Full text: Proceedings, XXth congress (Part 3)

anbul 2004 
g, Bonn 
ahren für 
dzision im 
Z, S. and 
tecture for 
C.S. (ed.), 
"roc. of the 
Temporal 
tierung in 
Nr. 52 
cchnischen 
“alculation 
2, pp. 305- 
)rientation 
es of IEEE 
AN AUGMENTED REALITY SYSTEM FOR EARTHQUAKE DISASTER RESPONSE 
Johannes Leebmann 
Institut für Photogrammetrie und Fernerkundung, 
Universität Karlsruhe (TH), Englerstrasse 7, 76128 Karlsruhe, Germany — leebmann@ipf.uni-karlsruhe.de 
TS ThS 19 Urban Modelling, Visualisation and Tracking 
KEY WORDS: Disaster, Earthquakes, Decision Support, LIDAR, Calibration, Tracking, Virtual Reality 
ABSTRACT 
The paper describes the augmented reality system (ARS) developed as part of a disaster management tool of the Collaborative 
Research Centre 461 (CRC461) at the Universität Karlsruhe (TH). An ARS superposes an image of reality with a virtual image that 
extends the visible scenery of reality. Its use in the context of disaster management is to represent different invisible disaster-relevant 
information (humans hidden by debris, simulations of damages and measures) and overlay it with the image of reality. The design of 
such a system is a challenge in many ways, since the system integrates different methods like mapping, photogrammetry, inertial 
navigation and differential GPS. The paper introduces into the problems of earthquake disaster response and motivates the use of an 
ARS. It describes the used hardware components and discusses the data available and necessary for the system to be operational 
under real conditions. The main methods required to construct and use the system are explained. The achieved results are given and 
examined. Finally, some conclusions are drawn and suggestions for future work are given. 
1. INTRODUCTION 
The aim of an augmented reality system (ARS) is to 
superimpose a real-world scenery with a virtual extended 
version of itself in real time. While first works in the field of 
AR reach back to Sutherland (1968) first outdoor applications 
appeared quite late in literature (Feiner, 1997). The driving 
forces for the new possibilities have been on the one hand the 
development of the method of real time kinematic GPS and on 
the other hand the improvement and miniaturisation of 
orientation sensors. Several applications for outdoor augmented 
reality systems have been presented in recent years. In these 
studies, outdoor ARS is used for guiding visitors of a university 
campus (Feiner, 1997), explaining city planning (Piekarski et 
al., 2003) or guiding tourist through archeological sites (Dahne 
et al., 2003). 
The following work wants to encourage the use of an ARS in 
the field of disaster management. The target group of this ARS 
are experts for Search and Rescue (SAR). The ARS is 
developed as a specialised equipment for supporting the 
rescuers that try to find people trapped in the rubble of 
collapsed buildings. The ARS is a part of a disaster 
management tool (DMT) of the Collaborate Research Centre 
461 (CRC461) at the Universität Karlsruhe (TH). The disaster 
management tool is an experimental environment in which new 
methods for disaster prevention and reaction planning can be 
tested. In this context, the ARS component provides a most 
detailed view of the planning information. It represents different 
invisible disaster relevant information and overlays it with the 
reality in the same scale. 
The ARS is particularly suited to communicate knowledge of 
experts of different fields that have to work together. Such a 
situation is described by Hirschberger et al. (2001) for SAR. 
The example illustrates the problems that occur during SAR 
activities: The authors describe the efforts of the fire brigades to 
rescue those trapped in a collapsed building. They report that 
even while there were SAR experts present they could not 
remove the debris themselves but needed hydraulic excavators. 
But, to conduct these excavators special personnel was 
necessary. The conductors of the excavators in contrary did not 
909 
have the knowledge of how to remove the fragments best. Care 
has to be taken that fragments of the ceiling do not break and 
the remaining cavities are not destroyed. This technical 
knowledge has to be made comprehensible. Further more one 
has to communicate how to avoid fine-grained material trickling 
down to cavities underneath. 
The situation shows that means are needed to easily 
communicate knowledge between experts and other personnel. 
In the mentioned case, the superposition of instructions and 
reality could help to guide the operations. The presented 
scenario is an application of an ARS directly after an 
earthquake, for the so-called disaster reaction phase. It should 
be mentioned, that an ARS might be applied in other phases of 
the disaster cycle as explained by the UNO (2004): disaster 
impact, relief, rehabilitation, reconstruction, mitigation and 
preparedness. In the preparing phase before an event the helpers 
could be trained with simulated damage situations displayed by 
an ARS. Another important measure to get prepared for a 
possible event is to establish consciousness in the population 
for the risks they are living with. Simulated damages 
superposed with reality could be a tool to show these risks. By 
doing this, it could improve the readiness to spend money for 
preparedness measures e.g. to strengthen the buildings and in 
that way to reduce the number of victims. 
2. HARDWARE COMPONENTS 
In principle, a mobile ARS consists of devices for measuring 
position and orientation, computing the virtual scene, 
displaying the combined result and, eventually, a digital video 
camera to capture the images of the reality. 
For position tracking differential GPS is used. Real time 
kinematic differential GPS involves the co-operation of two 
GPS receivers. One receiver is stationary, another moving. The 
stationary receiver is positioned at a known location. The 
moving receiver (rover) collects the measurements needed to 
calculate the current position. The accuracy of the calculated 
position is improved by correction data computed by the 
stationary receiver. In the case of real time kinematic GPS the 
correction data has to be sent to the rover continuously to 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.