Publications associées à Prediction of phase ambiguity resolution based on signal intensity and geometry

Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

Giovanni De Cesare, Paolo Perona, Robin Schroff

This article investigates the performance and accuracy of continuous Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The a ...

2024

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

Jan Skaloud, Gabriel François Laupré

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

VDM-based navigation for Delta-wing UAVs: Models, calibration, implementation

Pasquale Longobardi

Autonomous navigation of small UAVs is typically based on the integration of inertial navigation systems (INS) together with global navigation satellite systems (GNSS). However, GNSS signals can face various forms of interference affecting their continuous ...

EPFL2024

Bluetooth Low Energy Direction Finding Principle

Yves Perriard, Alexis Boegli, Pooneh Mohaghegh

The ubiquitous implementation of 5G networks and the Internet of Things (IoT), brings about the importance of indoor localization. Even though Global Positioning System (GPS) provides an efficient outdoor Positioning System (PS), indoor positioning techniq ...

IEEE2021

Online Kinematic and Dynamic Parameter Estimation for Autonomous Surface and Underwater Vehicles

Alcherio Martinoli, Anwar Ahmad Quraishi

One of the main challenges in underwater robot localization is the scarcity of external positioning references. Therefore, accurate inertial localization in between external position updates is crucial for applications such as underwater environmental samp ...

2021

X-ray pulsar-based GNC system for formation flying in high Earth orbits

Camille Sébastien Pirat, Volker Gass

In this paper, comprehensive pulsar-based Guidance, Navigation and Control (GNC) system is designed and applied to satellites formation flying. The complete autonomy of the X-ray pulsar navigation technology provides both absolute and relative positioning ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

Jan Skaloud, Davide Antonio Cucci, Laurent Valentin Jospin, Emmanuel Pierre Quentin Clédat

Drone mapping with GNSS-assisted photogrammetry is a highly efficient method for surveying small -or medium- sized areas. However, the mapping quality is not intuitively predictable, particularly in complex environments (with steep and cluttered terrain), ...

2020

Kinetic Euclidean Distance Matrices

Martin Vetterli, Ivan Dokmanic, Puoya Tabaghi

Euclidean distance matrices (EDMs) are a major tool for localization from distances, with applications ranging from protein structure determination to global positioning and manifold learning. They are, however, static objects which serve to localize point ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Distributed State Estimation and Control of Autonomous Quadrotor Formations Using Exclusively Onboard Resources

Duarte Da Cruz Baptista Dias

The navigation of unmanned aerial vehicles operating in environments without global positioning systems, including global navigation satellite systems and motion capture systems, is a recent research topic, without much work reported in the literature. In ...

EPFL2019

Calibration Aspects of INS Navigation

Philipp Clausen

The use of a Bayesian filter (e.g., Kalman filter) for the fusion of information from satellite positioning and inertial navigation is a common approach in many applications, where the knowledge of position, velocity, and attitude in space are of great int ...

EPFL2019

Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains. In this paper, we present an algorithm based on Source Term Estimation for odor source localization ...

2019

Comparison of L1 and L5 Bands GNSS Signals Acquisition

Cyril Botteron, Jérôme Leclère

Nowadays, civil Global Navigation Satellite System (GNSS) signals are available in both L1 and L5 bands. A receiver does not need to acquire independently the signals in both bands coming from a same satellite, since their carrier Doppler and code delay ar ...

2018

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

Alcherio Martinoli, Zeynab Talebpour

In this paper, we propose a risk-based coordination method for the Multi-Robot Task Allocation (MRTA) problem in human-populated environments. We introduce risk-based bids that incorporate human trajectory prediction uncertainties and furthermore, social c ...

2018

Parameter Estimation with GNSS-Reflectometry and GNSS Synthetic Aperture Techniques

Miguel Angel Ribot Sanfelix

Aside from intentional interference, multipath is the most significant error source for Global Navigation Satellite Systems (GNSS) receivers in many operational scenarios. In this thesis, we study the multipath estimation from two different perspectives: t ...

EPFL2018

Review of current GPS methodologies for producing accurate time series and their error sources

Jean-Philippe Lucien Montillet

The Global Positioning System (GPS) is an important tool to observe and model geodynamic processes such as plate tectonics and post-glacial rebound. In the last three decades, GPS has seen tremendous advances in the precision of the measurements, which all ...

Elsevier2017

GPS Based Navigation Performance Analysis within and beyond the Space Service Volume for Different Transmitters’ Antenna Patterns

Pierre-André Farine, Cyril Botteron, Vincenzo Capuano, Endrit Shehaj, Paul David Blunt

In recent years, global navigation satellite system (GNSS)-based navigation in high earth orbits (HEOs) has become a field of research interest since it can increase the spacecraft’s autonomy, thereby reducing the operating costs. However, the GNSS availab ...

2017

Orbital Filter Aiding of a High Sensitivity GPS Receiver for Lunar Missions

Pierre-André Farine, Cyril Botteron, Vincenzo Capuano, Paul David Blunt

Recent studies have shown that weak Global Navigation Satellite System (GNSS) signals could potentially be used to navigate from the Earth to the Moon. This would increase autonomy, robustness and flexibility of the navigation architectures for future luna ...

Wiley Periodicals, Inc2017

Assessment of positioning accuracy of vehicle trajectories for different road applications

Pierre-Yves Gilliéron, Philipp Clausen

Global navigation satellite systems (GNSS) has become a kind of positioning standard due to the high penetration rate of this technology on mass market intelligent transportation systems (ITS) applications. However, this positioning technique remains a rea ...

Institution of Engineering and Technology2017

Estimation Bounds for GNSS Synthetic Aperture Techniques

Pierre-André Farine, Cyril Botteron, Miguel Angel Ribot Sanfelix, Joaquin Cabeza de Pablo

This paper characterizes the estimation performance of synthetic aperture (SA) techniques in the context of moving GNSS receivers. Under the assumption of a stationary channel, SA techniques transform a single antenna into a virtual array. We first introdu ...

2017

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Martin Vetterli, Paul Hurley, Thierry Blu, Hanjie Pan, Matthieu Martin Jean-André Simeoni

Context. Two main classes of imaging algorithms have emerged in radio interferometry: the CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They are both discrete in nature, and estimate source locations and intensities on ...

2017