment Release Scale With Earthquake Magnitude? A View From the Laboratory