DocumentCode
2130813
Title
An algebra for efficiently solving the continuous collision detection problem
Author
Fedrowitz, Christian H. ; Düber, Frank
Author_Institution
Inst. for Data Process., Siegen Univ., Germany
Volume
3
fYear
1998
fDate
13-17 Oct 1998
Firstpage
1628
Abstract
An efficient object-oriented collision detection engine has been developed being applicable for complex geometrical models defined constructively and for geometrical primitives which representation base on the widely used boundary representation geometric solid modeler ACIS. An approach, which in a fast pre-processing step reduces the model´s complexity by efficiently eliminating those objects from further examinations which do not collide, has been examined. Principally basing on Cameron´s S-bound theory (1989, 1990), the approach has been improved by the definition of an algebra for bounding operations and has been adapted for use with ACIS. A new method for solving the continuous collision detection problem is presented offering an algebra on the four-dimensional S-bounds also defined by Cameron
Keywords
collision avoidance; computational complexity; mobile robots; object-oriented methods; process algebra; ACIS; S-bound theory; algebra; boundary representation geometric solid modeler; complex geometrical models; continuous collision detection problem; efficient object-oriented collision detection engine; fast pre-processing step; geometrical primitives; Algebra; Computational modeling; Convergence; Data processing; Hardware; Lattices; Object detection; Object oriented modeling; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-4465-0
Type
conf
DOI
10.1109/IROS.1998.724831
Filename
724831
Link To Document