NDLI: Real-Time Scalable Motion Planning for Crowds

Content Provider	IEEE Xplore Digital Library
Author	Morini, Fiorenzo Yersin, Barbara Ma¿ým, Jonathan Thalmann, Daniel
Copyright Year	2007
Abstract	Real-time crowd motion planning requires fast, realistic methods for path planning as well as obstacle avoidance. The difficulty to find a satisfying trade-off between efficiency and believability is particularly challenging, and prior techniques tend to focus on a single approach. In this paper, we present a hybrid architecture to handle the path planning of thousands of pedestrians in real time, while ensuring dynamic collision avoidance. The scalability of our approach allows to interactively create and distribute regions of varied interest, where motion planning is ruled by different algorithms. Practically, regions of high interest are governed by a long-term potential field-based approach, while other zones exploit a graph of the environment and short-term avoidance techniques. Our method also ensures pedestrian motion continuity when switching between motion planning algorithms. Tests and comparisons show that our architecture is able to realistically plan motion for many groups of characters, for a total of several thousands of people in real time, and in varied environments.
Starting Page	144
Ending Page	151
File Size	1536218
Page Count	8
File Format	PDF
ISBN	9780769530055
DOI	10.1109/CW.2007.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-24
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Path planning Computer architecture Layout Testing Computational modeling Virtual reality Laboratories Collision avoidance Scalability Chaos
Content Type	Text
Resource Type	Article

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