MULTI-PLANE AUGMENTED REALITY IMAGE GENERATION

A set of training images are input into a neural network that outputs a pixel-wise phase matrix identifying pixels in the training images. Based on the pixel-wise phase matrix, a spatial light modulator (SLM) is actuated to output, onto a vehicle windshield, an augmented reality (AR) image including...

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Bibliographische Detailangaben
Hauptverfasser:	Wan, Jian, King, Anthony Gerald
Format:	Patent
Sprache:	eng
Schlagworte:	ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS INVEHICLES ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OFTRANSMISSIONS IN VEHICLES ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GASEXHAUST OR FUEL SUPPLY OF PROPULSION UNITS, IN VEHICLES AUXILIARY DRIVES FOR VEHICLES CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INSTRUMENTATION OR DASHBOARDS FOR VEHICLES OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS OPTICS PERFORMING OPERATIONS PHYSICS TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	A set of training images are input into a neural network that outputs a pixel-wise phase matrix identifying pixels in the training images. Based on the pixel-wise phase matrix, a spatial light modulator (SLM) is actuated to output, onto a vehicle windshield, an augmented reality (AR) image including a plurality of sub-images each output in one of a plurality of focal planes. Each training image corresponds to one respective sub-image. A feedback image of the AR image is obtained via an image sensor. An offset is determined based on comparing the training images to the feedback image. Parameters of a loss function are updated based on the offset, and the updated parameters are provided to the neural network to obtain an updated offset.