Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1889863.1889874 | VRST |
Keywords | Field | DocType |
6-dof haptic rendering scenario,novel methodology,collision response,rigid object collision detection,proposed benchmarking suite,benchmarking suite,collision response scheme,response algorithm,large number,6-dof real time collision,comprehensive example application,certain collision scenario,benchmarking,haptics,collision detection,configuration space,real time | Collision detection,Suite,Simulation,Computer science,Algorithm,Collision,Sampling (statistics),Collision response,Haptic technology,Benchmarking,Configuration space | Conference |
Citations | PageRank | References |
6 | 0.47 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rene Weller | 1 | 98 | 13.58 |
| Mikel Sagardia | 2 | 33 | 5.32 |
| David Mainzer | 3 | 11 | 1.09 |
| Thomas Hulin | 4 | 18 | 2.17 |
| Gabriel Zachmann | 5 | 636 | 60.39 |
| Carsten Preusche | 6 | 6 | 0.47 |