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Lessons Learned from German Research for USAR
2011 (English)In: IEEE Int. Workshop on Safety, Security and Rescue Robotics (SSRR), 2011Conference paper (Other academic)
Abstract [en]

We present lessons learned in USAR research within the framework of the German research project I-LOV. After three years of development first field tests have been carried out by professionals such as the Rapid Deployment Unit for Salvage Operations Abroad (SEEBA). We present results from evaluating search teams in simulated USAR scenarios equipped with newly developed technical search means and digital data input terminals developed in the I- LOV project. In particular, the “bioradar”, a ground-penetrating radar system for the detection of humanoid movements, a semi-active video probe for rubble pile exploration of more than 10 m length, and the decision support system FRIEDAA were evaluated and compared with conventional search methods. Results of this evaluation indicate that the developed technologies foster advantages in USAR, which are discussed in this paper.

National Category
Robotics
Identifiers
urn:nbn:se:liu:diva-72518 (URN)oai:DiVA.org:liu-72518 (OAI)diva2:459934 (DiVA)
Projects
Artificial Intelligence & Integrated Computer Systems
Note
Winner of the Young Author’s AwardAvailable from2011-11-29 Created:2011-11-28 Last updated:2011-12-06Bibliographically approved

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Hamp, Q.Reindl, L.Kleiner, Alexander
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University of Freiburg
Robotics

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