- #Cocomo model for unmanned aerial vehicle how to#
- #Cocomo model for unmanned aerial vehicle full#
- #Cocomo model for unmanned aerial vehicle verification#
The main objective of RiSPECT is to come up with the foundations behind an automated system for estimating the quality of riblet surfaces based on image data that reduces the overall costs for quality assurance measures within the riblet surface maintenance. This will increase the robustness of the overall application.
#Cocomo model for unmanned aerial vehicle how to#
In particular, the focus will be on how to prevent small image changes that lead to misclassification and erroneous quality predictions.
#Cocomo model for unmanned aerial vehicle verification#
The images stored in a database rely on EASA certified riblet test bench, high precise SEM pictures and CFD simulations.īecause of the fact that machine learning applications based on neural networks are vulnerable, verification & validation becomes a critical issue of RiSPECT. The proposed approach makes use of example images obtained from available riblet surfaces and simulations for this purpose.īecause of the need for having a larger number of labelled images comprising riblet surfaces with and without defects, RiSPECT will provide a database of such images that are acquired using a tailored machine vision system to be developed as part of the project. RiSPECT proposes to apply machine learning and in particular deep neural networks for classifying and predicting the quality of riblet surfaces for the first time. Thus, there is a need for easy to use and inexpensive inspection devices allowing to estimate the riblet surface’s properties during maintenance processes on several applications (aircrafts, wind turbines, etc.). Unfortunately, the current inspection processes being used are very timeand cost- intensive. Therefore, it is very important to make use of special inspection equipment in order to assure the quality of the riblet surface in terms of their expected reduced drag behavior. Efficiency gains depend on the quality of the riblet surface. In the last ten years industry did massive investments in the development, production and application of riblet surfaces. Therefore, riblet surfaces can save fuel consumption substantially in industrial applications like aircrafts and high-speed trains or to increase energy output of wind turbines and lower noise emission. Micro-structured surfaces (riblet surfaces) reduce drag, and as a consequence, allow increasing efficiency in various flow applications. Research topics of our group are: robust abstarct control for mobileĪutonomous systems and sensor-based navigation. Name "Robust Intelligent Control for Autonomous Systems". Wide area of domains and for various tasks.
Our group concentrates its work on flexible, symbol-basedĪnd robust approaches for the control of autonomous mobile robots in a Therefore, hardly any group is able to achieve high quality research inĪll topics. As mentioned above research in the field ofĪutonomous mobile robots is a very interdisciplinary and wide area. Furthermore, approachesĭeveloped in the MSL will find their way to applications in otherĭomains like service robots. Tackled in order to solve the RoboCup challenge. Navigation, sensor fusion, vision-based perception, automatic reasoning,Īnd mechanical design, to name only a few. Research disciplines including multi-robot cooperative teams, autonomous The MSL provides a serious challenge for many In the Middle Size League (MSL) teams of fullyĪutonomous robots with a size of up to 50cm x 50cm x 80 cm play soccerĪgainst each other.
Intelligence, robotics, image processing, system engineering and Test-bed for evaluation of various research, e.g.
#Cocomo model for unmanned aerial vehicle full#
The Robot Soccer World Cup (known as the RoboCup) Games and ConferencesĪre a series of competitions and events designed to promote the full