System and method for using triplet loss for proposal free instance-wise semantic segmentation for lane detection
US10303956B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 23, 2017 |
| Grant date | May 28, 2019 |
| Priority date | — |
| Expiry date | Aug 24, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30256
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for using triplet loss for proposal free instance-wise semantic segmentation for lane detection are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing a semantic segmentation operation or other object detection on the received image data to identify and label objects in the image data with object category labels on a per-pixel basis and producing corresponding semantic segmentation prediction data; performing a triplet loss calculation operation using the semantic segmentation prediction data to identify different instances of objects with similar object category labels found in the image data; and determining an appropriate vehicle control action for the autonomous vehicle based on the different instances of objects identified in the image data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.