TY  - JOUR
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651595193&partnerID=40&md5=a6b707ef8f23767bd4c582e8aecf4b54
A1  - Jaafar, J.
A1  - McKenzie, E.
JF  - World Academy of Science, Engineering and Technology
VL  - 62
EP  - 393
Y1  - 2010///
SN  - 2010376X
N1  - cited By 1
N2  - 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.
KW  - 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
KW  -  Animation; Fuzzy systems; Navigation; Navigation systems; Sensors; Virtual reality; Agents; Fuzzy logic
KW  -  Fuzzy logic; Virtual reality
TI  - Dempster-Shafer's approach for autonomous virtual agent navigation in virtual environments
SP  - 389
ID  - scholars1295
AV  - none
ER  -