1 / 14

CS 326A: Motion Planning

CS 326A: Motion Planning. ai.stanford.edu/~latombe/cs326/2007/index.htm Collision Detection and Distance Computation. Two Main Approaches. Hierarchical bounding volume hierarchies (pre-computation) Feature tracking (pairs of closest features). Bounding Volume Hierarchy Method.

nani
Download Presentation

CS 326A: Motion Planning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CS 326A: Motion Planning ai.stanford.edu/~latombe/cs326/2007/index.htm Collision Detectionand Distance Computation

  2. Two Main Approaches • Hierarchical bounding volume hierarchies (pre-computation) • Feature tracking (pairs of closest features)

  3. Bounding Volume Hierarchy Method • Enclose objects into bounding volumes (spheres or boxes) • Check the bounding volumes first

  4. Bounding Volume Hierarchy Method • Enclose objects into bounding volumes (spheres or boxes) • Check the bounding volumes first • Decompose an object into two

  5. BVH in 3D

  6. Collision Detection Methods • Bounding Volume Hierarchy (BVH) methods: Good for few moving objects with complex geometry • Feature-Tracking methods: Good for few objects with moderate geometric complexity

  7. Probabilistic Roadmaps Few moving objects,but complex geometry

  8. Static vs. Dynamic Collision Checking C-space

  9. Combining Bounding Volume and Feature Tracking Methods • S.A. Ehmann and M.C. Lin. Accurate and Fast Proximity Queries Between Polyhedra Using Convex Surface Decomposition. Proc. 2001 Eurographics, Vol. 20, No. 3, pp. 500-510, 2001.  Use BVH to quickly identify close pairs of polyhedra  Use feature-tracking to check these pairs

  10. Combining Bounding Volume and Feature Tracking Methods • T.Y. Li and J.S. Chen. 1998. Incremental 3D Collision Detection with Hierarchical Data Structures,Proc. ACM Symp. on Virtual Reality Software and Technology, p.139-144, Taipei, Taiwan

  11. Collision Detection Methods • Bounding Volume Hierarchy (BVH) methods: good for few moving objects with complex geometry • Feature-Tracking methods: Good for few objects with moderate geometric complexity • Grid method: Good for many simple moving objects of about the same size (e.g., many moving discs/balls with similar radii)

  12. Crowd Simulation Many moving objects, but simple geometry (discs) Need to also compute distances (vision, sounds)

  13. d Grid Method • Subdivide space into a regular grid cubic of square bins • Index each object in a bin

  14. d Grid Method Running time is proportional tonumber of moving objects

More Related