Stammdaten

CLIC - Closed Loop Integration of Cognition, Communication and Control
Beschreibung: Ziel des CLIC (Closed-Loop Integration of Cognition, Communication and Control) Projekts ist die Integration von Echtzeitbilderfassung und adaptiver Bewegungssteuerung basierend auf synchroner Kommunikation. Die kombinierte Anwendung dieser Bereiche erlaubt innovative Steuerstrategien und Sicherheitsmechanismen, sowie verbesserte Energieeffizienz. Als Beispielanwendung wird ein Kran autonom beweglichen oder stationären Hindernissen ausweichen können. Der Betriebsverlauf soll dadurch nicht beeinträchtigt werden. Die Kombination dieser Komponenten in Echtzeit ermöglicht auch das Beladen eines Fahrzeugs während sich dieses in Bewegung befindet.
Schlagworte: Echtzeit, Eingebettete Systeme, Zeitsynchronisierung, Bildverarbeitung
CLIC - Closed-Loop Integration of Cognition, Communication and Control
Beschreibung: The objective of the CLIC (Closed-Loop Integration of Cognition, Communication and Control) project is to integrate real-time image analysis, adaptive motion control, and synchronous communication between the imaging and control subsystems. Even though advancements are intended in each area, the main innovation of this project lies in their combination, which may result in improved functionality (e.g. better and more efficient control functions), safety (e.g. faster and more appropriate system responses to changes in the environment), and energy efficiency (e.g. optimized trajectory planning). It is envisioned that closed-loop integration of image analysis and embedded motion control in a dynamically changing environment may be significantly enhanced by tight synchronization: The visual analysis of the behaviour of the dynamic environment, realized by a set of distributed synchronized smart cameras, provides the input for adaptive motion control, while knowledge of the controlled object’s position and movements may facilitate more exact and faster image analysis. Thereby, the determinism of time-triggered real-time communication among the subsystems supports more exact prediction of position and dynamics of the environment. The CLIC project will develop and evaluate the subject matter on the conceptual level as well as by experimental investigation: a model crane that can lift and transport objects will be used as test-bed. Equipped with a set of synchronized smart cameras that observe the environment of the crane and provide an additional input to the nonlinear controller, this experimental platform will allow evaluating and testing the quality and efficiency of the proposed methodology. Since the test-bed utilizes mostly readily available and inexpensive components (camera sensors, sensors and motors on the crane, Ethernet-based communication), the results will argue for a wide applicability of the technology even in cost-sensitive markets. In order to achieve a good quality of control, the dead-time of the control loop (i.e., the accumulated latencies of the distributed scene analysis, the communication service and the control-algorithm execution) must be minimized; a design methodology to optimize the quality of control as perceived by the end user will be applied. Furthermore new techniques to improve the robustness of the overall system in the presence of transient failures of the computational units will be applied: by incorporating on-line error-detection, state estimation, and fast dynamic restart the effect of transient outages of a computational unit on the performance of the control loop will be minimized. This CLIC project therefore demonstrates model-based design of advanced control concepts for integrated adaptive embedded real-time control, matching the special focus areas of the next ICT call: Cognition, Communication and Control is a main theme in the EU IST Work-Programme 2009-2010 in Objective ICT-2009.2.1-d, where Integrated Projects (IP) on this topic are envisaged. It is expected that the experiences and results of CLIC will provide the basis for an extensive EU Project Proposal with Austrian leadership on this topic in 2010.
Schlagworte: Real Time, Time Synchronization, Image Processing, Embedded Systems
Kurztitel: n.a.
Zeitraum: 01.12.2008 - 31.12.2010
Kontakt-Email: bernhard.rinner@uni-klu.ac.at
Homepage: http://pervasive.uni-klu.ac.at

MitarbeiterInnen

MitarbeiterInnen Funktion Zeitraum
Bernhard Rinner (intern)
  • Projektleiter/in
  • 01.12.2008 - 31.12.2010
Sandeep Katragadda (extern)
  • Stipendiat/in
  • 01.12.2008 - 31.12.2010
Istvan Fehervari (intern)
  • wiss. Mitarbeiter/in
  • 01.12.2008 - 31.12.2010
Herwig Alois Guggi (intern)
  • Stipendiat/in
  • wiss. Mitarbeiter/in
  • 01.12.2008 - 31.12.2010
  • 01.12.2008 - 31.12.2010
Herwig Alois Guggi (extern)
  • Stipendiat/in
  • 01.12.2008 - 31.12.2010
Umair Ali Khan (extern)
  • Stipendiat/in
  • 01.12.2008 - 31.12.2010

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Grundlagenforschung
  • Angewandte Forschung
Sachgebiete
  • 1108 - Informatik *
  • 2502 - Allgemeine Elektrotechnik *
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz 0%
Projektfokus
  • Science to Science (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Kooperationen

Organisation Adresse
Technische Universität Wien, Automation and Control Institute
Gusshausstrasse 27 - 29
1040  Wien
Österreich
Gusshausstrasse 27 - 29
AT - 1040  Wien
Technische Universität Wien, Institute of Computer Engineering
Treitlstrasse 3/3
1040  Wien
Österreich
Treitlstrasse 3/3
AT - 1040  Wien