Training machine learning model for controlling autonomous vehicle
US11782451B1 · kind B1 · utility
5Cited by
1References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Dec 29, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Apr 10, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2540/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for training one or more cost functions of an autonomous vehicle (“AV”) control system based on difference between data generated using the AV control system and manual driving data. In many implementations, manual driving data captures action(s) of a vehicle controlled by a manual driver. Additionally or alternatively, multiple AV control systems can be evaluated by comparing deviations for each AV control system, where the deviations are determined using the same set of manual driving data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.