System and process for end to end prediction of lane detection uncertainty
US11390286B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2020 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Dec 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/0088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for end to end prediction of lane detection uncertainty includes a sensor device of a host vehicle generating data related to a road surface and a navigation controller including a computerized processor operable to monitor an input image from the sensor device, utilize a convolutional neural network to analyze the input image and output a lane prediction and a lane uncertainty prediction, and generate a commanded navigation plot based upon the lane prediction and the lane uncertainty prediction. The convolutional neural network is initially trained using a per point association and error calculation, including associating a selected ground truth lane to a selected set of data points related to a predicted lane and then associating at least one point of the selected ground truth lane to a corresponding data point from the selected set of data points related to the predicted lane.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.