Using a multimode neural network to determine a representation of a spatial structure objects in an image

A representation of a spatial structure of objects in an image can be determined. A mode of a neural network can be set, in response to a receipt of the image and a receipt of a facing direction of a camera that produced the image. The mode can account for the facing direction. The facing direction...

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Bibliographische Detailangaben
Hauptverfasser:	Pillai, Sudeep, Guizilini, Vitor, Ambrus, Rares A, Gaidon, Adrien David
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES COUNTING ELECTRIC DIGITAL DATA PROCESSING PERFORMING OPERATIONS PHYSICS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	A representation of a spatial structure of objects in an image can be determined. A mode of a neural network can be set, in response to a receipt of the image and a receipt of a facing direction of a camera that produced the image. The mode can account for the facing direction. The facing direction can include one or more of a first facing direction of a first camera disposed on a vehicle or a second facing direction of a second camera disposed on the vehicle. The neural network can be executed, in response to the mode having been set, to determine the representation of the spatial structure of the objects in the image. The representation of the spatial structure of the objects in the image can be transmitted to an automotive navigation system to determine a distance between the vehicle and a specific object in the image.