Method of segmenting abnormal robust for complex autonomous driving scenes and system thereof
US11954917B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2023 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Jul 12, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/4049
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A present disclosure is a method of segmenting an abnormal robust for complex autonomous driving scenes and a system thereof, specifically relates to the technical field of an image segmenting system. The system includes: a segmentation module, configured to transmit an obtained input image to the segmentation network to obtain a segmentation prediction image, and then quantify the uncertainty of a segmentation prediction by means of calculating two different discrete metrics; a synthesis module, configured to match a generated data distribution with a data distribution of the input image by utilizing a conditional generative adversarial network; a difference module, configured to model and calculate the input image, an generated image, the semantic feature map and the uncertainty feature map based on an encoder, a fusion module and a decoder, to generate the segmentation prediction images for the abnormal objects; a model training module; and an integrated prediction module.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.