DocumentCode
870160
Title
Ribbon networks for modeling navigable paths of autonomous agents in virtual environments
Author
Willemsen, P. ; Kearney, J.K. ; Wang, H.
Author_Institution
Dept. of Comput. Sci., Minnesota Univ., Duluth, MN
Volume
12
Issue
3
fYear
2006
Firstpage
331
Lastpage
342
Abstract
This paper presents the environment description framework (EOF) for modeling complex networks of intersecting roads and pathways in virtual environments. EOF represents information about the layout of streets and sidewalks, the rules that govern behavior on roads and walkways, and the locations of agents with respect to navigable structures. The framework serves as the substrate on which behavior programs for autonomous vehicles and pedestrians are built. Pathways are modeled as ribbons in space. The ribbon structure provides a natural coordinate frame for defining the local geometry of navigable surfaces. EOF includes a powerful runtime interface supported by robust and efficient code for locating objects on the ribbon network, for mapping between Cartesian and ribbon coordinates, and for determining behavioral constraints imposed by the environment
Keywords
computational geometry; computer animation; software agents; virtual reality; Cartesian coordinates; autonomous agents; behavior program; behavioral constraints; environment description framework; local geometry; navigable path modeling; ribbon networks; virtual environment; Animation; Autonomous agents; Complex networks; Geometry; Intelligent networks; Remotely operated vehicles; Road vehicles; Robustness; Shape; Virtual environment; Virtual reality; and virtual realities; artificial; augmented; model development; specialized application language.; visual; Algorithms; Computer Graphics; Computer Simulation; Ecosystem; Image Interpretation, Computer-Assisted; Models, Theoretical; Transportation; User-Computer Interface;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2006.53
Filename
1608020
Link To Document