An interactive data-driven driving simulator using motion blending

Authors:
Moohyun Cha;Jeongsam Yang;Soonhung Han
Affiliations:
e-Engineering Research Center, Korea Institute of Machinery & Materials (KIMM), 171 Jang-Dong, Yuseong-Gu, Daejon 305-343, Republic of Korea;Division of Industrial & Information Systems Engineering, Ajou University, San 5, Wonchun-Dong, Yeongtong-Gu, Suwon 443-749, Republic of Korea;Department of Mechanical Engineering, Korea Institute of Science & Technology (KAIST), 373-1 Gusong-Dong, Yuseong-Gu, Daejeon 305-701, Republic of Korea
Venue:
Computers in Industry
Year:
2008

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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.