Improved collision detection in StarLogo Nova
Author(s)
Bajekal, Divya (Divya Sanjay)
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Eric Klopfer.
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StarLogo Nova is blocks-based educational software that allows students to write and play their own 3D games online. It is the online version of StarLogo TNG. This thesis explores the problem of needing more accurate collision detection in StarLogo Nova while maintaining reasonable performance. Three new collision detection systems for StarLogo Nova are developed and evaluated. Compared to the spheres used to perform collision checks in the current system, the first new system, called the TightestFitCollider, introduces a variety of bounding spheres, bounding boxes, and bounding capsules as bounding structures that may fit the models in StarLogo Nova more closely. The second system, called the HierarchicalCollider, uses hierarchies of bounding boxes to perform even more precise collision detection than the TightestFitCollider. Finally, the third system combines the first two systems, so that the advantages of each can be used as appropriate. The three systems are evaluated for their accuracy and performance within the StarLogo Nova framework.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (page 65).
Date issued
2015Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.