Systems and methods for identifying high-risk driving situations from driving data
US12097845B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2020 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Nov 23, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2540/30
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A method for identifying high-risk driving situations in driving data may include receiving driving data, identifying trigger events in the driving data, and using the trigger events in combination with first portions of the driving data corresponding to periods of time preceding the trigger events, training a machine learning model to identify features, in the driving data, associated with the trigger events. The method may further include using second portions of the driving data where no trigger events are identified, further training the machine learning model to ignore features common to both the first portions and the second portions. The method further includes detecting a high risk driving situation in real time driving data by using the machine learning model to identify the features associated with the trigger events, and performing a defensive driving maneuver in response to the detection of the high risk driving situation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.