Method and system for human-like driving lane planning in autonomous driving vehicles
US11273836B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2017 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Mar 1, 2039 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/50
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The present teaching relates to method, system, medium, and implementation of lane planning in an autonomous vehicle. Sensor data are received that capture ground images of a road the autonomous vehicle is on. Based on the sensor data, a current lane of the road that autonomous vehicle is currently occupying is detected. Lane control for the autonomous vehicle is planned based on the detected current lane and self-aware capability parameters in accordance with a driving lane control model. The self-aware capability parameters are used to predict operational capability of the autonomous vehicle with respect to a current location of the autonomous vehicle. The driving lane control model is generated based on recorded human driving data to achieve human-like lane control behavior in different scenarios.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.