Similarity learning and association between observations of multiple connected vehicles
US10916135B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2018 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Aug 30, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/65
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a first vehicle platform includes a first sensor that has a first perspective directed toward an external environment and that captures first sensor data reflecting first objects, and a communication unit for receiving second sensor data from a second vehicle platform that reflects second objects included in the external environment. One or more computing devices extract a first set of multi-modal features from the first objects, and a second set of multi-modal features from the second objects in the second image, process the first set of multi-modal features and the second set of multi-modal features using separate machine learning logic to produce a first output and a second output, respectively, generate a similarity score using the first output and the second output; and associate the first and second perspectives using the similarity score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.