Fixed-wing Micro Aerial Vehicle for Accurate Corridor Mapping

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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 ...

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 ...

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, ...

Tightly-coupled sensor orientation, i.e. the simultaneous processing of temporal (GNSS and raw inertial) and spatial (image and lidar) constraints in a common adjustment, has demonstrated significant improvement in the quality of attitude determination wit ...

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 ...

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic large ...

Inertial measurement unit (IMU) sensors are widely used for motion analysis in sports and rehabilitation. The attachment of IMU sensors to predefined body segments and sides (left/right) is complex, time-consuming, and error-prone. Methods for solving the ...

With the prevalence of smartphones, watches, and Internet of Things (IoT) devices, the ability to track their positions is becoming increasingly important. For many indoor positioning systems (IPSs), providing an uninterrupted flow of information in real-t ...

This paper proposes a novel method to improve georeferencing of airborne laser scanning by improved trajectory estimation using Vehicle Dynamic Model. In Vehicle Dynamic Model (VDM), the relationship between the dynamics of the platform and control inputs ...

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 ...

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) ...

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

Near-surface wind is difficult to estimate using global numerical weather and climate models, because airflow is strongly modified by underlying topography, especially that of a country such as Switzerland. In this article, we use a statistical approach ba ...

Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understanding these navigation patterns is crucial to better serve readers' needs and ad ...

In airborne laser scanning a high-frequency trajectory solution is typically determined from inertial sensors and employed to directly geo-reference the acquired laser points. When low-cost MEMS inertial sensors are used, such as in lightweight unmanned ae ...

Modern media data such as 360 degrees videos and light field (LF) images are typically captured in much higher dimensions than the observers' visual displays. To efficiently browse high-dimensional media, a navigational streaming model is considered: a cli ...

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 ...

We have recently released in the open domain data originating from a series of flights conducted with a fixed-wing micro UAV carrying high-quality small camera and navigation sensors. This data was previously used in several peer-reviewed publications. How ...

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 ...

Accurate localization is one of the biggest challenges in underwater robotics. The primary reasons behind that are unavailability of satellite-based positioning below the surface, and lack of clear features in natural water bodies for visually aided locali ...

Fixed-wing Micro Aerial Vehicle for Accurate Corridor Mapping

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

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

Aerodynamic modeling of a delta-wing UAV for model-based navigation

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Identifying aerodynamics of small fixed-wing drones using inertial measurements for model-based navigation

A Large-Scale Characterization of How Readers Browse Wikipedia

Automatic Body Segment and Side Recognition of an Inertial Measurement Unit Sensor during Gait

Indoor Real-time localization system design for Internet of Things applications

Model-based constraints for trajectory determination of quad-copters: Design, calibration & merits for direct orientation

Optimization and Real-Time Aspects of Aircraft Model-Based Navigation

GNSS/INS Kalman Filter Integrity Monitoring with Uncertain Time Correlated Error Processes

UAV in the advent of the twenties: Where we stand and what is next

Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks

Wikipedia Reader Navigation: When Synthetic Data Is Enough

On the benefit of concurrent adjustment of active and passive optical sensors with GNSS & raw inertial data

Landmarking for Navigational Streaming of Stored High-Dimensional Media

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

Fixed-wing micro UAV open data with digicam and raw INS/GNSS

Calibration of Fixed-Wing UAV Aerodynamic Coefficients with Photogrammetry for VDM-based Navigation

Coordinated Path Planning for Surface Acoustic Beacons for Supporting Underwater Localization