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Sperical UAV: Crash Test with 1/2 liter bottle from 2 meters
The video shows the first test of a small spherical UAV (35 cm) with 4 rotors for missions in complex environments such as buildings, caves or tunnels. The spherical design protects the vehicle's internal components and allows the UAV to roll over the ground when the environment allows. The drone can land and take off in any position and come into contact with objects without endangering the propellers and can restart even after crashes.
Problem
- How to effectively use aerial robots to support rescue forces?
- How to achieve good flight characteristics and long flight times?
- How to enable simple and intuitive control?
- How to efficiently record image data of the environment?
- How to generate flight and image data for rescue forces?
Implementation:
The flying robot was designed in Autodesk Fusion360. In order to achieve high stability as well as low weight, the frame was milled from carbon. Mounts such as for GPS and 360° camera were 3D printed. A special feature is that the flying robot is not visible in the panoramic view of the 360° camera. The flight controller of the robot was set up using Ardupilot. The communication with the robot is done via MAVLink (UDP).To support different platforms, a software was realized as a web application. The front end was created using HTML, CSS and Javascript.
The back end is based on Flask-Socket-IO (Python). For the intelligent recognition of motor vehicles a micro controller with an integrated camera is used. For the post-processing of flight and video data a pipeline was implemented for automation.
Hintergrund
Während der SARS-CoV-2-Pandemie ist es vorrangig, die Mitarbeiter vor Infektionsrisiken zu schützen und die Geschäftstätigkeit zu sichern. Neue Virusvarianten mit erhöhter Ansteckungsgefahr erfordern eine weiterentwickelte Risikostrategie.
Material und Methoden
Mehrere Standardmaßnahmen wie Tests, Isolierung und Quarantäne werden zu einer neuartigen Risikostrategie kombiniert. Epidemiologische Modellrechnungen und wissenschaftliche Erkenntnisse über den Verlauf der SARS-CoV-2-Infektiosität werden zur Optimierung dieser Strategie herangezogen. Das Verfahren ist in einem einfach zu bedienenden Rechner auf Excel-Basis implementiert.
Aufbau in der Praxis und Ergebnisse
Alternative Maßnahmenkombinationen und praktische Aspekte werden erörtert. Anhand von Beispielrechnungen wird die Wirkung der diskutierten Maßnahmen demonstriert.
Schlussfolgerung
Der aus diesen Grundlagen abgeleitete Quarantäne-Rechner ermöglicht es auch Nicht-Fachleuten, eine differenzierte Risikoanalyse durchzuführen und optimierte Maßnahmen einzuleiten. Gezielte Prüfroutinen und alternative Maßnahmen sichern die Personalverfügbarkeit.
360° Camera at a small UAV
(2021)
Durch Panoramen in Kombination mit dem ORB-SLAM ist ein schnelles Tracking möglich, liefert jedoch ausschließlich spärliche Daten. Durch die Kombination mit einem neuronalen Netz soll der SLAM Algorithmus zu einem RGBD-SLAM erweitert werden, um ein besseres Tracking und eine dichtere Punktwolke zu gewährleisten.
At the beginning of the pandemic in Feb. 2020 I had a little time and wanted to do something new i.e. bring my 3D printer, AI and computer science together somehow. The result is a printed portrait with a lot of computer science. Using style transfer I transferred the etching style of a Göthe portrait to a young girl I call Carolin. By means of image processing I made a black and white picture out of it. Then, using the problem of the traveling salesman, each black point in the picture is interpreted as a city and the whole picture is drawn by only one line. Since this line is very long, it is optimized and shortened by a so-called simulated annealing algorithm. The result is printed in 5 layers on a 3D printer.
This technical report is about the architecture and integration of very small commercial UAVs (< 40 cm diagonal) in indoor Search and Rescue missions. One UAV is manually controlled by only one single human operator delivering live video streams and image series for later 3D scene modelling and inspection. In order to assist the operator who has to simultaneously observe the environment and navigate through it we use multiple deep neural networks to provide guided autonomy, automatic object detection and classification and local 3D scene modelling. Our methods help to reduce the cognitive load of the operator. We describe a framework for quick integration of new methods from the field of Deep Learning, enabling for rapid evaluation in real scenarios, including the interaction of methods.
This technical report is about the mission and the experience gained during the reconnaissance of an industrial hall with hazardous substances after a major fire in Berlin. During this operation, only UAVs and cameras were used to obtain information about the site and the building. First, a geo-referenced 3D model of the building was created in order to plan the entry into the hall. Subsequently, the UAVs were used to fly in the heavily damaged interior and take pictures from inside of the hall. A 360° camera mounted under the UAV was used to collect images of the surrounding area especially from sections that were difficult to fly into. Since the collected data set contained similar images as well as blurred images, it was cleaned from non-optimal images using visual SLAM, bundle adjustment and blur detection so that a 3D model and overviews could be calculated. It was shown that the emergency services were not able to extract the necessary information from the 3D model. Therefore, an interactive panorama viewer with links to other 360° images was implemented where the links to the other images depends on the semi dense point cloud and located camera positions of the visual SLAM algorithm so that the emergency forces could view the surroundings.
Die wechselseitigen Beeinflussungen zwischen Werbungtreibenden und Journalist*innen werden auf Basis der empirischen Synchronisationsforschung dargestellt – mit Schwerpunkt auf Einflüsse durch Sonderwerbeformen der Online-Kommunikation. Die Argumentation richtet sich gegen eine Intensivierung der Beeinflussungsversuche. Sie spricht sich für kooperative und gekennzeichnete Produktentwicklungen aus, die zentrale Determinanten wie Personae oder Markenimages des beworbenen Produkts und des Mediums berücksichtigen. So wird der Trennungsgrundsatz eingehalten und der Charakter publizistischer Massenmedien respektiert.