System and method for predicting and interpreting driving behavior
US11203348B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2020 |
| Grant date | Dec 21, 2021 |
| Priority date | — |
| Expiry date | Apr 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/295
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for predicting and interpreting driving behavior of a vehicle includes a first edge computing device that can acquire spatial-temporal data for the vehicle from one or more sensors that are part of traffic infrastructure. The first edge computing device includes a processor and instructions executable by the processor that execute unsupervised deep learning methods on the data from the sensors to cluster the data into segments and integrate a language model with the deep learning method to output driving behavior in a natural language. The instructions further include normalizing the data, processing the data with a first artificial neural network (ANN) to output a first vector, processing the clustered data segments with a second ANN to output a second vector, concatenating the vectors into a single vector, and processing the single vector with a third ANN to output a predicted driving behavior of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.