REAL-TIME CROSS-SPECTRAL OBJECT ASSOCIATION AND DEPTH ESTIMATION

A method for real-time cross-spectral object association and depth estimation is presented. The method includes synthesizing (1010), by a cross-spectral generative adversarial network (CS-GAN), visual images from different data streams obtained from a plurality of different types of sensors, applyin...

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Hauptverfasser:	CHAKRADHAR, Srimat, DROLIA, Utsav, SANKARADAS, Murugan, YANG, Yi, DEBNATH, Biplob, REDKAR, Amit, RAJENDRAN, Ravi Kailasam, RAO, Kunal
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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