Systems and methods for utilizing models to identify a vehicle accident based on vehicle sensor data and video data captured by a vehicle device
US11328505B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2020 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Aug 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.