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Jan Skaloud

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Publications associées (100)

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Positioning Autonomy of a Fixed-Wing UAV through VDM/INS Integration with Experimental Results

Jan Skaloud, Mehran Khaghani

In this paper, practical realization of a previously proposed VDM based integrated navigation for UAVs is presented. This method utilizes the vehicle dynamic model (VDM) fed by autopilot control commands as main process model within the navigation filter a ...

2017

Accuracy Estimation for Laser Point Cloud Including Scanning Geometry

Jan Skaloud

Individual points produced by airborne laser scanning (ALS) may have large variation in their accuracy, a fact that is often omitted in the subsequent derivation of digital terrain models. The accuracy of a single point is governed by three main factors: F ...

2007

A Micro Aerial Vehicle with Precise Position and Attitude Sensors

Jan Skaloud, Martin Rehak

This study shows the potential of navigation technologies in the field of position and orientation determination on a micro aerial vehicle (MAV), which weight does not exceed 5 kg. Although the MAV systems feature high flexibility and capability of flying ...

E Schweizerbartsche Verlagsbuchhandlung2014

SEARCHING LOST PEOPLE WITH UAVS: THE SYSTEM AND RESULTS OF THE CLOSE-SEARCH PROJECT

Jan Skaloud

This paper will introduce the goals, concept and results of the project named CLOSE-SEARCH, which stands for ’Accurate and safe EGNOS-SoL Navigation for UAV-based low-cost Search-And-Rescue (SAR) operations’. The main goal is to integrate a medium-size, he ...

2012

Integrating Photogrammetry and Inertial Sensors for Robotics Navigation and Mapping

Jan Skaloud, Bertrand Merminod, Fadi Atef Bayoud

Integrating visual and inertial sensors has become a common practice in navigation due to the increase in computer power, in algorithms advancement and in sensor improvements. One of the problems yet to be solved is the Simultaneous Localisation And Mappin ...

2005

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

Jan Skaloud, Aman Sharma, 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

Calibration 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 ...

2021

Generalized Method of Wavelet Moments for Inertial Navigation Filter Design

Jan Skaloud, Stéphane Guerrier, Yannick Stebler

The integration of observations issued from a satellite-based system (GNSS) with an inertial navigation system (INS) is usually performed through a Bayesian filter such as the extended Kalman filter (EKF). The task of designing the navigation EKF is strong ...

Institute of Electrical and Electronics Engineers2014

Application Of Vehicle Dynamic Modeling In Uavs For Precise Determination Of Exterior Orientation

Jan Skaloud, Mehran Khaghani

Advances in unmanned aerial vehicles (UAV) and especially micro aerial vehicle (MAV) technology together with increasing quality and decreasing price of imaging devices have resulted in growing use of MAVs in photogrammetry. The practicality of MAV mapping ...

Copernicus Gesellschaft Mbh2016

Improving Modeling of MEMS-IMUs Operating in GNSS-denied Conditions

Jan Skaloud, Stéphane Guerrier, Yannick Stebler

Stochastic modeling is a challenging task for low- cost inertial sensors whose errors can have complex spectral structures. This makes the tuning process of the INS/GNSS Kalman filter often sensitive and difficult. We are currently investigating two approa ...

Inst Navigation2011

Autonomous Vehicle Dynamic Model-Based Navigation for Small UAVs

Jan Skaloud, Mehran Khaghani

This paper presents a novel approach to autonomous navigation for small UAVs, with no extra sensor added to the conventional INS/GNSS setup. The proposed method significantly increases the accuracy and reliability of autonomous navigation, especially for s ...

2016

Fault Detection and Isolation in Multiple MEMS-IMUs Configurations

Jan Skaloud, Stéphane Guerrier, Adrian Ulrich Wägli

This research presents methods for detecting and isolating faults in multiple micro-electro-mechanical system inertial measurement unit (MEMS-IMU) configurations. First, geometric configurations with n sensor triads are investigated. It is proved that the ...

Institute of Electrical and Electronics Engineers2012

Position accuracy with redundant MEMS IMU for road applications

Jan Skaloud, Bertrand Merminod, Pierre-Yves Gilliéron, Philipp Clausen

Traffic problems have mainly resulted from an increase in mobility over the last decades involving an increase in traffic congestion and degradation of environmental conditions. The employment of new systems - namely, Intelligent Transport Systems (ITS) is ...

2015

Synthetic Wind Estimation for Small Fixed-Wing Drones

Jan Skaloud, Aman Sharma, Gabriel François Laupré, Pasquale Longobardi

Wind estimation is crucial for studying the atmospheric boundary layer. Traditional methods such as weather balloons offer limited in situ capabilities; besides an Air Data System (ADS) combined with inertial measurements and satellite positioning is requi ...

MDPI AG2024

Assessment of VDM-based autonomous navigation of a UAV under operational conditions

Jan Skaloud, Mehran Khaghani

This paper presents extensions and practical realization of a previously proposed novel approach to navigation and sensor integration for small unmanned aerial vehicles (UAV). The proposed approach employs vehicle dynamic model (VDM) as process model withi ...

Elsevier2018

Indoor-Positioning in DVB-T/T2 Single-Frequency Networks Using Inverse Passive Radar Approach

Jan Skaloud

Wide signal bandwidth and precisely time-synchronized single-frequency network predetermines DVB-T and its successor DVB-T2 for Signals of Opportunity (SoP) radio positioning. Previously published methods were based on demanding OFDM symbol synchronization ...

Institute of Electrical and Electronics Engineers Inc.2024

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

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

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

Sensitivity to Time Delays in VDM-Based Navigation

Jan Skaloud, Mehran Khaghani, Gabriel François Laupré

A recently proposed navigation methodology for aerial platforms based on the vehicle dynamic model (VDM) has shown promising results in terms of navigation autonomy. Its practical realization requires that control inputs are related to the same absolute ti ...

2019

Reliable strategies for implementing model-based navigation on fixed-wing drones

Jan Skaloud, Gabriel François Laupré

A relatively novel approach of autonomous navigation employing platform dynamics as the primary process model raises new implementational challenges. These are related to: (i) potential numerical instabilities during longer flights; (ii) the quality of mod ...

2023

Linear Estimation of Deterministic Accelerometer Errors

Jan Skaloud, Aman Sharma

The deterministic errors of an accelerometer comprise the prevailing i) bias, ii) scale factor, and iii) non-orthogonality. Together, these errors result in a nonlinear measurement model, which is conventionally solved via an iterative nonlinear least-squa ...

2024