Remote control system for training deep neural networks in autonomous machine applications
US11789445B2 · kind B2 · utility
1Cited by
4References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Jul 19, 2021 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Oct 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG07C5/008
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
In various examples, at least partial control of a vehicle may be transferred to a control system remote from the vehicle. Sensor data may be received from a sensor(s) of the vehicle and the sensor data may be encoded to generate encoded sensor data. The encoded sensor data may be transmitted to the control system for display on a virtual reality headset of the control system. Control data may be received by the vehicle and from the control system that may be representative of a control input(s) from the control system, and actuation by an actuation component(s) of the vehicle may be caused based on the control input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.