Multi-Sensor Measuring System for Deformation

01.01.2006 - 01.11.2008
Research funding project
The increasing number of objects involved in deformation processes in highly populated areas has increased the demand for rapidly working and easily usable deformation measurement systems. This demand is associated with a higher degree of automation of monitoring, analysis and interpretation. For monitoring of an object involved in a deformation process the object and its surrounding has to be modeled, which means dissecting the continuum by discrete points in such a way that the points sufficiently characterize the object, and that the movements of the points represent the movements and distortions of the object. The framework targeted in this project uses two types of sensor systems and/or a combination of them to address the deformation problem: image assisted theodolites (videotheodolites) and raster laser scanners. In a complex measurement system, the selection of a suitable sensor or suitable measurement modes is a highly non-trivial task. To provide user decision support, information about the object respectively the scene has to be collected in an automated way. For this task we suggest cognitive vision techniques. A process which sets up a description of the movements and distortions of the object can be coupled to deformation monitoring, followed by an assessment of the deformation. This process must be outlined in a framework of local-to-global information integration, by grouping locally measured deformation into a more informative deformation pattern. Especially when automatic monitoring is in procedure, the deformation classification can lead to important decisions. Such a measurement system consists of different components: the sensors, a system control component, a system for cognitive vision, a system for deformation analysis and assessment, and the knowledge base. The first phase of the project will contain an extensive analysis of the problem and the knowledge necessary for developing solutions. In the next phase a suitable model for the knowledge-based and cognitive vision system will be investigated. Tests, experiments and evaluations while the whole project phase shall demonstrate the advantages of a deformation measurement system which is supported by knowledge-based and cognitive vision techniques.

People

Project leader

Project personnel

Institute

Grant funds

  • FWF - Österr. Wissenschaftsfonds (National) Austrian Science Fund (FWF)

Research focus

  • Beyond TUW-research focus: 30%
  • Sensor Systems: 40%
  • Environmental Monitoring and Climate Adaptation: 30%

Keywords

GermanEnglish
MultisensorsystemMultisensor System
Wissensbasiertes MesssystemKnowledge-Based-System

External partner

  • Institut für Informationssysteme
  • Joanneum Research Forschungsgesellschaft mbH Insitut für Digitale Bildverarbeitung

Publications