Unsupervised classification of encountering scenarios using connected vehicle datasets
US11194331B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 30, 2018 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Sep 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method in a data processing system that includes at least one processor and at least one memory. The at least one memory includes instructions executed by the at least one processor to implement a driving encounter recognition system. The method includes receiving information, from one or more sensors coupled to a first vehicle, determining first trajectory information associated with the first vehicle and second trajectory information associated with a second vehicle, extracting a feature vector, providing the feature vector to a trained classifier, the classifier trained using unsupervised learning based on a plurality of feature vectors, and receiving, from the trained classifier, a classification of the current driving encounter in order to facilitate the first vehicle to perform a maneuver based on the current driving encounter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.