Supporting Urban Search & Rescue Mission Planning through Visualization-Based Analysis
2014 (English)In: Proceedings of the Vision, Modeling, and Visualization Conference 2014, 2014Conference paper (Refereed)
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
IdentifiersURN: urn:nbn:se:liu:diva-117772DOI: 10.2312/vmv.20141275ISBN: 978-3-905674-74-3OAI: oai:DiVA.org:liu-117772DiVA: diva2:810810
Vision, Modeling, and Visualization
FundereLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterSwedish Research Council, 2011-4113