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Live path: adaptive agent navigation in the interactive virtual world

Authors
Kang, Shin-JinKim, YongOKim, Chang-Hun
Issue Date
6월-2010
Publisher
SPRINGER
Keywords
Agent navigation; Virtual world; Pathfinding; Navigation mesh
Citation
VISUAL COMPUTER, v.26, no.6-8, pp.467 - 476
Indexed
SCIE
SCOPUS
Journal Title
VISUAL COMPUTER
Volume
26
Number
6-8
Start Page
467
End Page
476
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116403
DOI
10.1007/s00371-010-0457-7
ISSN
0178-2789
Abstract
We present a novel approach to adaptive navigation in the interactive virtual world by using data from the user. Our method constructs automatically a navigation mesh that provides new paths for agents by referencing the user movements. To acquire accurate data samples from all the user data in the interactive world, we use the following techniques: an agent of interest (AOI), a region of interest (ROI) map, and a discretized path graph (DPG). Our method enables adaptive changes to the virtual world over time and provides user-preferred path weights for smart-agent path planning. We have tested the usefulness of our algorithm with several example scenarios from interactive worlds such as video games. In practice, our framework can be applied easily to any type of navigation in an interactive world. In addition, it may prove useful for solving previous pathfinding problems in static navigation planning.
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