Researchers at the University of Michigan (U-M) have developed a real-time, 3D motion tracking system developed that combines transparent light detectors with advanced neural network methods. The system could one day replace LiDAR and cameras in autonomous technologies and future applications include automated manufacturing, biomedical imaging and autonomous driving.
The imaging system relies on transparent, highly sensitive graphene photodetectors developed by Zhaohui Zhong, U-M associate professor of electrical and computer engineering, and his group. They’re believed to be the first of their kind.
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