Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model
US12340597B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2023 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Aug 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30256
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.