Invention Grant
- Patent Title: Neural network based vehicle dynamics model
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Application No.: US15672207Application Date: 2017-08-08
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Publication No.: US10895877B2Publication Date: 2021-01-19
- Inventor: Jun Chen , Wutu Lin , Liu Liu
- Applicant: TuSimple, Inc.
- Applicant Address: US CA San Diego
- Assignee: TuSimple, Inc.
- Current Assignee: TuSimple, Inc.
- Current Assignee Address: US CA San Diego
- Agent Paul Liu; Jim Salter
- Main IPC: G06G7/48
- IPC: G06G7/48 ; G05D1/02 ; G05D1/00 ; G06N3/00

Abstract:
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.
Public/Granted literature
- US11029693B2 Neural network based vehicle dynamics model Public/Granted day:2021-06-08
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