Detecting and mitigating local individual driver anomalous behavior
US11610441B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 22, 2017 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | Apr 11, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG07C5/0816
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for identifying anomalous driving behavior for a vehicle based on past driving behavior are disclosed herein. The method may include receiving a set of time-series driving data for the vehicle, wherein the set of time-series driving data is indicative of a set of operating conditions for the vehicle. Performing machine learning operations on the set of time-series driving data. Identifying a set of anomalous conditions in the time-series driving data based on a result set produced by the machine learning operations, wherein the set of anomalous conditions are indicative of an anomalous vehicle behavior. Comparing the set of anomalous conditions to a set of historical time-series driving data for the vehicle. Generating a vehicle feedback based on the time-series driving data and the comparison of the set of anomalous conditions to the set of historical time-series driving data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.