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Supporting Urban Search & Rescue Mission Planning through Visualization-Based Analysis
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Scientific Visualization Group)ORCID iD: 0000-0002-2849-6146
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2014 (English)In: Proceedings of the Vision, Modeling, and Visualization Conference 2014, Eurographics - European Association for Computer Graphics, 2014Conference paper, Published paper (Refereed)
Abstract [en]

We propose a visualization system for incident commanders in urban search~\&~rescue scenarios that supports access path planning for post-disaster structures. Utilizing point cloud data acquired from unmanned robots, we provide methods for assessment of automatically generated paths. As data uncertainty and a priori unknown information make fully automated systems impractical, we present a set of viable access paths, based on varying risk factors, in a 3D environment combined with the visual analysis tools enabling informed decisions and trade-offs. Based on these decisions, a responder is guided along the path by the incident commander, who can interactively annotate and reevaluate the acquired point cloud to react to the dynamics of the situation. We describe design considerations for our system, technical realizations, and discuss the results of an expert evaluation.

Place, publisher, year, edition, pages
Eurographics - European Association for Computer Graphics, 2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-117772DOI: 10.2312/vmv.20141275ISBN: 978-3-905674-74-3 (print)OAI: oai:DiVA.org:liu-117772DiVA: diva2:810810
Conference
Vision, Modeling, and Visualization
Projects
ELLIIT; VR; SeRC
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterSwedish Research Council, 2011-4113
Available from: 2015-05-08 Created: 2015-05-08 Last updated: 2017-03-17Bibliographically approved

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Bock, AlexanderKleiner, AlexanderLundberg, JonasRopinski, Timo

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