Vehicle location using combined inputs of redundant localization pipelines
US12054173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2021 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Feb 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S19/396
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Provided are methods for semantic annotation of sensor data using unreliable map annotation inputs, which can include training a machine learning model to accept inputs including images representing sensor data for a geographic area and unreliable semantic annotations for the geographic area. The machine learning model can be trained against validated semantic annotations for the geographic area, such that subsequent to training, additional images representing sensor data and additional unreliable semantic annotations can be passed through the neural network to provide predicted semantic annotations for the additional images. Systems and computer program products are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.