DocumentCode
2840261
Title
A Hierarchical Collision Detection Algorithm for VA
Author
Wu, Meiping ; Shi, Liyun ; Ren, Zhijun
Author_Institution
Sch. of Mech. Eng., Jiangnan Univ., Wuxi, China
fYear
2010
fDate
26-28 May 2010
Firstpage
4315
Lastpage
4319
Abstract
This paper presents a Hierarchical Collision Detection Algorithm that is suitable for VA (Virtual Assembly). The proposed algorithm includes three level approaches which are preliminary detection, second detection and precision detection. The surround box approach was used for the preliminary detection, which can preclude a lot of detached part, and the detection quantity was reduced greatly. If two parts may collide or interfere, then, calculate the intersection region and storage the result in surround box S. The vector judgment approach was used to the second detection, which can reduce the half calculation working. The net-facet approach was utilized for the precision detection, which can quick calculate the opposite location of two parts. If they intersect we can get the intersection measure, otherwise, the nearest point or minimum distance between them can be got. By the algorithm, the calculation speed and detection accuracy are improved greatly and thereby can help in creation of the optimal assembly sequence quickly in virtual assembly environment.
Keywords
assembling; vectors; virtual prototyping; virtual reality; VA; hierarchical collision detection algorithm; net-facet approach; precision detection; preliminary detection; second detection; surround box approach; vector judgment approach; virtual assembly; Algorithm design and analysis; Assembly systems; Computational geometry; Detection algorithms; Mechanical engineering; Object detection; Process planning; Virtual environment; Virtual prototyping; Virtual reality; Assembly Process Modeling; Assembly Sequence Planning; Collision Detection Algorithm; Virtual Environment (VE); Virtual Reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498377
Filename
5498377
Link To Document