Title :
An efficient collision detection methodology for virtual assembly
Author :
Su, Chuan-Jun ; Fu-Hua, Lin ; Zhang, Xiao-ke
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Abstract :
In the virtual assembly system, components are displayed and manipulated in a 3D environment using virtual reality interface technology. To reflect the real world constraint that more than one object cannot occupy the same space, a real time manipulation of component models in virtual assembly space requires a real time collision detection. In this paper, an efficient collision detection methodology using a collision class classification approach is presented.
Keywords :
assembling; production engineering computing; real-time systems; user interfaces; virtual reality; 3D environment; collision class classification; collision detection methodology; real time manipulation; user interface; virtual assembly; virtual reality; Application software; Assembly systems; Face detection; Industrial engineering; Object detection; Research and development management; Space technology; Testing; Virtual reality; Visualization;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.725436