Graphics Programming: Collision Detection
Broad-Phase Collision Detection with CUDA
LCP Algorithms for Collision Detection Using CUDA
Fast N-Body Simulation with CUDA
Lars Nyland, Mark Harris (NVIDIA Corporation), Jan Prins (University of North Carolina at Chapel Hill)|
GPU Gems 3
Collision Detection Shader Using Cube-Maps
Sphere Trees for Speedy BSPs
Using the Covariance Matrix for Better-Fitting Bounding Objects
Fast Contact Reduction for Dynamics Simulation
Fast Collision Detection for 3D Bones-Based Articulated Characters
Considerations for Movement and Physics in MMP Games
Collision Detection of Deformable Volumetric Meshes
Recursive Dimensional Clustering: A Fast Algorithm for Collison Detection
Abstract: The article presents an algorithm and demonstration application that manages thousands of objects in motion that are continuously maintained as a collection of hierarchical bounding spheres in a SphereTree. The design goal for this algorithm has been to make the 99-percentile case spend almost no CPU time updating an object in motion within the tree structure. Queries against the SphereTree perform more tests than other data structures, but this is mitigated by the fact that the tree can be maintained using very little CPU time. This data structure is ideally suited for gross culling of massive numbers of moving objects in a large world space. It doesn't matter if the objects are moving at widely disparate speeds, or even if many of them are not in motion at all. It also has a very low cost when objects are inserted and removed from the tree with great frequency.
Sphere Trees for Fast Visibility Culling, Ray Tracing, and Range Searching
Abstract: The axis-aligned bounding box (AABB) tree structure has proven to be very useful for accelerating intersection queries on sets of geometry. The data structure is easy to implement, the built structure is numerically well conditioned, and like all binary trees, they have O(log n) search time. This article explains several techniques that can be used to lower the overall memory footprint of an AABB tree to 11 bytes per triangle.
Compressed Axis-Aligned Bounding Box Trees
Abstract: This article presents a general-purpose optimization for quadtree access that improves performance in three ways over the traditional implementations: 1) by eliminating node traversal and the unnecessary cache-misses it causes, 2) by requiring fewer instructions and CPU cycles overall vs. a best case traditional approach, and 3) by doing so in a compact amount of time and with minimal memory accesses regardless of what depth in the tree the target node resides in.
Abstract: This article will help lay the groundwork for building an accurate physics simulation by starting with one of the most crucial parts of a real-time physics engine: 3D collision detection. The two basic algorithms this article covers are: Bounding Sphere Collision Detection and Triangle-to-Triangle Collision Detection.
Direct Access Quadtree Lookup
Abstract: This article describes a method for reducing the number of proximity tests that must be performed for games with large numbers of game objects of varying sizes.
Multi-Resolution Maps for Interaction Detection (Collision Detection)