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Related publications (27)

Collecting Large-Scale Traffic Data with a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

The new era of “big data” requires going past the current conventional methods for gathering traffic information that until now depend either on fixed-area sensors or GPS devices. Unmanned Aerial Systems (UAS) or just "drones" have been proposed as a moder ...

2020

Fusion of Photo with Airborne Laser Scanning

Jan Skaloud, Emmanuel Pierre Quentin Clédat

Photogrammetry and Laser-Scanning are usually considered as complementary. Integration of these two observation methods has the potential to blend their individual advantages. The resulting benefit is likely to be higher in drone airborne mapping, which pa ...

2020

The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly

Dario Floreano, Stefano Mintchev, Davide Scaramuzza

The recent advances in state estimation, perception, and navigation algorithms have significantly contributed to the ubiquitous use of quadrotors for inspection, mapping, and aerial imaging. To further increase the versatility of quadrotors, recent works i ...

2019

Sensitivity to Time Delays in VDM-Based Navigation

Jan Skaloud, Gabriel François Laupré, Mehran Khaghani

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

Drone Shadow Tracking

Sabine Süsstrunk, Majed El Helou, Ruofan Zhou

Aerial videos taken by a drone not too far above the surface may contain the drone's shadow projected on the scene. This deteriorates the aesthetic quality of videos. With the presence of other shadows, shadow removal cannot be directly applied, and the sh ...

2019

Deep learning in the built environment: automatic detection of rooftop solar panels using Convolutional Neural Networks

Roberto Castello, Jean-Louis Scartezzini, Adrian Guerra, Martin Esguerra

Mapping the location and size of solar installations in urban areas can be a valuable input for policymakers and for investing in distributed energy infrastructures. Machine Learning techniques, combined with satellite and aerial imagery, allow to overcome ...

IOP Science2019

Lake Imaging and Monitoring Aerial Drone

David Andrew Barry, Ludovic Zulliger, Jean-Luc Liardon, Karl Johannes Kangur, Nawaaz Sidharth Gujja Shaik, Lukas Oliver Hostettler

We describe the development of a BVLOS (Beyond Visual Line-Of-Sight) model aircraft (UAV). The broad design requirements included (i) fuselage capable of accommodating an imaging package or other instrumentation, (ii) suitability for over-lake BVLOS author ...

2018

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