Supporting Urban Search & Rescue Mission Planning through Visualization-Based Analysis
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{10.2312:vmv.20141275,
booktitle = {Vision, Modeling & Visualization},
editor = {Jan Bender and Arjan Kuijper and Tatiana von Landesberger and Holger Theisel and Philipp Urban},
title = {{Supporting Urban Search & Rescue Mission Planning through Visualization-Based Analysis}},
author = {Bock, Alexander and Kleiner, Alexander and Lundberg, Jonas and Ropinski, Timo},
year = {2014},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-74-3},
DOI = {10.2312/vmv.20141275}
}