relation: https://khub.utp.edu.my/scholars/1323/
title: Autonomous virtual agent navigation in virtual environments
creator: Jaafar, J.
creator: McKenzie, E.
description: This paper presents a solution for the behavioural animation of autonomous virtual agent navigation in virtual environments. We focus on using Dempster-Shafer's Theory of Evidence in developing visual sensor for virtual agent. The role of the visual sensor is to capture the information about the virtual environment or identifie which part of an obstacle can be seen from the position of the virtual agent. This information is require for vitual agent to coordinate navigation in virtual environment. The virual agent uses fuzzy controller as a navigation system and Fuzzy α - level for the action selection method. The result clearly demonstrates the path produced is reasonably smooth even though there is some sharp turn and also still not diverted too far from the potential shortest path. This had indicated the benefit of our method, where more reliable and accurate paths produced during navigation task.
date: 2010
type: Article
type: PeerReviewed
identifier:   Jaafar, J. and McKenzie, E.  (2010) Autonomous virtual agent navigation in virtual environments.  World Academy of Science, Engineering and Technology, 37.  pp. 594-601.  ISSN 2010376X     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602536&partnerID=40&md5=225a98d362fa201fe7e2d0dd224f7295