A benchmarking suite for 6-DOF real time collision response algorithms

Authors:
Rene Weller;Mikel Sagardia;David Mainzer;Thomas Hulin;Gabriel Zachmann;Carsten Preusche
Affiliations:
Clausthal University, Germany;German Aerospace Center (DLR);Clausthal University, Germany;German Aerospace Center (DLR);Clausthal University, Germany;German Aerospace Center (DLR)
Venue:
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
Year:
2010

Citing 9
Cited 0

I-COLLIDE: an interactive and exact collision detection system for large-scale environments

I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
OBBTree: a hierarchical structure for rapid interference detection

SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Six degree-of-freedom haptic rendering using voxel sampling

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Efficient collision detection of complex deformable models using AABB trees

Journal of Graphics Tools
Rapid Collision Detection by Dynamically Aligned DOP-Trees

VRAIS '98 Proceedings of the Virtual Reality Annual International Symposium
Interactive collision detection between deformable models using chromatic decomposition

ACM SIGGRAPH 2005 Papers
Standardized Evaluation of Haptic Rendering Systems

HAPTICS '06 Proceedings of the Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Evaluation of real-time physics simulation systems

Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia
A unified approach for physically-based simulations and haptic rendering

Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a benchmarking suite for rigid object collision detection and collision response schemes. The proposed benchmarking suite can evaluate both the performance as well as the quality of the collision response. The former is achieved by densely sampling the configuration space of a large number of highly detailed objects; the latter is achieved by a novel methodology that comprises a number of models for certain collision scenarios. With these models, we compare the force and torque signals both in direction and magnitude. Our device-independent approach allows objective predictions for physically-based simulations as well as 6-DOF haptic rendering scenarios. In the results, we show a comprehensive example application of our benchmarks comparing two quite different algorithms utilizing our proposed benchmarking suite. This proves empirically that our methodology can become a standard evaluation framework.