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  4. Within-Crowd Immersive Evaluation of Collision Avoidance Behaviors
 
conference paper

Within-Crowd Immersive Evaluation of Collision Avoidance Behaviors

Ahn, Junghyun  
•
Wang, Nan  
•
Thalmann, Daniel  
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2012
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 2012)

In this paper, we first present our crowd simulation method, Trajectory Variant Shift (TVS) based on real pedestrian trajectories re-use. We detail how to re-use and shift these trajectories to avoid collisions while retaining the liveliness of captured data. Second, we conducted a user study in a four-screen CAVE to compare our approach with three others when the subject is standing within the crowd to perform a visual search task (waiting for a specific person). Results confirm that our approach is considered as good as the state of the art regarding subject's spatial awareness within the crowd, and better regarding not only the perceived liveliness of the crowd, but also the comfort in the CAVE.

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Type
conference paper
DOI
10.1145/2407516.2407573
Author(s)
Ahn, Junghyun  
•
Wang, Nan  
•
Thalmann, Daniel  
•
Boulic, Ronan  
Date Issued

2012

Publisher

ACM

Publisher place

New York, NY, USA

Published in
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
ISBN of the book

978-1-4503-1825-9

Series title/Series vol.

VRCAI '12

Start page

231

End page

238

Subjects

Crowd simulation

•

Collision avoidance

•

CAVE

URL

URL

http://www.youtube.com/watch?v=aCRjHBYP4vI
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
VRLAB  
SCI-IC-RB  
Event nameEvent placeEvent date
11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 2012)

Singapore

December 2-4, 2012

Available on Infoscience
January 23, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/88083
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