System and method for vehicle taillight state recognition
US11734563B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 9, 2022 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | May 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/584
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for taillight signal recognition using a convolutional neural network is disclosed. An example embodiment includes: receiving a plurality of image frames from one or more image-generating devices of an autonomous vehicle; using a single-frame taillight illumination status annotation dataset and a single-frame taillight mask dataset to recognize a taillight illumination status of a proximate vehicle identified in an image frame of the plurality of image frames, the single-frame taillight illumination status annotation dataset including one or more taillight illumination status conditions of a right or left vehicle taillight signal, the single-frame taillight mask dataset including annotations to isolate a taillight region of a vehicle; and using a multi-frame taillight illumination status dataset to recognize a taillight illumination status of the proximate vehicle in multiple image frames of the plurality of image frames, the multiple image frames being in temporal succession.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.