Please use this identifier to cite or link to this item:
doi:10.22028/D291-25694
Title: | Echtzeitfaehige Kollisionserkennung für Virtual Reality Anwendungen |
Author(s): | Eckstein, Jens |
Language: | German |
Year of Publication: | 1999 |
SWD key words: | Virtuelle Realität ; Kollisionsschutz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Dissertation |
Abstract: | This thesis deals with the problem of collision detection for Virtual Reality applications. It focuses on dynamic collision detection using bounding object hierarchies, which enables the collision detection to be used in geometric complex scenes together with further simulation systems, e.g. contact or dynamics simulation systems. Known techniques for collision detection using bounding object hierarchies are only used with static collision detection so far. We modify known algorithms for the computation of bounding object hierarchies and we develop new ones. Furthermore methods are developed to integrate bounding object hierarchies within a process of dynamic collision detection. Those mehtods together with space partitioning and time critical collision detection are combined to a system for dynamic collision detection. The performance of the methods is shown using examples for fitting simulations from automotive industry. |
Link to this record: | urn:nbn:de:bsz:291-scidok-1794 hdl:20.500.11880/25750 http://dx.doi.org/10.22028/D291-25694 |
Advisor: | Günter Hotz |
Date of oral examination: | 24-Feb-1999 |
Date of registration: | 1-Apr-2004 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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JensEckstein_ProfDrGuenterHotz.pdf | 3,85 MB | Adobe PDF | View/Open |
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