Traffic light detection auto-labeling and federated learning based on vehicle-to-infrastructure communications
US11704385B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2020 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Oct 15, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/45
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for traffic light auto-labeling includes aggregating vehicle-to-infrastructure (V2I) traffic light signals at an intersection to determine transition states of each driving lane at the intersection during operation of an ego vehicle. The method also includes automatically labeling image training data to form auto-labeled image training data for a traffic light recognition model within the ego vehicle according to the determined transition states of each driving lane at the intersection. The method further includes planning a trajectory of the ego vehicle to comply with a right-of-way according to the determined transition states of each driving lane at the intersection according to a trained traffic light detection model. A federated learning module may train the traffic light recognition model using the auto-labeled image training data during the operation of the ego vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.