Remote control system for training deep neural networks in autonomous machine applications

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...

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Bibliographische Detailangaben
Hauptverfasser:	Gudadhe, Prajakta, Johnston, Dane, Huang, Jen-Hsun, Ebert, Justin
Format:	Patent
Sprache:	eng
Schlagworte:	ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTING CONTROLLING COUNTING ELECTRIC DIGITAL DATA PROCESSING GENERATING RANDOM NUMBERS GYROSCOPIC INSTRUMENTS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS OPTICS PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES REGULATING SURVEYING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TESTING TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS
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Beschreibung
Zusammenfassung:	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.