TY  - JOUR
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602536&partnerID=40&md5=225a98d362fa201fe7e2d0dd224f7295
JF  - World Academy of Science, Engineering and Technology
A1  - Jaafar, J.
A1  - McKenzie, E.
VL  - 37
EP  - 601
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; Theory of evidence; Virtual agent; Visual sensor
KW  -  Agents; Animation; Fuzzy logic; Navigation; Navigation systems; Sensors
KW  -  Virtual reality
TI  - Autonomous virtual agent navigation in virtual environments
SP  - 594
ID  - scholars1323
AV  - none
ER  -