Traffic prediction based on map images for autonomous driving
US11367354B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 22, 2017 |
| Grant date | Jun 21, 2022 |
| Priority date | — |
| Expiry date | May 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/09626
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
In one embodiment, in response to perception data perceiving a driving environment surrounding an ADV, a map image of a map covering a location associated with the driving environment is obtained. An image recognition is performed on the map image to recognize one or more objects from the map image. An object may represent a particular road, a building structure (e.g., a parking lot, an intersection, or a roundabout). One or more features are extracted from the recognized objects, where the features may indicate or describe the traffic condition of the driving environment. Behaviors of one or more traffic participants perceived from the perception data are predicted based on the extracted features. A trajectory for controlling the ADV to navigate through the driving environment is planned based on the predicted behaviors of the traffic participants. A traffic participant can be a vehicle, a cyclist, or a pedestrian.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.