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A real-time 3D tracking system developed at the University of Michigan may one day replace lidar and cameras in autonomous technologies. The system combines transparent graphene-based light detectors and advanced neural networks to sense and image scenes in three dimensions.
The graphene photodetectors, developed by Zhaohui Zhong, associate professor of electrical and computer engineering, were modified to absorb only about 10% of the light to which they are exposed, which makes them nearly transparent. Due to graphene’s high sensitivity to light, that percentage is sufficient to generate images that can be reconstructed through computational imaging.
“One way to make transparent detectors is to make the absorbing…READ MORE