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A Visualization-Based Analysis System for Urban Search & Rescue Mission Planning Support
Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2849-6146
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
iRobot, CA USA.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
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2017 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 36, no 6, 148-159 p.Article in journal (Refereed) Published
Abstract [en]

We propose a visualization system for incident commanders (ICs) in urban searchandrescue scenarios that supports path planning in post-disaster structures. Utilizing point cloud data acquired from unmanned robots, we provide methods for the assessment of automatically generated paths. As data uncertainty and a priori unknown information make fully automated systems impractical, we present the IC with a set of viable access paths, based on varying risk factors, in a 3D environment combined with visual analysis tools enabling informed decision making and trade-offs. Based on these decisions, a responder is guided along the path by the IC, who can interactively annotate and reevaluate the acquired point cloud and generated paths to react to the dynamics of the situation. We describe visualization design considerations for our system and decision support systems in general, technical realizations of the visualization components, and discuss the results of two qualitative expert evaluation; one online study with nine searchandrescue experts and an eye-tracking study in which four experts used the system on an application case.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 36, no 6, 148-159 p.
Keyword [en]
urban search and rescue decision support application
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-140952DOI: 10.1111/cgf.12869ISI: 000408634200009OAI: oai:DiVA.org:liu-140952DiVA: diva2:1142423
Note

Funding Agencies|Excellence Center at Linkoping and Lund in Information Technology; Swedish e-Science Research Centre; VR grant [2011-4113]

Available from: 2017-09-19 Created: 2017-09-19 Last updated: 2017-10-05

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The full text will be freely available from 2018-04-15 15:57
Available from 2018-04-15 15:57

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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