eprintid: 1295
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/95
datestamp: 2023-11-09 15:49:27
lastmod: 2023-11-09 15:49:27
status_changed: 2023-11-09 15:39:25
type: article
metadata_visibility: show
creators_name: Jaafar, J.
creators_name: McKenzie, E.
title: Dempster-Shafer's approach for autonomous virtual agent navigation in virtual environments
ispublished: pub
keywords: Action selection; Dempster-shafer; Demster Shafer; Fuzzy controllers; Navigation in virtual en-vironments; Navigation tasks; Shortest path; Virtual agent; Virtual environments; Visual sensor; Theory of evidence, Animation; Fuzzy systems; Navigation; Navigation systems; Sensors; Virtual reality; Agents; Fuzzy logic, Fuzzy logic; Virtual reality
note: cited By 1
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651595193&partnerID=40&md5=a6b707ef8f23767bd4c582e8aecf4b54
full_text_status: none
publication: World Academy of Science, Engineering and Technology
volume: 62
pagerange: 389-393
refereed: TRUE
issn: 2010376X
citation:   Jaafar, J. and McKenzie, E.  (2010) Dempster-Shafer's approach for autonomous virtual agent navigation in virtual environments.  World Academy of Science, Engineering and Technology, 62.  pp. 389-393.  ISSN 2010376X