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T. Vicovac, A. Reiterer, U. Egly, T. Eiter, D. Rieke-Zapp:
"Intelligent Deformation Interpretation";
Talk: Second International Workshop on Application of Artificial Intelligence and Innovations in Engineering Geodesy (AIEG 2010), Braunschweig; 2010-06-16; in: "Application of Artificial Intelligence and Innovations in Engineering Geodesy (AIEG 2010)", A. Reiterer, U. Egly, M. Heinert, B. Riedel (ed.); (2010), ISBN: 978-3-9501492-6-5; 10 - 20.

Rockfalls and landslides are major types of natural hazards worldwide that kill or injure a
large number of individuals and cause very high costs every year. Risk assessment of such
dangerous events requires an accurate evaluation of the geology, hydrogeology, morphology
and interrelated factors such as environmental conditions and human activities. It is of particular
importance for engineers and geologists to assess slope stability and dynamics in order
to take appropriate, effective and timely measures against such events. This paper presents
a decision-tool for geo-risk assessment on the basis of a knowledge-based system. The integration
of such a tool with novel measurement sensors into an advanced system for geo-risk
monitoring, which performs data fusion on-line, is innovative. To enable such a system, a
knowledge base capturing domain knowledge formally is developed, which to the best of our
knowledge is unprecedented; the completed part for initial risk assessment works quite well,
as extensive experiments with a number of human experts have shown.

Knowledge-Based System, Alerting System, Rockfall and Landslide Monitoring

Project Head Alexander Reiterer:
i-MeaS - Ein intelligentes bildgestütztes Messsystem für die Überwachung von Felsstürzen