Detecting objects non-visible in color images

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United States of America Patent

PATENT NO 12205343
APP PUB NO 20220172452A1
SERIAL NO

17537671

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Abstract

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A computer-implemented method of detecting one or more objects in a driving environment located externally to a vehicle, and a vehicle imaging system configured to detect one or more objects. The computer-implemented method includes training a first neural network to detect objects in a color video stream, the first neural network having a plurality of mid-level color features at a plurality of scales, and training a second neural network, operatively coupled to color neural network and an infrared video stream, to match, at the plurality of scales, mid-level infrared features of the second neural network to mid-level color features of the first neural network. A pixel-level invisibility map is then generated from the color video stream and the infrared video stream by determining differences, at each of the plurality of scales, between mid-level color features at the first neural network and mid-level infrared features at the second infrared neural network, and coupling the result to a fusing function.

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Patent Owner(s)

Patent OwnerAddress
GEORGE MASON UNIVERSITY4400 UNIVERSITY DR MSN 5G5 FAIRFAX VA 22030

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Wang, Yongxin Fairfax, US 56 100
Wijesekera, Duminda McLean, US 8 589

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