NEURAL NETWORK BASED VEHICLE DYNAMICS MODEL

Patent №

US 11,029,693

Granted

2021-06-08

Filed 2017

Owner

TUSIMPLE

Lab

AI components

4

ml · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15672207

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.

Machine learningPlanningEvolutionary computationAI hardwareG05D 1/0221G05D 1/0088G05D 1/0274G05D 1/0285G05D 1/246G05D 1/247G05D 1/81G06N 3/00+3 more

AI classification

Planning1.00
Machine learning1.00
AI hardware1.00
Evolutionary computation0.56
Natural language0.00
Speech0.00
Vision0.00
Knowledge representation0.00

Ownership

TUSIMPLE

assignment · 474670765

Assignors

LIN, WUTU, LIU, LIU, CHEN, JUN

On an employer assignment, the assignors are typically the inventors.

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