Publication
Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance
Publications associées (36)
VDM-based navigation for Delta-wing UAVs: Models, calibration, implementation
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 ...
EPFL2024VDMNav: 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 ...
2024Aerodynamic modeling of a delta-wing UAV for model-based navigation
Jan Skaloud, Pasquale Longobardi
This study aims to identify an optimal, as well as practical, parametric structure for a delta-wing UAV aerodynamic model for the purpose of model-based navigation. We present a comprehensive procedure for characterizing the aerodynamics of this platform, ...
2024Open Access Identifying Aerodynamics of Small Fixed-Wing Drones Using Inertial Measurements for Model-Based Navigation
Jan Skaloud, Gabriel François Laupré
The success of drone missions is incumbent on an accurate determination of the drone pose and velocity, which are collectively estimated by fusing inertial measurement unit and global navigation satellite system (GNSS) measurements. However, during a GNSS ...
2023Identifying aerodynamics of small fixed-wing drones using inertial measurements for model-based navigation
Jan Skaloud, Gabriel François Laupré
The success of drone missions is incumbent on an accurate determination of the drone pose and velocity, which are collectively estimated by fusing iner- tial measurement unit and global navigation satellite system (GNSS) mea- surements. However, during a G ...
2023Optimization and Real-Time Aspects of Aircraft Model-Based Navigation
The Vehicle Dynamic Model (VDM) based navigation of fixed-wing drones determines the airborne trajectory in conjunction with Inertial Measurement Unit (IMU) sensors. Without Global Navigation Satellite Systems (GNSS) signals, this method estimates navigati ...
EPFL2022GNSS/INS Kalman Filter Integrity Monitoring with Uncertain Time Correlated Error Processes
Safety-critical navigation applications require that estimation errors be reliably quantified and bounded. Over the last decade, significant effort has been put to guarantee a bounded position estimation by using Global Navigation Satellite Systems (GNSS) ...
EPFL2022Calibration of Fixed-Wing UAV Aerodynamic Coefficients with Photogrammetry for VDM-based Navigation
Jan Skaloud, Gabriel François Laupré
Autonomous navigation is a crucial aspect for fixed-wing unmanned aerial vehicle operation when encountering disturbance or denial of GNSS signal reception. Vehicle dynamic model-based navigation improves the performance of methods based exclusively on int ...
2021Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach
Nikolaos Geroliminis, Emmanouil Barmpounakis
The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...
2021Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation
Jan Skaloud, Stéphane Guerrier, Mehran Khaghani
Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...
2019