- 专利标题: Neural network based vehicle dynamics model
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申请号: US18094363申请日: 2023-01-08
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公开(公告)号: US12007778B2公开(公告)日: 2024-06-11
- 发明人: Jun Chen , Wutu Lin , Liu Liu
- 申请人: TuSimple, Inc.
- 申请人地址: US CA San Diego
- 专利权人: TUSIMPLE, INC.
- 当前专利权人: TUSIMPLE, INC.
- 当前专利权人地址: US CA San Diego
- 代理机构: Inventive Law Inc.
- 代理商 Jim H. Salter
- 主分类号: G06F30/20
- IPC分类号: G06F30/20 ; G05D1/00 ; G06N3/00
摘要:
A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.
公开/授权文献
- US20230161354A1 NEURAL NETWORK BASED VEHICLE DYNAMICS MODEL 公开/授权日:2023-05-25
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