Image pre-processing in a lane marking determination system
US10990815B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2018 |
| Grant date | Apr 27, 2021 |
| Priority date | — |
| Expiry date | Jun 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/422
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and processes can reduce or divide images of road networks into sub-images that depict straight or substantially straight sections of roads in the road networks. These sub-images or image segments can be normalized by, for example, rotating each of the sub-images such that the depicted roads are horizontal or otherwise share the same angle. By aligning disparate images of roads, it is possible to both reduce the amount of training data used to generate a machine learning model and to increase the accuracy of an automated lane marking or labelling system. Further, the use of normalized images by the machine learning model enables a reduction in computing resources used to perform automated lane marking processes while maintaining or improving accuracy of the lane marking processes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.