Dynamic model with learning based localization correction system
US11269329B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 21, 2019 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Sep 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a set of parameters representing a first state of an autonomous driving vehicle (ADV) to be simulated and a set of control commands to be issued at a first point in time. In response, a localization predictive model is applied to the set of parameters to determine a first position (e.g., x, y) of the ADV. A localization correction model is applied to the set of parameters to determine a set of localization correction factors (e.g., Δx, Δy). The correction factors may represent the errors between the predicted position of the ADV by the localization predictive model and the ground truth measured by sensors of the vehicle. Based on the first position of the ADV and the correction factors, a second position of the ADV is determined as the simulated position of the ADV.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.