DocumentCode
2330047
Title
Collision detection with improved algorithm based on k-dop
Author
Gao Mingxiang ; Dingfang, Chen
Author_Institution
Res. Inst. of Intell. Manuf. & Control, Wuhan Univ. of Technol., Wuhan
fYear
2009
fDate
25-27 May 2009
Firstpage
102
Lastpage
105
Abstract
In this thesis, a new k-dop-based algorithm is presented to detect collisions between two flying objects in virtual environment (VE). The core of our algorithm is that, we build environment bounding volume tree (BVT) for each leaf nodes of flying BVT. When checking for overlaps between two leaf nodes NA and NB of two flying BVTs, we perform the overlap test between NB and the environment BVT of NA with the popular k-dop-based but updated algorithm at first. With the test, a set T of triangles intersecting with the bounding volume of NA is setup quickly, these triangles are all from NB. Then check the overlap pairs between triangles in NA and triangles in set T with triangle-triangle overlap test. Comparing with the method directly using triangle-triangle overlap test for two flying leaf nodes, our algorithm can fast exclude the non-overlap triangles. With the new algorithm, fast and exact collision detection in VE consisting of multi flying objects has also been implemented.
Keywords
computational geometry; trees (mathematics); virtual reality; collision detection; environment bounding volume tree; flying objects; improved algorithm; k-dop-based algorithm; leaf nodes; nonoverlap triangles; triangle-triangle overlap test; virtual environment; Algorithm design and analysis; Intelligent control; Manufacturing; Niobium; Object detection; Performance evaluation; Slabs; Solid modeling; Testing; Virtual environment; collision detection; environment object; flying object; k-dop;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138178
Filename
5138178
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