Synthetic vision for road traffic simulation in a virtual environment

Authors:
Wen Tang;Tao Ruan Wan
Affiliations:
School of Computing and Mathematics, University of Teesside, Middlesbrough, TS1 3BA, UK;Department of Electronic Imaging and Media Communications, School of Informatics, University of Bradford, Bradford BD7 1DP, UK
Venue:
Intelligent agents for mobile and virtual media
Year:
2002

Citing 4
Cited 0

Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Artificial fishes: physics, locomotion, perception, behavior

SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Go with the flow: synthetic vision for autonomous animated creatures

AGENTS '97 Proceedings of the first international conference on Autonomous agents
Old tricks, new dogs: ethology and interactive creatures

Old tricks, new dogs: ethology and interactive creatures

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this chapter, we describe a method of using synthetic vision for road traffic simulation in a 3D virtual environment. We have implemented the synthetic vision techniques to cater for the dynamical features of the road traffic scenario by presenting an algorithm that is incorporated in the system to estimate the motion distributions of the scene at each animation frame. Multiple visual fields have been used to adjust and evaluate the driving conditions. Autonomous virtual vehicles in our system can make decisions based on a perceptual approach.