System and method for providing driver behavior classification at intersections and validation on large naturalistic data sets
US9129519B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2013 |
| Grant date | Sep 8, 2015 |
| Priority date | — |
| Expiry date | Jul 30, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/166
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A system and method for predicting whether a vehicle will come to a stop at an intersection is provided. Generally, the system contains a memory; and a processor configured by the memory to perform the steps of: generating a prediction of whether the vehicle will or will not stop at the intersection before a first time based on vehicle data measured during a first time window; and at a second time, the second time being before the first time and approximately equal to a time at which the time window ends, providing an indication that the vehicle will not stop at the intersection before the first time based upon the prediction, wherein generating the prediction comprises using a classification model, the classification model configured to indicate whether the vehicle will or will not stop at the intersection before the first time based on a plurality of input parameters, and wherein the plurality of input parameters are selected from the group consisting of speed, acceleration, and distance to the intersection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.