Concept

Aerial photography

Related publications (98)

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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 ...

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A Comparative Study of Collision Avoidance Algorithms for Unmanned Aerial Vehicles: Performance and Robustness to Noise

Denis Gillet, Alcherio Martinoli, Steven Adriaan Roelofsen

Over the past years, the field of small unmanned aerial vehicles has grown significantly and several applications have appeared, requiring always more autonomous flight. An important remaining challenge for fully autonomous unmanned aerial vehicles is coll ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Teleoperation with a wearable sensor system

David Atienza Alonso, Dario Floreano, Silvestro Micera, Stefano Mintchev, Jenifer Cléa Miehlbradt, Fiorenzo Artoni, Martina Coscia, Fabio Isidoro Tiberio Dell'Agnola, Alexandre Thierry Cherpillod

A method for remotely controlling an operated unmanned object, comprises defining of a set of control movements of an operator; selecting of minimal necessary signals to reliably acquire the operator's control movements; defining of a mapping of the contro ...

2019

The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle

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Extending the maneuverability of multirotors promises to yield a considerable increase in their scope of applications, such as carrying out more challenging inspection tasks and generating complex, uninterrupted movements of an attached camera. In this art ...

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Learning to Control Drones in Natural Environments: A Survey

Davide Scaramuzza

Lightweight, autonomous drones are soon expected to be used in a wide variety of tasks such as aerial surveillance, delivery, or monitoring of existing architectures. A large body of literature in robotic perception and control exists. Existing methods are ...

2018

Lake Imaging and Monitoring Aerial Drone

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

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 ...

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This paper provides insight into the application of the quadrupedal robot ANYmal in outdoor missions of industrial inspection (autonomous robot for gas and oil sites [ARGOS] challenge) and search and rescue (European Robotics League (ERL) Emergency Robots) ...

2018

Monitoring geomorphological changes due to debris flows in mountain rivers using UAV: exploiting similarities between Alpine and Andean regions.

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Definition of proper methodologies for unmanned aerial vehicle (UAV) to monitor debris flows will be done in two workshops: one in each participant institution. The objective is to do field demonstrations and measurements to exploit similarities between Al ...

2018

Accuracy Prediction in Aerial Mapping

Laurent Valentin Jospin

Low cost and low weight unmanned aerial vehicle (UAV) systems with imaging capability have enjoyed a rapid development over the past years and are increasingly deployed as carriers for mapping purposes. They present a well-established tool for local-area r ...

2017

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Pascal Fua, Engin Türetken, Raphael Sznitman, Agata Justyna Mosinska, Jan Kybic, Przemyslaw Rafal Glowacki, Miguel Amável Dos Santos Pinheiro, Daniel Lebrecht

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously proces ...

2017

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