Much of the innovation occurring in UAV/UAS is taking place at leading research and technical universities around the world.
Universities specializing in drone research are invited to exhibit in the University Pavilion at Commercial UAV Expo. Share your latest research, meet with industry professionals eager to learn of the newest innovations, and find potential collaborators.
Bergische Universität Wuppertal
UAVs could be used for good intentions but also for criminal intent; they could provide greater working efficiency and also represent a new and innovative means for any kind of surveillance or other civil application. In order to guarantee a sensible and useful application of UAVs, operators and users have to work closely together.
To regard the application of UAVs entirely, it is important to identify and present an integrated approach considering above all security aspects. However, the approach considering physical security has two big gaps. On the one hand there is an information gap as there exist multiple different users and the process of creating laws and rules including law enforcement is relatively sluggish.
On the other hand there exists the problem of detecting varying range and speed.
The introduction of an innovative information platform for law enforcement was already focused in recent research projects, but there is no field of application as far as civil security is concerned yet. An integrated security application has to start at the asset and must detect a potential attacker early enough to give time for counter-measures.
Recent evidences show that industrial applications of drones are growing. Manufacturing operations also show high potentials to use drone technology. Yet, there is little research in this area. The objective of this study is twofold. First, we develop typology of industrial applications of drones, and we
discuss benefits and challenges involved. Second, we explore current and potential applications of drones in manufacturing settings, and we discuss practical and conceptual implications. The literature about industrial applications of drones is nascent. For this exploratory study, we apply interviewing
experts. We interview 38 experts in different areas of drone applications from 35 companies.
The REALISE project researches an innovative approach to create a Runway independent automatic launch and landing system for UAVs, utilizing a mobile Ground-based Landing Gear System. Besides significant weight savings on the aircraft and thus improved performance, the user benefits from enhanced infrastructural flexibility and a Short Take-Off and Landing ability.
The project is centered around the Hamburg Aviation Aerospace cluster, the Technical University Hamburg and the RWTH Aachen. Close collaboration with the German Aerospace Center (DLR), Airbus as well as innovative SMEs ensure access to crucial technology, know-how and a customer-focused spirit. For further information, see www.realise.aero.
We will present an approach of adaptive drone mission for optical inspections. In general the flight control is based on a predefined flight path. Therefore points of the flight path are defined by their GPS coordinates and the flight attitude is set. In addition a minimum distance to the object of interest and fundamental restrictions have to be considered. The data of mission sensors and intelligent on-board data processing based on algorithms and powerful hardware are used for adaptive minimum distance control. In addition, an expert system is included in the drone mission, so the flight path will be automatically adapted based on this information.
Demonstration of a SOA indoor localization technology as a novel autonomous ground-vehicle able to follow pre-defined paths succeeding accuracy of ±2cm in spatial coordinates. To this aim, we employ UWB radio system, which continuously communicates with 3+ fixed-located UWB anchors used as refs points, in order to infer its range from each different anchor. The acquired range data are fitted into a trilateration algorithm in order to calculate robot’s position. Extended Kalman-filter algorithms are utilized to remove undesired indications providing increased reliability. A military-grade Inertial Measurement Unit (IMU) is used to acquire the orientation of the robot and correctly navigate over a path.