Neural network based safety monitoring system for autonomous vehicles
US10457294B1 · kind B1 · utility
22Cited by
2References
21Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2018 |
| Grant date | Oct 29, 2019 |
| Priority date | — |
| Expiry date | Jun 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment, a system receives sensor data from a number of sensors of the ADV. The system extracts a predetermined number of features from the sensor data using a machine learning model. The system determining whether to alert a user to intervene the ADS based on the extracted features using the machine learning model. The system then generating a safety alarm based on the determining whether to alert the user to intervene the ADS and alerts the user to intervene the ADS of the ADV based on the generated safety alarm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.