Name
Abstract | ||
|---|---|---|
Compared to the motion equations the data-driven method can simulate reality from sampling of real motions but real-time interaction between a user and the simulator is problematic. Existing data-driven motion generation methods simply record and replay the motion of the vehicle. Character animation technology enables a user to control motions that are generated by a motion capture database and an appropriate motion control algorithm. We propose a data-driven motion generation method and implement a driving simulator by adapting the method of motion capture. The motion data sampled from a real vehicle are transformed into appropriate data structures called motion blocks, and then a series of motion blocks are saved into the motion database. During simulation, the driving simulator searches for and synthesizes optimal motion blocks from the motion database and generates motion streams that reflect the current simulation conditions and parameterized user demands. We demonstrate the proposed method through experiments with the driving simulator. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.compind.2008.01.002 | Computers in Industry |
Keywords | DocType | Volume |
synthesizes optimal motion block,Sampled motion,Driving simulator,motion stream,Data-driven motion generation,driving simulator,motion database,appropriate motion control algorithm,interactive data-driven,motion capture database,motion data,Motion block,Motion database,motion blending,motion block,real motion,data-driven motion generation method | Journal | 59 |
Issue | ISSN | Citations |
5 | Computers in Industry | 4 |
PageRank | References | Authors |
0.64 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moohyun Cha | 1 | 29 | 8.38 |
| Jeongsam Yang | 2 | 70 | 9.29 |
| soonhung han | 3 | 416 | 49.72 |