Learning-based dynamic modeling methods for autonomous driving vehicles
US11199846B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2018 |
| Grant date | Dec 14, 2021 |
| Priority date | — |
| Expiry date | Mar 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an embodiment, a learning-based dynamic modeling method is provided for use with an autonomous driving vehicle. A control module in the ADV can generate current states of the ADV and control commands for a first driving cycle, and send the current states and control commands to a dynamic model implemented using a trained neural network model. Based on the current states and the control commands, the dynamic model generates expected future states for a second driving cycle, during which the control module generates actual future states. The ADV compares the expected future states and the actual future states to generate a comparison result, for use in evaluating one or more of a decision module, a planning module and a control module in the ADV.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.